{ "@context": "https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld", "@id": "https://edg.epa.gov/data/Public/ORD/metadata/ORD.json", "@type": "dcat:Catalog", "conformsTo": "https://project-open-data.cio.gov/v1.1/schema", "describedBy": "https://project-open-data.cio.gov/v1.1/schema/catalog.json", "dataset": [ { "@type": "dcat:Dataset", "title": "Toxicity Reference Database", "description": "The Toxicity Reference Database (ToxRefDB) contains approximately 30 years and $2 billion worth of animal studies. ToxRefDB allows scientists and the interested public to search and download thousands of animal toxicity testing results for hundreds of chemicals that were previously found only in paper documents. Currently, there are 474 chemicals in ToxRefDB, primarily the data rich pesticide active ingredients, but the number will continue to expand.", "keyword": [ "datafinder", "substances", "chemicals", "human health", "health risks", "exposure", "environment", "environment", "united states", "health" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Matt Martin, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:martin.matt@epa.gov" }, "identifier": "8D1F4382-424A-492E-8D2E-ADC046140BBB", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8D1F4382-424A-492E-8D2E-ADC046140BBB%7D", "https://edg.epa.gov/metadata/rest/document?id=%7B8D1F4382-424A-492E-8D2E-ADC046140BBB%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "title": "Characterization Factors for Construction Material EPD Indicators (ISO21930-LCIA-US) v0.1", "description": "This dataset contains characterization factors (CFs) for the five mandatory life cycle impact assessment (LCIA) categories required in ISO 21930:2017: \n1.\tGreenhouse gases (GHG), which is incorrectly named \u2018GWP\u2019 in the standard,\n2.\tOzone Depletion Potential (ODP),\n3.\tEutrophication Potential (EP),\n4.\tAcidification Potential (AP), and\n5.\tPhotochemical Ozone Formation Potential (POCP)\nThese CFs are appropriate for use with life cycle inventory data for activities occurring within the United States. \nThe short name for the dataset is ISO21930-LCIA-US v0.1.\nThe characterization factors, with the exception of GHGs, are identical to the those currently in TRACI v2.1 for the corresponding impact categories. The four TRACI v2.1 impact categories have the same names as ISO 21930:2017 with the exception of POCP, which is called \u201csmog formation\u201d in TRACI v2.1. The characterization factors for GHGs are the 100-year (GWP-100) GWPs from the International Panel for Climate Change (IPCC)\u2019s 5th Assessment Report (AR5) report. \nThe names for the chemicals, release contexts, units and IDs are from the Federal LCA Elementary Flow List (FEDEFL) v1.2. These datasets were created using the LCIA Formatter v1.1.2 (https://github.com/USEPA/LCIAformatter).\nFormats\nDatasets are provided in simple tables in Excel, in the openLCA JSON-LD format using Federal LCA Commons standards, and in Apache parquet format. The fields in the Excel and identical parquet versions use the LCIAmethod format fields: https://github.com/USEPA/LCIAformatter/blob/master/format%20specs/LCIAmethod.md\n1.\tZip archives of JSON files in the JSON-LD schema: a file type associated with the openLCA schema. Two JSON-LD versions are provided. \na.\t\u201cISO21930-LCIA-USv0.1_noflows_json-ld.zip\u201d is without flow objects. \nb.\t\u201cISO21930-LCIA-USv0.1_wprefflows_json-ld.zip\u201d is with flow objects of preferred flows from the FEDEFL.\nSee usage notes below. \n2.\tExcel and parquet: tabular format according to schema from the LCIA formatter, with additional fields added:\no\t\u201csource_method\u201d: indicates the original method source for the indicator (e.g., TRACI 2.1 or IPCC)\no\t\u201csource_indicator\u201d: indicates the name of the indicator in its original form (e.g. Smog Formation)\no\t\u201ccategory\u201d: indicates the desired parent folder name for the impact category (shown as \u201cEPA EPD in Figure 1)\nUsage\nGenerally, in all formats, the CFs can be multiplied by kg (or unit specified in the denominator) of the relevant chemical emitted to calculate the potential impact value for a given impact category for that relevant chemical. If no CF exists for a chemical in a given impact category, it is not considered to have an impact in that category.\nThe parquet format is most efficient for import into applications or scripts using languages like Python and R.\nThe Zip archives of JSON-LD files can be loaded into openLCA or other LCA or EPD software supporting that format. When loaded into openLCA (via JSON-LD), the method shows as a separate impact assessment method. Individual indicators are categorized within the EPA EPD category.\nFor introduction to importing a dataset into openLCA we recommend this training video from the National Renewable Energy Laboratory. https://youtu.be/YLao5jC5b_0?si=H0SNZ_ufOwInkgCF&t=48\nThe version with no flows is designed to import in a database that already has FEDEFL elementary flows or no more modeling is to be done that would use any new flows. It will only create the LCIA method.\nThe version with flows can be imported into a new \u2018empty\u2019 database and it will create not just the LCIA method but all associated flows and more basic objects like units and flow properties. It can be used when no process data that you wish to model has been created yet and/or if you want to have a full import of all relevant elementary flows.\n", "bureauCode": [ "020:00" ], "dataQuality": true, "publisher": { "@type": "org:Organization", "name": "Office of Chemical Safety and Pollution Prevention" }, "contactPoint": { "fn": "Low Embodied Carbon Team", "hasEmail": "mailto:embodiedcarbon@epa.gov", "@type": "vcard:Contact" }, "keyword": [ "Air", "Water", "Impact", "United States", "environment", "LCIA", "Environmental product declarations", "Low embodied carbon", "carbon label" ], "modified": "2024-04-26", "identifier": "9bf03ab6-dd13-4d5a-a92e-b33f9d77a100", "accessLevel": "public", "license": "https://edg.epa.gov/EPA_Data_License.html", "temporal": "2000-01-01/2030-01-01", "issued": "2024-04", "accrualPeriodicity": "R/P6M", "language": [ "en-us" ], "conformsTo": "https://greendelta.github.io/olca-schema/", "describedBy": "https://github.com/USEPA/LCIAformatter/blob/master/format%20specs/LCIAmethod.md", "landingPage": "https://www.epa.gov/greenerproducts/tools-resources", "references": [ "https://downloads.regulations.gov/EPA-HQ-OPPT-2024-0075-0002/content.pdf", "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1.xlsx", "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1_v1.1.2_e7c9269.parquet", "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1_noflows_json-ld.zip", "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1_wprefflows_json-ld.zip" ], "programCode": [ "020:085" ], "primaryitinvestmentuii": "020-000030304" }, { "@type": "dcat:Dataset", "title": "Surplus Precipitation", "description": "Surplus Precipitation (mm): precipitation minus potential evaporation within catchment", "publisher": { "@type": "org:Organization", "name": "US Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)" }, "contactPoint": { "fn": "Marc Weber", "hasEmail": "mailto:weber.marc@epa.gov", "@type": "vcard:Contact" }, "keyword": [ "Ecosystem", "environment", "Surface Water", "Modeling", "Monitoring", "Natural Resources", "United States", "Alaska", "Hawaii", "Alabama", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "Florida", "Georgia", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New York", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", "Wisconsin", "Wyoming", "Water", "NHDPlus V21", "Precipitation" ], "bureauCode": [ "020:00" ], "dataQuality": true, "modified": "2021", "identifier": "04760b79-3aae-407a-a830-f0dd04c90739", "accessLevel": "public", "license": "https://edg.epa.gov/EPA_Data_License.html", "temporal": "2021-09-09/2021-09-09", "programCode": [ "020:096" ] }, { "@type": "dcat:Dataset", "title": "ToxCast Phase I", "description": "Background: Chemical toxicity testing is being transformed by advances in biology and computer modeling, concerns over animal use and the thousands of environmental chemicals lacking toxicity data. EPA's ToxCast program aims to address these concerns by screening and prioritizing chemicals for potential human toxicity using in vitro assays and in silico approaches. Objectives: This project aims to evaluate the use of in vitro assays for understanding the types of molecular and pathway perturbations caused by environmental chemicals and to build initial prioritization models of in vivo toxicity. Methods: We tested 309 mostly pesticide active chemicals in 467 assays across 9 technologies, including high-throughput cell-free assays and cell-based assays in multiple human primary cells and cell lines, plus rat primary hepatocytes. Both individual and composite scores for effects on genes and pathways were analyzed. Results: Chemicals display a broad spectrum of activity at the molecular and pathway levels. Many expected interactions are seen, including endocrine and xenobiotic metabolism enzyme activity. Chemicals range in promiscuity across pathways, from no activity to affecting dozens of pathways. We find a statistically significant inverse association between the number of pathways perturbed by a chemical at low in vitro concentrations and the lowest in vivo dose at which a chemical causes toxicity. We also find associations between a small set in vitro assays and rodent liver lesion formation. Conclusions: This approach promises to provide meaningful data on the thousands of untested environmental chemicals, and to guide targeted testing of environmental contaminants.", "keyword": [ "chemical safety", "chemical safety research", "chemicals", "chemical testing", "innovative chemical testing", "computational toxicology", "chemical screening", "toxcast", "tox21", "epa research", "chemical science", "chemical health effects", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Richard Judson, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:judson.richard@epa.gov" }, "identifier": "227B16A3-AEE1-4724-A91B-D4119F5A2C1B", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B227B16A3-AEE1-4724-A91B-D4119F5A2C1B%7D", "https://edg.epa.gov/metadata/rest/document?id=%7B227B16A3-AEE1-4724-A91B-D4119F5A2C1B%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "Interactive Chemical Safety for Sustainablity Toxicity Forecaster Dashboard", "description": "EPA researchers have been using advances in computational toxicology to address lack of data on the thousands of chemicals. EPA released chemical data on 1,800 chemicals. The 1,800 chemicals were screened in more than 800 rapid, automated tests (called high-throughput screening assays) to determine potential human health effects. The data is available through the interactive Chemical Safety for Sustainability Dashboards (iCSS dashboard) and the complete data sets are also available for download.", "keyword": [ "chemical safety", "chemical safety research", "chemicals", "chemical testing", "innovative chemical testing", "computational toxicology", "chemical screening", "toxcast", "actor", "chemical health effects", "chemical science", "epa research", "high-throughput data", "in vitro data", "tox21", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Matt Martin, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:martin.matt@epa.gov" }, "identifier": "9E05E004-0752-4881-B1EF-27456E0EE6CA", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E05E004-0752-4881-B1EF-27456E0EE6CA%7D", "https://edg.epa.gov/metadata/rest/document?id=%7B9E05E004-0752-4881-B1EF-27456E0EE6CA%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "Exposure Forecaster", "description": "The Exposure Forecaster Database (ExpoCastDB) is EPA's database for aggregating chemical exposure information and can be used to help with chemical exposure predictions. The database currently includes biomonitoring exposure data from three studies: the American Healthy Homes Survey, the First National Environmental Health Survey of Child Care Centers and the Children's Total Exposure to Persistent Pesticides and Other Persistent Organic Pollutants study. Data include the amounts of chemicals found in food, drinking water, air, dust indoor surfaces and urine. The database will eventually include high-throughput exposure predictions for thousands of chemicals based on manufacture and use information. EPA researchers developed high-throughput exposure models to predict exposures for 1,763 chemicals using production volume, environmental fate and transport models, and a simple indicator of consumer product use.The model is being improved by adding more refined indoor and consumer use information since these are also large determinants of exposure. As these models are refined and more exposure data is collected, it will be added to ExpoCastDB.", "keyword": [ "chemical safety", "chemical safety research", "chemicals", "chemical testing", "innovative chemical testing", "computational toxicology", "chemical screening", "toxcast", "tox21", "epa research", "chemical health effects", "consumer product", "consumer product database", "chemical exposure", "expocast", "high-throughput exposure prediction", "wal-mart data", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "John Wambaugh, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:wambaugh.john@epa.gov" }, "identifier": "33778226-2C82-4EFE-A310-1225F2911A07", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/rest/document?id=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D", "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "Distributed Structure Searchable Toxicity", "description": "The Distributed Structure Searchable Toxicity (DSSTox) online resource provides high quality chemical structures and annotations in association with toxicity data. It helps to build a data foundation for improved structure-activity relationships and predictive toxicology. DSSTox publishes summarized chemical activity representations for structure-activity modeling and provides a structure browser. This tool also houses the chemical inventories for the ToxCast and Tox21 projects.", "keyword": [ "chemical safety", "chemical safety research", "chemicals", "chemical testing", "innovative chemical testing", "computational toxicology", "chemical screening", "toxcast", "tox21", "epa research", "chemical health effects", "animal toxicity data", "animal toxicity", "animal studies", "chemical structure", "chemical annotations", "structure activity", "qsar", "dsstox", "distributed structure searchable toxicity", "epa", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Tony Williams, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:williams.antony@epa.gov" }, "identifier": "0E749283-2A82-489B-A90D-067686928631", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/rest/document?id=%7B0E749283-2A82-489B-A90D-067686928631%7D", "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0E749283-2A82-489B-A90D-067686928631%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "Consumer Product Category Database", "description": "The Chemical and Product Categories database (CPCat) catalogs the use of over 40,000 chemicals and their presence in different consumer products. The chemical use information is compiled from multiple sources while product information is gathered from publicly available Material Safety Data Sheets (MSDS). EPA researchers are evaluating the possibility of expanding the database with additional product and use information.", "keyword": [ "sample", "chemical safety", "chemical safety research", "chemicals", "chemical testing", "innovative chemical testing", "computational toxicology", "chemical screening", "toxcast", "tox21", "epa research", "chemical science", "chemical health effects", "consumer product", "consumer product database", "chemical exposure", "expocast", "high-throughput exposure prediction", "wal-mart data", "epa", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Richard Judson, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:judson.richard@epa.gov" }, "identifier": "90CDFB11-E94E-4E84-942C-5B3D2B5ED0CD", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/rest/document?id=%7B90CDFB11-E94E-4E84-942C-5B3D2B5ED0CD%7D", "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B90CDFB11-E94E-4E84-942C-5B3D2B5ED0CD%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "Aggregated Computational Toxicology Online Resource", "description": "Aggregated Computational Toxicology Online Resource (AcTOR) is EPA's online aggregator of all the public sources of chemical toxicity data. ACToR aggregates data from over 1,000 public sources on over 500,000 chemicals and is searchable by chemical name, other identifiers and by chemical structure. It can be used to query a specific chemical and find all publicly available hazard, exposure and risk assessment data. It also provides access to EPA's ToxCast, ToxRefDB, DSSTox, Dashboard and DSSTox data.", "keyword": [ "chemical safety", "chemical safety research", "chemicals", "chemical testing", "innovative chemical testing", "computational toxicology", "chemical screening", "toxcast", "tox21", "epa research", "chemical science", "chemical health effects", "animal toxicity", "animal toxicity data", "animal studies", "in vitro data", "epa", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Richard Judson, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)", "hasEmail": "mailto:judson.richard@epa.gov" }, "identifier": "46942636-82FB-46BD-B044-52EFEC632D00", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B46942636-82FB-46BD-B044-52EFEC632D00%7D", "https://edg.epa.gov/metadata/rest/document?id=%7B46942636-82FB-46BD-B044-52EFEC632D00%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "Ecotoxicology Database (ECOTOX)", "description": "The Ecotoxicology Database (ECOTOX) provides information on effects of single chemicals to ecologically-relevant species.", "keyword": [ "datafinder", "substances", "chemicals", "environmental media topics", "species", "substances", "pesticides", "environment", "environment", "environment", "united states", "environment" ], "modified": "2014-01-01", "issued": "2014-01-01", "publisher": { "@type": "org:Organization", "name": "U.S. EPA Office of Research and Development (ORD)" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Jennifer Olker, ORD-CCTE-GLTED-TTB", "hasEmail": "mailto:olker.jennifer@epa.gov" }, "identifier": "B68D31D1-D035-4678-8B0C-324CC433DBD4", "accessLevel": "public", "accrualPeriodicity": "irregular", "references": [ "https://edg.epa.gov/metadata/rest/document?id=%7BB68D31D1-D035-4678-8B0C-324CC433DBD4%7D", "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB68D31D1-D035-4678-8B0C-324CC433DBD4%7D" ], "bureauCode": [ "020:00" ], "programCode": [ "020:072" ], "license": "https://edg.epa.gov/EPA_Data_License.html", "landingPage": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB68D31D1-D035-4678-8B0C-324CC433DBD4%7D", "spatial": "-180.0,18.0,-66.0,72.0", "dataQuality": false }, { "@type": "dcat:Dataset", "title": "ToxCast/ToxRefDB", "distribution": [ { "accessURL": "https://www.epa.gov/comptox-tools/exploring-toxcast-data", "@type": "dcat:Distribution", "mediaType": "text/csv" } ], "description": "ToxCast is used as a cost-effective approach for efficiently prioritizing the toxicity testing of thousands of chemicals. It uses data from state-of-the-art high throughput screening (HTS) bioassay and builds computational models to forecast potential chemical toxicity in humans. 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