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            "description": "This dataset represents the road density within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table.  This data set is derived from TIGER/Line Files of roads in the conterminous United States. Road density describes how many kilometers of road exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of road/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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                {
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                    "format": "Comma-Separated Values (.csv)",
                    "title": "Base Flow Index",
                    "description": "This dataset represents the base flow index values within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The base-flow index (BFI) grid for the conterminous United States was developed to estimate (1) BFI values for ungaged streams, and (2) ground-water recharge throughout the conterminous United States (see Source_Information). Estimates of BFI values at ungaged streams and BFI-based ground-water recharge estimates are useful for interpreting relations between land use and water quality in surface and ground water. The bfi (%) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=F50445F4-99B8-46E7-BF1B-A75D3320E52A"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Canal Density",
            "description": "This dataset represents canal density within individual, local and accumulated upstream catchments for NHDPlusV2 Waterbodies.  Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
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                "united states",
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                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "e0398045-0643-492e-960c-d882b6519585",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Canal Density",
                    "description": "This dataset represents canal density within individual, local and accumulated upstream catchments for NHDPlusV2 Waterbodies.  Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=e0398045-0643-492e-960c-d882b6519585"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Dam Density and Storage Volume",
            "description": "This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Inventory of Dams (NID). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The NID database contains information about the dam2019s location, size, purpose, type, last inspection, regulatory facts, and other technical data. Structures on streams reduce the longitudinal and lateral hydrologic connectivity of the system. For example, impoundments above dams slow stream flow, cause deposition of sediment and reduce peak flows. Dams change both the discharge and sediment supply of streams, causing channel incision and bed coarsening downstream. Downstream areas are often sediment deprived, resulting in degradation, i.e., erosion of the stream bed and stream banks. This database was improved upon by locations verified by work from the USGS National Map (Jeff Simley Group). It was observed that some dams, some of them major and which do exist, were not part of the 2009 NID, but were represented in the USGS National Map dataset, and had been in the 2006 NID.  Approximately 1,100 such dams were added, based on the USGS National Map lat/long and the 2006 NID attributes (dam height, storage, etc.) Finally, as clean-up, a) about 600 records with duplicate NIDID were removed, and b) about 300 records were removed which represented the same location of the same dam but with a different NIDID, for the largest dams (did visual check of dams with storage above 5000 acre feet and are likely duplicated - about the 10,000 largest dams).   The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "52F2F469-AC5D-40B9-B1FD-0DFD8AC53B47",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Dam Density and Storage Volume",
                    "description": "This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Inventory of Dams (NID). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The NID database contains information about the dam2019s location, size, purpose, type, last inspection, regulatory facts, and other technical data. Structures on streams reduce the longitudinal and lateral hydrologic connectivity of the system. For example, impoundments above dams slow stream flow, cause deposition of sediment and reduce peak flows. Dams change both the discharge and sediment supply of streams, causing channel incision and bed coarsening downstream. Downstream areas are often sediment deprived, resulting in degradation, i.e., erosion of the stream bed and stream banks. This database was improved upon by locations verified by work from the USGS National Map (Jeff Simley Group). It was observed that some dams, some of them major and which do exist, were not part of the 2009 NID, but were represented in the USGS National Map dataset, and had been in the 2006 NID.  Approximately 1,100 such dams were added, based on the USGS National Map lat/long and the 2006 NID attributes (dam height, storage, etc.) Finally, as clean-up, a) about 600 records with duplicate NIDID were removed, and b) about 300 records were removed which represented the same location of the same dam but with a different NIDID, for the largest dams (did visual check of dams with storage above 5000 acre feet and are likely duplicated - about the 10,000 largest dams).   The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
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                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=52F2F469-AC5D-40B9-B1FD-0DFD8AC53B47"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites",
            "description": "This dataset represents the estimated density of georeferenced sites within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the EPA's Facility Registry Services (FRS) geodatabase. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting . Csv. The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type (see Data Structure and Attribute Information for a description of each metric).",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "AEC40436-E5D1-4AD9-BFF4-0654966EC3BF",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites",
                    "description": "This dataset represents the estimated density of georeferenced sites within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the EPA's Facility Registry Services (FRS) geodatabase. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting . Csv. The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type (see Data Structure and Attribute Information for a description of each metric).",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=AEC40436-E5D1-4AD9-BFF4-0654966EC3BF"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Forest Loss By Year 2001 to 2013",
            "description": "This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the Global Forest Change 2000, 2013, 2013. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, 201313, representing loss detected primarily in the year 2001, 2013, 2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
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                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
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            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Forest Loss By Year 2001 to 2013",
                    "description": "This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the Global Forest Change 2000, 2013, 2013. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, 201313, representing loss detected primarily in the year 2001, 2013, 2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
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            ],
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            "theme": [
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            ]
        },
        {
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            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: GeoChemPhys",
            "description": "This dataset represents geochemical or geophysical attributes in surface or near surface geology within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.",
            "keyword": [
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                "alabama",
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                "arkansas",
                "california",
                "colorado",
                "connecticut",
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                "idaho",
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                "massachusetts",
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                "missouri",
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                "new york",
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                "ohio",
                "oklahoma",
                "oregon",
                "pennsylvania",
                "rhode island",
                "south carolina",
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                "tennessee",
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                "vermont",
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                "washington",
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                "wisconsin",
                "wyoming"
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            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "GeoChemPhys",
                    "description": "This dataset represents geochemical or geophysical attributes in surface or near surface geology within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.",
                    "mediaType": "text/csv",
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            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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            ],
            "theme": [
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            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Mine Density: Active Mines and Mineral Plants in the US",
            "description": "This dataset represents mine density within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on mine plants and operations monitored by the USGS National Minerals Information Center. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table.  The National Minerals Information Center canvasses the nonfuel mining and mineral-processing industry in the United States for data on mineral production, consumption, recycling, stocks, and shipments. Mine plants and operations for commodities are expressed as points in a shapefile that was downloaded from the USGS directly. The (mines / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
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                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
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                "modeling",
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                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
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                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
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                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
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                    "describedByType": "text/html"
                },
                {
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                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Mine Density: Active Mines and Mineral Plants in the US",
                    "description": "This dataset represents mine density within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on mine plants and operations monitored by the USGS National Minerals Information Center. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table.  The National Minerals Information Center canvasses the nonfuel mining and mineral-processing industry in the United States for data on mineral production, consumption, recycling, stocks, and shipments. Mine plants and operations for commodities are expressed as points in a shapefile that was downloaded from the USGS directly. The (mines / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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            "accrualPeriodicity": "R/P3Y",
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            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Anthropogenic Barrier Dataset",
            "description": "This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Anthropogenic Barrier Dataset (NABD). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. to facilitate GIS analyses based on the NHDPlusV1/NHD and NID datasets. To meet this objective, Michigan State University conducted a spatial linkage of the point dataset of the 2009 National Inventory of Dams (NID) created by the U.S. Army Corps of Engineers (USACE) to the NHDPlusV1/NHD. The pool of dam data included were modified based on 1) dam removals that occurred after development of the 2009 NID and 2) the identification of duplicate dam records along state boundaries (cases where more than one state reported the same dam). The US Geological Survey (USGS) Aquatic GAP Program supported this work. The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
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                "ecosystem",
                "environment",
                "monitoring",
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                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
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            },
            "identifier": "8A4F8423-0D37-4F28-938A-E5522BFEAA96",
            "accessLevel": "public",
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                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "National Anthropogenic Barrier Dataset",
                    "description": "This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Anthropogenic Barrier Dataset (NABD). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. to facilitate GIS analyses based on the NHDPlusV1/NHD and NID datasets. To meet this objective, Michigan State University conducted a spatial linkage of the point dataset of the 2009 National Inventory of Dams (NID) created by the U.S. Army Corps of Engineers (USACE) to the NHDPlusV1/NHD. The pool of dam data included were modified based on 1) dam removals that occurred after development of the 2009 NID and 2) the identification of duplicate dam records along state boundaries (cases where more than one state reported the same dam). The US Geological Survey (USGS) Aquatic GAP Program supported this work. The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=8A4F8423-0D37-4F28-938A-E5522BFEAA96"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Atmospheric Deposition Program National Trends Network - Nitrogen Deposition",
            "description": "This dataset represents deposition estimates of nutrients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Atmospheric Deposition Program. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The National Trends Network provides long-term records of precipitation chemistry across the United States. Individual rasters describe ammonium, nitrate, inorganic nitrogen, and average sulfur/nitrogen deposition per year. See Source Info for links to NADP. The nitrogen and sulfur characteristics (kg N/ha/yr) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
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                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
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                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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                {
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            "theme": [
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        },
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                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
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        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Land Cover Database - Impervious Surfaces",
            "description": "This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Landsat satellite data. This dataset will include additional years as they become available. ",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "43F2C9A2-4F0F-4603-928B-5DF138EDDB96",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "National Land Cover Database - Impervious Surfaces",
                    "description": "This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Landsat satellite data. This dataset will include additional years as they become available. ",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=43F2C9A2-4F0F-4603-928B-5DF138EDDB96"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Nonnative LANDFIRE Vegetation",
            "description": "This dataset represents the average height of the dominant vegetation for a 30-m grid cell within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on field reference data and Landsat, elevation, and ancillary data. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The Existing Vegetation Type (EVT) layer represents the species composition currently present at a given site. Vegetation map units are primarily derived from NatureServe's Ecological Systems classification, which is a nationally consistent set of mid-scale ecological units. Additional units are derived from NLCD, National Vegetation Classification Standard (NVCS) Alliances, and LANDFIRE specific types. - Reclassified into introduced managed vegetation cover - IntrodManagVeg class - reclass from EVT - groups (EVT_GP) = (701,702,703,704,705,706,707,708,709,711,731) Canopy height is generated separately for tree, shrub and herbaceous lifeforms using training data and other layers. EVH is determined by the average height weighted by species cover and based on the existing vegetation type (EVT) lifeform. Decision tree models using field reference data and Landsat, elevation, and ancillary data are developed separately for each lifeform. Decision tree relationships are used to generate lifeform specific height class layers, which are merged into a single composite EVH layer. The vegetation characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "B995906F-9B18-4B1F-B0D1-D13122A80C85",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Nonnative LANDFIRE Vegetation",
                    "description": "This dataset represents the average height of the dominant vegetation for a 30-m grid cell within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on field reference data and Landsat, elevation, and ancillary data. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The Existing Vegetation Type (EVT) layer represents the species composition currently present at a given site. Vegetation map units are primarily derived from NatureServe's Ecological Systems classification, which is a nationally consistent set of mid-scale ecological units. Additional units are derived from NLCD, National Vegetation Classification Standard (NVCS) Alliances, and LANDFIRE specific types. - Reclassified into introduced managed vegetation cover - IntrodManagVeg class - reclass from EVT - groups (EVT_GP) = (701,702,703,704,705,706,707,708,709,711,731) Canopy height is generated separately for tree, shrub and herbaceous lifeforms using training data and other layers. EVH is determined by the average height weighted by species cover and based on the existing vegetation type (EVT) lifeform. Decision tree models using field reference data and Landsat, elevation, and ancillary data are developed separately for each lifeform. Decision tree relationships are used to generate lifeform specific height class layers, which are merged into a single composite EVH layer. The vegetation characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=B995906F-9B18-4B1F-B0D1-D13122A80C85"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Pesticide",
            "description": "This dataset represents the pesticide use within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "7D1FE157-43CD-4AA6-A1D3-37B4FC41065A",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Pesticide",
                    "description": "This dataset represents the pesticide use within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=7D1FE157-43CD-4AA6-A1D3-37B4FC41065A"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: PRISM Normals Data",
            "description": "This dataset represents climate observations within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the PRISM Climate Group. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. These data are summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
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                "alabama",
                "arizona",
                "arkansas",
                "california",
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                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "C1AED92E-568B-47C6-9B51-272462155A76",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "PRISM Normals Data",
                    "description": "This dataset represents climate observations within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the PRISM Climate Group. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. These data are summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=C1AED92E-568B-47C6-9B51-272462155A76"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Road and Stream Intersections",
            "description": "This dataset represents the density of road and stream crossings within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed by James Falcone of the USGS. US Census TIGER 2000 line files of roads and the NHDPlusV1 line files of all streams were converted to 30-meter grids where the presence of a street or stream was a 1 and everything else a 0.  These were intersected and anything that was a 1 in both grids is the result. The density of road and stream crossings (crossings / square kilometer) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
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                "environment",
                "monitoring",
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                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
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                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "BFB01111-7676-4E96-B9BD-7DC4E5A3168B",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Road and Stream Intersections",
                    "description": "This dataset represents the density of road and stream crossings within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed by James Falcone of the USGS. US Census TIGER 2000 line files of roads and the NHDPlusV1 line files of all streams were converted to 30-meter grids where the presence of a street or stream was a 1 and everything else a 0.  These were intersected and anything that was a 1 in both grids is the result. The density of road and stream crossings (crossings / square kilometer) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=BFB01111-7676-4E96-B9BD-7DC4E5A3168B"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Runoff",
            "description": "This dataset represents the estimated surface water runoff within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed with a water-balance model developed by Dave Wolock of the USGS and is detailed further in the paper \"Independent effects of temperature and precipitation on modeled runoff in the conterminous United States\". McCabe and Wolock[2011] Runoff is defined as the flow per unit area delivered to streams and rivers in units of millimeters per month.   The runoff estimates were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
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                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
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                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
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            "accessLevel": "public",
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            "programCode": [
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            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Runoff",
                    "description": "This dataset represents the estimated surface water runoff within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed with a water-balance model developed by Dave Wolock of the USGS and is detailed further in the paper \"Independent effects of temperature and precipitation on modeled runoff in the conterminous United States\". McCabe and Wolock[2011] Runoff is defined as the flow per unit area delivered to streams and rivers in units of millimeters per month.   The runoff estimates were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=15669D84-E7E5-4E53-9FC3-0E022B6F40C0"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: State Soil Geographic Database (STATSGO) (KKACT)",
            "description": "This dataset represents the soil characteristics within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the STATSGO landscape rasters. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the STATSGO landscape rasters for the conterminous USA. Individual rasters (Landscape Layers) of depth to bedrock (rckdep), organic material (om), percent clay (clay), percent sand (sand), permeability (perm), soil erodibility (KFFACT/KFACT), and water table depth (wtdep) were used to calculate soil characteristics for each NHDPlusV2 catchment.  The soil characteristics were summarized to produce local catchment-level and watershed-level metrics as a continuous data type. The STATSGO data are distributed in two sets, STATSGO_Set1 and STATSGO_Set2, based on common NoData locations in each set of soil GIS layers.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
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                "alabama",
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                "kansas",
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                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
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            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
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                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
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            },
            "identifier": "AA3ADCFD-0758-47FC-A069-31E95A116A3D",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "State Soil Geographic Database (STATSGO) (KFFACT)",
                    "description": "This dataset represents the soil characteristics within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the STATSGO landscape rasters. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the STATSGO landscape rasters for the conterminous USA. Individual rasters (Landscape Layers) of depth to bedrock (rckdep), organic material (om), percent clay (clay), percent sand (sand), permeability (perm), soil erodibility (KFFACT/KFACT), and water table depth (wtdep) were used to calculate soil characteristics for each NHDPlusV2 catchment.  The soil characteristics were summarized to produce local catchment-level and watershed-level metrics as a continuous data type. The STATSGO data are distributed in two sets, STATSGO_Set1 and STATSGO_Set2, based on common NoData locations in each set of soil GIS layers.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=AA3ADCFD-0758-47FC-A069-31E95A116A3D"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Surficial Lithology in Watershed",
            "description": "This dataset represents the density of 18 USGS lithology classes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from the USGS raster map of 18 lithology classes (categorical data type) for the conterminous USA. The map was produced based on texture, internal structure, thickness, and environment of deposition or formation of materials. These 18 lithology classes were summarized by local catchment and by watershed to produce 18 local catchment-level and watershed-level metrics as a categorical data type.",
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                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
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                "alabama",
                "arizona",
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                "florida",
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                "illinois",
                "indiana",
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                "maryland",
                "massachusetts",
                "michigan",
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                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "new york",
                "north carolina",
                "north dakota",
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                "oklahoma",
                "oregon",
                "pennsylvania",
                "rhode island",
                "south carolina",
                "south dakota",
                "tennessee",
                "texas",
                "utah",
                "vermont",
                "virginia",
                "washington",
                "west virginia",
                "wisconsin",
                "wyoming"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
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                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "70CB7CB9-A915-48F6-A3DE-BE62446A454E",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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                {
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                    "format": "Comma-Separated Values (.csv)",
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                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Wildfire Burn Severity Class 1984-2018 (MTBS)",
                    "description": "This dataset represents percent area burned in each burn severity class for wildfires within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies for each year for 1984-2018.The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico from the beginning of the Landsat Thematic Mapper archive to the present.  See: https://catalog.data.gov/dataset/monitoring-trends-in-burn-severity-burned-area-boundaries-feature-layer-27201 and https://www.mtbs.gov/product-descriptions",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=7ffbc84f-8903-4aca-a9d4-f04e2e801595"
            ],
            "theme": [
                "environment"
            ]
        },
        {
            "@type": "dcat:Dataset",
            "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Wildland Fire Perimeters By Year 2000 - 2010",
            "description": "This dataset represents the historical fire perimeters within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the GeoMAC (Geospatial Multi-Agency Coordination) mapping tool. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. Fire perimeters contain data as they are submitted by field offices to GeoMAC (Geospatial Multi-Agency Coordination) in a polygon format. Fire perimeter data is based on input from incident intelligence sources, GPS data, infrared (IR) imagery from fixed wing and satellite platforms. Polygons are selected by year and then converted into a binary raster format where values of 1 represent fire perimeters of the given year and 0 describes the remaining areas across the CONUS, leaving No Data to be anything outside the CONUS border. The wildland fire characteristics (% forest loss to fire) were summarized by year to produce local catchment-level and watershed-level metrics as a continuous data type.",
            "keyword": [
                "inlandwaters",
                "ecosystem",
                "environment",
                "monitoring",
                "natural resources",
                "surface water",
                "modeling",
                "united states of america",
                "united states",
                "usa",
                "alabama",
                "arizona",
                "arkansas",
                "california",
                "colorado",
                "connecticut",
                "delaware",
                "district of columbia",
                "florida",
                "georgia",
                "idaho",
                "illinois",
                "indiana",
                "iowa",
                "kansas",
                "kentucky",
                "louisiana",
                "maine",
                "maryland",
                "massachusetts",
                "michigan",
                "minnesota",
                "mississippi",
                "missouri",
                "montana",
                "nebraska",
                "nevada",
                "new hampshire",
                "new jersey",
                "new mexico",
                "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"
            ],
            "modified": "2023-11-13",
            "publisher": {
                "@type": "org:Organization",
                "name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), "
            },
            "contactPoint": {
                "@type": "vcard:Contact",
                "fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
                "hasEmail": "mailto:weber.marc@epa.gov"
            },
            "identifier": "7988E3BC-FD77-47F6-B098-77A686C55B7F",
            "accessLevel": "public",
            "bureauCode": [
                "020:00"
            ],
            "programCode": [
                "020:072"
            ],
            "license": "https://edg.epa.gov/EPA_Data_License.html",
            "rights": "public (Data asset is or could be made publicly available to all without restrictions)",
            "spatial": "-125.0,24.5,-66.5,49.5",
            "temporal": "2015/2030",
            "distribution": [
                {
                    "@type": "dcat:Distribution",
                    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
                    "title": "LakeCat Dataset",
                    "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms \u2018catchment\u2019 and \u2018watershed\u2019 as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
                    "format": "API",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                },
                {
                    "@type": "dcat:Distribution",
                    "downloadURL": "https://www.epa.gov/node/276204",
                    "format": "Comma-Separated Values (.csv)",
                    "title": "Wildland Fire Perimeters By Year 2000 - 2010",
                    "description": "This dataset represents the historical fire perimeters within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the GeoMAC (Geospatial Multi-Agency Coordination) mapping tool. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. Fire perimeters contain data as they are submitted by field offices to GeoMAC (Geospatial Multi-Agency Coordination) in a polygon format. Fire perimeter data is based on input from incident intelligence sources, GPS data, infrared (IR) imagery from fixed wing and satellite platforms. Polygons are selected by year and then converted into a binary raster format where values of 1 represent fire perimeters of the given year and 0 describes the remaining areas across the CONUS, leaving No Data to be anything outside the CONUS border. The wildland fire characteristics (% forest loss to fire) were summarized by year to produce local catchment-level and watershed-level metrics as a continuous data type.",
                    "mediaType": "text/csv",
                    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
                    "describedByType": "text/html"
                }
            ],
            "accrualPeriodicity": "R/P3Y",
            "dataQuality": true,
            "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "describedByType": "text/html",
            "issued": "2015-04-23",
            "language": [
                "en-US"
            ],
            "landingPage": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
            "references": [
                "https://www.epa.gov/node/276204",
                "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=7988E3BC-FD77-47F6-B098-77A686C55B7F"
            ],
            "theme": [
                "environment"
            ]
        }
    ]
}