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Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554fa61ba49b1af2fad41d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fa61ba49b1af2fad41d","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fa61ba49b1af2fad41d","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5610, 38.9289, -73.9055, 40.9847","theme":["geospatial"],"title":"Marsh migration metrics for New Jersey marsh units in response to 2 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/95d66757-07d0-4093-97d2-ed95eb2a2ee3","harvest_record_raw":"https://catalog.data.gov/harvest_record/95d66757-07d0-4093-97d2-ed95eb2a2ee3/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fa61ba49b1af2fad41d","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fa61ba49b1af2fad41d","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"last_harvested_date":"2026-09-18T00:55:23.313842","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"marsh-migration-metrics-for-new-jersey-marsh-units-in-response-to-2-feet-of-sea-level-rise","spatial_centroid":{"lat":39.75122,"lon":-74.89880000000001},"spatial_shape":{"coordinates":[[[-75.561,38.9289],[-75.561,40.9847],[-73.9055,40.9847],[-73.9055,38.9289],[-75.561,38.9289]]],"type":"Polygon"},"theme":["geospatial"],"title":"Marsh migration metrics for New Jersey marsh units in response to 2 feet of sea-level rise","type":"dataset"},{"_score":7.488782,"_sort":[1789691913985,7.488782,0,"f23186e6-2759-43cb-b5fb-b2fbc4a05f12"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kate Ackerman","hasEmail":"mailto:kackerman@usgs.gov"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554e8b1ba49b1af2fad413.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e8b1ba49b1af2fad413","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e8b1ba49b1af2fad413","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5641, 38.9307, -73.9057, 40.9831","theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 4 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/24d4e3af-a874-4611-9385-b631a18132f0","harvest_record_raw":"https://catalog.data.gov/harvest_record/24d4e3af-a874-4611-9385-b631a18132f0/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e8b1ba49b1af2fad413","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e8b1ba49b1af2fad413","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"last_harvested_date":"2026-09-18T00:38:33.985819","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"potential-marsh-migration-area-in-new-jersey-in-response-to-4-feet-of-sea-level-rise","spatial_centroid":{"lat":39.75166,"lon":-74.90074},"spatial_shape":{"coordinates":[[[-75.5641,38.9307],[-75.5641,40.9831],[-73.9057,40.9831],[-73.9057,38.9307],[-75.5641,38.9307]]],"type":"Polygon"},"theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 4 feet of sea-level rise","type":"dataset"},{"_score":9.431113,"_sort":[1789691579002,9.431113,0,"1b849bed-f83a-40a7-9bb6-905c306ba31d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Anthony Martinez","hasEmail":"mailto:ajmartinez@usgs.gov"},"description":"This data release contains results from a simple monthly water budget that includes water supply and consumptive use for thermoelectric, irrigation, and public supply for 12-digit Hydrologic Unit Codes (HUC12) across the conterminous United States for water years 2000-2020. These results were produced using an analysis pipeline that ingests water supply, consumptive use, and routing information and accumulates and routes the water balance through the HUC12 network (Martinez and others, 2064; https://doi.org/10.5066/P13TPXFX). Water budget results also include an assessment of supply and use imbalances within the context of historical climatic conditions to calculate a surface water supply and use index and when considering a range of environmental flow allocation methods.\nThis data release contains six files:\n- water_budget_sui_ensemble.csv.gz and water_budget_sui_ensemble.parquet: Water budget results with NHM and WRF-Hydro supply averaged (ensembled) for each HUC12 and month.\n- water_budget_sui_nhm.csv.gz and water_budget_sui_nhm.parquet: Water budget results using only the NHM for water supply estimates.\n- water_budget_sui_wrfhydro.csv.gz and water_budget_sui_wrfhydro.parquet: Water budget results using only WRF-Hydro for water supply estimates.\nThe CSV and parquet file pairs contain identical data in different formats (.csv.gz for broad accessibility; .parquet for optimized handling of large datasets).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P142J9XG","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.685ecfaad4be025490e9e729.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_685ecfaad4be025490e9e729","keyword":["USGS:685ecfaad4be025490e9e729","environment","geoscientificInformation","hydrographic datasets","hydrology","inlandWaters","surface water (non-marine)","water budget","water resources"],"modified":"2026-09-14T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-124.68134, 25.12993, -67.00742, 49.38323","theme":["geospatial"],"title":"Water budget results for a water availability assessment across the conterminous United States for water years 2000-2020"},"description":"This data release contains results from a simple monthly water budget that includes water supply and consumptive use for thermoelectric, irrigation, and public supply for 12-digit Hydrologic Unit Codes (HUC12) across the conterminous United States for water years 2000-2020. These results were produced using an analysis pipeline that ingests water supply, consumptive use, and routing information and accumulates and routes the water balance through the HUC12 network (Martinez and others, 2064; https://doi.org/10.5066/P13TPXFX). Water budget results also include an assessment of supply and use imbalances within the context of historical climatic conditions to calculate a surface water supply and use index and when considering a range of environmental flow allocation methods.\nThis data release contains six files:\n- water_budget_sui_ensemble.csv.gz and water_budget_sui_ensemble.parquet: Water budget results with NHM and WRF-Hydro supply averaged (ensembled) for each HUC12 and month.\n- water_budget_sui_nhm.csv.gz and water_budget_sui_nhm.parquet: Water budget results using only the NHM for water supply estimates.\n- water_budget_sui_wrfhydro.csv.gz and water_budget_sui_wrfhydro.parquet: Water budget results using only WRF-Hydro for water supply estimates.\nThe CSV and parquet file pairs contain identical data in different formats (.csv.gz for broad accessibility; .parquet for optimized handling of large datasets).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e921bb51-9104-4ee6-adef-1b004efc5d5d","harvest_record_raw":"https://catalog.data.gov/harvest_record/e921bb51-9104-4ee6-adef-1b004efc5d5d/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_685ecfaad4be025490e9e729","keyword":["USGS:685ecfaad4be025490e9e729","environment","geoscientificInformation","hydrographic datasets","hydrology","inlandWaters","surface water (non-marine)","water budget","water resources"],"last_harvested_date":"2026-09-18T00:32:59.002240","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"water-budget-results-for-a-water-availability-assessment-across-the-conterminous-2000-2020","spatial_centroid":{"lat":34.83125,"lon":-101.611772},"spatial_shape":{"coordinates":[[[-124.68134,25.12993],[-124.68134,49.38323],[-67.00742,49.38323],[-67.00742,25.12993],[-124.68134,25.12993]]],"type":"Polygon"},"theme":["geospatial"],"title":"Water budget results for a water availability assessment across the conterminous United States for water years 2000-2020","type":"dataset"},{"_score":7.488782,"_sort":[1789691473235,7.488782,0,"aae87ab1-7747-48fc-b10d-90df7d063dae"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kate Ackerman","hasEmail":"mailto:kackerman@usgs.gov"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554fcc1ba49b1af2fad421.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fcc1ba49b1af2fad421","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fcc1ba49b1af2fad421","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5641, 38.9307, -73.9057, 40.9831","theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 2 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. 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MRB7, covering the Pacific Northwest River basins, \ncontains NHDPlus Production Unit 17.  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This work is part of\nthe U.S. Geological Survey's (USGS) Chesapeake Bay initative\nto develop an understanding and provide scientific\ninformation for the restoration of the Chesapeake Bay and\nits watershed (Phillips and Caughron, 1997).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P98WXDST","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ef4cf6eb-b740-4a5d-bef4-867a875ff1d1.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ef4cf6eb-b740-4a5d-bef4-867a875ff1d1","keyword":["(keyword) Chesapeake Bay","(keyword) Geology","(keyword) HGMR","(keyword) Hydrogeomorphic Region","(keyword) Lithology","(keyword) Mid-Atlantic","(keyword) Physiographic","(keyword) Physiography","(keyword) Province","(keyword) Rock","(keyword) Rock Type","USGS:ef4cf6eb-b740-4a5d-bef4-867a875ff1d1","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-80.56273597, 36.5134679, -73.87702521, 43.55644159","theme":["geospatial"],"title":"Hydrogeomorphic Regions in the Chesapeake Bay Watershed."},"description":"Generalized lithology (rock type) and physiography based on\ngeologic formations were used to characterize hydrgeomorphic\nregions (HGMR) within the Chesapeake Bay watershed. 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This work is part of\nthe U.S. Geological Survey's (USGS) Chesapeake Bay initative\nto develop an understanding and provide scientific\ninformation for the restoration of the Chesapeake Bay and\nits watershed (Phillips and Caughron, 1997).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b60b87ce-4564-4829-824f-968fbe22f941","harvest_record_raw":"https://catalog.data.gov/harvest_record/b60b87ce-4564-4829-824f-968fbe22f941/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ef4cf6eb-b740-4a5d-bef4-867a875ff1d1","keyword":["(keyword) Chesapeake Bay","(keyword) Geology","(keyword) HGMR","(keyword) Hydrogeomorphic Region","(keyword) Lithology","(keyword) Mid-Atlantic","(keyword) Physiographic","(keyword) Physiography","(keyword) Province","(keyword) Rock","(keyword) Rock Type","USGS:ef4cf6eb-b740-4a5d-bef4-867a875ff1d1","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:50:07.696670","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":5,"publisher":"U.S. Geological Survey","slug":"hydrogeomorphic-regions-in-the-chesapeake-bay-watershed","spatial_centroid":{"lat":39.330657376,"lon":-77.88845166600001},"spatial_shape":{"coordinates":[[[-80.56273597,36.5134679],[-80.56273597,43.55644159],[-73.87702521,43.55644159],[-73.87702521,36.5134679],[-80.56273597,36.5134679]]],"type":"Polygon"},"theme":["geospatial"],"title":"Hydrogeomorphic Regions in the Chesapeake Bay Watershed.","type":"dataset"},{"_score":7.541039,"_sort":[1789606206663,7.541039,2,"165fafa5-1ad3-4d8b-89bd-eafd384b929e"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Paul Heisig","hasEmail":"mailto:pmheisig@usgs.gov"},"description":"The hydrogeology of the valley-fill aquifer system along a 32-mile reach of the Susquehanna River \nvalley and adjacent areas was evaluated in eastern Broome and southeastern Chenango Counties, \nNew York. The surficial geology, inferred ice-marginal positions, and distribution of stratified-drift \naquifers were mapped from existing data. Ice-marginal positions, which represent pauses in the \nretreat of glacial ice from the region, favored the accumulation of coarse-grained deposits whereas \nmore steady or rapid ice retreat between these positions favored deposition of fine-grained lacustrine \ndeposits with limited coarse-grained deposits at depth. Unconfined aquifers with thick saturated \ncoarse-grained deposits are the most favorable settings for water-resource development, and three \nseveral-mile-long sections of valley were identified (mostly in Broome County) as potentially favorable: \n(1) the southernmost valley section, which extends from the New YorkPennsylvania border to about \n1 mile north of South Windsor, (2) the valley section that rounds the west side of the umlaufberg \n(an isolated bedrock hill within a valley) north of Windsor, and (3) the eastwest valley section at the \nBroome County Chenango County border from Nineveh to East of Bettsburg (including the lower reach \nof the Cornell Brook valley). Fine-grained lacustrine deposits form extensive confining units between \nthe unconfined areas, and the water-resource potential of confined aquifers is largely untested.Recharge,\nor replenishment, of these aquifers is dependent not only on infiltration of precipitation directly on \nunconfined aquifers, but perhaps more so from precipitation that falls in adjacent upland areas. \nSurface runoff and shallow groundwater from the valley walls flow downslope and recharge valley \naquifers. Tributary streams that drain upland areas lose flow as they enter main valleys on permeable \nalluvial fans. This infiltrating water also recharges valley aquifers.Current (2012) use of water resources \nin the area is primarily through domestic wells, most of which are completedin fractured bedrock in \nupland areas. A few villages in the Susquehanna River valley have supply wells that draw water from \nbeneath alluvial fans and near the Susquehanna River, which is a large potential source of water from \ninduced infiltration.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9MDTWPJ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.3eb24ebe-0867-41ec-bd77-60140f131a9b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_3eb24ebe-0867-41ec-bd77-60140f131a9b","keyword":["Broome County, New York","Chenango County, New York","Inlandwaters","Susquehanna River valley","USGS SIR2012-5282_surficial_geology","USGS:3eb24ebe-0867-41ec-bd77-60140f131a9b","aquifer system","environment","geoscientificInformation","hydrogeology","inferred ice-marginal positions","stratified glacial deposits","stratified-drift aquifers","surficial geology"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.844489, 41.950064, -75.324973, 42.411385","theme":["geospatial"],"title":"SIR2012-5282 Surficial Geology: Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York"},"description":"The hydrogeology of the valley-fill aquifer system along a 32-mile reach of the Susquehanna River \nvalley and adjacent areas was evaluated in eastern Broome and southeastern Chenango Counties, \nNew York. The surficial geology, inferred ice-marginal positions, and distribution of stratified-drift \naquifers were mapped from existing data. Ice-marginal positions, which represent pauses in the \nretreat of glacial ice from the region, favored the accumulation of coarse-grained deposits whereas \nmore steady or rapid ice retreat between these positions favored deposition of fine-grained lacustrine \ndeposits with limited coarse-grained deposits at depth. Unconfined aquifers with thick saturated \ncoarse-grained deposits are the most favorable settings for water-resource development, and three \nseveral-mile-long sections of valley were identified (mostly in Broome County) as potentially favorable: \n(1) the southernmost valley section, which extends from the New YorkPennsylvania border to about \n1 mile north of South Windsor, (2) the valley section that rounds the west side of the umlaufberg \n(an isolated bedrock hill within a valley) north of Windsor, and (3) the eastwest valley section at the \nBroome County Chenango County border from Nineveh to East of Bettsburg (including the lower reach \nof the Cornell Brook valley). Fine-grained lacustrine deposits form extensive confining units between \nthe unconfined areas, and the water-resource potential of confined aquifers is largely untested.Recharge,\nor replenishment, of these aquifers is dependent not only on infiltration of precipitation directly on \nunconfined aquifers, but perhaps more so from precipitation that falls in adjacent upland areas. \nSurface runoff and shallow groundwater from the valley walls flow downslope and recharge valley \naquifers. Tributary streams that drain upland areas lose flow as they enter main valleys on permeable \nalluvial fans. This infiltrating water also recharges valley aquifers.Current (2012) use of water resources \nin the area is primarily through domestic wells, most of which are completedin fractured bedrock in \nupland areas. 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conservation\npractice, in square kilometers, in the conterminous United\nStates.\nThe data set was used as an input data layer for a national\nmodel to predict nitrate concentration in shallow ground water.\nNolan and Hitt (2006) developed two national models to predict\ncontamination of ground water by nonpoint sources of\nnitrate. The nonlinear approach to national-scale Ground-WAter\nVulnerability Assessment (GWAVA) uses components representing\nnitrogen (N) sources, transport, and attenuation.\nOne model (GWAVA-S) predicts nitrate contamination of shallow\n(typically less than 5 meters deep), recently recharged ground\nwater, which may or may not be used for drinking.  The other\n(GWAVA-DW) predicts ambient nitrate concentration in deeper\nsupplies used for drinking.\nThis data set is one of 17 data sets (1 output data set and 16\ninput data sets) associated with the GWAVA-S model. Full details\nof the model development are in Nolan and Hitt (2006).\nFor inputs to the model, spatial attributes representing 16\nnitrogen loading and transport and attenuation factors were\ncompiled as raster data sets (1-km by 1-km grid cell size) for\nthe conterminous United States (see table 1).\n>Table 1.-- Parameters of nonlinear regression model for nitrate in shallow\n>           ground water (GWAVA-S) and corresponding input spatial data sets.\n>           [kg, kilograms; km2, square kilometers.]\n>\n>Nitrogen Source Factors                  Data Set Name\n>   1 farm fertilizer (kg/hectare)        gwava-s_ffer\n>   2 confined manure (kg/hectare)        gwava-s_conf\n>   3 orchards/vineyards (percent)        gwava-s_orvi\n>   4 population density  (people/km2)    gwava-s_popd\n>   5 cropland/pasture/fallow (percent)   gwava-s_crpa\n>\n>Transport to Aquifer Factors\n>   6 water input (km2/cm)                gwava-s_wtin\n>   7 carbonate rocks (yes/no)            gwava-s_crox\n>   8 basalt and volcanic rocks (yes/no)  gwava-s_vrox\n>   9 drainage ditch (km2)                gwava-s_ddit\n>  10 slope (percent x 1000)              gwava-s_slop\n>  11 glacial till (yes/no)               gwava-s_gtil\n>  12 clay sediment (percent x 1000)      gwava-s_clay\n>\n>Attenuation Factors\n>  13 fresh surface water withdrawal      gwava-s_swus\n>     for irrigation (megaliters/day)\n>  14 irrigation tailwater recovery (km2) gwava-s_twre\n>  15 histosol soil type (percent)        gwava-s_hist\n>  16 wetlands (percent)                  gwava-s_wetl\n\"Farm fertilizer\" is the average annual nitrogen input from\ncommercial fertilizer applied to agricultural lands, 1992-2001, in\nkilograms per hectare.\n\"Confined manure\" is the average annual nitrogen input from\nconfined animal manure, 1992 and 1997, in kilograms per\nhectare.\n\"Orchards/vineyards\" is the percent of orchards/vineyards land\ncover classification.\n\"Population density\" is 1990 block group population density, in\npeople per square kilometer.\n\"Cropland/pasture/fallow\" is the percent of\ncropland/pasture/fallow land cover classifications.\n\"Water input\" is the ratio of the total area of irrigated land\nto precipitation, in square kilometers per centimeter.\n\"Carbonate rocks\" is the presence or absence of Valley and Ridge\ncarbonate rocks.\n\"Basalt and volcanic rocks\" is the presence or absence of basalt\nand volcanic rocks.\n\"Drainage ditch\" is the area of National Resources Inventory surface\ndrainage, field ditch conservation practice, in square kilometers.\n\"Slope\" is the soil surface slope, in percent times 1000.\n\"Glacial till\" is the presence or absence of poorly sorted\nglacial till east of the Rocky Mountains.\n\"Clay sediment\" is the amount of clay sediment in the soil, in\npercent times 1000.\n\"Fresh surface water withdrawal for irrigation\" is the amount of\nfresh surface water withdrawal for irrigation, in megaliters per day.\n\"Irrigation tailwater recovery\" is the area of National\nResources Inventory irrigation system, tailwater recovery\nconservation practice, in square kilometers.\n\"Histosol soil type\" is the amount of histosols soil taxonomic\norder, in percent.\n\"Wetlands\" is the percent of woody wetlands and emergent\nherbaceous wetlands land cover classifications.\nReference cited:\nNolan, B.T. and Hitt, K.J., 2006, Vulnerability of shallow\nground water and drinking-water wells to nitrate in the United\nStates: Environmental Science and Technology, vol. 40, no. 24,\npages 7834-7840.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P96A3C11","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original 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Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for irrigation tailwater recovery (gwava-s_twre)"},"description":"This data set represents the area of National Resources\nInventory irrigation system, tailwater recovery conservation\npractice, in square kilometers, in the conterminous United\nStates.\nThe data set was used as an input data layer for a national\nmodel to predict nitrate concentration in shallow ground water.\nNolan and Hitt (2006) developed two national models to predict\ncontamination of ground water by nonpoint sources of\nnitrate. The nonlinear approach to national-scale Ground-WAter\nVulnerability Assessment (GWAVA) uses components representing\nnitrogen (N) sources, transport, and attenuation.\nOne model (GWAVA-S) predicts nitrate contamination of shallow\n(typically less than 5 meters deep), recently recharged ground\nwater, which may or may not be used for drinking.  The other\n(GWAVA-DW) predicts ambient nitrate concentration in deeper\nsupplies used for drinking.\nThis data set is one of 17 data sets (1 output data set and 16\ninput data sets) associated with the GWAVA-S model. Full details\nof the model development are in Nolan and Hitt (2006).\nFor inputs to the model, spatial attributes representing 16\nnitrogen loading and transport and attenuation factors were\ncompiled as raster data sets (1-km by 1-km grid cell size) for\nthe conterminous United States (see table 1).\n>Table 1.-- Parameters of nonlinear regression model for nitrate in shallow\n>           ground water (GWAVA-S) and corresponding input spatial data sets.\n>           [kg, kilograms; km2, square kilometers.]\n>\n>Nitrogen Source Factors                  Data Set Name\n>   1 farm fertilizer (kg/hectare)        gwava-s_ffer\n>   2 confined manure (kg/hectare)        gwava-s_conf\n>   3 orchards/vineyards (percent)        gwava-s_orvi\n>   4 population density  (people/km2)    gwava-s_popd\n>   5 cropland/pasture/fallow (percent)   gwava-s_crpa\n>\n>Transport to Aquifer Factors\n>   6 water input (km2/cm)                gwava-s_wtin\n>   7 carbonate rocks (yes/no)            gwava-s_crox\n>   8 basalt and volcanic rocks (yes/no)  gwava-s_vrox\n>   9 drainage ditch (km2)                gwava-s_ddit\n>  10 slope (percent x 1000)              gwava-s_slop\n>  11 glacial till (yes/no)               gwava-s_gtil\n>  12 clay sediment (percent x 1000)      gwava-s_clay\n>\n>Attenuation Factors\n>  13 fresh surface water withdrawal      gwava-s_swus\n>     for irrigation (megaliters/day)\n>  14 irrigation tailwater recovery (km2) gwava-s_twre\n>  15 histosol soil type (percent)        gwava-s_hist\n>  16 wetlands (percent)                  gwava-s_wetl\n\"Farm fertilizer\" is the average annual nitrogen input from\ncommercial fertilizer applied to agricultural lands, 1992-2001, in\nkilograms per hectare.\n\"Confined manure\" is the average annual nitrogen input from\nconfined animal manure, 1992 and 1997, in kilograms per\nhectare.\n\"Orchards/vineyards\" is the percent of orchards/vineyards land\ncover classification.\n\"Population density\" is 1990 block group population density, in\npeople per square kilometer.\n\"Cropland/pasture/fallow\" is the percent of\ncropland/pasture/fallow land cover classifications.\n\"Water input\" is the ratio of the total area of irrigated land\nto precipitation, in square kilometers per centimeter.\n\"Carbonate rocks\" is the presence or absence of Valley and Ridge\ncarbonate rocks.\n\"Basalt and volcanic rocks\" is the presence or absence of basalt\nand volcanic rocks.\n\"Drainage ditch\" is the area of National Resources Inventory surface\ndrainage, field ditch conservation practice, in square kilometers.\n\"Slope\" is the soil surface slope, in percent times 1000.\n\"Glacial till\" is the presence or absence of poorly sorted\nglacial till east of the Rocky Mountains.\n\"Clay sediment\" is the amount of clay sediment in the soil, in\npercent times 1000.\n\"Fresh surface water withdrawal for irrigation\" is the amount of\nfresh surface water withdrawal for irrigation, in megaliters per day.\n\"Irrigation tailwater recovery\" is the area of National\nResources Inventory irrigation system, tailwater recovery\nconservation practice, in square kilometers.\n\"Histosol soil type\" is the amount of histosols soil taxonomic\norder, in percent.\n\"Wetlands\" is the percent of woody wetlands and emergent\nherbaceous wetlands land cover classifications.\nReference cited:\nNolan, B.T. and Hitt, K.J., 2006, Vulnerability of shallow\nground water and drinking-water wells to nitrate in the United\nStates: Environmental Science and Technology, vol. 40, no. 24,\npages 7834-7840.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/dac75ff8-487e-4df6-babc-1512bc82fe21","harvest_record_raw":"https://catalog.data.gov/harvest_record/dac75ff8-487e-4df6-babc-1512bc82fe21/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6e8a4874-2681-4451-bc06-bf984baa602f","keyword":["Ground water","Ground water 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conterminous United States for the 2001 time period. \nThe data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information \nSystem (see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3299?name=nlcd01-partitions.jpg).\n\t\t\nThe National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution \nLand Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), \nconsisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the \nU.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service \n(USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management \n(BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to \ngenerate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United \nStates at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, \nrefer to Homer and others (2004), (see: http://www.mrlc.gov/mrlc2k.asp).\n\t\t\nThe NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3299?name=browsenlcd01-mappingzones.jpg), were delineated within the conterminous United States \nbased on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat \nmosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones \ncan be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 \nor mrlc@usgs.gov.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9WZ8CXH","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.77113ab7-dba8-445d-bb7a-c3a7d273b652.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_77113ab7-dba8-445d-bb7a-c3a7d273b652","keyword":["NAWQA","NLCD","National Land Cover Data Set","National Water-Quality Assessment","USGS:77113ab7-dba8-445d-bb7a-c3a7d273b652","environment","geoscientificInformation","inland waters","inlandWaters","land cover","land use"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-123.305923, 22.736542, -97.818040, 39.874012","theme":["geospatial"],"title":"National Land Cover Database 2001 (NLCD01) Tile 3, Southwest United States: NLCD01_3"},"description":"This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. \nThe data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information \nSystem (see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3299?name=nlcd01-partitions.jpg).\n\t\t\nThe National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution \nLand Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), \nconsisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the \nU.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service \n(USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management \n(BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to \ngenerate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United \nStates at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, \nrefer to Homer and others (2004), (see: http://www.mrlc.gov/mrlc2k.asp).\n\t\t\nThe NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3299?name=browsenlcd01-mappingzones.jpg), were delineated within the conterminous United States \nbased on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat \nmosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones \ncan be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 \nor mrlc@usgs.gov.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9fc32293-bafd-4c75-b02f-73ecd1255a83","harvest_record_raw":"https://catalog.data.gov/harvest_record/9fc32293-bafd-4c75-b02f-73ecd1255a83/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_77113ab7-dba8-445d-bb7a-c3a7d273b652","keyword":["NAWQA","NLCD","National Land Cover Data Set","National Water-Quality Assessment","USGS:77113ab7-dba8-445d-bb7a-c3a7d273b652","environment","geoscientificInformation","inland waters","inlandWaters","land cover","land use"],"last_harvested_date":"2026-09-17T00:49:44.588184","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"national-land-cover-database-2001-nlcd01-tile-3-southwest-united-states-nlcd01_3","spatial_centroid":{"lat":29.59153,"lon":-113.1107698},"spatial_shape":{"coordinates":[[[-123.305923,22.736542],[-123.305923,39.874012],[-97.81804,39.874012],[-97.81804,22.736542],[-123.305923,22.736542]]],"type":"Polygon"},"theme":["geospatial"],"title":"National Land Cover Database 2001 (NLCD01) Tile 3, Southwest United States: NLCD01_3","type":"dataset"},{"_score":5.738823,"_sort":[1789606148390,5.738823,2,"730434aa-96a8-4726-ac5c-39eec73557e5"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This data set represents the estimated area of land use and land cover from the National Land Cover Dataset 2001 (LaMotte, 2008), compiled for every catchment of NHDPlus for the conterminous United States. The source data set represents land use and land cover for the conterminous United States for 2001. The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS).\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, contains NHDPlus Production Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9RN97YO","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.8524151b-ddd6-4d6c-a1d4-4240f0a3590b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_8524151b-ddd6-4d6c-a1d4-4240f0a3590b","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","NLCD 2001 Land use and land cover","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:8524151b-ddd6-4d6c-a1d4-4240f0a3590b","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: NLCD 2001 Land Use and Land Cover"},"description":"This data set represents the estimated area of land use and land cover from the National Land Cover Dataset 2001 (LaMotte, 2008), compiled for every catchment of NHDPlus for the conterminous United States. The source data set represents land use and land cover for the conterminous United States for 2001. The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS).\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, contains NHDPlus Production Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b03b41f9-784a-4cf2-b2c6-67aefcb8ba4d","harvest_record_raw":"https://catalog.data.gov/harvest_record/b03b41f9-784a-4cf2-b2c6-67aefcb8ba4d/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_8524151b-ddd6-4d6c-a1d4-4240f0a3590b","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","NLCD 2001 Land use and land cover","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:8524151b-ddd6-4d6c-a1d4-4240f0a3590b","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:49:08.390560","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-nlcd-2001-8facd","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: NLCD 2001 Land Use and Land Cover","type":"dataset"},{"_score":8.132145,"_sort":[1789606137958,8.132145,2,"f2faa4de-e951-4ced-9980-5b7c97cc87ed"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Oklahoma-Texas Water Science Center","hasEmail":"mailto:gs-w-txpublic-info@usgs.gov"},"description":"A previously developed groundwater flow model (https://doi.org/10.5066/P9051RUT) \nwas slightly modified to estimate the risk-based discrete relation between groundwater \nextraction and surface-water/groundwater exchange.  Previously, the concept of a \n''capture map'' has been put forward as a means to effectively summarize this relation \nfor decision-making consumption.  While capture maps have enjoyed success in the \nenvironmental simulation industry, they are deterministic, ignoring uncertainty in the \nunderlying model. Furthermore, capture maps are not typically calculated in a manner \nthat facilitates analysis of varying combinations of extraction locations and/or reaches.  \nThat is, they are typically constructed with focus on a single reach or group of reaches. \nThe former of these limitations is important for conveying risk to decision makers, while \nthe latter is important for decision-making support related to surface-water management, \nwhere future foci may include reaches that were not the focus of the original capture \nanalysis.  \n\t\t\nHerein, we use a MODFLOW-NWT groundwater/surface-water model of the lower San \nAntonio River, Texas, USA to demonstrate a technique to estimate risk-based and \nspatially discrete streamflow depletion potential. This USGS data release contains \nall of the input and output files for the simulations described in the associated journal \narticle (https://doi.org/10.1111/gwat.13080)","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9AB2MIL","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e","keyword":["FloPy","Goliad County","Groundwater","Groundwater Model","InlandWaters","Karnes County","Lower San Antonio River watershed","MODFLOW-NWT","PEST++","Texas","USGS:c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e","Wilson County","environment","geoscientificInformation","inlandWaters","pyEMU","usgsgroundwatermodel"],"modified":"2021-06-22T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-99.024988, 27.142820, -95.982679, 30.097665 ","theme":["geospatial"],"title":"MODFLOW-NWT model used to demonstrate extending the capture map concept to estimate discrete and risk-based streamflow depletion potential"},"description":"A previously developed groundwater flow model (https://doi.org/10.5066/P9051RUT) \nwas slightly modified to estimate the risk-based discrete relation between groundwater \nextraction and surface-water/groundwater exchange.  Previously, the concept of a \n''capture map'' has been put forward as a means to effectively summarize this relation \nfor decision-making consumption.  While capture maps have enjoyed success in the \nenvironmental simulation industry, they are deterministic, ignoring uncertainty in the \nunderlying model. Furthermore, capture maps are not typically calculated in a manner \nthat facilitates analysis of varying combinations of extraction locations and/or reaches.  \nThat is, they are typically constructed with focus on a single reach or group of reaches. \nThe former of these limitations is important for conveying risk to decision makers, while \nthe latter is important for decision-making support related to surface-water management, \nwhere future foci may include reaches that were not the focus of the original capture \nanalysis.  \n\t\t\nHerein, we use a MODFLOW-NWT groundwater/surface-water model of the lower San \nAntonio River, Texas, USA to demonstrate a technique to estimate risk-based and \nspatially discrete streamflow depletion potential. This USGS data release contains \nall of the input and output files for the simulations described in the associated journal \narticle (https://doi.org/10.1111/gwat.13080)","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5476f88a-e467-4402-b5a6-585d6c04bb66","harvest_record_raw":"https://catalog.data.gov/harvest_record/5476f88a-e467-4402-b5a6-585d6c04bb66/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e","keyword":["FloPy","Goliad County","Groundwater","Groundwater Model","InlandWaters","Karnes County","Lower San Antonio River watershed","MODFLOW-NWT","PEST++","Texas","USGS:c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e","Wilson 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site:\n\t\t\nhttp://water.usgs.gov/public/pubs/FS/FS-027-98/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9NHKGJN","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.942b4532-828a-481b-892e-f6841a371d7e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_942b4532-828a-481b-892e-f6841a371d7e","keyword":["Altitude","Estuary","Hole Depth","Hydrologic Data Site","Lake","Reservoir","Spring","State of Utah","Stream","USGS:942b4532-828a-481b-892e-f6841a371d7e","Utah","Washington","Washington County","Water Use","Well","Well Depth","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. 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The map graphic illustrates an updated version of figure 1 \nfrom Ryker (2001). Cited Reference: Ryker, S.J., Nov. 2001, Mapping arsenic in groundwater-- A real need, \nbut a hard problem: Geotimes Newsmagazine of the Earth Sciences, v. 46 no. 11, p. 34-36 at \nhttp://www.agiweb.org/geotimes/nov01/feature_Asmap.html. An excel tabular data file, a txt file, along with \na GIS shape file of arsenic concentrations (20,043 samples collected by the USGS) for a subset of the sites \nshown on the map. 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EROS is responsible \nfor archive management and distribution of Landsat data products. The \nLandsat-5 satellite is part of an ongoing mission to provide quality remote \nsensing data in support of research and applications activities. The launch \nof Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the \nLandsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) \nsensor. 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Ground water in approximately 400 square miles\nof Quaternary-age alluvial and terrace aquifer is an important\nsource of water for irrigation, industrial, municipal, stock,\nand domestic supplies. The aquifer consists of clay, silt,\nsand, and gravel. Sand-sized sediments dominate the poorly\nsorted, fine to coarse, unconsolidated quartz grains in the\naquifer. The hydraulically connected alluvial and terrace\ndeposits unconformably overlie Permian-age formations. The\naquifer is overlain by a layer of wind-blown sand in parts of\nthe area.\nA uniform recharge rate of 1 inch per year was used as input to\nthe ground-water flow model for the aquifer and is used in this\ndata set.\nThe features representing boundaries along geological contacts\nwere extracted from published digital surficial geology data\nsets based on a scale of 1:250,000. The northwest and southeast\ngeographic limits of the aquifer and were digitized from a\nfolded paper map in a ground-water modeling report, at a scale\nof 1:250,000\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of recharge used in the\nmodel and presented in this data set are not precise, but are\nwithin a reasonable range when compared to independently\ncollected data.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9DSV5W5","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.eb72a029-3a92-49b3-98f2-ddb97f406c31.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_eb72a029-3a92-49b3-98f2-ddb97f406c31","keyword":["North Canadian River alluvial and terrace aquifer","North Canadian alluvial and terrace aquifer","USGS:eb72a029-3a92-49b3-98f2-ddb97f406c31","alluvial and terrace aquifer","alluvial aquifer","alluvium","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater recharge","groundwater vulnerability","inlandWaters","recharge","recharge rates","terrace","terrace aquifer"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-98.5805, 35.4695, -97.6626, 36.1427","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the North Canadian River from Canton Lake to Lake Overholser in central Oklahoma"},"description":"This data set consists of digital polygons of a constant\nrecharge value for the alluvial and terrace deposits along the\nNorth Canadian River from Canton Lake to Lake Overholser in\ncentral Oklahoma. Ground water in approximately 400 square miles\nof Quaternary-age alluvial and terrace aquifer is an important\nsource of water for irrigation, industrial, municipal, stock,\nand domestic supplies. The aquifer consists of clay, silt,\nsand, and gravel. Sand-sized sediments dominate the poorly\nsorted, fine to coarse, unconsolidated quartz grains in the\naquifer. The hydraulically connected alluvial and terrace\ndeposits unconformably overlie Permian-age formations. The\naquifer is overlain by a layer of wind-blown sand in parts of\nthe area.\nA uniform recharge rate of 1 inch per year was used as input to\nthe ground-water flow model for the aquifer and is used in this\ndata set.\nThe features representing boundaries along geological contacts\nwere extracted from published digital surficial geology data\nsets based on a scale of 1:250,000. The northwest and southeast\ngeographic limits of the aquifer and were digitized from a\nfolded paper map in a ground-water modeling report, at a scale\nof 1:250,000\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of recharge used in the\nmodel and presented in this data set are not precise, but are\nwithin a reasonable range when compared to independently\ncollected data.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3e65eb8b-e232-49a9-8290-6b8813234253","harvest_record_raw":"https://catalog.data.gov/harvest_record/3e65eb8b-e232-49a9-8290-6b8813234253/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_eb72a029-3a92-49b3-98f2-ddb97f406c31","keyword":["North Canadian River alluvial and terrace aquifer","North Canadian alluvial and terrace aquifer","USGS:eb72a029-3a92-49b3-98f2-ddb97f406c31","alluvial and terrace aquifer","alluvial aquifer","alluvium","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater recharge","groundwater vulnerability","inlandWaters","recharge","recharge rates","terrace","terrace aquifer"],"last_harvested_date":"2026-09-17T00:44:41.184174","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-alluvial-and-terrace-deposi-73f1f","spatial_centroid":{"lat":35.73878,"lon":-98.21333999999999},"spatial_shape":{"coordinates":[[[-98.5805,35.4695],[-98.5805,36.1427],[-97.6626,36.1427],[-97.6626,35.4695],[-98.5805,35.4695]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the North Canadian River from Canton Lake to Lake Overholser in central Oklahoma","type":"dataset"},{"_score":7.3608537,"_sort":[1789605874113,7.3608537,2,"741ecf8f-2e5c-4cf3-9500-fead9e124c42"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Utah Water Science Center","hasEmail":"mailto:rrowland@usgs.gov"},"description":"This map shows specific water-quality items and hydrologic data site\ninformation which come from QWDATA (Water Quality) and GWSI (Ground\nWater Information System). Both QWDATA and GWSI are subsystems of\nNWIS (National Water Inventory System)of the USGS (United States\nGeologic Survey).\n\t\t\nThis map is for Cache County, Utah.\n\t\t\nThe scope and purpose of NWIS is defined on the web site:\n\t\t\nhttp://water.usgs.gov/public/pubs/FS/FS-027-98/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9CGTM0L","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.c8802747-eb79-44ef-ae84-45462f08ee32.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c8802747-eb79-44ef-ae84-45462f08ee32","keyword":["Alkalinity","Ammonia","Ammonia unionize","Cache","Cache County","Dissolved solids","Flow Rate","Hardness","Hardness total","Nitrogen","Nitrogen nitrate","Quality","Specific conductance","State of Utah","USGS:c8802747-eb79-44ef-ae84-45462f08ee32","Utah","Water","Water Level","Water Quality","Water Quality Site","Water temperature","environment","geoscientificInformation","inlandWaters","pH"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-111.88555908, 41.50027847, -111.56667328, 41.97777939","theme":["geospatial"],"title":"Specific Water Quality Sites for Cache County, Utah"},"description":"This map shows specific water-quality items and hydrologic data site\ninformation which come from QWDATA (Water Quality) and GWSI (Ground\nWater Information System). Both QWDATA and GWSI are subsystems of\nNWIS (National Water Inventory System)of the USGS (United States\nGeologic Survey).\n\t\t\nThis map is for Cache County, Utah.\n\t\t\nThe scope and purpose of NWIS is defined on the web site:\n\t\t\nhttp://water.usgs.gov/public/pubs/FS/FS-027-98/","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/82a11a0d-1a96-485e-b044-99ffae5fa39c","harvest_record_raw":"https://catalog.data.gov/harvest_record/82a11a0d-1a96-485e-b044-99ffae5fa39c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c8802747-eb79-44ef-ae84-45462f08ee32","keyword":["Alkalinity","Ammonia","Ammonia unionize","Cache","Cache County","Dissolved solids","Flow Rate","Hardness","Hardness total","Nitrogen","Nitrogen nitrate","Quality","Specific conductance","State of Utah","USGS:c8802747-eb79-44ef-ae84-45462f08ee32","Utah","Water","Water Level","Water Quality","Water Quality Site","Water temperature","environment","geoscientificInformation","inlandWaters","pH"],"last_harvested_date":"2026-09-17T00:44:34.113782","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"specific-water-quality-sites-for-cache-county-utah","spatial_centroid":{"lat":41.691278838,"lon":-111.75800475999999},"spatial_shape":{"coordinates":[[[-111.88555908,41.50027847],[-111.88555908,41.97777939],[-111.56667328,41.97777939],[-111.56667328,41.50027847],[-111.88555908,41.50027847]]],"type":"Polygon"},"theme":["geospatial"],"title":"Specific Water Quality Sites for Cache County, Utah","type":"dataset"},{"_score":6.5663977,"_sort":[1789605865613,6.5663977,3,"f8d44095-d528-4989-ae6e-089634f795aa"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Carol J. Becker","hasEmail":"mailto:cjbecker@usgs.gov"},"description":"This data set consists of digital polygons of constant recharge\nvalues for the Tillman terrace and alluvial aquifer in\nsouthwestern Oklahoma. The Tillman terrace and alluvial aquifer\nencompasses the unconsolidated terrace deposits and alluvium\nassociated with the North Fork of the Red River and the Red\nRiver in the western half of Tillman County. These sediments\nconsist of discontinuous layers of clay, sandy clay, sand, and\ngravel. The aquifer extends over an area of 285 square miles and\nis used for irrigation and domestic purposes. Granite and the\nHennessey Formation outcrop in northern parts of the aquifer\nwhere alluvial deposits are absent. These outcrops were included\nas part of the aquifer in a thesis in which the ground-water\nflow in the aquifer was modeled.\nA recharge value of 2.87 inches per year was used in the\nground-water flow model and in this data set. The recharge\npolygons were derived from two sources. The outer polygon\nrepresenting the outer shell of a model grid for a ground-water\nflow model of the Tillman terrace and alluvial aquifer was\ndigitized from a paper map in a thesis at a scale of 1:249,695.\nPolygons and lines representing geologic contacts were extracted\nfrom a published digital surficial geology data set based on a\nscale of 1:250,000. Small polygons along the eastern boundary of\nthe aquifer were created when the outer polygon of the model\ngrid and the geology polygons and lines were combined. These\nsmall polygons represent geologic units other than the Tillman\nterrace and alluvial aquifer within the model grid. Three small\npolygons representing outcrops of granite and the Hennessey\nFormation in the northern parts of the aquifer also were\nextracted from the digital surficial geology data set.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of recharge used in the\nmodel and presented in this data set are not precise, but are\nwithin a reasonable range when compared to independently\ncollected data.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9GE5L6E","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.9a95945c-9f74-4161-bdf3-966f381c366d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_9a95945c-9f74-4161-bdf3-966f381c366d","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:9a95945c-9f74-4161-bdf3-966f381c366d","alluvial and terrace aquifer","alluvial aquifer","alluvial deposit","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","recharge","recharge rate","terrace and alluvial aquifer","terrace aquifer","terrace deposit"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-99.2286, 34.1912, -98.9482, 34.6411","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma"},"description":"This data set consists of digital polygons of constant recharge\nvalues for the Tillman terrace and alluvial aquifer in\nsouthwestern Oklahoma. The Tillman terrace and alluvial aquifer\nencompasses the unconsolidated terrace deposits and alluvium\nassociated with the North Fork of the Red River and the Red\nRiver in the western half of Tillman County. These sediments\nconsist of discontinuous layers of clay, sandy clay, sand, and\ngravel. The aquifer extends over an area of 285 square miles and\nis used for irrigation and domestic purposes. Granite and the\nHennessey Formation outcrop in northern parts of the aquifer\nwhere alluvial deposits are absent. These outcrops were included\nas part of the aquifer in a thesis in which the ground-water\nflow in the aquifer was modeled.\nA recharge value of 2.87 inches per year was used in the\nground-water flow model and in this data set. The recharge\npolygons were derived from two sources. The outer polygon\nrepresenting the outer shell of a model grid for a ground-water\nflow model of the Tillman terrace and alluvial aquifer was\ndigitized from a paper map in a thesis at a scale of 1:249,695.\nPolygons and lines representing geologic contacts were extracted\nfrom a published digital surficial geology data set based on a\nscale of 1:250,000. Small polygons along the eastern boundary of\nthe aquifer were created when the outer polygon of the model\ngrid and the geology polygons and lines were combined. These\nsmall polygons represent geologic units other than the Tillman\nterrace and alluvial aquifer within the model grid. Three small\npolygons representing outcrops of granite and the Hennessey\nFormation in the northern parts of the aquifer also were\nextracted from the digital surficial geology data set.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of recharge used in the\nmodel and presented in this data set are not precise, but are\nwithin a reasonable range when compared to independently\ncollected data.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/fe653668-250b-4fa5-87ed-6d20634a113c","harvest_record_raw":"https://catalog.data.gov/harvest_record/fe653668-250b-4fa5-87ed-6d20634a113c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_9a95945c-9f74-4161-bdf3-966f381c366d","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:9a95945c-9f74-4161-bdf3-966f381c366d","alluvial and terrace aquifer","alluvial aquifer","alluvial deposit","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","recharge","recharge rate","terrace and alluvial aquifer","terrace aquifer","terrace deposit"],"last_harvested_date":"2026-09-17T00:44:25.613730","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-tillman-terrace-and-alluvia-d0821","spatial_centroid":{"lat":34.37116,"lon":-99.11644},"spatial_shape":{"coordinates":[[[-99.2286,34.1912],[-99.2286,34.6411],[-98.9482,34.6411],[-98.9482,34.1912],[-99.2286,34.1912]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma","type":"dataset"},{"_score":6.5839033,"_sort":[1789605796015,6.5839033,3,"b1a96cd2-742a-49ac-881f-2515a6b0732b"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Oklahoma-Texas Water Science Center","hasEmail":"mailto:gs-w-txpublic-info@usgs.gov"},"description":"This data set consists of digital polygons of a constant\nrecharge value for the alluvial and terrace deposits along the\nBeaver-North Canadian River from the panhandle to Canton Lake in\nnorthwestern Oklahoma. Ground water in 830 square miles of the\nQuaternary-age alluvial and terrace aquifer is an important\nsource of water for irrigation, industrial, municipal, stock,\nand domestic supplies. The aquifer consists of poorly sorted,\nfine to coarse, unconsolidated quartz sand with minor amounts of\nclay, silt, and basal gravel. The hydraulically connected\nalluvial and terrace deposits unconformably overlie the\nTertiary-age Ogallala Formation and Permian-age formations.\nA recharge rate of 1 inch per year was estimated in the\nground-water modeling report for the alluvial and terrace\ndeposits and used in this data set. The recharge rate was\nestimated using a base-flow method and a monthly-water-balance\nmethod.\nThe features in the data set representing boundaries along\ngeological contacts were extracted from a published digital\nsurficial geology data set based on a scale of 1:250,000. The\ngeographic limits of the aquifer were digitized from a folded\npaper map, at a scale of 1:250,000 in the ground-water\nmodeling report.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of recharge used in the\nmodel and presented in this data set are not precise, but are\nwithin a reasonable range when compared to independently\ncollected data.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9HM70KG","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.95e20cc4-52ef-46f5-8065-fca5055def34.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_95e20cc4-52ef-46f5-8065-fca5055def34","keyword":["Beaver River alluvial and terrace aquifer","Beaver alluvial and terrace aquifer","North Canadian River alluvial and terrace aquifer","North Canadian alluvial and terrace aquifer","USGS:95e20cc4-52ef-46f5-8065-fca5055def34","alluvial and terrace aquifer","alluvial aquifer","alluvium","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","recharge","recharge rate","terrace","terrace aquifer","terrace deposit"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-99.9650, 36.0439, -98.5487, 36.9727","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the Beaver-North Canadian River from the panhandle to Canton Lake in northwestern Oklahoma"},"description":"This data set consists of digital polygons of a constant\nrecharge value for the alluvial and terrace deposits along the\nBeaver-North Canadian River from the panhandle to Canton Lake in\nnorthwestern Oklahoma. Ground water in 830 square miles of the\nQuaternary-age alluvial and terrace aquifer is an important\nsource of water for irrigation, industrial, municipal, stock,\nand domestic supplies. The aquifer consists of poorly sorted,\nfine to coarse, unconsolidated quartz sand with minor amounts of\nclay, silt, and basal gravel. The hydraulically connected\nalluvial and terrace deposits unconformably overlie the\nTertiary-age Ogallala Formation and Permian-age formations.\nA recharge rate of 1 inch per year was estimated in the\nground-water modeling report for the alluvial and terrace\ndeposits and used in this data set. The recharge rate was\nestimated using a base-flow method and a monthly-water-balance\nmethod.\nThe features in the data set representing boundaries along\ngeological contacts were extracted from a published digital\nsurficial geology data set based on a scale of 1:250,000. The\ngeographic limits of the aquifer were digitized from a folded\npaper map, at a scale of 1:250,000 in the ground-water\nmodeling report.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of recharge used in the\nmodel and presented in this data set are not precise, but are\nwithin a reasonable range when compared to independently\ncollected data.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/38d982a7-a7dc-4836-bdb8-0dabaf777683","harvest_record_raw":"https://catalog.data.gov/harvest_record/38d982a7-a7dc-4836-bdb8-0dabaf777683/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_95e20cc4-52ef-46f5-8065-fca5055def34","keyword":["Beaver River alluvial and terrace aquifer","Beaver alluvial and terrace aquifer","North Canadian River alluvial and terrace aquifer","North Canadian alluvial and terrace aquifer","USGS:95e20cc4-52ef-46f5-8065-fca5055def34","alluvial and terrace aquifer","alluvial aquifer","alluvium","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","recharge","recharge rate","terrace","terrace aquifer","terrace deposit"],"last_harvested_date":"2026-09-17T00:43:16.015166","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-alluvial-and-terrace-deposi-04f49","spatial_centroid":{"lat":36.41542,"lon":-99.39847999999999},"spatial_shape":{"coordinates":[[[-99.965,36.0439],[-99.965,36.9727],[-98.5487,36.9727],[-98.5487,36.0439],[-99.965,36.0439]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the Beaver-North Canadian River from the panhandle to Canton Lake in northwestern Oklahoma","type":"dataset"},{"_score":8.389437,"_sort":[1789605787809,8.389437,1,"6aaddf1e-a073-4a99-a351-4a2ceee39ac0"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Mark F. Becker","hasEmail":"mailto:mfbecker@usgs.gov"},"description":"This digital data set consists of contours for predevelopment\nwater-level elevations for the High Plains aquifer in the\ncentral United States.  The High Plains aquifer extends from\nsouth of 32 degrees to almost 44 degrees north latitude and from\n96 degrees 30 minutes to 106 degrees west longitude.  The\noutcrop area covers 174,000 square miles and is present in\nColorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota,\nTexas, and Wyoming.\nThis digital data set was created by digitizing the contours for\npredevelopment water-level elevations from a 1:1,000,000-scale\nbase map created by the U.S. Geological Survey High Plains\nRegional Aquifer-System Analysis (RASA) project (Gutentag, E.D.,\nHeimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984,\nGeohydrology of the High Plains aquifer in parts of Colorado,\nKansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and\nWyoming: U.S. Geological Survey Professional Paper 1400-B, 63\np.) The data are not intended for use at scales larger than\n1:1,000,000.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9WUJV3R","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.f8960338-5416-4d68-9f42-bc48cdda2156.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_f8960338-5416-4d68-9f42-bc48cdda2156","keyword":["Great Plains region","High Plains","High Plains aquifer","Ogallala Formation","Ogallala aquifer","USGS:f8960338-5416-4d68-9f42-bc48cdda2156","aquifer boundary","aquifers","environment","geoscientificInformation","ground water","groundwater","inlandWaters","western U.S."],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-105.46697315, 31.81224042, -96.47898317, 43.57658376","theme":["geospatial"],"title":"Digital map of predevelopment water levels for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"description":"This digital data set consists of contours for predevelopment\nwater-level elevations for the High Plains aquifer in the\ncentral United States.  The High Plains aquifer extends from\nsouth of 32 degrees to almost 44 degrees north latitude and from\n96 degrees 30 minutes to 106 degrees west longitude.  The\noutcrop area covers 174,000 square miles and is present in\nColorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota,\nTexas, and Wyoming.\nThis digital data set was created by digitizing the contours for\npredevelopment water-level elevations from a 1:1,000,000-scale\nbase map created by the U.S. Geological Survey High Plains\nRegional Aquifer-System Analysis (RASA) project (Gutentag, E.D.,\nHeimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984,\nGeohydrology of the High Plains aquifer in parts of Colorado,\nKansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and\nWyoming: U.S. Geological Survey Professional Paper 1400-B, 63\np.) The data are not intended for use at scales larger than\n1:1,000,000.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/27726b1c-a78f-4c00-aa2b-66861589b770","harvest_record_raw":"https://catalog.data.gov/harvest_record/27726b1c-a78f-4c00-aa2b-66861589b770/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_f8960338-5416-4d68-9f42-bc48cdda2156","keyword":["Great Plains region","High Plains","High Plains aquifer","Ogallala Formation","Ogallala aquifer","USGS:f8960338-5416-4d68-9f42-bc48cdda2156","aquifer boundary","aquifers","environment","geoscientificInformation","ground water","groundwater","inlandWaters","western 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The surface grid was used to export the cell centroid position \n(Northing, Easting in UTM zone 14 North, in meters) along with the cell elevation (referenced to NAVD88, in meters) to \ncreate the text file.  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The shapefiles Hi_Res_Extents.shp and \nLow_Res_Extents.shp define the limits of these areas. The horizontal datum of the DEM is NAD 1983 State \nPlane-Oregon South HARN with units of International Feet (NAD83). The vertical datum of the elevation model \nis NAVD 1988 with units of international feet (NAVD-88). In addition, some areas show surveyed bathymetry \nwithin the channel. These can be noted by the sharp increase in apparent depth, creating a stripe across the \ndepth grid when compared to the LiDAR data, which represents the water surface elevation at the time of the \naerial data collection. Bridge decks are generally removed from DEMs as standard practice. Therefore, these \nfeatures may be shown as inundated when they are not. An effort to clip flood extents on bridge decks was \nmade, but judgement should be used when estimating the usefulness of a bridge during flood flow. Comparing \nthe bridge to the surrounding ground can be more informative in this respect than simply looking at the bridge \nitself. The features and depth grids stop as the Coast Fork approaches the Middle Fork on the northern end of \nthe reach. See cfwgoshOR.shp for information regarding this file. This represents the depth grid for the 33,900 \ncfs profile.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f43fdda5-979e-4a09-be94-a2f84ce42e5f","harvest_record_raw":"https://catalog.data.gov/harvest_record/f43fdda5-979e-4a09-be94-a2f84ce42e5f/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_63d233ac-557d-4b79-8664-c2937dda3cb9","keyword":["Coast Fork Willamette River","Creswell","Goshen","Oregon","USGS:63d233ac-557d-4b79-8664-c2937dda3cb9","Willamette Valley","elevation","environment","flood","flood-inundation maps","flooded area","geoscientificInformation","geospatial analysis","high-water marks","inlandWaters","river/stream"],"last_harvested_date":"2026-09-17T00:38:28.469191","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"sir2016-5029_cfwgoshor_5-flood-inundation-depth-for-a-flow-of-33900-cfs-at-the-gage-coast-","spatial_centroid":{"lat":43.9502921918,"lon":-123.0092642094},"spatial_shape":{"coordinates":[[[-123.048840045,43.909466547],[-123.048840045,44.011530659],[-122.949900456,44.011530659],[-122.949900456,43.909466547],[-123.048840045,43.909466547]]],"type":"Polygon"},"theme":["geospatial"],"title":"SIR2016-5029_cfwgoshor_5: Flood Inundation Depth for a Flow of 33,900 cfs at the Gage Coast Fork Willamette River at Goshen, Oregon","type":"dataset"},{"_score":10.017279,"_sort":[1789605492432,10.017279,3,"1d2dba95-81b9-4104-9d66-3e588ee978ec"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network \n(TIN), of the substrate surface between cross-sections 23 and 39 following construction of \nEmergent Sandbar Habitat near River Mile 761.4.  The surface was generated from points \ncollected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below \nGavins Point Dam on the Missouri River in South Dakota.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9WMIYIX","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.27c54785-3cfd-4ccd-a2d3-c3f47c102e47.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_27c54785-3cfd-4ccd-a2d3-c3f47c102e47","keyword":["Hydrographic Survey","USGS:27c54785-3cfd-4ccd-a2d3-c3f47c102e47","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.769522, 42.657361, -96.739372, 42.666935","theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 761.4"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network \n(TIN), of the substrate surface between cross-sections 23 and 39 following construction of \nEmergent Sandbar Habitat near River Mile 761.4.  The surface was generated from points \ncollected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below \nGavins Point Dam on the Missouri River in South Dakota.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/87c9b22d-16ac-45c2-828e-c898d0334025","harvest_record_raw":"https://catalog.data.gov/harvest_record/87c9b22d-16ac-45c2-828e-c898d0334025/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_27c54785-3cfd-4ccd-a2d3-c3f47c102e47","keyword":["Hydrographic Survey","USGS:27c54785-3cfd-4ccd-a2d3-c3f47c102e47","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:38:12.432010","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"postconstruction-tin-of-land-surface-on-the-missouri-river-downstream-from-gavins-point-da-5ef18","spatial_centroid":{"lat":42.661190600000005,"lon":-96.757462},"spatial_shape":{"coordinates":[[[-96.769522,42.657361],[-96.769522,42.666935],[-96.739372,42.666935],[-96.739372,42.657361],[-96.769522,42.657361]]],"type":"Polygon"},"theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 761.4","type":"dataset"},{"_score":7.695506,"_sort":[1789605489041,7.695506,3,"0bb13178-78e7-48ef-8788-746a90236962"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Marvin M. Abbott","hasEmail":"mailto:mmabbott@usgs.gov"},"description":"This data set consists of digitized polygons of constant\nrecharge values for the Vamoosa-Ada aquifer, in east-central\nOklahoma. The Vamoosa-Ada aquifer is an important source of\nwater that underlies about 2,320-square miles of parts of Osage,\nPawnee, Payne, Creek, Lincoln, Okfuskee, and Seminole Counties.\nApproximately 75 percent of the water withdrawn from the\nVamoosa-Ada aquifer is for municipal use. Rural domestic use and\nwater for stock animals account for most of the remaining water\nwithdrawn. The Vamoosa-Ada aquifer is defined in a ground-water\nreport as consisting principally of the rocks of the Late\nPennsylvanian-age Vamoosa Formation and overlying Ada Group. The\nVamoosa-Ada aquifer consists of a complex sequence of fine- to\nvery fine-grained sandstone, siltstone, shale, and conglomerate\ninterbedded with very thin limestones. The water-yielding\ncapabilities of the aquifer are generally controlled by lateral\nand vertical distribution of the sandstone beds and their\nphysical characteristics. The Vamoosa-Ada aquifer is unconfined\nwhere it outcrops in about an 1,700-square-mile area.\n\t\t\nThe recharge rate of the Vamoosa-Ada aquifer was estimated as\n1.52 inches per year from base-flow measurements and\nprecipitation records published in a ground-water report. Most\nof the recharge polygons were extracted from published digital\ngeology data sets. The lines in the digital geology data sets\nwere scanned or digitized from maps published at a scale of\n1:250,000 and represent geologic contacts. Some of the lines in\nthe data set were interpolated in areas where the Vamoosa-Ada\naquifer is overlain by alluvial and terrace deposits near\nstreams and rivers.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P96TQ75L","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.d79c7955-48bf-4b03-9690-dfce004a9609.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d79c7955-48bf-4b03-9690-dfce004a9609","keyword":["Ada Group","Ada aquifer","USGS:d79c7955-48bf-4b03-9690-dfce004a9609","Vamoosa Formation","Vamoosa aquifer","Vamoosa-Ada aquifer","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater recharge","groundwater vulnerability","inlandWaters","recharge","recharge rate"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.7807, 34.8562, -96.0003, 37.0010","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Vamoosa-Ada aquifer in east-central Oklahoma"},"description":"This data set consists of digitized polygons of constant\nrecharge values for the Vamoosa-Ada aquifer, in east-central\nOklahoma. The Vamoosa-Ada aquifer is an important source of\nwater that underlies about 2,320-square miles of parts of Osage,\nPawnee, Payne, Creek, Lincoln, Okfuskee, and Seminole Counties.\nApproximately 75 percent of the water withdrawn from the\nVamoosa-Ada aquifer is for municipal use. Rural domestic use and\nwater for stock animals account for most of the remaining water\nwithdrawn. The Vamoosa-Ada aquifer is defined in a ground-water\nreport as consisting principally of the rocks of the Late\nPennsylvanian-age Vamoosa Formation and overlying Ada Group. The\nVamoosa-Ada aquifer consists of a complex sequence of fine- to\nvery fine-grained sandstone, siltstone, shale, and conglomerate\ninterbedded with very thin limestones. The water-yielding\ncapabilities of the aquifer are generally controlled by lateral\nand vertical distribution of the sandstone beds and their\nphysical characteristics. The Vamoosa-Ada aquifer is unconfined\nwhere it outcrops in about an 1,700-square-mile area.\n\t\t\nThe recharge rate of the Vamoosa-Ada aquifer was estimated as\n1.52 inches per year from base-flow measurements and\nprecipitation records published in a ground-water report. Most\nof the recharge polygons were extracted from published digital\ngeology data sets. The lines in the digital geology data sets\nwere scanned or digitized from maps published at a scale of\n1:250,000 and represent geologic contacts. Some of the lines in\nthe data set were interpolated in areas where the Vamoosa-Ada\naquifer is overlain by alluvial and terrace deposits near\nstreams and rivers.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1147ab46-e831-4b72-a33f-838a5e76985c","harvest_record_raw":"https://catalog.data.gov/harvest_record/1147ab46-e831-4b72-a33f-838a5e76985c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d79c7955-48bf-4b03-9690-dfce004a9609","keyword":["Ada Group","Ada aquifer","USGS:d79c7955-48bf-4b03-9690-dfce004a9609","Vamoosa Formation","Vamoosa aquifer","Vamoosa-Ada aquifer","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater recharge","groundwater vulnerability","inlandWaters","recharge","recharge rate"],"last_harvested_date":"2026-09-17T00:38:09.041963","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-vamoosa-ada-aquifer-in-east-9c3b3","spatial_centroid":{"lat":35.71412,"lon":-96.46853999999999},"spatial_shape":{"coordinates":[[[-96.7807,34.8562],[-96.7807,37.001],[-96.0003,37.001],[-96.0003,34.8562],[-96.7807,34.8562]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Vamoosa-Ada aquifer in east-central Oklahoma","type":"dataset"},{"_score":6.817295,"_sort":[1789605476590,6.817295,1,"6ea33984-9ed2-4cbc-840b-f8dfcbbf5a58"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Carol J. Becker","hasEmail":"mailto:cjbecker@usgs.gov"},"description":"This data set consists of digital polygons of constant hydraulic\nconductivity values for the Tillman terrace and alluvial aquifer\nin southwestern Oklahoma. The Tillman terrace and alluvial\naquifer encompasses the unconsolidated terrace deposits and\nalluvium associated with the North Fork of the Red River and the\nRed River in the western half of Tillman County. These sediments\nconsist of discontinuous layers of clay, sandy clay, sand, and\ngravel. The aquifer extends over an area of 285 square miles and\nis used for irrigation and domestic purposes. Granite and the\nHennessey Formation outcrop in northern parts of the aquifer\nwhere alluvial deposits are absent. These outcrops were included\nas part of the aquifer in a thesis in which the ground-water\nflow in the aquifer was modeled.\nAn average hydraulic conductivity value of 92.5 feet per day was\nused for both the terrace and alluvial deposits in this data set\nand was reported in the thesis. The hydraulic conductivity\npolygons were derived from two sources. The outer polygon\nrepresenting the outer shell of a model grid for a ground-water\nflow model of the Tillman terrace and alluvial aquifer was\ndigitized from a paper map in a thesis at a scale of 1:249,695.\nPolygons and lines representing geologic contacts were extracted\nfrom a published digital surficial geology data set based on a\nscale of 1:250,000. Small polygons along the eastern boundary of\nthe aquifer were created when the outer polygon of the model\ngrid and the geology polygons and lines were combined. These\nsmall polygons represent geologic units other than the Tillman\nterrace and alluvial aquifer within the model grid. Three small\npolygons representing outcrops of granite and the Hennessey\nFormation in the northern parts of the aquifer also were\nextracted from the digital surficial geology data set.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of hydraulic conductivity\nused in the model and presented in this data set are not\nprecise, but are within a reasonable range when compared to\nindependently collected data.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9PYPM0O","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.771b04b4-5d88-43f0-ac01-0c076cf6dc30.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_771b04b4-5d88-43f0-ac01-0c076cf6dc30","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:771b04b4-5d88-43f0-ac01-0c076cf6dc30","alluvial aquifer","alluvial deposit","alluvium","aquifers","coefficent of permeability","environment","geoscientificInformation","ground water","ground-water vulnerability","groundwater","groundwater vulnerability","hydraulic conductivity","inlandWaters","permeability","permeability coefficent","terrace aquifer","terrace deposit"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-99.2286, 34.1912, -98.9482, 34.6411","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma"},"description":"This data set consists of digital polygons of constant hydraulic\nconductivity values for the Tillman terrace and alluvial aquifer\nin southwestern Oklahoma. The Tillman terrace and alluvial\naquifer encompasses the unconsolidated terrace deposits and\nalluvium associated with the North Fork of the Red River and the\nRed River in the western half of Tillman County. These sediments\nconsist of discontinuous layers of clay, sandy clay, sand, and\ngravel. The aquifer extends over an area of 285 square miles and\nis used for irrigation and domestic purposes. Granite and the\nHennessey Formation outcrop in northern parts of the aquifer\nwhere alluvial deposits are absent. These outcrops were included\nas part of the aquifer in a thesis in which the ground-water\nflow in the aquifer was modeled.\nAn average hydraulic conductivity value of 92.5 feet per day was\nused for both the terrace and alluvial deposits in this data set\nand was reported in the thesis. The hydraulic conductivity\npolygons were derived from two sources. The outer polygon\nrepresenting the outer shell of a model grid for a ground-water\nflow model of the Tillman terrace and alluvial aquifer was\ndigitized from a paper map in a thesis at a scale of 1:249,695.\nPolygons and lines representing geologic contacts were extracted\nfrom a published digital surficial geology data set based on a\nscale of 1:250,000. Small polygons along the eastern boundary of\nthe aquifer were created when the outer polygon of the model\ngrid and the geology polygons and lines were combined. These\nsmall polygons represent geologic units other than the Tillman\nterrace and alluvial aquifer within the model grid. Three small\npolygons representing outcrops of granite and the Hennessey\nFormation in the northern parts of the aquifer also were\nextracted from the digital surficial geology data set.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of hydraulic conductivity\nused in the model and presented in this data set are not\nprecise, but are within a reasonable range when compared to\nindependently collected data.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b4759b92-4175-4acf-8362-a23d34d5a682","harvest_record_raw":"https://catalog.data.gov/harvest_record/b4759b92-4175-4acf-8362-a23d34d5a682/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_771b04b4-5d88-43f0-ac01-0c076cf6dc30","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:771b04b4-5d88-43f0-ac01-0c076cf6dc30","alluvial aquifer","alluvial deposit","alluvium","aquifers","coefficent of permeability","environment","geoscientificInformation","ground water","ground-water vulnerability","groundwater","groundwater vulnerability","hydraulic conductivity","inlandWaters","permeability","permeability coefficent","terrace aquifer","terrace deposit"],"last_harvested_date":"2026-09-17T00:37:56.590349","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-tillman-terrace-and-alluvia-eb6cf","spatial_centroid":{"lat":34.37116,"lon":-99.11644},"spatial_shape":{"coordinates":[[[-99.2286,34.1912],[-99.2286,34.6411],[-98.9482,34.6411],[-98.9482,34.1912],[-99.2286,34.1912]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma","type":"dataset"},{"_score":9.325948,"_sort":[1789605467141,9.325948,4,"71d50882-5d96-4e89-9cdc-4e1bfd87fd30"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"William A. 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Livestock holdings estimates were\ngenerated from surveys of all farms where $1,000 or more of agricultural\nproducts were sold, or normally would have been sold, during the census\nyear.\n\t\t\nMost of the attributes summarized represent 1987 data, but some\ninformation for the 1982 Census of Agriculture also was included.\n\t\t\nThe polygons representing county boundaries in the conterminous United\nStates, as well as lakes, estuaries, and other nonland-area features were\nderived from the Digital Line Graph (DLG) files representing the\n1:2,000,000-scale map in the National Atlas of the United States (1970).\n\t\t\nLivestock\nCensus of Agriculture\nCounties\nUnited States","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P90NGQW2","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.2b640c79-2b82-49fe-8843-65061db48708.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_2b640c79-2b82-49fe-8843-65061db48708","keyword":["Agricultural livestock holdings in counties from 1987 Census of Agriculture","USGS:2b640c79-2b82-49fe-8843-65061db48708","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-128.07002717, 22.67774911, -65.25698378, 48.26194027","theme":["geospatial"],"title":"Estimates of livestock holdings in counties in the conterminous United States as reported in the 1987 Census of Agriculture"},"description":"This coverage contains estimates of livestock holdings in counties in\nthe conterminous United States as reported in the 1987 Census of\nAgriculture (U.S. Department of Commerce, 1989a). 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The MRLC \nConsortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the \nU.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration \n(NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of \nAgriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), \nthe U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), \nand the USDA Natural Resources Conservation Service (NRCS).\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets \nthat incorporates many of the best features of the National Hydrography Dataset (NHD) \nand the National Elevation Dataset (NED). The NHDPlus includes a stream network \n(based on the 1:100,00-scale NHD), improved networking, naming, and value-added \nattributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) \nproduced using a drainage enforcement technique first widely used in New England, and \nthus referred to as \"the New England Method.\" This technique involves \"burning in\" the \n1:100,000-scale NHD and when available building \"walls\" using the National Watershed \nBoundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is \nused to produce hydrologic derivatives that agree with the NHD and WBD. Over the past \ntwo years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the \nU.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). \nThe NHDPlus dataset is organized by 18 Production Units that cover the conterminous \nUnited States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River \nBasins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and \nMid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, covering \nthe South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production \nUnits 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy \nRiver basins, contains NHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the \nMissouri River basins, contains NHDPlus Production Units 10-lower and 10-upper.  MRB5, \ncovering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains \nNHDPlus Production Units 8, 11 and 12.  MRB6, covering the Rio Grande, Colorado and \nGreat Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16.  MRB7, \ncovering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  MRB8, \ncovering California River basins, contains NHDPlus Production Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9SE7067","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.afec6afe-7fe0-4946-81aa-f6bb290f2bdb.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_afec6afe-7fe0-4946-81aa-f6bb290f2bdb","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","Tree canopy","USGS:afec6afe-7fe0-4946-81aa-f6bb290f2bdb","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: NLCD 2001 Tree Canopy"},"description":"This data set represents the mean percentage of tree canopy from the Canopy Layer of the \nNational Land Cover Dataset 2001,  (LaMotte and Wieczorek, 2010), compiled for every \ncatchment of NHDPlus for the conterminous United States. The source data set represents \ntree canopy percentage for the conterminous United States for 2001. The Canopy Layer of \nthe National Land Cover Data Set for 2001 was produced through a cooperative project \nconducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC \nConsortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the \nU.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration \n(NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of \nAgriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), \nthe U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), \nand the USDA Natural Resources Conservation Service (NRCS).\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets \nthat incorporates many of the best features of the National Hydrography Dataset (NHD) \nand the National Elevation Dataset (NED). The NHDPlus includes a stream network \n(based on the 1:100,00-scale NHD), improved networking, naming, and value-added \nattributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) \nproduced using a drainage enforcement technique first widely used in New England, and \nthus referred to as \"the New England Method.\" This technique involves \"burning in\" the \n1:100,000-scale NHD and when available building \"walls\" using the National Watershed \nBoundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is \nused to produce hydrologic derivatives that agree with the NHD and WBD. Over the past \ntwo years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the \nU.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). \nThe NHDPlus dataset is organized by 18 Production Units that cover the conterminous \nUnited States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River \nBasins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and \nMid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, covering \nthe South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production \nUnits 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy \nRiver basins, contains NHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the \nMissouri River basins, contains NHDPlus Production Units 10-lower and 10-upper.  MRB5, \ncovering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains \nNHDPlus Production Units 8, 11 and 12.  MRB6, covering the Rio Grande, Colorado and \nGreat Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16.  MRB7, \ncovering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  MRB8, \ncovering California River basins, contains NHDPlus Production Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8e671d4f-bdf7-4b11-97f5-3ffc37d3b3d7","harvest_record_raw":"https://catalog.data.gov/harvest_record/8e671d4f-bdf7-4b11-97f5-3ffc37d3b3d7/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_afec6afe-7fe0-4946-81aa-f6bb290f2bdb","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","Tree canopy","USGS:afec6afe-7fe0-4946-81aa-f6bb290f2bdb","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:36:34.972241","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-nlcd-2001-e4053","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: NLCD 2001 Tree Canopy","type":"dataset"},{"_score":8.474018,"_sort":[1789605360724,8.474018,1,"cc1e5a35-411e-412b-ae24-a35459c2a5ee"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Fred D Tillman","hasEmail":"mailto:ftillman@usgs.gov"},"description":"hsg_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing the hydrologic soil group \n(HSG) for the Upper Colorado River Basin.  The HSG for an area is determined by the least \nwater-transmitting layer in the soil column. The Natural Resources Conservation Service \n(NRCS) classifies four HSGs from Group A (high infiltration capacity and low overland flow \npotential) to Group D (low infiltration capacity and high overland flow potential). In Soil-Water \nBalance recharge simulations, a lookup table incorporates HSG and land-cover information \nfor each grid cell to define unique runoff curve numbers, vegetation rooting depths, interception \nvalues, and maximum daily recharge values.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9CRMCYQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.54f57f83-ee11-44ce-82d7-bb5f1e06e86f.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_54f57f83-ee11-44ce-82d7-bb5f1e06e86f","keyword":["Arizona","California","Colorado","Nevada","New Mexico","USGS:54f57f83-ee11-44ce-82d7-bb5f1e06e86f","Upper Colorado River Basin","Utah","Wyoming","environment","geoscientificInformation","groundwater","groundwater recharge","hydrologic soil group","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-112.625, 35.125, -105.25, 43.75","theme":["geospatial"],"title":"Hydrologic Soil Group for the Upper Colorado River Basin in Maurer et al. 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In Soil-Water \nBalance recharge simulations, a lookup table incorporates HSG and land-cover information \nfor each grid cell to define unique runoff curve numbers, vegetation rooting depths, interception \nvalues, and maximum daily recharge values.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/16315e3e-0794-463b-96e0-0270748e17a6","harvest_record_raw":"https://catalog.data.gov/harvest_record/16315e3e-0794-463b-96e0-0270748e17a6/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_54f57f83-ee11-44ce-82d7-bb5f1e06e86f","keyword":["Arizona","California","Colorado","Nevada","New Mexico","USGS:54f57f83-ee11-44ce-82d7-bb5f1e06e86f","Upper Colorado River Basin","Utah","Wyoming","environment","geoscientificInformation","groundwater","groundwater recharge","hydrologic soil group","inlandWaters"],"last_harvested_date":"2026-09-17T00:36:00.724309","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"hydrologic-soil-group-for-the-upper-colorado-river-basin-in-maurer-et-al-2002-climate-data","spatial_centroid":{"lat":38.575,"lon":-109.675},"spatial_shape":{"coordinates":[[[-112.625,35.125],[-112.625,43.75],[-105.25,43.75],[-105.25,35.125],[-112.625,35.125]]],"type":"Polygon"},"theme":["geospatial"],"title":"Hydrologic Soil Group for the Upper Colorado River Basin in Maurer et al. 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Included are: \n(1) polygon extents; datasets that represent the aquifer system extent, the entire \nextent subdivided into subareas or subunits, and any polygon extents of special \ninterest (outcrop areas, no data available, areas underlying other aquifers, anomalies, \nfor example), \n(2) raster datasets for the altitude of each aquifer subarea or subunit, \n(3) altitude, and/or if applicable, thickness contours used to generate the surface rasters, \n(4) georeferenced images of the figures that were digitized to create the altitude and \nthickness contours. The images and digitized contours are supplied for reference.\n\t\t\t\nThe extent of the Southeastern Coastal Plain aquifer system is derived the linework in the \nSoutheastern Coastal Plain aquifer system extent maps in a digital version of the aquifer \nextent presented in the Groundwater Atlas of the United States (the U.S. Geological \nSurvey Hydrologic Atlas HA-730-F, -730-G, and -730-K. The Southeastern Coastal \nPlain aquifer system has 4 aquifer subunits, in order from the most surficial to the \ndeepest: A1: Chickasawhay River aquifer, A2: Pearl River Aquifer, A3: Chattahoochee \nRiver Aquifer, and A4: Black Warrior River Aquifer. \n\t\t\nThe altitude and thickness contours for each available subunit were digitized from \ngeoreferenced figures of altitude contours in U.S. Geological Survey Profession \nPaper 1410-B, (USGS PP 1410-B), and the resultant top and bottom altitude \nvalues were interpolated into surface rasters within a GIS using tools that create \nhydrologically correct surfaces from contour data, derive the altitude from the \nthickness (depth from the land surface), and merge the subareas into a single surface. \nThe primary tool was  \"Topo to Raster\" used in ArcGIS, ArcMap, Esri 2014. \nThe surface rasters were  corrected for the areas where the altitude of an underlying \nlayer of the aquifer exceeded altitude of an overlying layer.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9W8761D","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.f8e25f17-aa3a-49c1-8544-4e782dfc23f0.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_f8e25f17-aa3a-49c1-8544-4e782dfc23f0","keyword":["Alabama","Black Warrior River Aquifer","Chattahoochee River Aquifer","Chickasawhay River aquifer","Georgia","Mississippi","Pearl River Aquifer","South Carolina","Southeastern Coastal Plain aquifer system","Tennessee","USGS:f8e25f17-aa3a-49c1-8544-4e782dfc23f0","United States","aquifer","aquifer system","environment","extent","geoscientificInformation","groundwater","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-91.717561479, 28.878651564, -78.153283178, 36.392158697","theme":["geospatial"],"title":"Geodatabase of the datasets used to represent the four subunits of the Southeastern Coastal Plain aquifer system, Alabama, Georgia, Mississippi, South Carolina, and Tennessee"},"description":"This geodatabase includes spatial datasets that represent the Southeastern \nCoastal Plain aquifer system in the States of Alabama, Georgia, Mississippi, \nSouth Carolina, and Tennessee. Included are: \n(1) polygon extents; datasets that represent the aquifer system extent, the entire \nextent subdivided into subareas or subunits, and any polygon extents of special \ninterest (outcrop areas, no data available, areas underlying other aquifers, anomalies, \nfor example), \n(2) raster datasets for the altitude of each aquifer subarea or subunit, \n(3) altitude, and/or if applicable, thickness contours used to generate the surface rasters, \n(4) georeferenced images of the figures that were digitized to create the altitude and \nthickness contours. The images and digitized contours are supplied for reference.\n\t\t\t\nThe extent of the Southeastern Coastal Plain aquifer system is derived the linework in the \nSoutheastern Coastal Plain aquifer system extent maps in a digital version of the aquifer \nextent presented in the Groundwater Atlas of the United States (the U.S. Geological \nSurvey Hydrologic Atlas HA-730-F, -730-G, and -730-K. The Southeastern Coastal \nPlain aquifer system has 4 aquifer subunits, in order from the most surficial to the \ndeepest: A1: Chickasawhay River aquifer, A2: Pearl River Aquifer, A3: Chattahoochee \nRiver Aquifer, and A4: Black Warrior River Aquifer. \n\t\t\nThe altitude and thickness contours for each available subunit were digitized from \ngeoreferenced figures of altitude contours in U.S. Geological Survey Profession \nPaper 1410-B, (USGS PP 1410-B), and the resultant top and bottom altitude \nvalues were interpolated into surface rasters within a GIS using tools that create \nhydrologically correct surfaces from contour data, derive the altitude from the \nthickness (depth from the land surface), and merge the subareas into a single surface. \nThe primary tool was  \"Topo to Raster\" used in ArcGIS, ArcMap, Esri 2014. \nThe surface rasters were  corrected for the areas where the altitude of an underlying \nlayer of the aquifer exceeded altitude of an overlying layer.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/57b9e973-e119-45b1-8f56-e8a5c124fdd9","harvest_record_raw":"https://catalog.data.gov/harvest_record/57b9e973-e119-45b1-8f56-e8a5c124fdd9/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_f8e25f17-aa3a-49c1-8544-4e782dfc23f0","keyword":["Alabama","Black Warrior River Aquifer","Chattahoochee River Aquifer","Chickasawhay River aquifer","Georgia","Mississippi","Pearl River Aquifer","South Carolina","Southeastern Coastal Plain aquifer system","Tennessee","USGS:f8e25f17-aa3a-49c1-8544-4e782dfc23f0","United States","aquifer","aquifer system","environment","extent","geoscientificInformation","groundwater","inlandWaters"],"last_harvested_date":"2026-09-17T00:35:42.416758","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"geodatabase-of-the-datasets-used-to-represent-the-four-subunits-of-the-southeastern-coasta","spatial_centroid":{"lat":31.884054417199998,"lon":-86.2918501586},"spatial_shape":{"coordinates":[[[-91.717561479,28.878651564],[-91.717561479,36.392158697],[-78.153283178,36.392158697],[-78.153283178,28.878651564],[-91.717561479,28.878651564]]],"type":"Polygon"},"theme":["geospatial"],"title":"Geodatabase of the datasets used to represent the four subunits of the Southeastern Coastal Plain aquifer system, Alabama, Georgia, Mississippi, South Carolina, and Tennessee","type":"dataset"},{"_score":7.2765803,"_sort":[1789605335785,7.2765803,1,"5e4abdba-cc5e-4dab-98eb-df26d2732e16"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Utah Water Science Center","hasEmail":"mailto:rrowland@usgs.gov"},"description":"This map shows specific water-quality items and hydrologic data site\ninformation which come from QWDATA (Water Quality) and GWSI (Ground\nWater Information System). Both QWDATA and GWSI are subsystems of\nNWIS (National Water Inventory System)of the USGS (United States\nGeologic Survey).\n\t\t\nThis map is for Emery County, Utah.\n\t\t\nThe scope and purpose of NWIS is defined on the web site:\n\t\t\nhttp://water.usgs.gov/public/pubs/FS/FS-027-98/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9059J9R","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.786088ed-bf48-4852-a156-fb55fd773695.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_786088ed-bf48-4852-a156-fb55fd773695","keyword":["Alkalinity","Ammonia","Ammonia unionize","Dissolved solids","Emery","Emery County","Flow Rate","Hardness","Hardness total","Nitrogen","Nitrogen nitrate","Quality","Specific conductance","State of Utah","USGS:786088ed-bf48-4852-a156-fb55fd773695","Utah","Water","Water Level","Water Quality","Water Quality Site","Water temperature","environment","geoscientificInformation","inlandWaters","pH"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-111.26667023, 38.56305313, -110.15055847, 39.69361115","theme":["geospatial"],"title":"Specific Water Quality Sites for Emery County, Utah"},"description":"This map shows specific water-quality items and hydrologic data site\ninformation which come from QWDATA (Water Quality) and GWSI (Ground\nWater Information System). Both QWDATA and GWSI are subsystems of\nNWIS (National Water Inventory System)of the USGS (United States\nGeologic Survey).\n\t\t\nThis map is for Emery County, Utah.\n\t\t\nThe scope and purpose of NWIS is defined on the web site:\n\t\t\nhttp://water.usgs.gov/public/pubs/FS/FS-027-98/","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e4d2d553-a4ee-40e1-bb2d-3431e5e4eed4","harvest_record_raw":"https://catalog.data.gov/harvest_record/e4d2d553-a4ee-40e1-bb2d-3431e5e4eed4/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_786088ed-bf48-4852-a156-fb55fd773695","keyword":["Alkalinity","Ammonia","Ammonia unionize","Dissolved solids","Emery","Emery County","Flow Rate","Hardness","Hardness total","Nitrogen","Nitrogen nitrate","Quality","Specific conductance","State of Utah","USGS:786088ed-bf48-4852-a156-fb55fd773695","Utah","Water","Water Level","Water Quality","Water Quality 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Utah","type":"dataset"},{"_score":9.424145,"_sort":[1789605335145,9.424145,1,"1239f1d6-458f-46d4-b788-0e852bb5d26c"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Nevada Water Science Center","hasEmail":"mailto:GS-W-NVcrs_Webmaster@usgs.gov"},"description":"This data set contains precipitation stations and precipitation-zone boundaries of \nwest-central Nevada.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9VINUBD","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.48b72183-34aa-4abd-b9f1-79c1db283751.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_48b72183-34aa-4abd-b9f1-79c1db283751","keyword":["Great 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Basin","Nevada","USGS:48b72183-34aa-4abd-b9f1-79c1db283751","United States","environment","geoscientificInformation","inlandWaters","mean annual precipitation"],"last_harvested_date":"2026-09-17T00:35:35.145279","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"precipitation-zones-of-west-central-nevada","spatial_centroid":{"lat":38.952317799999996,"lon":-119.2429418},"spatial_shape":{"coordinates":[[[-120.802115,37.123771],[-120.802115,41.695138],[-116.904182,41.695138],[-116.904182,37.123771],[-120.802115,37.123771]]],"type":"Polygon"},"theme":["geospatial"],"title":"Precipitation Zones of West-Central Nevada","type":"dataset"},{"_score":6.817295,"_sort":[1789605331058,6.817295,1,"89ad618a-bfda-44a2-bab7-8d89683c6172"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Carol J. Becker","hasEmail":"mailto:cjbecker@usgs.gov"},"description":"This data set consists of digital aquifer boundaries for the\nTillman terrace and alluvial aquifer in southwestern Oklahoma.\nThe Tillman terrace aquifer encompasses the unconsolidated\nterrace deposits and alluvium associated with the North Fork of\nthe Red River and the Red River in the western half of Tillman\nCounty. These sediments consist of discontinuous layers of clay,\nsandy clay, sand, and gravel. The aquifer extends over an area\nof 285 square miles and is used for irrigation and domestic\npurposes. Granite and the Hennessey Formation outcrop in\nnorthern parts of the aquifer where alluvial deposits are\nabsent. These outcrops were included as part of the aquifer in a\nthesis that modeled the ground-water flow in the aquifer.\n\t\t\nMost of the aquifer boundary polygons were extracted from a\npublished digital surficial geology data set based on a scale of\n1:250,000. One of the lines in the aquifer boundary data set was\ndigitized from a figure in a thesis in which ground-water\nflow was modeled for the Tillman terrace and alluvial aquifer.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9N4CCRL","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.9075f6a8-927e-4d89-9345-f5f623deb7cf.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_9075f6a8-927e-4d89-9345-f5f623deb7cf","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:9075f6a8-927e-4d89-9345-f5f623deb7cf","alluvial and terrace aquifer","alluvial aquifer","alluvial deposit","aquifer boundary","aquifers","environment","geoscientificInformation","ground water","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","terrace and alluvial aquifer","terrace aquifer","terrace deposit"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-99.2274, 34.1691, -98.9262, 34.6426","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma"},"description":"This data set consists of digital aquifer boundaries for the\nTillman terrace and alluvial aquifer in southwestern Oklahoma.\nThe Tillman terrace aquifer encompasses the unconsolidated\nterrace deposits and alluvium associated with the North Fork of\nthe Red River and the Red River in the western half of Tillman\nCounty. These sediments consist of discontinuous layers of clay,\nsandy clay, sand, and gravel. The aquifer extends over an area\nof 285 square miles and is used for irrigation and domestic\npurposes. Granite and the Hennessey Formation outcrop in\nnorthern parts of the aquifer where alluvial deposits are\nabsent. These outcrops were included as part of the aquifer in a\nthesis that modeled the ground-water flow in the aquifer.\n\t\t\nMost of the aquifer boundary polygons were extracted from a\npublished digital surficial geology data set based on a scale of\n1:250,000. One of the lines in the aquifer boundary data set was\ndigitized from a figure in a thesis in which ground-water\nflow was modeled for the Tillman terrace and alluvial aquifer.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7590a66a-b64a-4186-863c-94f7da22c382","harvest_record_raw":"https://catalog.data.gov/harvest_record/7590a66a-b64a-4186-863c-94f7da22c382/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_9075f6a8-927e-4d89-9345-f5f623deb7cf","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:9075f6a8-927e-4d89-9345-f5f623deb7cf","alluvial and terrace aquifer","alluvial aquifer","alluvial deposit","aquifer boundary","aquifers","environment","geoscientificInformation","ground water","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","terrace and alluvial aquifer","terrace aquifer","terrace deposit"],"last_harvested_date":"2026-09-17T00:35:31.058823","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-tillman-terrace-and-alluvia-768af","spatial_centroid":{"lat":34.35850000000001,"lon":-99.10692},"spatial_shape":{"coordinates":[[[-99.2274,34.1691],[-99.2274,34.6426],[-98.9262,34.6426],[-98.9262,34.1691],[-99.2274,34.1691]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma","type":"dataset"},{"_score":9.479137,"_sort":[1789605329030,9.479137,2,"c6ba8367-806c-46b5-b428-b6a825eedc16"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"William A. 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