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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. 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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":9.432304,"_sort":[1789691579002,9.432304,0,"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. 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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. 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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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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. 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To \nsupport these analyses, digital channel maps were produced to depict channel and floodplain conditions in the Coquille River basin \nfrom different time periods. GIS layers defining the wetted channel and bar features and channel centerline of Hunter Creek were \ndeveloped for four time periods: 1939, 1967, 2005, and 2009. For this project, the active channel was defined as area typically \ninundated during annual high flows, and includes the low-flow channel as well as side channels, islands, and channel-flanking gravel \nbars. The wetted channel and bar feature datasets were developed by digitizing from aerial photographs. Aerial photographs from 1939 \nand 1967 were scanned, rectified, and mosaicked for this project (See metadata for each photograph set for more information on the \nrectification process and resolution of each dataset). 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Beginning in the Rogue River-Siskiyou National Forest, \nthe South Fork Coquille River gains the Middle Fork Coquille River (drainage area 798 square kilometers) and shortly thereafter the \nNorth Fork Coquille River (749 square kilometers). In cooperation with the U.S. Army Corps of Engineers, the U.S. Geological Survey \ncompleted a reconnaissance-level assessment of channel condition and bed-material transport relevant to the permitting of in-stream \ngravel extraction along the the South Fork Coquille River from river kilometer (RKM) 115.4 near its confluence with Upper Land Creek \nto RKM 58.5 at its confluence with the North Fork Coquille River, the mainstem Coquille River from RKM 58.5 at the confluence of the \nSouth and North Forks of the Coquille River to its mouth, the Middle Fork Coquille River from RKM 15.4 to its confluence with the \nSouth Fork Coquille River, and the North Fork Coquille River from RKM 14.6 to its confluence with the South Fork Coquille River. To \nsupport these analyses, digital channel maps were produced to depict channel and floodplain conditions in the Coquille River basin \nfrom different time periods. GIS layers defining the wetted channel and bar features and channel centerline of Hunter Creek were \ndeveloped for four time periods: 1939, 1967, 2005, and 2009. For this project, the active channel was defined as area typically \ninundated during annual high flows, and includes the low-flow channel as well as side channels, islands, and channel-flanking gravel \nbars. The wetted channel and bar feature datasets were developed by digitizing from aerial photographs. Aerial photographs from 1939 \nand 1967 were scanned, rectified, and mosaicked for this project (See metadata for each photograph set for more information on the \nrectification process and resolution of each dataset). 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NHDPlus also includes elevation-derived catchments \n(drainage areas) produced using a drainage enforcement technique first widely used in New England, \nand thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale \nNHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset 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, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, \nand Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering \nthe Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering \nthe Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production \nUnits 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains \nNHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, \ncontains NHDPlus Production Unit 17. 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This grid of skew coefficients is taken from figure\n11 of the Tortorelli and Bergman, 1985 report, \"Techniques for\nestimating flood peak discharges for unregulated streams and\nstreams regulated by small floodwater retarding structures in\nOklahoma,\" U.S. Geological Survey Water-Resources Investigations\nReport 84-4358. The skew coefficients were used to develop\npeak-flow regression equations in the Tortorelli, 1997 report,\n\"Techniques for estimating peak-streamflow frequency for\nunregulated streams and streams regulated by small floodwater\nretarding structures in Oklahoma,\" U.S. Geological Survey\nWater-Resources Investigations Report 97-4202. Only skew\ncoefficient values within Oklahoma are intended for use with the\nregression equations. To save disk space, the skew coefficient\nvalues have been multiplied by 100 and rounded to integers with two\nsignificant digits.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P98ZUQZG","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.78dadde4-609a-40a9-8919-8c3c3f1c2242.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_78dadde4-609a-40a9-8919-8c3c3f1c2242","keyword":["USGS:78dadde4-609a-40a9-8919-8c3c3f1c2242","design floods","environment","flood recurrence interval","floods","floodwater retarding structures","frequency analysis","generalized skew map","geoscientificInformation","inlandWaters","natural flow","peak discharge","regression analysis,","regulated flow","small watersheds","storm runoff","surface runoff","ungaged watersheds"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-102.9933, 33.4770, -93.7089, 38.0334","theme":["geospatial"],"title":"Generalized peak skew coefficients for Oklahoma, 1961-1990 base period."},"description":"This digital-map data set consists of a grid of generalized skew\ncoefficients of logarithms of annual maximum streamflow for\nOklahoma streams less than or equal to 2,510 square miles in\ndrainage area. This grid of skew coefficients is taken from figure\n11 of the Tortorelli and Bergman, 1985 report, \"Techniques for\nestimating flood peak discharges for unregulated streams and\nstreams regulated by small floodwater retarding structures in\nOklahoma,\" U.S. Geological Survey Water-Resources Investigations\nReport 84-4358. The skew coefficients were used to develop\npeak-flow regression equations in the Tortorelli, 1997 report,\n\"Techniques for estimating peak-streamflow frequency for\nunregulated streams and streams regulated by small floodwater\nretarding structures in Oklahoma,\" U.S. Geological Survey\nWater-Resources Investigations Report 97-4202. Only skew\ncoefficient values within Oklahoma are intended for use with the\nregression equations. To save disk space, the skew coefficient\nvalues have been multiplied by 100 and rounded to integers with two\nsignificant digits.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0df71a5b-110b-45ec-8148-c89b77dea18c","harvest_record_raw":"https://catalog.data.gov/harvest_record/0df71a5b-110b-45ec-8148-c89b77dea18c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_78dadde4-609a-40a9-8919-8c3c3f1c2242","keyword":["USGS:78dadde4-609a-40a9-8919-8c3c3f1c2242","design floods","environment","flood recurrence interval","floods","floodwater retarding structures","frequency analysis","generalized skew map","geoscientificInformation","inlandWaters","natural flow","peak discharge","regression analysis,","regulated flow","small watersheds","storm runoff","surface runoff","ungaged watersheds"],"last_harvested_date":"2026-09-17T00:50:09.840668","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":"generalized-peak-skew-coefficients-for-oklahoma-1961-1990-base-period","spatial_centroid":{"lat":35.29956,"lon":-99.27954},"spatial_shape":{"coordinates":[[[-102.9933,33.477],[-102.9933,38.0334],[-93.7089,38.0334],[-93.7089,33.477],[-102.9933,33.477]]],"type":"Polygon"},"theme":["geospatial"],"title":"Generalized peak skew coefficients for Oklahoma, 1961-1990 base period.","type":"dataset"},{"_score":7.7763767,"_sort":[1789606207696,7.7763767,5,"afd5d5fe-fe4c-4c44-8221-b4bbd5ceea12"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"John Brakebill","hasEmail":"mailto:jwbrakeb@usgs.gov"},"description":"Generalized lithology (rock type) and physiography based on\ngeologic formations were used to characterize hydrgeomorphic\nregions (HGMR) within the Chesapeake Bay watershed. These\nHGMRs were used in conjunction with existing data to assess\nthe significance of ground-water discharge as a source of\nnitrate load to nontidal streams in the Chesapeake Bay\nwatershed (Bachman and others, 1998). 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. These\nHGMRs were used in conjunction with existing data to assess\nthe significance of ground-water discharge as a source of\nnitrate load to nontidal streams in the Chesapeake Bay\nwatershed (Bachman and others, 1998). 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":7.534137,"_sort":[1789606206663,7.534137,2,"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. 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_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2f2a3706-51e6-422e-8ed1-6d1e871f30d3","harvest_record_raw":"https://catalog.data.gov/harvest_record/2f2a3706-51e6-422e-8ed1-6d1e871f30d3/raw","has_download":true,"has_spatial":true,"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"],"last_harvested_date":"2026-09-17T00:50:06.663126","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":"sir2012-5282-surficial-geology-hydrogeology-of-the-susquehanna-river-valley-fill-aquifer-s","spatial_centroid":{"lat":42.134592399999995,"lon":-75.6366826},"spatial_shape":{"coordinates":[[[-75.844489,41.950064],[-75.844489,42.411385],[-75.324973,42.411385],[-75.324973,41.950064],[-75.844489,41.950064]]],"type":"Polygon"},"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","type":"dataset"},{"_score":8.597971,"_sort":[1789606203727,8.597971,2,"58c32377-df31-48a0-9958-3c29b170acf7"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Roy Sando","hasEmail":"mailto:tsando@usgs.gov"},"description":"These data represent the thickness, in feet, of the glacial aquifer system in the Williston structural basin. \nThe data are presented as ASCII text files that can be converted to continuous raster format.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9B5X3OK","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.544f812b-f895-4c14-ad2f-838c844b1a4f.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_544f812b-f895-4c14-ad2f-838c844b1a4f","keyword":["Canada","Fox Hills aquifer","Groundwater","Groundwater availability","Powder River","USGS:544f812b-f895-4c14-ad2f-838c844b1a4f","United States","Williston River","Williston basin","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-126.29543832, 83.107949741, -78.500470669, 86.56918667","theme":["geospatial"],"title":"Thickness of the glacial aquifer system in the Williston structural basin"},"description":"These data represent the thickness, in feet, of the glacial aquifer system in the Williston structural basin. \nThe data are presented as ASCII text files that can be converted to continuous raster format.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c6bf76ab-1957-4fde-9e8b-f102a636979d","harvest_record_raw":"https://catalog.data.gov/harvest_record/c6bf76ab-1957-4fde-9e8b-f102a636979d/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_544f812b-f895-4c14-ad2f-838c844b1a4f","keyword":["Canada","Fox Hills aquifer","Groundwater","Groundwater availability","Powder River","USGS:544f812b-f895-4c14-ad2f-838c844b1a4f","United States","Williston River","Williston basin","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:50:03.727027","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":"thickness-of-the-glacial-aquifer-system-in-the-williston-structural-basin","spatial_centroid":{"lat":84.49244451259999,"lon":-107.1774512596},"spatial_shape":{"coordinates":[[[-126.29543832,83.107949741],[-126.29543832,86.56918667],[-78.500470669,86.56918667],[-78.500470669,83.107949741],[-126.29543832,83.107949741]]],"type":"Polygon"},"theme":["geospatial"],"title":"Thickness of the glacial aquifer system in the Williston structural basin","type":"dataset"},{"_score":7.269734,"_sort":[1789606193911,7.269734,2,"efffb5a2-a933-4daf-8dbf-2a4d1470ff7a"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Integrated Modeling &Prediction Division","hasEmail":"mailto:gs-w-model-data-management@usgs.gov"},"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":[{"@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 format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6e8a4874-2681-4451-bc06-bf984baa602f.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6e8a4874-2681-4451-bc06-bf984baa602f","keyword":["Ground water","Ground water contamination","Ground water pollution","Ground water susceptibility","Irrigation tailwater recovery","NAWQA","NRI","National Land Cover Data","National Resources Inventory","National Water-Quality Assessment Program","Nitrate","Nitrate concentration","Nonlinear model","Nutrients","USGS:6e8a4874-2681-4451-bc06-bf984baa602f","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-128.30785909, 22.73659812, -65.14338696, 51.857984","theme":["geospatial"],"title":"Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: 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 contamination","Ground water pollution","Ground water susceptibility","Irrigation tailwater recovery","NAWQA","NRI","National Land Cover Data","National Resources Inventory","National Water-Quality 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Survey","slug":"vulnerability-of-shallow-ground-water-and-drinking-water-wells-to-nitrate-in-the-united-st-b57f2","spatial_centroid":{"lat":34.385152472,"lon":-103.042070238},"spatial_shape":{"coordinates":[[[-128.30785909,22.73659812],[-128.30785909,51.857984],[-65.14338696,51.857984],[-65.14338696,22.73659812],[-128.30785909,22.73659812]]],"type":"Polygon"},"theme":["geospatial"],"title":"Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for irrigation tailwater recovery (gwava-s_twre)","type":"dataset"},{"_score":8.500562,"_sort":[1789606184588,8.500562,1,"716a2b53-9a8d-421f-a809-f26467d4cfac"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Andrew LaMotte","hasEmail":"mailto:alamotte@usgs.gov"},"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":[{"@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":5.704853,"_sort":[1789606148390,5.704853,2,"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":8.125166,"_sort":[1789606137958,8.125166,2,"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. 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Samples were collected between 1973 and 2001 and are provided for download.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P97KZQFV","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.95456880-0d8d-4398-b82e-674672bad2bc.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_95456880-0d8d-4398-b82e-674672bad2bc","keyword":["Arsenic","USGS:95456880-0d8d-4398-b82e-674672bad2bc","environment","geoscientificInformation","groundwater","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-158.631946, 25.39050, -66.991122, 68.143334","theme":["geospatial"],"title":"Map of Arsenic concentrations in groundwater of the United States"},"description":"The map graphic image at https://www.sciencebase.gov/catalog/file/get/63140561d34e36012efa2b7f?name=arsenic_map.png illustrates arsenic values, \nin micrograms per liter, for groundwater samples from about 31,000 wells and springs in 49 states compiled \nby the United States Geological Survey (USGS). 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Currently, \nirrigated acreage is estimated routinely for only a few basins in the study area and these acreages are \ncalculated and reported by township range section, quarter, and quarter-quarter. Satellite imagery from \nthe Landsat Thematic Mapper (TM) platform was used to delineate irrigated acreage for the BARCAS \nstudy area on a field by field basis. Six hundred and forty-three fields were delineated by interpreting \nsatellite data. The water source, irrigation system, crop type, and field activity were identified and \nverified through field reconnaissance. These data were integrated into the geodatabase and analyzed \nto develop reasonably accurate estimates of irrigated acreage for the 2000, 2002, and 2005 growing \nseasons by hydrographic area and sub-area. Estimated average annual potential evapotranspiration \nand average annual precipitation were incorporated into the geodatabase as ancillary data. Irrigated \nacreage in 2005 totaled nearly 32,000 acres ranging from less than 200 acres in Butte, Cave, Jakes, \nLong, and Tippett Valleys to 9,200 acres in Snake Valley. Cave, Irrigated acreage increased about 20 \npercent from 2000 to 2005, with Snake and White River Valleys experiencing the greatest increases. \nThe source for about 80 percent of irrigation water applied during drier years is ground water pumped \nfrom wells. About 80 percent of irrigation water applied in 2005 was through sprinkler systems, and \nabout 20 percent was through flood systems. Fields planted in alfalfa accounted for about 88 percent \nof the irrigated acreage.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9VABI3K","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.ef4ae96f-9ddf-4f5b-90b9-dfe460b13d4f.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ef4ae96f-9ddf-4f5b-90b9-dfe460b13d4f","keyword":["Agriculture","Butte Valley","Cave Valley","Inland waters","Irrigation","Jakes Valley","Lake Valley","Little Smoky Valley","Long Valley","Nevada","Newark Valley","Snake Valley","Southwest United States","Spring Valley","Steptoe Valley","Tippett Valley","USGS:ef4ae96f-9ddf-4f5b-90b9-dfe460b13d4f","Utah","White River Valley","agriculture","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-116.034926, 37.987253, -113.676000, 40.302025","theme":["geospatial"],"title":"Irrigated Acreage Geodatabase Within the Basin and Range Carbonate-Rock Aquifer System, White Pine County, Nevada, and Adjacent Areas in Nevada and Utah"},"description":"Accurate delineations of irrigated acreage are critical in the development of water-use estimates and in \ndetermining an accurate water budget for the hydrographic basins of the BARCAS study area. Currently, \nirrigated acreage is estimated routinely for only a few basins in the study area and these acreages are \ncalculated and reported by township range section, quarter, and quarter-quarter. Satellite imagery from \nthe Landsat Thematic Mapper (TM) platform was used to delineate irrigated acreage for the BARCAS \nstudy area on a field by field basis. Six hundred and forty-three fields were delineated by interpreting \nsatellite data. The water source, irrigation system, crop type, and field activity were identified and \nverified through field reconnaissance. These data were integrated into the geodatabase and analyzed \nto develop reasonably accurate estimates of irrigated acreage for the 2000, 2002, and 2005 growing \nseasons by hydrographic area and sub-area. Estimated average annual potential evapotranspiration \nand average annual precipitation were incorporated into the geodatabase as ancillary data. Irrigated \nacreage in 2005 totaled nearly 32,000 acres ranging from less than 200 acres in Butte, Cave, Jakes, \nLong, and Tippett Valleys to 9,200 acres in Snake Valley. Cave, Irrigated acreage increased about 20 \npercent from 2000 to 2005, with Snake and White River Valleys experiencing the greatest increases. \nThe source for about 80 percent of irrigation water applied during drier years is ground water pumped \nfrom wells. About 80 percent of irrigation water applied in 2005 was through sprinkler systems, and \nabout 20 percent was through flood systems. Fields planted in alfalfa accounted for about 88 percent \nof the irrigated acreage.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a5e6702c-3a2e-43a9-87a7-706a751f2f0c","harvest_record_raw":"https://catalog.data.gov/harvest_record/a5e6702c-3a2e-43a9-87a7-706a751f2f0c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ef4ae96f-9ddf-4f5b-90b9-dfe460b13d4f","keyword":["Agriculture","Butte Valley","Cave Valley","Inland waters","Irrigation","Jakes Valley","Lake Valley","Little Smoky Valley","Long Valley","Nevada","Newark Valley","Snake Valley","Southwest United States","Spring Valley","Steptoe Valley","Tippett Valley","USGS:ef4ae96f-9ddf-4f5b-90b9-dfe460b13d4f","Utah","White River Valley","agriculture","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:47:48.405799","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":"irrigated-acreage-geodatabase-within-the-basin-and-range-carbonate-rock-aquifer-system-whi","spatial_centroid":{"lat":38.9131618,"lon":-115.0913556},"spatial_shape":{"coordinates":[[[-116.034926,37.987253],[-116.034926,40.302025],[-113.676,40.302025],[-113.676,37.987253],[-116.034926,37.987253]]],"type":"Polygon"},"theme":["geospatial"],"title":"Irrigated Acreage Geodatabase Within the Basin and Range Carbonate-Rock Aquifer System, White Pine County, Nevada, and Adjacent Areas in Nevada and Utah","type":"dataset"},{"_score":8.086683,"_sort":[1789606052510,8.086683,1,"3bc82bcd-ed96-4664-aa9b-a08978ff7b43"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Joann Dixon","hasEmail":"mailto:jdixon@usgs.gov"},"description":"Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer \nsystem were developed to define an updated hydrogeologic framework as part of the U.S. \nGeological Survey Groundwater Resources Program. This feature class contains a line \nrepresenting the approximate updip extent of the Floridan aquifer system.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9LP56LI","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.c40df16a-0a64-4792-9625-ad8973be4744.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c40df16a-0a64-4792-9625-ad8973be4744","keyword":["Alabama","FAS","Florida","Floridan aquifer system","Geology","Georgia","Hydrogeology","Regional Groundwater Availability Study","South Carolina","Stratigraphy","USGS","USGS:c40df16a-0a64-4792-9625-ad8973be4744","United States Geological Survey","contour","environment","geoscientificInformation","inlandWaters","thickness"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-88.568464, 31.310805, -79.243834, 33.752337","theme":["geospatial"],"title":"DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Clipped Updip extent line of the Floridan aquifer system"},"description":"Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer \nsystem were developed to define an updated hydrogeologic framework as part of the U.S. \nGeological Survey Groundwater Resources Program. 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Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents the area of bedrock geology types in square meters compiled for every catchment of \nMRB_E2RF1 catchments for Major River Basins (MRBs, Crawford and others, 2006). The source data set is the \n\"Geology of the Conterminous United States at 1:2,500,000 Scale--A Digital Representation of the 1974 P.B. King \nand H.M. Beikman Map\" (Schuben and others, 1994).\n\t\t\nThe MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's \n(USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality \nmodeling (Nolan and others, 2002; Brakebill and others, 2011).\n\t\t\nData were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England \nand Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, \nand Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf \n(MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and \nCalifornia (MRB8).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9ZBEQLZ","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.2c9980c3-d166-44ea-8896-72438cf02e77.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_2c9980c3-d166-44ea-8896-72438cf02e77","keyword":["Bedrock Geology","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","MRB_E2RF1","MRB_E2RF1WS","Major River Basin","Missouri","NAWQA","NEMA","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:2c9980c3-d166-44ea-8896-72438cf02e77","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 MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology"},"description":"This tabular data set represents the area of bedrock geology types in square meters compiled for every catchment of \nMRB_E2RF1 catchments for Major River Basins (MRBs, Crawford and others, 2006). 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Beikman Map\" (Schuben and others, 1994).\n\t\t\nThe MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's \n(USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality \nmodeling (Nolan and others, 2002; Brakebill and others, 2011).\n\t\t\nData were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England \nand Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, \nand Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf \n(MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and \nCalifornia (MRB8).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1dacd570-c1ca-4e98-bf3e-80fe93fff19d","harvest_record_raw":"https://catalog.data.gov/harvest_record/1dacd570-c1ca-4e98-bf3e-80fe93fff19d/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_2c9980c3-d166-44ea-8896-72438cf02e77","keyword":["Bedrock Geology","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","MRB_E2RF1","MRB_E2RF1WS","Major River Basin","Missouri","NAWQA","NEMA","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:2c9980c3-d166-44ea-8896-72438cf02e77","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-17T00:46:48.319712","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":"attributes-for-mrb_e2rf1-catchments-by-major-river-basins-in-the-conterminous-united-state-8150d","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 MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology","type":"dataset"},{"_score":9.326992,"_sort":[1789605993788,9.326992,1,"321d5d2c-f471-4175-b11b-30bfcc6736b3"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Charles Cannon","hasEmail":"mailto:ccannon@usgs.gov"},"description":"The Umpqua River drains 12,103 square kilometers (4,673 square miles) in southwest Oregon \nbefore flowing into the Pacific Ocean at Winchester Bay near the city of Reedsport. 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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. 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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":7.3524876,"_sort":[1789605874113,7.3524876,2,"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). 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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":6.5772686,"_sort":[1789605796015,6.5772686,3,"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. 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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 stream is heavily influenced by urban runoff and shows characteristic \nflashy streamflow and poor water quality commonly associated with urban streams. This data \nset represents the geomorphic floodplain as derived from light detection and ranging (LiDAR) \ndata and aerial photographic imagery. The floodplain represents current conditions including \nboth anthropogenic alterations and natural historic floodplain features.\n\t\t\nThe floodplain dataset is divided into 13 reach segments and attributed with corresponding \norganic material load estimates for each reach.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P91SXINX","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.d6e5007b-ea45-4dc7-8ca9-9f09e6ed450d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d6e5007b-ea45-4dc7-8ca9-9f09e6ed450d","keyword":["Fanno Creek","Oregon","Tualatin River","USGS","USGS:d6e5007b-ea45-4dc7-8ca9-9f09e6ed450d","biomass","creek","environment","floodplain","geomorphology","geoscientificInformation","inlandWaters","land cover","organic matter","stream reaches"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-129.351779, 39.745375, -109.448056, 55.265926","theme":["geospatial"],"title":"Geomorphic Floodplain with Organic Matter (Biomass) Estimates for Fanno Creek, Oregon"},"description":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland \nmetropolitan area. 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