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Earth observing imagery sources used in this data release include (but are not limited to) optical imagery collections by: (1) the European Space Agency's Sentinel-2 mission and (2) the Plant Labs Planet Scope constellation, as well as synthetic aperture radar imagery collected by: (1) European Space Agency's Sentinel-1 mission; (2) the DLR (German Aerospace Agency) TerraSAR-X satellite (X-band), and (3) the Umbra Space satellite constellation (X-band).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a261d48f-5543-4e67-9f0d-798e207cb96b","harvest_record_raw":"https://catalog.data.gov/harvest_record/a261d48f-5543-4e67-9f0d-798e207cb96b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC557","keyword":["Alaska","Animals/vertebrates","Biota","Cape Serdtse-Kamen","Carnivores","Chukchi Sea","Chukotka","Coastal ecosystems","Environment","Field inventory and monitoring","Image collections","Mammals","Marine ecosystems","Marine mammals","Migratory species","Odobenus rosmarus divergens","Pacific Walrus","Pinniped","Point Lay","Remote sensing","Russia","Satellite imagery","Seals/sea lions/walruses","Seasonal distribution","USGS:ASC557","Walrus","Wildlife"],"last_harvested_date":"2026-08-10T23:00:26.639998","organization":{"aliases":["dept"],"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"},"popularity":5,"publisher":"U.S. Geological Survey","slug":"pacific-walrus-coastal-haulout-occurrences-interpreted-from-satellite-imagery-2023","spatial_centroid":{"lat":67.97999999999999,"lon":-168.21999999999997},"spatial_shape":{"coordinates":[[[-171.7,66.9],[-171.7,69.6],[-163.0,69.6],[-163.0,66.9],[-171.7,66.9]]],"type":"Polygon"},"theme":["geospatial"],"title":"SUPERSEDED: Pacific Walrus Coastal Haulout Occurrences Interpreted from Satellite Imagery, 2023"},{"_score":6.003027,"_sort":[1786402592323,6.003027,14,"d4f53c92-ef00-4049-9da6-8fab8b7501a3"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey, Alaska Science Center","hasEmail":"mailto:gs-ak_asc_datamanagers@usgs.gov"},"description":"These data are daily summary checklists of all bird species observed at U.S. Geological Survey, Alaska Science Center (ASC) field camps. 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Or in other words, with increasing depth these paths \nof groundwater flow travel further from divides to point of discharge which are to \nincreasingly larger streams of higher stream order.  \n\t  \nDSD \u2013 Raster \u2013 Distance from Stream to Divide (DSD) rasters have cell values \nequal to the sum of the shortest distance to the stream or associated waterbody \nplus the shortest distance to the matching Thiessen divide. There are 9 rasters \nfor streams orders 1 through 9. Units are in meters.\n\t  \nLP \u2013 Raster -- the lateral position (LP) raster has cell values equal to the shortest \ndistance to the stream or associated waterbody divided by the DSD. There are 9 \nrasters for streams orders 1 through 9.\n\t  \nCombined, these two factors, DSD and LP, provide a measure or description of \npotential distance of groundwater flow to any location along the groundwater flow \npath.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9ST73KV","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.72bead86-13ef-47b8-9f0c-910061a33c37.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_72bead86-13ef-47b8-9f0c-910061a33c37","keyword":["Canada","Cycle 3","Groundwater","Hydrologic Position","Mexico","NAWQA","National Rasters","Statistical Predictors","USGS:72bead86-13ef-47b8-9f0c-910061a33c37","United States","Water Quality","environment","geoscientificInformation","inlandWaters"],"modified":"2025-08-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.8572, 23.2444, -65.3748, 51.5121","theme":["geospatial"],"title":"National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling"},"description":"Multi Order Hydrologic Position (MOHP) raster datasets: Distance from Stream to \nDivide (DSD) and Lateral Position (LP) have been produced nationally for the 48 \ncontiguous United States at a 30-meter resolution for stream orders 1 through 9.  \nThese data are available for testing as predictor variables for various regional and \nnational groundwater-flow and groundwater-quality statistical models. \n\t  \nThe concept behind MOHP is that for any given point on the earth\u2019s surface there \nis the potential for longer and longer groundwater flow paths as one goes deeper \nand deeper beneath the land surface.  These increasing depths correspond to \nincreasing stream orders.  Or in other words, with increasing depth these paths \nof groundwater flow travel further from divides to point of discharge which are to \nincreasingly larger streams of higher stream order.  \n\t  \nDSD \u2013 Raster \u2013 Distance from Stream to Divide (DSD) rasters have cell values \nequal to the sum of the shortest distance to the stream or associated waterbody \nplus the shortest distance to the matching Thiessen divide. There are 9 rasters \nfor streams orders 1 through 9. Units are in meters.\n\t  \nLP \u2013 Raster -- the lateral position (LP) raster has cell values equal to the shortest \ndistance to the stream or associated waterbody divided by the DSD. 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OPP determines if ESA-listed species or their designated critical habitat may be affected by pesticide products. Pesticide products that \u201cmay affect\u201d an ESA-listed species or its designated critical habitat may be subject to additional regulation.     Species ranges represent anywhere an individual of the listed species could be found based on the best available information at the time of delineation. As defined in ESA, critical habitat delineates habitat characteristics in specific geographical areas and may be occupied or unoccupied by a threatened or endangered species at the time of listing. These areas must contain physical or biological features essential to conservation of a species and may require special management considerations or protection. Critical habitat may also include areas that are not currently occupied by the species but that may be needed for their recovery. Range areas represent more generalized habitat where species are or could be found based on the best available information. For some species, best available information is based on site specific surveys. For others, it will be historical location information based on political boundaries. These areas are, therefore, less geographically explicit than critical habitat. Consideration of both the species range and critical habitat ensures the conservation of the ecosystems upon which endangered and threatened species depend.    To support EPA\u2019s implementation of ESA, critical habitat and range data for species listed under ESA Section 7 were obtained by the US EPA from the USFWS Environmental Conservation Online System (ECOS) database in November 2020. These data were supplemented with areas provided by NOAA\u2019s National Marine Fisheries Service (NMFS) where NOAA has species authority. For NMFS species not found in either location, a request was made directly to the NMFS scientists. The last download of the species locations occurred in November 2020.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Critical_Habitat/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","accessURL":"https://epa.maps.arcgis.com/home/item.html?id=d46156cc921d4b41923c70c280b82458","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA Geoplatform Item page"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/ocspp-geo-records_Endangered_Species_Range_Areas.xml","issued":"2022-10-01T00:00:00.000+00:00","keyword":["United States","Agriculture","Biology","Conservation","Ecology","Ecosystem","Environment","Exposure","Hazards","Land","Modeling","Pesticides","Regulatory","Risk","Toxics","Water","020:083","Downloadable Data"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2022-10-01T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Office of Pesticide Programs"},"spatial":"180.00002,-85.470289,-180.00002,89.987675","theme":["geospatial"],"title":"Endangered Species Range Areas"},"description":"The Endangered Species Act (ESA) provides a program for the conservation of threatened and endangered species and the habitats in which they are found. The U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service of U.S. National Oceanic and Atmospheric Organization (NMFS/NOAA) lead federal implementation of the ESA, though they are supported by other federal agencies, including the U.S. Environmental Protection Agency (US EPA). Section 7 of the ESA directs all Federal agencies to conserve endangered and threatened species and to use their authorities to ensure actions do not jeopardized the further existence of threatened and endangered species or adversely modify designated critical habitats. As part of the Section 7 coordination, federal agencies work with USFWS and NMFS to identify species found within the jurisdiction of the United that could be affected by actions carried out by the agency.    Of note, the US EPA\u2019s Office of Pesticide Programs (OPP) is responsible for ensuring that Agency actions under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) are in compliance with ESA. OPP determines if ESA-listed species or their designated critical habitat may be affected by pesticide products. Pesticide products that \u201cmay affect\u201d an ESA-listed species or its designated critical habitat may be subject to additional regulation.     Species ranges represent anywhere an individual of the listed species could be found based on the best available information at the time of delineation. As defined in ESA, critical habitat delineates habitat characteristics in specific geographical areas and may be occupied or unoccupied by a threatened or endangered species at the time of listing. These areas must contain physical or biological features essential to conservation of a species and may require special management considerations or protection. Critical habitat may also include areas that are not currently occupied by the species but that may be needed for their recovery. Range areas represent more generalized habitat where species are or could be found based on the best available information. For some species, best available information is based on site specific surveys. For others, it will be historical location information based on political boundaries. These areas are, therefore, less geographically explicit than critical habitat. Consideration of both the species range and critical habitat ensures the conservation of the ecosystems upon which endangered and threatened species depend.    To support EPA\u2019s implementation of ESA, critical habitat and range data for species listed under ESA Section 7 were obtained by the US EPA from the USFWS Environmental Conservation Online System (ECOS) database in November 2020. These data were supplemented with areas provided by NOAA\u2019s National Marine Fisheries Service (NMFS) where NOAA has species authority. For NMFS species not found in either location, a request was made directly to the NMFS scientists. The last download of the species locations occurred in November 2020.","distribution_titles":["EPA GeoPlatform Hosted Feature Service","EPA Geoplatform Item page"],"harvest_record":"https://catalog.data.gov/harvest_record/a0fac5ef-d298-427d-978c-78a23963806b","harvest_record_raw":"https://catalog.data.gov/harvest_record/a0fac5ef-d298-427d-978c-78a23963806b/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/a0fac5ef-d298-427d-978c-78a23963806b/transformed","has_download":false,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/ocspp-geo-records_Endangered_Species_Range_Areas.xml","keyword":["United States","Agriculture","Biology","Conservation","Ecology","Ecosystem","Environment","Exposure","Hazards","Land","Modeling","Pesticides","Regulatory","Risk","Toxics","Water","020:083","Downloadable Data"],"last_harvested_date":"2026-08-10T05:52:32.988633","organization":{"aliases":["US"],"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"popularity":9,"publisher":"U.S. Environmental Protection Agency, Office of Pesticide Programs","slug":"endangered-species-range-areas","spatial_centroid":null,"spatial_shape":{"coordinates":[[[180.00002,-85.470289],[180.00002,89.987675],[-180.00002,89.987675],[-180.00002,-85.470289],[180.00002,-85.470289]]],"type":"Polygon"},"theme":["geospatial"],"title":"Endangered Species Range Areas"},{"_score":7.5864635,"_sort":[1786320921050,7.5864635,5,"ca01b376-3dfd-4a64-a0c0-1c29658801fa"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Mackenzie Keith","hasEmail":"mailto:mkeith@usgs.gov"},"description":"The Coquille River system is an unregulated system that encompasses 2,745 square kilometers of southwestern \nOregon and flows into the Pacific Ocean near the town of Bandon, Oregon. 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). Digital orthophotographs from 2005 and 2009 are publicly available.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9NYBTPI","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.d873726e-4563-4c42-91dc-33cde3d73195.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d873726e-4563-4c42-91dc-33cde3d73195","keyword":["Coos County","Coquille River","Curry County","Middle Fork Coquille River","North Fork Coquille River","Oregon Coast Range","South Fork Coquille River","USGS:d873726e-4563-4c42-91dc-33cde3d73195","channel stability","environment","fluvial geomorphology","geoscientificInformation","historical channel change","inlandWaters","sediment transport"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-124.432653, 42.872866, -123.992202, 43.203918","theme":["geospatial"],"title":"Channel centerline for the Coquille River, Oregon in 1939"},"description":"The Coquille River system is an unregulated system that encompasses 2,745 square kilometers of southwestern \nOregon and flows into the Pacific Ocean near the town of Bandon, Oregon. 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). Digital orthophotographs from 2005 and 2009 are publicly available.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2d28ca54-76e4-4b50-94e4-688dfbc8e04f","harvest_record_raw":"https://catalog.data.gov/harvest_record/2d28ca54-76e4-4b50-94e4-688dfbc8e04f/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d873726e-4563-4c42-91dc-33cde3d73195","keyword":["Coos County","Coquille River","Curry County","Middle Fork Coquille River","North Fork Coquille River","Oregon Coast Range","South Fork Coquille River","USGS:d873726e-4563-4c42-91dc-33cde3d73195","channel stability","environment","fluvial geomorphology","geoscientificInformation","historical channel change","inlandWaters","sediment transport"],"last_harvested_date":"2026-08-10T00:15:21.050901","organization":{"aliases":["dept"],"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"},"popularity":5,"publisher":"U.S. Geological Survey","slug":"channel-centerline-for-the-coquille-river-oregon-in-1939","spatial_centroid":{"lat":43.0052868,"lon":-124.25647260000001},"spatial_shape":{"coordinates":[[[-124.432653,42.872866],[-124.432653,43.203918],[-123.992202,43.203918],[-123.992202,42.872866],[-124.432653,42.872866]]],"type":"Polygon"},"theme":["geospatial"],"title":"Channel centerline for the Coquille River, Oregon in 1939"},{"_score":8.435813,"_sort":[1786320910378,8.435813,1,"c994ead9-b850-443c-aff8-cfb42654b9db"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Daniel T. Snyder","hasEmail":"mailto:dtsnyder@usgs.gov"},"description":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. \nThe original images were obtained from the U.S. Geological Survey Earth \nResources Observation and Science Center (EROS). 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. More information on the Landsat program can be found online at \nhttp://landsat.usgs.gov/.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P910SBW4","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.43a3dee6-28f1-4958-ad6f-a70146ae6709.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_43a3dee6-28f1-4958-ad6f-a70146ae6709","keyword":["Klamath Basin Restoration Agreement","Landsat","Oregon","Sprague River Basin","USGS:43a3dee6-28f1-4958-ad6f-a70146ae6709","Upper Klamath Basin","Williamson River Basin","Wood River Basin","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-123.382600, 41.991760, -120.601579, 43.492919","theme":["geospatial"],"title":"Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31"},"description":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. \nThe original images were obtained from the U.S. Geological Survey Earth \nResources Observation and Science Center (EROS). 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More information on the Landsat program can be found online at \nhttp://landsat.usgs.gov/.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/75b2c620-2720-4639-9dcf-7dbe91529720","harvest_record_raw":"https://catalog.data.gov/harvest_record/75b2c620-2720-4639-9dcf-7dbe91529720/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_43a3dee6-28f1-4958-ad6f-a70146ae6709","keyword":["Klamath Basin Restoration Agreement","Landsat","Oregon","Sprague River Basin","USGS:43a3dee6-28f1-4958-ad6f-a70146ae6709","Upper Klamath Basin","Williamson River Basin","Wood River Basin","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-10T00:15:10.378404","organization":{"aliases":["dept"],"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"},"popularity":1,"publisher":"U.S. Geological Survey","slug":"upper-klamath-basin-landsat-image-for-july-28-2004-path-44-row-31","spatial_centroid":{"lat":42.5922236,"lon":-122.2701916},"spatial_shape":{"coordinates":[[[-123.3826,41.99176],[-123.3826,43.492919],[-120.601579,43.492919],[-120.601579,41.99176],[-123.3826,41.99176]]],"type":"Polygon"},"theme":["geospatial"],"title":"Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31"},{"_score":5.822708,"_sort":[1786320907386,5.822708,3,"6fb3691a-55bc-462e-82ed-7db02769e05c"],"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 area of Hydrologic Landscape Regions (HLR) compiled for every catchment \nof NHDPlus for the conterminous United States. The source data set is a 100-meter version of Hydrologic \nLandscape Regions of the United States (Wolock, 2003). HLR groups watersheds on the basis of similarities \nin land-surface form, geologic texture, and climate characteristics.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates \nmany of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset \n(NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, \nnaming, and value-added attributes (VAAs). 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.  MRB8, covering California River basins, contains NHDPlus \nProduction Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9142BM0","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.93b2f75c-33bc-4cae-b48e-41b6f85d2e39.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_93b2f75c-33bc-4cae-b48e-41b6f85d2e39","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Hydrologic landscape regions","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:93b2f75c-33bc-4cae-b48e-41b6f85d2e39","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: Hydrologic Landscape Regions"},"description":"This data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every catchment \nof NHDPlus for the conterminous United States. 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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.  MRB8, covering California River basins, contains NHDPlus \nProduction Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2a952601-f29d-415f-af76-ca51ac2aa2ab","harvest_record_raw":"https://catalog.data.gov/harvest_record/2a952601-f29d-415f-af76-ca51ac2aa2ab/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_93b2f75c-33bc-4cae-b48e-41b6f85d2e39","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Hydrologic landscape regions","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and 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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.  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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/cbed85c4-e7f8-4abf-8276-81b054eb0c95","harvest_record_raw":"https://catalog.data.gov/harvest_record/cbed85c4-e7f8-4abf-8276-81b054eb0c95/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":"2026-08-10T00:14:59.616540","organization":{"aliases":["dept"],"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"},"popularity":1,"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."},{"_score":7.871929,"_sort":[1786320897437,7.871929,7,"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/53bbacac-908a-4e5f-8c6d-3c18548843af","harvest_record_raw":"https://catalog.data.gov/harvest_record/53bbacac-908a-4e5f-8c6d-3c18548843af/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":"2026-08-10T00:14:57.437788","organization":{"aliases":["dept"],"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"},"popularity":7,"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."},{"_score":7.7391315,"_sort":[1786320896242,7.7391315,4,"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/7143df6e-2276-4d5c-ac8a-40ad4bf6150f","harvest_record_raw":"https://catalog.data.gov/harvest_record/7143df6e-2276-4d5c-ac8a-40ad4bf6150f/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 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layer for a national\nmodel to predict nitrate concentration in shallow ground water.\nNolan and Hitt (2006) developed two national models to predict\ncontamination of ground water by nonpoint sources of\nnitrate. The nonlinear approach to national-scale Ground-WAter\nVulnerability Assessment (GWAVA) uses components representing\nnitrogen (N) sources, transport, and attenuation.\nOne model (GWAVA-S) predicts nitrate contamination of shallow\n(typically less than 5 meters deep), recently recharged ground\nwater, which may or may not be used for drinking.  The other\n(GWAVA-DW) predicts ambient nitrate concentration in deeper\nsupplies used for drinking.\nThis data set is one of 17 data sets (1 output data set and 16\ninput data sets) associated with the GWAVA-S model. Full details\nof the model development are in Nolan and Hitt (2006).\nFor inputs to the model, spatial attributes representing 16\nnitrogen loading and transport and attenuation factors were\ncompiled as raster data sets (1-km by 1-km grid cell size) for\nthe conterminous United States (see table 1).\n>Table 1.-- Parameters of nonlinear regression model for nitrate in shallow\n>           ground water (GWAVA-S) and corresponding input spatial data sets.\n>           [kg, kilograms; km2, square kilometers.]\n>\n>Nitrogen Source Factors                  Data Set Name\n>   1 farm fertilizer (kg/hectare)        gwava-s_ffer\n>   2 confined manure (kg/hectare)        gwava-s_conf\n>   3 orchards/vineyards (percent)        gwava-s_orvi\n>   4 population density  (people/km2)    gwava-s_popd\n>   5 cropland/pasture/fallow (percent)   gwava-s_crpa\n>\n>Transport to Aquifer Factors\n>   6 water input (km2/cm)                gwava-s_wtin\n>   7 carbonate rocks (yes/no)            gwava-s_crox\n>   8 basalt and volcanic rocks (yes/no)  gwava-s_vrox\n>   9 drainage ditch (km2)                gwava-s_ddit\n>  10 slope (percent x 1000)              gwava-s_slop\n>  11 glacial till (yes/no)               gwava-s_gtil\n>  12 clay sediment (percent x 1000)      gwava-s_clay\n>\n>Attenuation Factors\n>  13 fresh surface water withdrawal      gwava-s_swus\n>     for irrigation (megaliters/day)\n>  14 irrigation tailwater recovery (km2) gwava-s_twre\n>  15 histosol soil type (percent)        gwava-s_hist\n>  16 wetlands (percent)                  gwava-s_wetl\n\"Farm fertilizer\" is the average annual nitrogen input from\ncommercial fertilizer applied to agricultural lands, 1992-2001, in\nkilograms per hectare.\n\"Confined manure\" is the average annual nitrogen input from\nconfined animal manure, 1992 and 1997, in kilograms per\nhectare.\n\"Orchards/vineyards\" is the percent of orchards/vineyards land\ncover classification.\n\"Population density\" is 1990 block group population density, in\npeople per square kilometer.\n\"Cropland/pasture/fallow\" is the percent of\ncropland/pasture/fallow land cover classifications.\n\"Water input\" is the ratio of the total area of irrigated land\nto precipitation, in square kilometers per centimeter.\n\"Carbonate rocks\" is the presence or absence of Valley and Ridge\ncarbonate rocks.\n\"Basalt and volcanic rocks\" is the presence or absence of basalt\nand volcanic rocks.\n\"Drainage ditch\" is the area of National Resources Inventory surface\ndrainage, field ditch conservation practice, in square kilometers.\n\"Slope\" is the soil surface slope, in percent times 1000.\n\"Glacial till\" is the presence or absence of poorly sorted\nglacial till east of the Rocky Mountains.\n\"Clay sediment\" is the amount of clay sediment in the soil, in\npercent times 1000.\n\"Fresh surface water withdrawal for irrigation\" is the amount of\nfresh surface water withdrawal for irrigation, in megaliters per day.\n\"Irrigation tailwater recovery\" is the area of National\nResources Inventory irrigation system, tailwater recovery\nconservation practice, in square kilometers.\n\"Histosol soil type\" is the amount of histosols soil taxonomic\norder, in percent.\n\"Wetlands\" is the percent of woody wetlands and emergent\nherbaceous wetlands land cover classifications.\nReference cited:\nNolan, B.T. and Hitt, K.J., 2006, Vulnerability of shallow\nground water and drinking-water wells to nitrate in the United\nStates: Environmental Science and Technology, vol. 40, no. 24,\npages 7834-7840.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P96A3C11","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original 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Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for irrigation tailwater recovery (gwava-s_twre)"},"description":"This data set represents the area of National Resources\nInventory irrigation system, tailwater recovery conservation\npractice, in square kilometers, in the conterminous United\nStates.\nThe data set was used as an input data layer for a national\nmodel to predict nitrate concentration in shallow ground water.\nNolan and Hitt (2006) developed two national models to predict\ncontamination of ground water by nonpoint sources of\nnitrate. The nonlinear approach to national-scale Ground-WAter\nVulnerability Assessment (GWAVA) uses components representing\nnitrogen (N) sources, transport, and attenuation.\nOne model (GWAVA-S) predicts nitrate contamination of shallow\n(typically less than 5 meters deep), recently recharged ground\nwater, which may or may not be used for drinking.  The other\n(GWAVA-DW) predicts ambient nitrate concentration in deeper\nsupplies used for drinking.\nThis data set is one of 17 data sets (1 output data set and 16\ninput data sets) associated with the GWAVA-S model. Full details\nof the model development are in Nolan and Hitt (2006).\nFor inputs to the model, spatial attributes representing 16\nnitrogen loading and transport and attenuation factors were\ncompiled as raster data sets (1-km by 1-km grid cell size) for\nthe conterminous United States (see table 1).\n>Table 1.-- Parameters of nonlinear regression model for nitrate in shallow\n>           ground water (GWAVA-S) and corresponding input spatial data sets.\n>           [kg, kilograms; km2, square kilometers.]\n>\n>Nitrogen Source Factors                  Data Set Name\n>   1 farm fertilizer (kg/hectare)        gwava-s_ffer\n>   2 confined manure (kg/hectare)        gwava-s_conf\n>   3 orchards/vineyards (percent)        gwava-s_orvi\n>   4 population density  (people/km2)    gwava-s_popd\n>   5 cropland/pasture/fallow (percent)   gwava-s_crpa\n>\n>Transport to Aquifer Factors\n>   6 water input (km2/cm)                gwava-s_wtin\n>   7 carbonate rocks (yes/no)            gwava-s_crox\n>   8 basalt and volcanic rocks (yes/no)  gwava-s_vrox\n>   9 drainage ditch (km2)                gwava-s_ddit\n>  10 slope (percent x 1000)              gwava-s_slop\n>  11 glacial till (yes/no)               gwava-s_gtil\n>  12 clay sediment (percent x 1000)      gwava-s_clay\n>\n>Attenuation Factors\n>  13 fresh surface water withdrawal      gwava-s_swus\n>     for irrigation (megaliters/day)\n>  14 irrigation tailwater recovery (km2) gwava-s_twre\n>  15 histosol soil type (percent)        gwava-s_hist\n>  16 wetlands (percent)                  gwava-s_wetl\n\"Farm fertilizer\" is the average annual nitrogen input from\ncommercial fertilizer applied to agricultural lands, 1992-2001, in\nkilograms per hectare.\n\"Confined manure\" is the average annual nitrogen input from\nconfined animal manure, 1992 and 1997, in kilograms per\nhectare.\n\"Orchards/vineyards\" is the percent of orchards/vineyards land\ncover classification.\n\"Population density\" is 1990 block group population density, in\npeople per square kilometer.\n\"Cropland/pasture/fallow\" is the percent of\ncropland/pasture/fallow land cover classifications.\n\"Water input\" is the ratio of the total area of irrigated land\nto precipitation, in square kilometers per centimeter.\n\"Carbonate rocks\" is the presence or absence of Valley and Ridge\ncarbonate rocks.\n\"Basalt and volcanic rocks\" is the presence or absence of basalt\nand volcanic rocks.\n\"Drainage ditch\" is the area of National Resources Inventory surface\ndrainage, field ditch conservation practice, in square kilometers.\n\"Slope\" is the soil surface slope, in percent times 1000.\n\"Glacial till\" is the presence or absence of poorly sorted\nglacial till east of the Rocky Mountains.\n\"Clay sediment\" is the amount of clay sediment in the soil, in\npercent times 1000.\n\"Fresh surface water withdrawal for irrigation\" is the amount of\nfresh surface water withdrawal for irrigation, in megaliters per day.\n\"Irrigation tailwater recovery\" is the area of National\nResources Inventory irrigation system, tailwater recovery\nconservation practice, in square kilometers.\n\"Histosol soil type\" is the amount of histosols soil taxonomic\norder, in percent.\n\"Wetlands\" is the percent of woody wetlands and emergent\nherbaceous wetlands land cover classifications.\nReference cited:\nNolan, B.T. and Hitt, K.J., 2006, Vulnerability of shallow\nground water and drinking-water wells to nitrate in the United\nStates: Environmental Science and Technology, vol. 40, no. 24,\npages 7834-7840.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ab3a9461-fde0-4bd9-b7c7-32ced662e6a1","harvest_record_raw":"https://catalog.data.gov/harvest_record/ab3a9461-fde0-4bd9-b7c7-32ced662e6a1/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6e8a4874-2681-4451-bc06-bf984baa602f","keyword":["Ground water","Ground water 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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/19088d45-577f-4dab-88f5-0d7f0553d8d8","harvest_record_raw":"https://catalog.data.gov/harvest_record/19088d45-577f-4dab-88f5-0d7f0553d8d8/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":"2026-08-10T00:14:31.599277","organization":{"aliases":["dept"],"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"},"popularity":2,"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"},{"_score":5.798978,"_sort":[1786320834520,5.798978,2,"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.  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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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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). The map graphic illustrates an updated version of figure 1 \nfrom Ryker (2001). Cited Reference: Ryker, S.J., Nov. 2001, Mapping arsenic in groundwater-- A real need, \nbut a hard problem: Geotimes Newsmagazine of the Earth Sciences, v. 46 no. 11, p. 34-36 at \nhttp://www.agiweb.org/geotimes/nov01/feature_Asmap.html. An excel tabular data file, a txt file, along with \na GIS shape file of arsenic concentrations (20,043 samples collected by the USGS) for a subset of the sites \nshown on the map. 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The studies by Harrill and others (1988) and Harrill and Prudic (1998) served as \nhistorical references used to support development of the transient ground-water model of Death Valley regional \nground-water flow system (DVRFS) completed in 2004 by the USGS (see \"Larger Work Citation\", Chapter A, \npages 9-10, for details).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9OWN40T","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.e7cf42b3-d525-455b-87f4-6f3adcce3ba4.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e7cf42b3-d525-455b-87f4-6f3adcce3ba4","keyword":["Amargosa Desert","Ash Meadows","California","California Valley","Chicago Valley","China Ranch","Clark County","Clayton Valley","Coal Valley","Death Valley","Death Valley regional ground-water flow system (DVRFS)","Esmeralda County","Eureka Valley","Franklin Lake","Franklin Well","Garden Valley","Inyo County","Kern County","Las Vegas Valley","Lincoln County","Mesquite Valley","Mineral County","Mono County","Nevada","Nevada Test Site","Nye County","Oasis Valley","Owlshead Mountains","Pahranagat Range","Pahrump Valley","Panamint Range","Penoyer Valley","Railroad Valley","Resting Spring","Saline Valley","San Bernardino County","Sarcobatus Flat","Sheep Range","Shoshone","Silurian Valley","Spring Mountains","Stewart Valley","Stone Cabin Valley","Tecopa","USGS:e7cf42b3-d525-455b-87f4-6f3adcce3ba4","Yucca Mountain","eastern California","environment","geoscientificInformation","ground water","ground-water flow system boundary","hydrogeolgy","hydrology","inlandWaters","southern Nevada","transient ground-water flow model"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-117.714973, 35.312480, -115.070737, 38.134115","theme":["geospatial"],"title":"Historical boundary of the Death Valley regional ground-water flow system by Harrill and Prudic (1998), for the Death Valley regional ground-water flow system study, Nevada and California"},"description":"This digital data set is a historical definition of the extent (approximately 42,600 square-kilometers) and lateral \nboundary of the Death Valley regional ground-water flow system (modified from Harrill and others, 1988; and \nHarrill and Prudic, 1998). 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The original data are from the Bureau of Economic Geology publication, \n\"Geologic Atlas of Texas, Sherman sheet\",  by J.H. McGowen, T.F. Hentz, D.E. Owen, \nM.K. Pieper, C.A. Shelby, and V.E. 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The original data are from the Bureau of Economic Geology publication, \n\"Geologic Atlas of Texas, Sherman sheet\",  by J.H. McGowen, T.F. Hentz, D.E. Owen, \nM.K. Pieper, C.A. Shelby, and V.E. 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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/708c4e2e-8e94-46eb-b8eb-339f1d0ab57a","harvest_record_raw":"https://catalog.data.gov/harvest_record/708c4e2e-8e94-46eb-b8eb-339f1d0ab57a/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":"2026-08-10T00:12:29.373410","organization":{"aliases":["dept"],"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"},"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"},{"_score":8.130515,"_sort":[1786320731681,8.130515,1,"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. This feature class contains a line \nrepresenting the approximate updip extent of the Floridan aquifer system.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3abd0795-61c1-4bd9-a61b-0a79bea6c80c","harvest_record_raw":"https://catalog.data.gov/harvest_record/3abd0795-61c1-4bd9-a61b-0a79bea6c80c/raw","has_download":true,"has_spatial":true,"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"],"last_harvested_date":"2026-08-10T00:12:11.681745","organization":{"aliases":["dept"],"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"},"popularity":1,"publisher":"U.S. Geological Survey","slug":"ds926-digital-surfaces-and-thicknesses-of-selected-hydrogeologic-units-of-the-floridan-aqu-49480","spatial_centroid":{"lat":32.2874178,"lon":-84.83861200000001},"spatial_shape":{"coordinates":[[[-88.568464,31.310805],[-88.568464,33.752337],[-79.243834,33.752337],[-79.243834,31.310805],[-88.568464,31.310805]]],"type":"Polygon"},"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"},{"_score":5.870101,"_sort":[1786320680982,5.870101,3,"99ee1cca-4315-4e0d-8dae-5a8cc886afc0"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. 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. 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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/76025145-bd2f-44ba-8fa6-f6f8887b8119","harvest_record_raw":"https://catalog.data.gov/harvest_record/76025145-bd2f-44ba-8fa6-f6f8887b8119/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":"2026-08-10T00:09:07.703662","organization":{"aliases":["dept"],"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"},"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"},{"_score":7.3984714,"_sort":[1786320540477,7.3984714,4,"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/048e1ae2-1142-46e3-a956-04f7245879e7","harvest_record_raw":"https://catalog.data.gov/harvest_record/048e1ae2-1142-46e3-a956-04f7245879e7/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":"2026-08-10T00:08:50.635008","organization":{"aliases":["dept"],"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"},"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"},{"_score":6.8120375,"_sort":[1786320456713,6.8120375,2,"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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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/f1ae0204-a811-4e07-92e9-3e24dc3acb63","harvest_record_raw":"https://catalog.data.gov/harvest_record/f1ae0204-a811-4e07-92e9-3e24dc3acb63/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_95e20cc4-52ef-46f5-8065-fca5055def34","keyword":["Beaver River alluvial and terrace aquifer","Beaver alluvial and terrace aquifer","North Canadian River alluvial and terrace aquifer","North Canadian alluvial and terrace aquifer","USGS:95e20cc4-52ef-46f5-8065-fca5055def34","alluvial and terrace aquifer","alluvial aquifer","alluvium","aquifers","environment","geoscientificInformation","ground water","ground-water recharge","ground-water vulnerability","groundwater","groundwater vulnerability","inlandWaters","recharge","recharge rate","terrace","terrace aquifer","terrace deposit"],"last_harvested_date":"2026-08-10T00:07:36.713344","organization":{"aliases":["dept"],"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"},"popularity":2,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-alluvial-and-terrace-deposi-04f49","spatial_centroid":{"lat":36.41542,"lon":-99.39847999999999},"spatial_shape":{"coordinates":[[[-99.965,36.0439],[-99.965,36.9727],[-98.5487,36.9727],[-98.5487,36.0439],[-99.965,36.0439]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the Beaver-North Canadian River from the panhandle to Canton Lake in northwestern Oklahoma"},{"_score":8.421745,"_sort":[1786320448550,8.421745,2,"6aaddf1e-a073-4a99-a351-4a2ceee39ac0"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Mark F. Becker","hasEmail":"mailto:mfbecker@usgs.gov"},"description":"This digital data set consists of contours for predevelopment\nwater-level elevations for the High Plains aquifer in the\ncentral United States.  The High Plains aquifer extends from\nsouth of 32 degrees to almost 44 degrees north latitude and from\n96 degrees 30 minutes to 106 degrees west longitude.  The\noutcrop area covers 174,000 square miles and is present in\nColorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota,\nTexas, and Wyoming.\nThis digital data set was created by digitizing the contours for\npredevelopment water-level elevations from a 1:1,000,000-scale\nbase map created by the U.S. Geological Survey High Plains\nRegional Aquifer-System Analysis (RASA) project (Gutentag, E.D.,\nHeimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984,\nGeohydrology of the High Plains aquifer in parts of Colorado,\nKansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and\nWyoming: U.S. Geological Survey Professional Paper 1400-B, 63\np.) The data are not intended for use at scales larger than\n1:1,000,000.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9WUJV3R","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.f8960338-5416-4d68-9f42-bc48cdda2156.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_f8960338-5416-4d68-9f42-bc48cdda2156","keyword":["Great Plains region","High Plains","High Plains aquifer","Ogallala Formation","Ogallala aquifer","USGS:f8960338-5416-4d68-9f42-bc48cdda2156","aquifer boundary","aquifers","environment","geoscientificInformation","ground water","groundwater","inlandWaters","western U.S."],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-105.46697315, 31.81224042, -96.47898317, 43.57658376","theme":["geospatial"],"title":"Digital map of predevelopment water levels for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"description":"This digital data set consists of contours for predevelopment\nwater-level elevations for the High Plains aquifer in the\ncentral United States.  The High Plains aquifer extends from\nsouth of 32 degrees to almost 44 degrees north latitude and from\n96 degrees 30 minutes to 106 degrees west longitude.  The\noutcrop area covers 174,000 square miles and is present in\nColorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota,\nTexas, and Wyoming.\nThis digital data set was created by digitizing the contours for\npredevelopment water-level elevations from a 1:1,000,000-scale\nbase map created by the U.S. Geological Survey High Plains\nRegional Aquifer-System Analysis (RASA) project (Gutentag, E.D.,\nHeimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984,\nGeohydrology of the High Plains aquifer in parts of Colorado,\nKansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and\nWyoming: U.S. Geological Survey Professional Paper 1400-B, 63\np.) 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The surface grid was used to export the cell centroid position \n(Northing, Easting in UTM zone 14 North, in meters) along with the cell elevation (referenced to NAVD88, in meters) to \ncreate the text file.  The data were collected by the U.S. Geological Survey in cooperation with the Environmental Protection \nAgency (EPA) and the Omaha Public Power District (OPPD).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9999GEE","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.78f575af-c3c6-4541-84ed-455c90b9b0e6.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_78f575af-c3c6-4541-84ed-455c90b9b0e6","keyword":["Dakota County","Iowa","Missouri River","Nebraska","USGS:78f575af-c3c6-4541-84ed-455c90b9b0e6","Woodbury County","bathymetry","environment","geoscientificInformation","inlandWaters","multibeam sonar","terrain","topography"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"96.38706, 42.32563, 96.38999, 42.32721","theme":["geospatial"],"title":"Missouri River bed elevations near Omaha Public Power District transmission tower surveyed during 2011 flood on July, 16"},"description":"A RESON SeaBat\u2122 7125 multibeam echosounder in conjunction with an Applanix Position Orientation Solution for Marine \nVessels (POS MV\u2122) WaveMaster system motion sensor, HYPACK\u00ae/HYSWEEP\u00ae navigation software, and Ashtech Z-Xtreme \nGPS receivers or Trimble R8 receivers was used to survey the Missouri River bed at 15 pipeline crossings at four different \nlocations, at three power plant locations, and at one transmission tower during the 2011 flood event.  The format of this data \nis a grid with each cell covering 0.5 meter by 0.5 meter.  The elevation value (North American Vertical Datum, NAVD88) \nrepresented by each cell is the most probable elevation for that cell based on calculated Total Propagated Uncertainty (TPU) \nas calculated in Caris HIPS and SIPS software.  Calculated TPS values are then used by Caris to create a Combined \nUncertainty and Bathymetric Estimator (CUBE) surface.  The surface grid was used to export the cell centroid position \n(Northing, Easting in UTM zone 14 North, in meters) along with the cell elevation (referenced to NAVD88, in meters) to \ncreate the text file.  The data were collected by the U.S. Geological Survey in cooperation with the Environmental Protection \nAgency (EPA) and the Omaha Public Power District (OPPD).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b0e4fb26-1fa4-4ff6-a4aa-e4e5873f7506","harvest_record_raw":"https://catalog.data.gov/harvest_record/b0e4fb26-1fa4-4ff6-a4aa-e4e5873f7506/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_78f575af-c3c6-4541-84ed-455c90b9b0e6","keyword":["Dakota County","Iowa","Missouri River","Nebraska","USGS:78f575af-c3c6-4541-84ed-455c90b9b0e6","Woodbury County","bathymetry","environment","geoscientificInformation","inlandWaters","multibeam sonar","terrain","topography"],"last_harvested_date":"2026-08-10T00:06:35.319530","organization":{"aliases":["dept"],"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"},"popularity":4,"publisher":"U.S. Geological Survey","slug":"missouri-river-bed-elevations-near-omaha-public-power-district-transmission-tower-surve-16","spatial_centroid":{"lat":42.326262,"lon":96.388232},"spatial_shape":{"coordinates":[[[96.38706,42.32563],[96.38706,42.32721],[96.38999,42.32721],[96.38999,42.32563],[96.38706,42.32563]]],"type":"Polygon"},"theme":["geospatial"],"title":"Missouri River bed elevations near Omaha Public Power District transmission tower surveyed during 2011 flood on July, 16"},{"_score":5.848672,"_sort":[1786320387227,5.848672,1,"89181db0-eb84-4407-98e6-fa972623cd3c"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Andrew LaMotte","hasEmail":"mailto:alamotte@usgs.gov"},"description":"These data sets represent 23 geographic 5-minute indexes for the counties of Maryland, one 2 1/2-minute \nindex for Washington D.C., and 1-mile square index for Baltimore City. 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The shapefiles Hi_Res_Extents.shp and \nLow_Res_Extents.shp define the limits of these areas. The horizontal datum of the DEM is NAD 1983 State \nPlane-Oregon South HARN with units of International Feet (NAD83). The vertical datum of the elevation model \nis NAVD 1988 with units of international feet (NAVD-88). In addition, some areas show surveyed bathymetry \nwithin the channel. These can be noted by the sharp increase in apparent depth, creating a stripe across the \ndepth grid when compared to the LiDAR data, which represents the water surface elevation at the time of the \naerial data collection. Bridge decks are generally removed from DEMs as standard practice. Therefore, these \nfeatures may be shown as inundated when they are not. An effort to clip flood extents on bridge decks was \nmade, but judgement should be used when estimating the usefulness of a bridge during flood flow. Comparing \nthe bridge to the surrounding ground can be more informative in this respect than simply looking at the bridge \nitself. The features and depth grids stop as the Coast Fork approaches the Middle Fork on the northern end of \nthe reach. See cfwgoshOR.shp for information regarding this file. This represents the depth grid for the 33,900 \ncfs profile.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P93I1IJ3","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.63d233ac-557d-4b79-8664-c2937dda3cb9.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_63d233ac-557d-4b79-8664-c2937dda3cb9","keyword":["Coast Fork Willamette River","Creswell","Goshen","Oregon","USGS:63d233ac-557d-4b79-8664-c2937dda3cb9","Willamette Valley","elevation","environment","flood","flood-inundation maps","flooded area","geoscientificInformation","geospatial analysis","high-water marks","inlandWaters","river/stream"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-123.048840045, 43.909466547, -122.949900456, 44.011530659","theme":["geospatial"],"title":"SIR2016-5029_cfwgoshor_5: Flood Inundation Depth for a Flow of 33,900 cfs at the Gage Coast Fork Willamette River at Goshen, Oregon"},"description":"The domain of the model is as follows: Row River from Dorena dam to the confluence with the Coast Fork; \nCoast Fork from Cottage Grove dam to the confluence with the Middle Fork; Silk Creek from River Mile 1.7 \nto the confluence with the Coast Fork. The basis for these features is the Willamette Flood Insurance Study \u2013 \nPhase One (2013). The hydraulics and hydrology for the FIS were reused in the production of these polygons; \nthe reports and information associated with the FIS are applicable to this product. The Digital Elevation Model \n(DEM) utilized for the Willamette FIS submittal was produced by combining multiple overlapping topographic \nsurveys for the Middle Fork and Coast Fork of the Willamette River. This DEM was created from four sources: \nLiDAR of the Springfield area that was flown in 2008, LiDAR of Silk Creek that was flown in 2011, LiDAR of \nFall Creek that was flown in 2012, and photogrammetry of the Middle Fork and Coast Fork of the Willamette \nRiver that was flown in 2004. In areas where no high-resolution elevation data were available, USGS National \nElevation Dataset (NED) data were used to supplement the DEM. The shapefiles Hi_Res_Extents.shp and \nLow_Res_Extents.shp define the limits of these areas. The horizontal datum of the DEM is NAD 1983 State \nPlane-Oregon South HARN with units of International Feet (NAD83). The vertical datum of the elevation model \nis NAVD 1988 with units of international feet (NAVD-88). In addition, some areas show surveyed bathymetry \nwithin the channel. These can be noted by the sharp increase in apparent depth, creating a stripe across the \ndepth grid when compared to the LiDAR data, which represents the water surface elevation at the time of the \naerial data collection. Bridge decks are generally removed from DEMs as standard practice. Therefore, these \nfeatures may be shown as inundated when they are not. An effort to clip flood extents on bridge decks was \nmade, but judgement should be used when estimating the usefulness of a bridge during flood flow. Comparing \nthe bridge to the surrounding ground can be more informative in this respect than simply looking at the bridge \nitself. The features and depth grids stop as the Coast Fork approaches the Middle Fork on the northern end of \nthe reach. See cfwgoshOR.shp for information regarding this file. 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Becker","hasEmail":"mailto:cjbecker@usgs.gov"},"description":"This data set consists of digital polygons of constant hydraulic\nconductivity values for the Tillman terrace and alluvial aquifer\nin southwestern Oklahoma. The Tillman terrace and alluvial\naquifer encompasses the unconsolidated terrace deposits and\nalluvium associated with the North Fork of the Red River and the\nRed River in the western half of Tillman County. These sediments\nconsist of discontinuous layers of clay, sandy clay, sand, and\ngravel. The aquifer extends over an area of 285 square miles and\nis used for irrigation and domestic purposes. Granite and the\nHennessey Formation outcrop in northern parts of the aquifer\nwhere alluvial deposits are absent. These outcrops were included\nas part of the aquifer in a thesis in which the ground-water\nflow in the aquifer was modeled.\nAn average hydraulic conductivity value of 92.5 feet per day was\nused for both the terrace and alluvial deposits in this data set\nand was reported in the thesis. The hydraulic conductivity\npolygons were derived from two sources. The outer polygon\nrepresenting the outer shell of a model grid for a ground-water\nflow model of the Tillman terrace and alluvial aquifer was\ndigitized from a paper map in a thesis at a scale of 1:249,695.\nPolygons and lines representing geologic contacts were extracted\nfrom a published digital surficial geology data set based on a\nscale of 1:250,000. Small polygons along the eastern boundary of\nthe aquifer were created when the outer polygon of the model\ngrid and the geology polygons and lines were combined. These\nsmall polygons represent geologic units other than the Tillman\nterrace and alluvial aquifer within the model grid. Three small\npolygons representing outcrops of granite and the Hennessey\nFormation in the northern parts of the aquifer also were\nextracted from the digital surficial geology data set.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of hydraulic conductivity\nused in the model and presented in this data set are not\nprecise, but are within a reasonable range when compared to\nindependently collected data.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9PYPM0O","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.771b04b4-5d88-43f0-ac01-0c076cf6dc30.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_771b04b4-5d88-43f0-ac01-0c076cf6dc30","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:771b04b4-5d88-43f0-ac01-0c076cf6dc30","alluvial aquifer","alluvial deposit","alluvium","aquifers","coefficent of permeability","environment","geoscientificInformation","ground water","ground-water vulnerability","groundwater","groundwater vulnerability","hydraulic conductivity","inlandWaters","permeability","permeability coefficent","terrace aquifer","terrace deposit"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-99.2286, 34.1912, -98.9482, 34.6411","theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma"},"description":"This data set consists of digital polygons of constant hydraulic\nconductivity values for the Tillman terrace and alluvial aquifer\nin southwestern Oklahoma. The Tillman terrace and alluvial\naquifer encompasses the unconsolidated terrace deposits and\nalluvium associated with the North Fork of the Red River and the\nRed River in the western half of Tillman County. These sediments\nconsist of discontinuous layers of clay, sandy clay, sand, and\ngravel. The aquifer extends over an area of 285 square miles and\nis used for irrigation and domestic purposes. Granite and the\nHennessey Formation outcrop in northern parts of the aquifer\nwhere alluvial deposits are absent. These outcrops were included\nas part of the aquifer in a thesis in which the ground-water\nflow in the aquifer was modeled.\nAn average hydraulic conductivity value of 92.5 feet per day was\nused for both the terrace and alluvial deposits in this data set\nand was reported in the thesis. The hydraulic conductivity\npolygons were derived from two sources. The outer polygon\nrepresenting the outer shell of a model grid for a ground-water\nflow model of the Tillman terrace and alluvial aquifer was\ndigitized from a paper map in a thesis at a scale of 1:249,695.\nPolygons and lines representing geologic contacts were extracted\nfrom a published digital surficial geology data set based on a\nscale of 1:250,000. Small polygons along the eastern boundary of\nthe aquifer were created when the outer polygon of the model\ngrid and the geology polygons and lines were combined. These\nsmall polygons represent geologic units other than the Tillman\nterrace and alluvial aquifer within the model grid. Three small\npolygons representing outcrops of granite and the Hennessey\nFormation in the northern parts of the aquifer also were\nextracted from the digital surficial geology data set.\nGround-water flow models are numerical representations that\nsimplify and aggregate natural systems. Models are not unique;\ndifferent combinations of aquifer characteristics may produce\nsimilar results. Therefore, values of hydraulic conductivity\nused in the model and presented in this data set are not\nprecise, but are within a reasonable range when compared to\nindependently collected data.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/54fddeb0-1b5d-46b6-9228-0cfcc8b875b0","harvest_record_raw":"https://catalog.data.gov/harvest_record/54fddeb0-1b5d-46b6-9228-0cfcc8b875b0/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_771b04b4-5d88-43f0-ac01-0c076cf6dc30","keyword":["Tillman alluvial and terrace aquifer","Tillman alluvial aquifer","Tillman aquifer","Tillman terrace and alluvial aquifer","Tillman terrace aquifer","USGS:771b04b4-5d88-43f0-ac01-0c076cf6dc30","alluvial aquifer","alluvial deposit","alluvium","aquifers","coefficent of permeability","environment","geoscientificInformation","ground water","ground-water vulnerability","groundwater","groundwater vulnerability","hydraulic conductivity","inlandWaters","permeability","permeability coefficent","terrace aquifer","terrace deposit"],"last_harvested_date":"2026-08-10T00:01:53.643525","organization":{"aliases":["dept"],"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"},"popularity":5,"publisher":"U.S. Geological Survey","slug":"digital-data-sets-that-describe-aquifer-characteristics-of-the-tillman-terrace-and-alluvia-eb6cf","spatial_centroid":{"lat":34.37116,"lon":-99.11644},"spatial_shape":{"coordinates":[[[-99.2286,34.1912],[-99.2286,34.6411],[-98.9482,34.6411],[-98.9482,34.1912],[-99.2286,34.1912]]],"type":"Polygon"},"theme":["geospatial"],"title":"Digital data sets that describe aquifer characteristics of the Tillman terrace and alluvial aquifer in southwestern Oklahoma"},{"_score":9.336464,"_sort":[1786320104672,9.336464,4,"71d50882-5d96-4e89-9cdc-4e1bfd87fd30"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"William A. 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