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This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 761.4","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9SZ45DR","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.c0753ab2-c87b-4337-ac9c-8d0a287ec630.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c0753ab2-c87b-4337-ac9c-8d0a287ec630","keyword":["Hydrographic Survey","USGS:c0753ab2-c87b-4337-ac9c-8d0a287ec630","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.912030, 42.701452, -96.822611, 42.736188","theme":["geospatial"],"title":"Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River."},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota. This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 761.4","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3096872b-f9df-4708-bb84-d0fcfd80300b","harvest_record_raw":"https://catalog.data.gov/harvest_record/3096872b-f9df-4708-bb84-d0fcfd80300b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c0753ab2-c87b-4337-ac9c-8d0a287ec630","keyword":["Hydrographic Survey","USGS:c0753ab2-c87b-4337-ac9c-8d0a287ec630","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-10-08T04:28:07.738558","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"bathymetry-data-for-the-post-construction-survey-of-the-emergent-sandbar-habitat-project-a-8922e","spatial_centroid":{"lat":42.7153464,"lon":-96.8762624},"spatial_shape":{"coordinates":[[[-96.91203,42.701452],[-96.91203,42.736188],[-96.822611,42.736188],[-96.822611,42.701452],[-96.91203,42.701452]]],"type":"Polygon"},"theme":["geospatial"],"title":"Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River.","type":"dataset"},{"_score":8.667734,"_sort":[1791433471621,8.667734,0,"8d08eb06-e2cb-4638-a3be-4fe41b2c898b"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Katherine Warnell","hasEmail":"mailto:katie.warnell@duke.edu"},"description":"Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States. Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.21429/2xzm-7h15","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.5f173eeb82cef313ed841a79.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5f173eeb82cef313ed841a79","keyword":["Alabama","Arkansas","Florida","Georgia","Louisiana","Mississippi","Missouri","North Carolina","South Carolina","Tennessee","USGS:5f173eeb82cef313ed841a79","contamination and pollution","environment","freshwater ecosystems","natural resource management","runoff","water resources"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-91.6300, 24.4800, -75.2000, 36.6400","theme":["geospatial"],"title":"Agricultural land in the southeast United States (2011)"},"description":"Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States. Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/47e728b6-2ac0-4221-af40-ffc6dcb37e75","harvest_record_raw":"https://catalog.data.gov/harvest_record/47e728b6-2ac0-4221-af40-ffc6dcb37e75/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5f173eeb82cef313ed841a79","keyword":["Alabama","Arkansas","Florida","Georgia","Louisiana","Mississippi","Missouri","North Carolina","South Carolina","Tennessee","USGS:5f173eeb82cef313ed841a79","contamination and pollution","environment","freshwater ecosystems","natural resource management","runoff","water resources"],"last_harvested_date":"2026-10-08T04:24:31.621767","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"agricultural-land-in-the-southeast-united-states-2011","spatial_centroid":{"lat":29.344,"lon":-85.05799999999999},"spatial_shape":{"coordinates":[[[-91.63,24.48],[-91.63,36.64],[-75.2,36.64],[-75.2,24.48],[-91.63,24.48]]],"type":"Polygon"},"theme":["geospatial"],"title":"Agricultural land in the southeast United States (2011)","type":"dataset"},{"_score":3.4734526,"_sort":[1791433169152,3.4734526,0,"de2b9d08-3012-48ea-8d01-4dc165bc023e"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 2005 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1344/\">Estimated Use\nof Water in the United States in 2005</a>\" (USGS Circular 1344, Kenny and\nothers, 2009). This publication includes water use estimates at the county and HUC8 levels\nfor all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United\nStates in 2005. These data are based on Kenny and others, 2009, but include\nrevisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting\ndata available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<p>Note on the population figures: 2005 county-level population served estimates were either made as a total population served by a public supply system, or as separate estimates for population served by a public supply system with a groundwater source and served by a public supply system with a surface water source. Counties will have either a single PS-TOPop value, or else separate PS-GWPop and PS-SWPop values. </p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac2d4be0234870fcafa.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcafa","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac2d4be0234870fcafa","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2005"},"description":"<p>This data release contains estimated water-use data for 2005 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1344/\">Estimated Use\nof Water in the United States in 2005</a>\" (USGS Circular 1344, Kenny and\nothers, 2009). This publication includes water use estimates at the county and HUC8 levels\nfor all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United\nStates in 2005. These data are based on Kenny and others, 2009, but include\nrevisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting\ndata available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<p>Note on the population figures: 2005 county-level population served estimates were either made as a total population served by a public supply system, or as separate estimates for population served by a public supply system with a groundwater source and served by a public supply system with a surface water source. Counties will have either a single PS-TOPop value, or else separate PS-GWPop and PS-SWPop values. </p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/66bb552e-174c-40f2-99f9-80617059a61c","harvest_record_raw":"https://catalog.data.gov/harvest_record/66bb552e-174c-40f2-99f9-80617059a61c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcafa","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac2d4be0234870fcafa","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T04:19:29.152839","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-2005","spatial_centroid":{"lat":39.285094,"lon":-35.576638554999604},"spatial_shape":{"coordinates":[[[-179.146711,17.88328],[-179.146711,71.387815],[179.778470112501,71.387815],[179.778470112501,17.88328],[-179.146711,17.88328]]],"type":"Polygon"},"theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2005","type":"dataset"},{"_score":3.503992,"_sort":[1791433166422,3.503992,0,"afb37715-5fb0-4e31-ac49-a6e50c8f1872"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 2000 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/2004/circ1268/\">Estimated Use\nof Water in the United States in 2000</a>\" (USGS Circular 1268, Hutson and\nothers, 2004). This publication includes water use estimates at the county level\nfor all of the United States.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/2005/1279/\">Estimated Withdrawals\nfrom Principal Aquifers in the United States, 2000</a>\" (USGS Circular 1279,\nMaupin and others, 2005). This publication includes water use estimates by\nprincipal aquifer for all of the United States.</p>\n<p>Revised county and revised aquifer estimates of water use in the United States\nin 2000. These county and aquifer level data are based on Hutson and\nothers, 2004, and Maupin and others, 2005, respectively, but include revisions to\nestimates made after the original publications.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting \ndata available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac2d4be0234870fcaf8.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcaf8","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac2d4be0234870fcaf8","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2000"},"description":"<p>This data release contains estimated water-use data for 2000 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/2004/circ1268/\">Estimated Use\nof Water in the United States in 2000</a>\" (USGS Circular 1268, Hutson and\nothers, 2004). This publication includes water use estimates at the county level\nfor all of the United States.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/2005/1279/\">Estimated Withdrawals\nfrom Principal Aquifers in the United States, 2000</a>\" (USGS Circular 1279,\nMaupin and others, 2005). This publication includes water use estimates by\nprincipal aquifer for all of the United States.</p>\n<p>Revised county and revised aquifer estimates of water use in the United States\nin 2000. These county and aquifer level data are based on Hutson and\nothers, 2004, and Maupin and others, 2005, respectively, but include revisions to\nestimates made after the original publications.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting \ndata available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/74ce8c14-cefb-4ece-8846-14a8494aedca","harvest_record_raw":"https://catalog.data.gov/harvest_record/74ce8c14-cefb-4ece-8846-14a8494aedca/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcaf8","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac2d4be0234870fcaf8","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T04:19:26.422259","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-2000","spatial_centroid":{"lat":39.285094,"lon":-35.576638554999604},"spatial_shape":{"coordinates":[[[-179.146711,17.88328],[-179.146711,71.387815],[179.778470112501,71.387815],[179.778470112501,17.88328],[-179.146711,17.88328]]],"type":"Polygon"},"theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2000","type":"dataset"},{"_score":10.283173,"_sort":[1791433144476,10.283173,2,"2c5bba23-c14d-487d-90ba-ce454b31ee54"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. 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The surface was generated from points collected by the echosounder and real-time \nkinematic (RTK) GPS on cross-sections in the downstream project reach surrounding the construction \narea at River Mile 770 below Gavins Point Dam on the Missouri River in South Dakota.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9C80ZRZ","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.817e2f6f-af3e-4cce-92df-47f65c69879a.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_817e2f6f-af3e-4cce-92df-47f65c69879a","keyword":["Hydrographic Survey","USGS:817e2f6f-af3e-4cce-92df-47f65c69879a","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.876339, 42.712693, -96.851104, 42.732505","theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of the \nsubstrate surface between cross-sections 22 and 35 following construction of Emergent Sandbar Habitat \nnear River Mile 770. 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The data are\nintended for river-basin level assessment and general analysis and are not\nsuitable for site-specific analyses.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?yell_mineral","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.b5b40ce4-0aca-4cc1-bf76-7e59d46122fa.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","keyword":["Montana","USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","Wyoming","Yellowstone River","Yellowstone River Basin","environment","geoscientificInformation","inlandWaters","metals","mineral deposits","mineralized areas","uranium"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-110.75132496, 42.4786913, -105.68596591, 45.62788483","theme":["geospatial"],"title":"Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming"},"description":"Mineral resource areas are defined as those areas with a high likelihood of\ncontaining occurrences of valuable mineral deposits. A variety of sources of\nminerals information were consulted in compiling a digital map of mineral\nresource areas for metallic minerals in the Yellowstone River Basin.\nSource scales varied, but were no smaller than 1:500,000. The data are\nintended for river-basin level assessment and general analysis and are not\nsuitable for site-specific analyses.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c74accb1-70bb-4283-8ab9-ee53d3765483","harvest_record_raw":"https://catalog.data.gov/harvest_record/c74accb1-70bb-4283-8ab9-ee53d3765483/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","keyword":["Montana","USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","Wyoming","Yellowstone River","Yellowstone River Basin","environment","geoscientificInformation","inlandWaters","metals","mineral deposits","mineralized areas","uranium"],"last_harvested_date":"2026-10-08T04:17:03.745458","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":6,"publisher":"U.S. Geological Survey","slug":"mineral-resource-areas-of-the-yellowstone-river-basin-montana-and-wyoming","spatial_centroid":{"lat":43.738368711999996,"lon":-108.72518133999999},"spatial_shape":{"coordinates":[[[-110.75132496,42.4786913],[-110.75132496,45.62788483],[-105.68596591,45.62788483],[-105.68596591,42.4786913],[-110.75132496,42.4786913]]],"type":"Polygon"},"theme":["geospatial"],"title":"Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming","type":"dataset"},{"_score":10.283173,"_sort":[1791432993603,10.283173,1,"bedaa09e-ea00-4ad9-9b43-27c05a7ac753"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. 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This data provides land surface \nelevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent \nSandbar Habitat.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9NQDOFR","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.1c1dd2c7-efbe-4def-afff-1138dc63fbe9.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_1c1dd2c7-efbe-4def-afff-1138dc63fbe9","keyword":["Hydrographic Survey","USGS:1c1dd2c7-efbe-4def-afff-1138dc63fbe9","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.913901, 42.701339, -96.822211, 42.737252","theme":["geospatial"],"title":"GPS data collected for transects as part of the post-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic \nsurveys on the Missouri River below Gavins Point Dam near River Mile 769.8. This data provides land surface \nelevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent \nSandbar Habitat.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e6d310c8-14e2-4810-ac18-f192a2070a9d","harvest_record_raw":"https://catalog.data.gov/harvest_record/e6d310c8-14e2-4810-ac18-f192a2070a9d/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_1c1dd2c7-efbe-4def-afff-1138dc63fbe9","keyword":["Hydrographic Survey","USGS:1c1dd2c7-efbe-4def-afff-1138dc63fbe9","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-10-08T04:16:33.603279","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"gps-data-collected-for-transects-as-part-of-the-post-construction-survey-at-emergent-sandb","spatial_centroid":{"lat":42.7157042,"lon":-96.877225},"spatial_shape":{"coordinates":[[[-96.913901,42.701339],[-96.913901,42.737252],[-96.822211,42.737252],[-96.822211,42.701339],[-96.913901,42.701339]]],"type":"Polygon"},"theme":["geospatial"],"title":"GPS data collected for transects as part of the post-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8","type":"dataset"},{"_score":3.4915428,"_sort":[1791432933218,3.4915428,0,"8caf3170-81c7-4d99-a7f7-722cd0b1e281"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release package contains water-use estimates from 1985 to 2015 aggregated to 8-digit Hydrologic Unit (HUC8), county, and aquifer level for the United States. The U.S. Geological Survey (USGS) is responsible for estimating water-use in the United States. In cooperation with local, State, and Federal agencies, the USGS has published estimates of water use in the United States every 5 years, beginning in 1950. This data release contains HUC8 and county-level water-use data that support state and national-level estimates published in Solley and others, 1988, 1993, 1998; Hutson and others, 2004; Kenny and others, 2009; Maupin and others, 2014, and Dieter and others, 2018, as well as several other information products described within the child data releases. This dataset contains data for public supply, domestic, commercial, irrigation, thermoelectric power, industrial, mining, livestock, and aquaculture water-use categories.</p>\n<p>This data release also serves as an archive of the USGS Aggregate Water-Use Data System (AWUDS) database which was the information store for the above publications. AWUDS was decommissioned in 2025. Some of the values which were entered and kept in this database were not explicitly published in the past publications, but are included in this data release for archival purposes. Some data in the publications cited here may not come from values marked as published in the AWUDS database. In some such cases, the data may be found in the revised datasets here. In other cases, where the data was not stored in AWUDS at all, please contact the original study authors.</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.6827de79d4be02693eeabe73.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6827de79d4be02693eeabe73","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:6827de79d4be02693eeabe73","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.231086, -14.601813, 179.859681071256, 71.439786","theme":["geospatial"],"title":"Water use data for various spatial scales in the United States, 1985-2015"},"description":"<p>This data release package contains water-use estimates from 1985 to 2015 aggregated to 8-digit Hydrologic Unit (HUC8), county, and aquifer level for the United States. The U.S. Geological Survey (USGS) is responsible for estimating water-use in the United States. In cooperation with local, State, and Federal agencies, the USGS has published estimates of water use in the United States every 5 years, beginning in 1950. This data release contains HUC8 and county-level water-use data that support state and national-level estimates published in Solley and others, 1988, 1993, 1998; Hutson and others, 2004; Kenny and others, 2009; Maupin and others, 2014, and Dieter and others, 2018, as well as several other information products described within the child data releases. This dataset contains data for public supply, domestic, commercial, irrigation, thermoelectric power, industrial, mining, livestock, and aquaculture water-use categories.</p>\n<p>This data release also serves as an archive of the USGS Aggregate Water-Use Data System (AWUDS) database which was the information store for the above publications. AWUDS was decommissioned in 2025. Some of the values which were entered and kept in this database were not explicitly published in the past publications, but are included in this data release for archival purposes. Some data in the publications cited here may not come from values marked as published in the AWUDS database. In some such cases, the data may be found in the revised datasets here. In other cases, where the data was not stored in AWUDS at all, please contact the original study authors.</p>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/370a408c-0a78-4b47-a377-aa45eaf1f102","harvest_record_raw":"https://catalog.data.gov/harvest_record/370a408c-0a78-4b47-a377-aa45eaf1f102/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6827de79d4be02693eeabe73","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:6827de79d4be02693eeabe73","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T04:15:33.218887","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"water-use-data-for-various-spatial-scales-in-the-united-states-1985-2015","spatial_centroid":{"lat":19.814826599999996,"lon":-35.5947791714976},"spatial_shape":{"coordinates":[[[-179.231086,-14.601813],[-179.231086,71.439786],[179.859681071256,71.439786],[179.859681071256,-14.601813],[-179.231086,-14.601813]]],"type":"Polygon"},"theme":["geospatial"],"title":"Water use data for various spatial scales in the United States, 1985-2015","type":"dataset"},{"_score":3.4733696,"_sort":[1791432690407,3.4733696,0,"3863d855-907e-46af-bbb8-79ae950f7106"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 2015 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/publication/cir1441\">Estimated Use\nof Water in the United States in 2015</a>\" (USGS Circular 1441, Dieter and\nothers, 2018). County data for all of the United States.</p>\n<p>\"<a href = \"https://doi.org/10.5066/F7TB15V5\">Estimated Use of Water in the\nUnited States County-Level Data for 2015 (ver. 2.0, June 2018)</a>\" (USGS Data Release, Dieter and\nothers, 2018). County data for all of the United States. These county-level data are based on\nDieter and others, 2018b, but include revisions to estimates\nmade after original publication.</p>\n<p>\"<a href = \"https://doi.org/10.3133/cir1464\">Estimated Groundwater Withdrawals from Principal Aquifers\nin the United States, 2015</a>\" (USGS circular 1464, Lovelace and others, 2020). Contains published\ncounty-aquifer data for all the United States with supporting data available in the companion\n<a href = \"https://doi.org/10.5066/P9EI0KMR\">data release</a>. Revised county-aquifer data included\nin this data release are based on Lovelace and others, 2020a and 2020b.</p>\n<p>Revised HUC8 data were entered as optional in AWUDS, but were published as parts\nof local studies (Painter, 2019; Sargent et al., 2020; Ivahnenko and Galanter,\n2021; Gonthier and Painter, 2020).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC.Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac3d4be0234870fcafe.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac3d4be0234870fcafe","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac3d4be0234870fcafe","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2015"},"description":"<p>This data release contains estimated water-use data for 2015 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/publication/cir1441\">Estimated Use\nof Water in the United States in 2015</a>\" (USGS Circular 1441, Dieter and\nothers, 2018). County data for all of the United States.</p>\n<p>\"<a href = \"https://doi.org/10.5066/F7TB15V5\">Estimated Use of Water in the\nUnited States County-Level Data for 2015 (ver. 2.0, June 2018)</a>\" (USGS Data Release, Dieter and\nothers, 2018). County data for all of the United States. These county-level data are based on\nDieter and others, 2018b, but include revisions to estimates\nmade after original publication.</p>\n<p>\"<a href = \"https://doi.org/10.3133/cir1464\">Estimated Groundwater Withdrawals from Principal Aquifers\nin the United States, 2015</a>\" (USGS circular 1464, Lovelace and others, 2020). Contains published\ncounty-aquifer data for all the United States with supporting data available in the companion\n<a href = \"https://doi.org/10.5066/P9EI0KMR\">data release</a>. Revised county-aquifer data included\nin this data release are based on Lovelace and others, 2020a and 2020b.</p>\n<p>Revised HUC8 data were entered as optional in AWUDS, but were published as parts\nof local studies (Painter, 2019; Sargent et al., 2020; Ivahnenko and Galanter,\n2021; Gonthier and Painter, 2020).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC.Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/bd73edb5-39e7-4ab4-ab62-ffa8b6d2ba31","harvest_record_raw":"https://catalog.data.gov/harvest_record/bd73edb5-39e7-4ab4-ab62-ffa8b6d2ba31/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac3d4be0234870fcafe","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac3d4be0234870fcafe","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T04:11:30.407078","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-2015","spatial_centroid":{"lat":39.285094,"lon":-35.576638554999604},"spatial_shape":{"coordinates":[[[-179.146711,17.88328],[-179.146711,71.387815],[179.778470112501,71.387815],[179.778470112501,17.88328],[-179.146711,17.88328]]],"type":"Polygon"},"theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2015","type":"dataset"},{"_score":3.4915428,"_sort":[1791432689748,3.4915428,0,"b037e57d-580f-4da8-8e0e-b695f68aaac0"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 2010 aggregated to\nthe county level in the United States, and HUC8 and aquifer for select states.\nThe included datasets are:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1405/\">Estimated Use\nof Water in the United States in 2010</a>\" (USGS Circular 1405, Maupin and\nothers, 2014). County data for the United States.</p>\n<p>Revised estimates of water use in the United States in 2010. These county\nlevel data are based on Maupin and others, 2014,\nbut include revisions to estimates made after original\npublication. The HUC8 level data are based on Maupin and others, 2018, but\ninclude additional states and include revisions to estimates\nmade after the original publication. </p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting\ndata available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>\"<a href = \"https://pubs.usgs.gov/of/2015/1230/ofr20151230.pdf\">Water Use\nin Georgia by County for 2010 and Water-Use Trends, 1985-2010 </a>\" (USGS\nOpen-File Report 2015\u20131230, Lawrence, 2016). County data for Georgia.</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include golf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac3d4be0234870fcafc.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac3d4be0234870fcafc","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac3d4be0234870fcafc","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 2010"},"description":"<p>This data release contains estimated water-use data for 2010 aggregated to\nthe county level in the United States, and HUC8 and aquifer for select states.\nThe included datasets are:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1405/\">Estimated Use\nof Water in the United States in 2010</a>\" (USGS Circular 1405, Maupin and\nothers, 2014). County data for the United States.</p>\n<p>Revised estimates of water use in the United States in 2010. These county\nlevel data are based on Maupin and others, 2014,\nbut include revisions to estimates made after original\npublication. The HUC8 level data are based on Maupin and others, 2018, but\ninclude additional states and include revisions to estimates\nmade after the original publication. </p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting\ndata available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>\"<a href = \"https://pubs.usgs.gov/of/2015/1230/ofr20151230.pdf\">Water Use\nin Georgia by County for 2010 and Water-Use Trends, 1985-2010 </a>\" (USGS\nOpen-File Report 2015\u20131230, Lawrence, 2016). County data for Georgia.</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include golf course irrigation (IG).</p>\n<p>Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.</p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/132d7d5e-2844-46f8-a2e3-b9b4a11579a5","harvest_record_raw":"https://catalog.data.gov/harvest_record/132d7d5e-2844-46f8-a2e3-b9b4a11579a5/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac3d4be0234870fcafc","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of 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Samples used in the study originated from blood or feather samples collected in the field from live trapped birds or from tissue taken from dead birds.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9F8DV8O","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.ASC236.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC236","keyword":["Alaska","Alleles","Animals/Vertebrates","Biota","Birds","Chaun","Chaun River Delta","Colville River Delta","DNA","DNA sequencing","DNA, Mitochondrial","Environment","Evolution","Genetic diversity","Genetic markers","Genetic variance","Genetics","Genetics, Population","Indigirka","Indigirka River Delta","Microsatellite Repeats","Polymerase chain reaction","Population genetic","Prudhoe Bay","Russia","Somateria fischeri","Spectacled eider","Systematics and taxonomy","USGS:ASC236","Utqiagvik","Waterfowl","Yukon-Kuskokwim Delta"],"modified":"2024-09-15T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"152.58, 60.84, -150.89, 71.36","theme":["geospatial"],"title":"Spectacled Eider (Somateria fischeri) Microsatellite and Mitochondrial DNA Data, 2014-2018, Alaska and Russia"},"description":"This data set describes nuclear microsatellite genotypes derived from ten autosomal loci (Aph8, Aph16, Cmo7, Cmo9, Hhi5, Sfi10, Smo4, Smo6, Smo8, Smo12) and nucleotide sequence data derived from one mitochondrial DNA locus (control region). A total of 262 Spectacled Eiders were examined for this study. Samples were collected at Indigirka and Chaun River Deltas, Russia, and Yukon-Kuskokwim Delta, Utqiagvik, Colville River Delta, Prudhoe Bay, Alaska. Samples used in the study originated from blood or feather samples collected in the field from live trapped birds or from tissue taken from dead birds.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2ae88f46-9581-4035-bbd9-4983cd41b9e6","harvest_record_raw":"https://catalog.data.gov/harvest_record/2ae88f46-9581-4035-bbd9-4983cd41b9e6/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC236","keyword":["Alaska","Alleles","Animals/Vertebrates","Biota","Birds","Chaun","Chaun River Delta","Colville River Delta","DNA","DNA sequencing","DNA, Mitochondrial","Environment","Evolution","Genetic diversity","Genetic markers","Genetic variance","Genetics","Genetics, Population","Indigirka","Indigirka River Delta","Microsatellite Repeats","Polymerase chain reaction","Population genetic","Prudhoe Bay","Russia","Somateria fischeri","Spectacled eider","Systematics and taxonomy","USGS:ASC236","Utqiagvik","Waterfowl","Yukon-Kuskokwim Delta"],"last_harvested_date":"2026-10-08T03:53:53.860660","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"spectacled-eider-somateria-fischeri-microsatellite-and-mitochondrial-dna-data-2014-2018-al","spatial_centroid":{"lat":65.048,"lon":31.192000000000014},"spatial_shape":{"coordinates":[[[152.58,60.84],[152.58,71.36],[-150.89,71.36],[-150.89,60.84],[152.58,60.84]]],"type":"Polygon"},"theme":["geospatial"],"title":"Spectacled Eider (Somateria fischeri) Microsatellite and Mitochondrial DNA Data, 2014-2018, Alaska and Russia","type":"dataset"},{"_score":8.521959,"_sort":[1791431563686,8.521959,0,"dde03853-537c-4041-8d7f-aff2240bd2e4"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Katherine Warnell","hasEmail":"mailto:katie.warnell@duke.edu"},"description":"Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves from agricultural land to waterways.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.21429/2xzm-7h15","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.5f19b7e382cef313ed87224a.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5f19b7e382cef313ed87224a","keyword":["Alabama","Arkansas","Florida","Georgia","Louisiana","Mississippi","Missouri","North Carolina","South Carolina","Tennessee","USGS:5f19b7e382cef313ed87224a","contamination and pollution","environment","freshwater ecosystems","geospatial datasets","natural resource management","runoff","water resources"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-91.6300, 24.4800, -75.2000, 36.6400","theme":["geospatial"],"title":"Conservation and Restoration Priorities for Water Purification"},"description":"Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves from agricultural land to waterways.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/19495211-bc63-48d0-9018-6f2e7596185c","harvest_record_raw":"https://catalog.data.gov/harvest_record/19495211-bc63-48d0-9018-6f2e7596185c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5f19b7e382cef313ed87224a","keyword":["Alabama","Arkansas","Florida","Georgia","Louisiana","Mississippi","Missouri","North Carolina","South Carolina","Tennessee","USGS:5f19b7e382cef313ed87224a","contamination and pollution","environment","freshwater ecosystems","geospatial datasets","natural resource management","runoff","water resources"],"last_harvested_date":"2026-10-08T03:52:43.686697","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"conservation-and-restoration-priorities-for-water-purification","spatial_centroid":{"lat":29.344,"lon":-85.05799999999999},"spatial_shape":{"coordinates":[[[-91.63,24.48],[-91.63,36.64],[-75.2,36.64],[-75.2,24.48],[-91.63,24.48]]],"type":"Polygon"},"theme":["geospatial"],"title":"Conservation and Restoration Priorities for Water Purification","type":"dataset"},{"_score":3.4915428,"_sort":[1791431463467,3.4915428,0,"bf04e03b-6ee0-45e7-9e88-ffcb88e309b6"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 1985 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1988/1004/report.pdf\">Estimated Use\nof Water in the United States in 1985</a>\" (USGS Circular 1004, Solley and\nothers, 1988). This publication includes water use estimates at the county and HUC8 levels for all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United States in 1985. These county\nand HUC8 level data are based on Solley and others, 1988, but include\nrevisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the HUC8 level, but include only the area within the\nColorado River Basin. Supporting data available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: this dataset only includes one irrigation\nattribute (irrigation undifferentiated, IR). Other irrigation attributes are available in 2000\nand later datasets after the USGS began providing estimates for both crop irrigation and golf course\nirrigation. The 2000 to 2015 datasets include either IR for each area (county, HUC, aquifer) or estimates\nfor both crop irrigation (IC) and golf course irrigation (IG). These 2000-2015 datasets also include a total\nirrigation (IT) attribute that is either equal to IR, or is equal to the sum of IG and IC. Estimates of\nirrigation undifferentiated (IR) were made for some states/areas for the 2000-2015 datasets when the input data needed to\ndifferentiate crop irrigation estimates from golf course irrigation estimates were not available. Therefore, IR may \nor may not include golf course irrigation (IG).</p>\n<p>Finally, this is an archive of a database system, and some values were stored in the dataset even though they were not consistently\npublished. For example, the Reservoir Evaporation attributes (RE\u2011SurAr, RE\u2011Evapo) appear in the\n1985-Published-HUC8-usgs-sir2018\u20115049 datasets but are not included in the other published\nHUC8 or county datasets in this release, such as the circular 1004 products.</p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac1d4be0234870fcaf1.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac1d4be0234870fcaf1","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac1d4be0234870fcaf1","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 1985"},"description":"<p>This data release contains estimated water-use data for 1985 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1988/1004/report.pdf\">Estimated Use\nof Water in the United States in 1985</a>\" (USGS Circular 1004, Solley and\nothers, 1988). This publication includes water use estimates at the county and HUC8 levels for all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United States in 1985. These county\nand HUC8 level data are based on Solley and others, 1988, but include\nrevisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the HUC8 level, but include only the area within the\nColorado River Basin. Supporting data available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: this dataset only includes one irrigation\nattribute (irrigation undifferentiated, IR). Other irrigation attributes are available in 2000\nand later datasets after the USGS began providing estimates for both crop irrigation and golf course\nirrigation. The 2000 to 2015 datasets include either IR for each area (county, HUC, aquifer) or estimates\nfor both crop irrigation (IC) and golf course irrigation (IG). These 2000-2015 datasets also include a total\nirrigation (IT) attribute that is either equal to IR, or is equal to the sum of IG and IC. Estimates of\nirrigation undifferentiated (IR) were made for some states/areas for the 2000-2015 datasets when the input data needed to\ndifferentiate crop irrigation estimates from golf course irrigation estimates were not available. Therefore, IR may \nor may not include golf course irrigation (IG).</p>\n<p>Finally, this is an archive of a database system, and some values were stored in the dataset even though they were not consistently\npublished. For example, the Reservoir Evaporation attributes (RE\u2011SurAr, RE\u2011Evapo) appear in the\n1985-Published-HUC8-usgs-sir2018\u20115049 datasets but are not included in the other published\nHUC8 or county datasets in this release, such as the circular 1004 products.</p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ff65d3ef-e005-42b4-b897-a77e72dcc101","harvest_record_raw":"https://catalog.data.gov/harvest_record/ff65d3ef-e005-42b4-b897-a77e72dcc101/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac1d4be0234870fcaf1","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac1d4be0234870fcaf1","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T03:51:03.467122","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-1985","spatial_centroid":{"lat":39.285094,"lon":-35.576638554999604},"spatial_shape":{"coordinates":[[[-179.146711,17.88328],[-179.146711,71.387815],[179.778470112501,71.387815],[179.778470112501,17.88328],[-179.146711,17.88328]]],"type":"Polygon"},"theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 1985","type":"dataset"},{"_score":3.503992,"_sort":[1791431459050,3.503992,0,"7947f4a1-bd84-4da6-8641-9a7fd34b5489"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 1995 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/publication/cir1200\">Estimated Use\nof Water in the United States in 1995</a>\" (USGS Circular 1200, Solley and\nothers, 1998). This publication includes water use estimates at the county\nand HUC8 levels for all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United States\nin 1995. These county and HUC8 level data are based on Solley and\nothers, 1998, but include revisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at\nthe HUC8 level, but include only the area within the Colorado River Basin. \nSupporting data available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown by the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: this dataset only includes one irrigation\nattribute (irrigation undifferentiated, IR). Other irrigation attributes are available in 2000\nand later datasets after the USGS began providing estimates for both crop irrigation and golf course\nirrigation. The 2000 to 2015 datasets include either IR for each area (county, HUC, aquifer) or estimates\nfor both crop irrigation (IC) and golf course irrigation (IG). These 2000-2015 datasets also include a total\nirrigation (IT) attribute that is either equal to IR, or is equal to the sum of IG and IC. Estimates of\nirrigation undifferentiated (IR) were made for some states/areas for the 2000-2015 datasets when the input data needed to\ndifferentiate crop irrigation estimates from golf course irrigation estimates were not available. Therefore, IR may \nor may not include golf course irrigation (IG).</p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac1d4be0234870fcaf6.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac1d4be0234870fcaf6","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac1d4be0234870fcaf6","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 1995"},"description":"<p>This data release contains estimated water-use data for 1995 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/publication/cir1200\">Estimated Use\nof Water in the United States in 1995</a>\" (USGS Circular 1200, Solley and\nothers, 1998). This publication includes water use estimates at the county\nand HUC8 levels for all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United States\nin 1995. These county and HUC8 level data are based on Solley and\nothers, 1998, but include revisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at\nthe HUC8 level, but include only the area within the Colorado River Basin. \nSupporting data available in the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018).</p>\n<p>The estimates are shown by the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: this dataset only includes one irrigation\nattribute (irrigation undifferentiated, IR). Other irrigation attributes are available in 2000\nand later datasets after the USGS began providing estimates for both crop irrigation and golf course\nirrigation. The 2000 to 2015 datasets include either IR for each area (county, HUC, aquifer) or estimates\nfor both crop irrigation (IC) and golf course irrigation (IG). These 2000-2015 datasets also include a total\nirrigation (IT) attribute that is either equal to IR, or is equal to the sum of IG and IC. Estimates of\nirrigation undifferentiated (IR) were made for some states/areas for the 2000-2015 datasets when the input data needed to\ndifferentiate crop irrigation estimates from golf course irrigation estimates were not available. Therefore, IR may \nor may not include golf course irrigation (IG).</p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/775eca12-a710-4352-896e-b7c6eb0cb7ea","harvest_record_raw":"https://catalog.data.gov/harvest_record/775eca12-a710-4352-896e-b7c6eb0cb7ea/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac1d4be0234870fcaf6","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac1d4be0234870fcaf6","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T03:50:59.050022","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-1995","spatial_centroid":{"lat":39.285094,"lon":-35.576638554999604},"spatial_shape":{"coordinates":[[[-179.146711,17.88328],[-179.146711,71.387815],[179.778470112501,71.387815],[179.778470112501,17.88328],[-179.146711,17.88328]]],"type":"Polygon"},"theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 1995","type":"dataset"},{"_score":3.503992,"_sort":[1791431458701,3.503992,0,"23c8ef68-7082-40d0-80c2-7bd7b1c1da82"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Cheryl A Dieter","hasEmail":"mailto:cadieter@usgs.gov"},"description":"<p>This data release contains estimated water-use data for 1990 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1993/1081/report.pdf\">Estimated Use\nof Water in the United States in 1990</a>\" (USGS Circular 1081, Solley and\nothers, 1993). This publication includes water use estimates at the county and\nHUC8 levels for all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United States in 1990. These county\nand HUC8 level data are based on Solley and others, 1993, but include\nrevisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the HUC8 level,\nbut includes only the area within the Colorado River Basin. Supporting data available\nin the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018). </p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: this dataset only includes one irrigation\nattribute (irrigation undifferentiated, IR). Other irrigation attributes are available in 2000\nand later datasets after the USGS began providing estimates for both crop irrigation and golf course\nirrigation. The 2000 to 2015 datasets include either IR for each area (county, HUC, aquifer) or estimates\nfor both crop irrigation (IC) and golf course irrigation (IG). These 2000-2015 datasets also include a total\nirrigation (IT) attribute that is either equal to IR, or is equal to the sum of IG and IC. Estimates of\nirrigation undifferentiated (IR) were made for some states/areas for the 2000-2015 datasets when the input data needed to\ndifferentiate crop irrigation estimates from golf course irrigation estimates were not available. Therefore, IR may \nor may not include golf course irrigation (IG).</p>\n<br>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14Q6AVK","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.683e0ac1d4be0234870fcaf4.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac1d4be0234870fcaf4","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac1d4be0234870fcaf4","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.146711, 17.88328, 179.778470112501, 71.387815","theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 1990"},"description":"<p>This data release contains estimated water-use data for 1990 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:</p>\n<p>\"<a href = \"https://pubs.usgs.gov/circ/1993/1081/report.pdf\">Estimated Use\nof Water in the United States in 1990</a>\" (USGS Circular 1081, Solley and\nothers, 1993). This publication includes water use estimates at the county and\nHUC8 levels for all of the United States.</p>\n<p>Revised county and revised HUC8 estimates of water use in the United States in 1990. These county\nand HUC8 level data are based on Solley and others, 1993, but include\nrevisions to estimates made after the original publication.</p>\n<p>\"<a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\">Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985\u20132010</a>\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the HUC8 level,\nbut includes only the area within the Colorado River Basin. Supporting data available\nin the companion <a href = \"https://doi.org/10.5066/F7P84B5G\">data release</a> (Ivahnenko and Maupin, 2018). </p>\n<p>The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.</p>\n<p>Note on the irrigation attributes: this dataset only includes one irrigation\nattribute (irrigation undifferentiated, IR). Other irrigation attributes are available in 2000\nand later datasets after the USGS began providing estimates for both crop irrigation and golf course\nirrigation. The 2000 to 2015 datasets include either IR for each area (county, HUC, aquifer) or estimates\nfor both crop irrigation (IC) and golf course irrigation (IG). These 2000-2015 datasets also include a total\nirrigation (IT) attribute that is either equal to IR, or is equal to the sum of IG and IC. Estimates of\nirrigation undifferentiated (IR) were made for some states/areas for the 2000-2015 datasets when the input data needed to\ndifferentiate crop irrigation estimates from golf course irrigation estimates were not available. Therefore, IR may \nor may not include golf course irrigation (IG).</p>\n<br>","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/6f6931d1-4ac5-4dfa-9c20-c921eb172ead","harvest_record_raw":"https://catalog.data.gov/harvest_record/6f6931d1-4ac5-4dfa-9c20-c921eb172ead/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_683e0ac1d4be0234870fcaf4","keyword":["AK","AL","AR","AZ","Alabama","Alaska","Arizona","Arkansas","CA","CO","CT","California","Colorado","Connecticut","DC","DE","Delaware","District of Columbia","FL","Florida","GA","Georgia","HI","Hawaii","IA","ID","IL","IN","Idaho","Illinois","Indiana","Iowa","KS","KY","Kansas","Kentucky","LA","Louisiana","MA","MD","ME","MI","MN","MO","MS","MT","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","NC","ND","NE","NH","NJ","NM","NV","NY","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","OH","OK","OR","Ohio","Oklahoma","Oregon","PA","PR","Pennsylvania","Puerto Rico","RI","Rhode Island","SC","SD","South Carolina","South Dakota","TN","TX","Tennessee","Texas","US","USGS:683e0ac1d4be0234870fcaf4","UT","United States","Utah","VA","VI","VT","Vermont","Virgin Islands of the U.S.","Virginia","WA","WI","WV","WY","Washington","West Virginia","Wisconsin","Wyoming","aquaculture","aquaculture water use","commercial","commercial water use","consumptive use","domestic","domestic water use","environment","industrial","industrial water use","inlandWaters","irrigation","irrigation water use","livestock","livestock water use","mining","mining water use","public supply","public supply water use","reclaimed wastewater","self-supplied water use","thermoelectric power generation","thermoelectric power generation water use","water resources","water use"],"last_harvested_date":"2026-10-08T03:50:58.701596","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-1990","spatial_centroid":{"lat":39.285094,"lon":-35.576638554999604},"spatial_shape":{"coordinates":[[[-179.146711,17.88328],[-179.146711,71.387815],[179.778470112501,71.387815],[179.778470112501,17.88328],[-179.146711,17.88328]]],"type":"Polygon"},"theme":["geospatial"],"title":"Archive of water use data aggregated at different spatial scales in the United States: 1990","type":"dataset"},{"_score":9.256559,"_sort":[1791431264760,9.256559,2,"6ac5b77d-b5e4-4832-99e2-040e59375c70"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains arrays of water velocity collected on selected transects of the Missouri River \nbelow Gavin's Point Dam near River Mile 769.8.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9TDN8FK","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.b769dea1-2cd6-4336-bcd1-232466b91b32.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b769dea1-2cd6-4336-bcd1-232466b91b32","keyword":["Accoustic Doppler Current Profile data","Missouri River","Nebraska","South Dakota","USGS:b769dea1-2cd6-4336-bcd1-232466b91b32","Water Velocity","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.912755, 42.701457, -96.822603, 42.736215","theme":["geospatial"],"title":"Postconstruction water velocity arrays collected at selected transects on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"},"description":"This data set contains arrays of water velocity collected on selected transects of the Missouri River \nbelow Gavin's Point Dam near River Mile 769.8.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d09d9782-6115-4a8c-994f-c8b39118f3fd","harvest_record_raw":"https://catalog.data.gov/harvest_record/d09d9782-6115-4a8c-994f-c8b39118f3fd/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b769dea1-2cd6-4336-bcd1-232466b91b32","keyword":["Accoustic Doppler Current Profile data","Missouri River","Nebraska","South Dakota","USGS:b769dea1-2cd6-4336-bcd1-232466b91b32","Water Velocity","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-10-08T03:47:44.760299","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"postconstruction-water-velocity-arrays-collected-at-selected-transects-on-the-missouri-riv","spatial_centroid":{"lat":42.7153602,"lon":-96.8766942},"spatial_shape":{"coordinates":[[[-96.912755,42.701457],[-96.912755,42.736215],[-96.822603,42.736215],[-96.822603,42.701457],[-96.912755,42.701457]]],"type":"Polygon"},"theme":["geospatial"],"title":"Postconstruction water velocity arrays collected at selected transects on the Missouri River downstream from Gavins Point Dam near River Mile 769.8","type":"dataset"},{"_score":15.579861,"_sort":[1791431002324,15.579861,0,"a7769235-a6ce-49f2-bc4d-2b56e11db3f0"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Pigati, Jeffrey S.","hasEmail":"mailto:jpigati@usgs.gov"},"description":"Expanded excavations at White Sands National Park have unearthed 20 stratigraphic horizons containing in situ human footprints, megafaunal trackways, and linear features created by travois. Novel radiocarbon dating of conifer pollen, combined with ages of aquatic seeds, refines the chronology of the footprint-bearing sequence to between 23.5 and 21.7 ka. Biomarker, pollen, and stratigraphic evidence indicate a complete overturning of the environment from a perennial lake to a playa and capture a large aridification episode coincident with Dansgaard-Oeschger event 2 at 23.2 ka, which shrank pluvial Lake Otero and allowed people to traverse the former shoreline area for nearly two millennia. This well-dated and highly resolved paleoclimate record provides compelling evidence that humans in North America experienced dramatic environmental changes during the Last Glacial Maximum.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P13W7HTM","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.696aa04bd4be025217c97de0.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_696aa04bd4be025217c97de0","keyword":["Climatology","Hydrology","USGS:696aa04bd4be025217c97de0","ancient human footprints","chronology","organic biomarkers","radiocarbon dating pollen","stratigraphy"],"modified":"2026-10-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-106.4500, 32.8000, -106.2000, 32.9500","theme":["geospatial"],"title":"Date release for Humans experienced abrupt environmental changes at White Sands during the Last Glacial Maximum"},"description":"Expanded excavations at White Sands National Park have unearthed 20 stratigraphic horizons containing in situ human footprints, megafaunal trackways, and linear features created by travois. Novel radiocarbon dating of conifer pollen, combined with ages of aquatic seeds, refines the chronology of the footprint-bearing sequence to between 23.5 and 21.7 ka. Biomarker, pollen, and stratigraphic evidence indicate a complete overturning of the environment from a perennial lake to a playa and capture a large aridification episode coincident with Dansgaard-Oeschger event 2 at 23.2 ka, which shrank pluvial Lake Otero and allowed people to traverse the former shoreline area for nearly two millennia. 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The dataset for Range Permits is needed to implement the solution for the NRM Range Permit Map modernization. The current legacy custom solution is being modernized with an out of the box solution leveraging ArcGIS Online and ArcPro. This internal read-only dataset for Range Permits and associated Allotments will be the input to this modernized solution for the NRM Range Permit Map. This will deliver value to the Range Management program and make generating official range permit maps easier and more efficient. This provides benefit to the government overall by leveraging Commercial Off The Shelf (COTS) products over custom development to migrate the current legacy application from ArcMap and legacy Citrix to ArcGIS Pro in VDI. This modernized solution will be accessible via web browser in any environment to Range Permit Administrators on the FS network. Sensitive data regarging permit holder information has been removed from this dataset.

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The mission of the NMMR is to preserve abandoned mine maps, to correlate those maps to the surface topography, and to provide the public with quality map products and services. It serves as a point of reference for maps and other information on surface and underground coal, metal, and non-metal mines from throughout the United States. It also serves as a location to retrieve mine maps in an emergency. Some of the information that can be found in the repository includes: Mine and company names, Mine plans including mains, rooms, and pillars, Man-ways, shafts, and mine surface openings. Geological information such as coal bed names, bed thicknesses, bed depths and elevations, bed outcrops, drill-hole data, cross-sections, stratigraphic columns, and mineral assays. Geographical information including historic railroad lines, roads, coal towns, surface facilities and structures, ponds, streams, and property survey lines, gas well and drill-hole locations. Please note: Map images are not available for download from this dataset. They can be requested by contacting NMMR staff and providing them with the desired Document Numbers. NMMR staff also have additional search capabilities and can fulfill more complex requests if necessary. See the NMMR website homepage for contact information: https://www.osmre.gov/programs/national-mine-map-repository. There is no charge for noncommercial use of the maps. 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The FIAT assessments were developed using methods described in the FIAT Report (Fire and Invasive Assessment Team June 2014). This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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The FIAT assessments were developed using methods described in the FIAT Report (Fire and Invasive Assessment Team June 2014). This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix C 1-2 for the Northwestern Plains Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix C 1-2 for the Northwestern Plains Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report is the final report for the North Slope Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report is the final report for the North Slope Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix C 3-4 for the Northwestern Plains Rapid Ecoregional Assessment providing informatino about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix C 3-4 for the Northwestern Plains Rapid Ecoregional Assessment providing informatino about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the final climate change supplemental report for the Northern Great Basin Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is the final report for the San Luis Valley - Taos Plateau Level IV Ecoregion Landscape Assessment Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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Abbreviations:
GRSG - Greater Sage-Grouse
LUPA - Land Use Plan Amendment
RMP - Resource Management Plan
RMPA - Resource Management Plan Amendment
EIS - Environmental Impact Statement
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Abbreviations:
GRSG - Greater Sage-Grouse
LUPA - Land Use Plan Amendment
RMP - Resource Management Plan
RMPA - Resource Management Plan Amendment
EIS - Environmental Impact Statement
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Technical Supplement A for the rapid ecoregional assessment for the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills ecoregion. It introduces all of the technical supplements to the final report.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Technical Supplement A for the rapid ecoregional assessment for the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills ecoregion. It introduces all of the technical supplements to the final report.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendies A-C in support of the Madrean Archipelago Rapid Ecoregional Assessment ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendies A-C in support of the Madrean Archipelago Rapid Ecoregional Assessment ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report is the first volume of the Southern Great Plains Rapid Ecoregional Assessment containing information on ecological communities of the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report is the first volume of the Southern Great Plains Rapid Ecoregional Assessment containing information on ecological communities of the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendies D-E in support of the Madrean Archipelago Rapid Ecoregional Assessment ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendies D-E in support of the Madrean Archipelago Rapid Ecoregional Assessment ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the final Rapid Ecoregional Assessment for the Colorado Plateau ecoregion including management questions, ecoregional scale, data compilation, assessment of the current conditions, projecting future conditions, and applications to adaptive management.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the final Rapid Ecoregional Assessment for the Colorado Plateau ecoregion including management questions, ecoregional scale, data compilation, assessment of the current conditions, projecting future conditions, and applications to adaptive management.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix C 5 for the Northwestern Plains Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix C 5 for the Northwestern Plains Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The report, prepared by state and federal scientists and sage-grouse experts, identifies the conservation status of the Greater sage-grouse, the nature of the threats facing the species, and objectives to ensure its long-term conservation. The final report is a collaborative state and federal effort to evaluate species conservation before the Service is required to make a decision in 2015 on whether to propose protecting the species under the Endangered Species Act. The draft report was submitted for scientific peer review, and the Service addressed those comments in the final version. The intent of the report is to provide State, Federal, local and private entities with permitting or land management authority information to support conservation actions for the sage-grouse. Such actions might involve modifying or amending regulatory frameworks to ensure the long-term conservation of the species by avoiding, minimizing, or mitigating the threats to the species, or focusing voluntary conservation efforts in ways that will benefit the species the most. The final Conservations Objectives report is based on scientific principles of conservation biology and uses information and conservation strategies provided by the States to identify key areas of habitat across the species' range, as well as the threats operating within each population that need to be mitigated to conserve the species over the long term. Given the differences across the sage-grouse range, the report allows flexibility for States or other agencies to determine and develop the measures that will best achieve conservation success.\u00a0","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/08cc9cb54f494fd4b8d477b23cf89c6a/data","format":"PDF","mediaType":"application/pdf","title":"PDF Document"},{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/08cc9cb54f494fd4b8d477b23cf89c6a/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/documents/BLM-EGIS::blm-natl-usdoi-fws-grsg-greater-sage-grouse-conservation-objectives-final-report-","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=08cc9cb54f494fd4b8d477b23cf89c6a","issued":"2022-07-07T20:55:40Z","keyword":["BER","BLM","CED","California","Colorado","EIS","GRSG","Greater Sage-grouse","HUB-GRSG","Idaho","Management","Montana","Nevada","North Dakota","Oregon","South Dakota","USFWS","Utah","Wildlife","Wyoming","biota","environment"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/documents/BLM-EGIS::blm-natl-usdoi-fws-grsg-greater-sage-grouse-conservation-objectives-final-report-","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2024-06-22T08:30:23Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-124.4783,29.0842,-82.6747,49.0004","theme":["non-geospatial"],"title":"BLM Natl USDOI FWS GRSG Greater Sage-Grouse Conservation Objectives Final Report "},"description":"The U.S. Fish and Wildlife Service (Service) is making available a final report that is designed to help guide the efforts of the States and other partners to conserve the Greater sage-grouse with a landscape level strategy that will benefit the species while maintaining a robust economy in the West. 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Such actions might involve modifying or amending regulatory frameworks to ensure the long-term conservation of the species by avoiding, minimizing, or mitigating the threats to the species, or focusing voluntary conservation efforts in ways that will benefit the species the most. The final Conservations Objectives report is based on scientific principles of conservation biology and uses information and conservation strategies provided by the States to identify key areas of habitat across the species' range, as well as the threats operating within each population that need to be mitigated to conserve the species over the long term. Given the differences across the sage-grouse range, the report allows flexibility for States or other agencies to determine and develop the measures that will best achieve conservation success.\u00a0","distribution_titles":["PDF Document","ISO-19139 metadata","ArcGIS Hub Dataset"],"harvest_record":"https://catalog.data.gov/harvest_record/4af10483-ef16-416f-b05d-29b3ffb1c8cb","harvest_record_raw":"https://catalog.data.gov/harvest_record/4af10483-ef16-416f-b05d-29b3ffb1c8cb/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=08cc9cb54f494fd4b8d477b23cf89c6a","keyword":["BER","BLM","CED","California","Colorado","EIS","GRSG","Greater Sage-grouse","HUB-GRSG","Idaho","Management","Montana","Nevada","North Dakota","Oregon","South Dakota","USFWS","Utah","Wildlife","Wyoming","biota","environment"],"last_harvested_date":"2026-10-07T21:36:09.127556","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"Bureau of Land Management","slug":"blm-natl-usdoi-fws-grsg-greater-sage-grouse-conservation-objectives-final-report","spatial_centroid":{"lat":37.05068,"lon":-107.75686},"spatial_shape":{"coordinates":[[[-124.4783,29.0842],[-124.4783,49.0004],[-82.6747,49.0004],[-82.6747,29.0842],[-124.4783,29.0842]]],"type":"Polygon"},"theme":["non-geospatial"],"title":"BLM Natl USDOI FWS GRSG Greater Sage-Grouse Conservation Objectives Final Report ","type":"dataset"},{"_score":8.169146,"_sort":[1791408968585,8.169146,2,"93ba34da-843c-4500-9079-e346a2ecef3b"],"access_level":"public","dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, BLM_OC_Fire_Geospatial","hasEmail":"mailto:BLM_OC_Fire_Geospatial@blm.gov"},"description":"
Greater Sage-Grouse Wildfire, Invasive Annual Grasses & Conifer Expansion Assessment (Fire and Invasive Assessment Tool (FIAT)), June 2014.\u00a0
The purpose of this assessment is to identify priority habitat areas and management strategies to reduce the threats to Greater Sage-Grouse resulting from impacts of invasive annual grasses, wildfires, and conifer expansion. The Conservation Objectives Team (COT) report (USFWS 2013) and other scientific publications identify wildfire and conversion of sagebrush habitat to invasive annual grass dominated vegetative communities as two of the primary threats to the sustainability of Greater Sage-Grouse (Centrocercus urophasianus, hereafter sage-grouse) in the western portion of the species range. For the purposes of this assessment protocol, invasive species are limited to, and hereafter referred to, as invasive annual grasses (e.g., primarily cheatgrass [Bromus tectorum]). Conifer expansion (also called encroachment) is also addressed in this assessment.\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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Greater Sage-Grouse Wildfire, Invasive Annual Grasses & Conifer Expansion Assessment (Fire and Invasive Assessment Tool (FIAT)), June 2014.\u00a0
The purpose of this assessment is to identify priority habitat areas and management strategies to reduce the threats to Greater Sage-Grouse resulting from impacts of invasive annual grasses, wildfires, and conifer expansion. The Conservation Objectives Team (COT) report (USFWS 2013) and other scientific publications identify wildfire and conversion of sagebrush habitat to invasive annual grass dominated vegetative communities as two of the primary threats to the sustainability of Greater Sage-Grouse (Centrocercus urophasianus, hereafter sage-grouse) in the western portion of the species range. For the purposes of this assessment protocol, invasive species are limited to, and hereafter referred to, as invasive annual grasses (e.g., primarily cheatgrass [Bromus tectorum]). Conifer expansion (also called encroachment) is also addressed in this assessment.\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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This report contains Appendix C 3-4 for the Middle Rockies Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendix C 3-4 for the Middle Rockies Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the Main Report and Appendicies A and B for the Middle Rockies Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the Main Report and Appendicies A and B for the Middle Rockies Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report is the second volume of the Southern Great Plains Rapid Ecoregional Assessment containing information on species and assemblages of the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report is the second volume of the Southern Great Plains Rapid Ecoregional Assessment containing information on species and assemblages of the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This documents includes examples of case studies supporting the Central Basin and Range Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This documents includes examples of case studies supporting the Central Basin and Range Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the full final Rapid Ecoregional Assessment report including appendices for the Central Yukon ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains the full final Rapid Ecoregional Assessment report including appendices for the Central Yukon ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document includes Appendices F, G, and H for the Northwestern Plains Rapid Ecoregional Assessment providing information about a data quality evaluation, ecological intactness, and NatureServe Climate Change Vulnerability Index (NSCCVI) reports for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document includes Appendices F, G, and H for the Northwestern Plains Rapid Ecoregional Assessment providing information about a data quality evaluation, ecological intactness, and NatureServe Climate Change Vulnerability Index (NSCCVI) reports for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix C for the Mojave Basin and Range Rapid Ecoregional Assessment providing details about the geographic location of the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix C for the Mojave Basin and Range Rapid Ecoregional Assessment providing details about the geographic location of the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix E for the Mojave Basin and Range Rapid Ecoregional Assessment providing references used in completing the Assessment for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix E for the Mojave Basin and Range Rapid Ecoregional Assessment providing references used in completing the Assessment for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix F for the Mojave Basin and Range Rapid Ecoregional Assessment providing case studies supporting the Assessment for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix F for the Mojave Basin and Range Rapid Ecoregional Assessment providing case studies supporting the Assessment for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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Multiple government\u00a0agencies, including the Bureau of Land Management (BLM), US Geological Survey (USGS) and US Fish and Wildlife Service\u00a0(USFWS), and partners are\u00a0collectively\u00a0contributing data layers to this viewer. \u00a0These data are related to sagebrush ecosystems, fire and\u00a0invasive\u00a0species, and the Greater Sage-Grouse\u00a0(GRSG).\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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Multiple government\u00a0agencies, including the Bureau of Land Management (BLM), US Geological Survey (USGS) and US Fish and Wildlife Service\u00a0(USFWS), and partners are\u00a0collectively\u00a0contributing data layers to this viewer. \u00a0These data are related to sagebrush ecosystems, fire and\u00a0invasive\u00a0species, and the Greater Sage-Grouse\u00a0(GRSG).\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This report contains Appendices A-D providing more details supporting the Colorado Plateau Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendices A-D providing more details supporting the Colorado Plateau Rapid Ecoregional Assessment.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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Warm Springs Valley/Western Great Basin - Greater Sage-Grouse Wildfire, Invasive Annual Grasses, and Conifer Expansion Assessment Document, March 2015.\u00a0
The FIAT assessments were developed using methods described in the FIAT Report (Fire and Invasive Assessment Team June 2014). This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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Warm Springs Valley/Western Great Basin - Greater Sage-Grouse Wildfire, Invasive Annual Grasses, and Conifer Expansion Assessment Document, March 2015.\u00a0
The FIAT assessments were developed using methods described in the FIAT Report (Fire and Invasive Assessment Team June 2014). This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.\u00a0\u00a0
Point of Contact:\u00a0Bureau of Land Management, National Operations Center,\u00a0Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix C 1-2 for the Northwestern Plains Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix C 1-2 for the Northwestern Plains Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is the main report for the Mojave Basin and Range Rapid Ecoregional Assessment ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is the main report for the Mojave Basin and Range Rapid Ecoregional Assessment ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendix H for the Middle Rockies Rapid Ecoregional Assessment providing NatureServe Climate Change Vulnerability Indices (NSCCVI) for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendix H for the Middle Rockies Rapid Ecoregional Assessment providing NatureServe Climate Change Vulnerability Indices (NSCCVI) for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.
This document is Appendix B1 for the Northern Great Basin Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This document is Appendix B1 for the Northern Great Basin Rapid Ecoregional Assessment providing information about change agents for the ecoregion.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendices A-F for the Seward Peninsula - Nulato Hills - Kotzebue Lowlands Rapid Ecoregional Assessment Final Report.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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This report contains Appendices A-F for the Seward Peninsula - Nulato Hills - Kotzebue Lowlands Rapid Ecoregional Assessment Final Report.
Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov
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