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This dataset depicts the cooperative interagency 1:24,000 scale land ownership status for the State of Utah. Administrative ownership polygons are updated by The State of Utah School and Institutional Trust Lands Administration (SITLA) and the United States Bureau of Land Management (BLM) Salt Lake City office on a regular basis. Revisions are posted monthly. This data was originally digitized for the 1993 U. S. Fish and Wildlife Utah GAP Analysis project by the Remote Sensing and GIS Laboratories, Department of Geography and Earth Resources, Utah State University (RSGIS/USU). Maintenance of this data layer is performed by a cooperative federal and state effort. The Utah School and Institutional Trust Lands Administration...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of South Dakota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of South Dakota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Louisiana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Desert Fish Habitat Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Desert Fish Habitat Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled;...
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This shapefile contains sub-indices comprised of various anthropogenic land use/covers respresentative of the risk of potential habitat degradation to streams within the state of Hawaii. This file is an updated version of 'nfhap_hci_hawaii.shp' and incorporates the suggestion from the Hawaii Fish Habitat Partnership of removing trails and paths from the road network to help better represent amounts of disturbance in remote areas such as the Na Pali coast. Subindices are summarized for local and network catchments specific to perennial stream reaches throughout the state. The local and network catchments were developed using a modified version of the 1:24,000 scale National Hydrography Dataset (NHD) as a baselayer....
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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This dataset includes 800m resolution long-term average estimates of the contributions to the quick-flow runoff component of the water budget over the time period from 2000-2013 and annual estimates for the individual years. These estimates were developed with a new empirical regression for surface runoff data generated from a USGS-developed hydrograph separation program (PART) run on streamflow data from 1434 gaged watersheds as a function of surficial geology type (USGS), precipitation (PRISM), and soil hydraulic conductivity (STATSGO). Irrigated water quantities reported in the 2000, 2005, and 2010 USGS Water Use datasets are also incorporated as effective additional precipitation. The contributing input datasets...
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Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment E - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment B - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment G - Lake Ontario...
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This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
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The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.
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This is the SSURGO soils data from the USDA, NRCS, clipped to the boundary of Bear Valley NWR. Some of the attributes are included in this dataset, but not the entire database which is available from the NRCS. For full metadata, see this site: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/tx/home/?cid=nrcs142p2_053631
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Soils data clipped to the Clear Lake NWR boundary. These are SSURGO soils from the USDA, Natural Resources Conservation Service.
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The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. Please...
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This data release contains the analytical results and the evaluated source data files of a geospatial analysis for identifying areas in Alaska that may have potential for sediment-hosted Pb-Zn (lead-zinc) deposits. The spatial analysis is based on queries of statewide source datasets Alaska Geochemical Database (AGDB3), Alaska Resource Data File (ARDF), and Alaska Geologic Map (SIM3340) within areas defined by 12-digit HUCs (subwatersheds) from the National Watershed Boundary dataset. The packages of files available for download are: 1. The results in geodatabase format are in SedPbZn_Results_gdb.zip. The analytical results for sediment-hosted Pb-Zn deposits are in a polygon feature class which contains the points...
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The Critical Minerals in Archived Mine Samples Database (CMDB) contains chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States. In addition, the database contains samples from archetypal deposits from 27 other countries in North America, South America, Asia, Africa and Europe. Samples were obtained from archived ore collections under the U.S. Geological Survey's project titled "Quick Assessment of Rare and Critical Metals in Ore Deposits: A National Assessment" (2008 to 2013) in an effort to begin an assessment of the Nations' previously mined ore deposits for critical minerals. Mineralized and altered rock samples were provided by the Colorado...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, Argentina, Arizona, Arkansas, Australia, All tags...
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This dataset depicts 10 foot contours derived from the USGS 1/3 arc second (10m) digital elevation model.


map background search result map search result map Utah Land Status/Ownership, 1:24,000 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership South Dakota: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Louisiana: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Hawaii Linked to NFHAP Catchments (developed using the 1:24,000 scale National Hydrography Dataset) VERSION 2.0 Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Annual average quick-flow runoff across the CONUS, 2000-2013 Soils (SSURGO), Clear Lake NWR Soils (SSURGO), Bear Valley NWR Parking Areas, Tule Lake NWR Hydrology point features, Ruby Lake NWR Contours, 10ft, Klamath Marsh NWR Hydrospatial Framework for the Laurentian Great Lakes Global Geochemical Database for Critical Minerals in Archived Mine Samples Data and results for GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Soils (SSURGO), Bear Valley NWR Soils (SSURGO), Clear Lake NWR Hydrology point features, Ruby Lake NWR Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Contours, 10ft, Klamath Marsh NWR Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Hawaii Linked to NFHAP Catchments (developed using the 1:24,000 scale National Hydrography Dataset) VERSION 2.0 Louisiana: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Utah Land Status/Ownership, 1:24,000 South Dakota: NFHAP 2010 HCI Scores and Disturbances Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Hydrospatial Framework for the Laurentian Great Lakes Parking Areas, Tule Lake NWR National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership Annual average quick-flow runoff across the CONUS, 2000-2013 Data and results for GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska Global Geochemical Database for Critical Minerals in Archived Mine Samples