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This geodatabase contains the official boundary of the Southeast Aquatic Resource Partnership with State Boundaries. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2020 to reflect revisions from the Southeast Aquatic Resource Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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This shapefile is the official boundary of the Western Native Trout Initiative. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the Western Native Trout Initiative, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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This shapefile defines the two distinct zones within the 2013 boundary of the Pacific Marine and Estuarine Fish Habitat Partnership (PMEP), a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership (NFHP). The two zones of the PMEP include the estuarine and marine nearshore complex (PMEP focus area, coastal subregions, and nearshore marine waters) of the states of California, Oregon, and Washington.
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This shapefile is the official boundary of the Hawaii Fish Habitat Partnership. The shapefile was developed in 2013 to reflect the boundary as defined by the Hawaii Fish Habitat Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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This shapefile is the official boundary of the Eastern Brook Trout Joint Venture. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the Eastern Brook Trout Joint Venture, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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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 data release pertains to a seepage investigation and dye tracing study conducted in the Big Creek watershed of Newton County, Arkansas. The seepage dataset includes geospatial files of discharge measurement points and zero-flow observations along with vector lines delineating losing and gaining stream reaches. The dye tracing dataset consists of geospatial files of monitoring sites, dye injection location, and dye flow paths. Hydrologic systems in karst environments have a high degree of interconnectivity between surface water and groundwater systems. Because of this interconnectivity, activities which occur on the surface in karst environments have a direct impact on the water quality and quantity of karst...
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This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. To more precisely identify areas where native species may presently be found, a map was generated that considers the following three categories of habitat quality: High, areas dominated by native vegetation; Medium, areas dominated by nonnative vegetation; and Low, highly modified landscapes. The primary source for mapping these three categories is the HIGAP land-cover classification (Gon, 2006). The High category includes all HIGAP land-cover classes that are considered to be either native dominated or mixed native and nonnative in order to represent those areas that have substantial native-species composition....
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Estimates of county tile drainage in the Mississippi River Basin. Data Sources: 2012 USDA NASS Census of Agriculture; World Resources Institute. 2008. Assessing Farm Drainage; USGS Northern Prairie Wildlife Research Center. 2014. Assessment of agricultural subsoil pattern tile drainage on wetland hydrology and ecosystem services in the Prairie Pothole Region. Field Description tiled_acre Acres drained by tile (NASS Census of Agriculture, 2012) or drainage permit acres in Dakotas (NPWRC, 2014), whichever is higher. pct_tile Percent of county drained by tile (tiled_acre/cty_acr*100) prmtac2 Acres under drainage permit in North or South Dakota (NPWRC, 2014). Best_Guess Acres drained by tile (WRI - Assessing...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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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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This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
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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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Almost all the pictures acquired by Mariner 10 that were used for mapping were obtained during the first encounter: those covering the southeast half of the quadrangle are incoming close-encounter images, and those covering the north-west corner are outoing close-encounter images. At the time the pictures were obtained, the terminator was at about long 7° to 8°, within the eastern part of the quadrangle. A large gap in coverage between in the incoming and outgoing images appears as a northeast-trending diagonal blank strip on the base map. A small part of this gap was filled in the southwestern part of the quadrangle by very poor second-encounter images.
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...


map background search result map search result map Official Recognized Boundary of Eastern Brook Trout Joint Venture, 2013 Official Recognized Boundary of Hawaii Fish Habitat Partnership, 2013 Official Recognized Boundary of Western Native Trout Initiative, 2013 Official Recognized Zones of Pacific Marine and Estuarine Fish Habitat Partnership, 2013 Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Wave Height Data for the Gulf of Mexico Hawaii Habitat Quality (HI_HabQual) County Tile Drainage - Mississippi River Basin Soils (SSURGO), Clear Lake NWR Hydrospatial Framework for the Laurentian Great Lakes Rate of shoreline change statistics for New York State coastal wetlands Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Geologic Map of the Victoria Quadrangle of Mercury Official Recognized Boundary of Southeast Aquatic Resource Partnership with State Boundaries, 2020 Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas 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 Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Soils (SSURGO), Clear Lake NWR Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Rate of shoreline change statistics for New York State coastal wetlands Official Recognized Boundary of Hawaii Fish Habitat Partnership, 2013 Hawaii Habitat Quality (HI_HabQual) Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Wave Height Data for the Gulf of Mexico Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Official Recognized Zones of Pacific Marine and Estuarine Fish Habitat Partnership, 2013 Hydrospatial Framework for the Laurentian Great Lakes Official Recognized Boundary of Eastern Brook Trout Joint Venture, 2013 County Tile Drainage - Mississippi River Basin Official Recognized Boundary of Southeast Aquatic Resource Partnership with State Boundaries, 2020 Geologic Map of the Victoria Quadrangle of Mercury Official Recognized Boundary of Western Native Trout Initiative, 2013