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This dataset was compiled and published as a service definition for the purpose of display in an interactive web map of the Wyoming Landscape Conservation Initiative (WLCI). The data layers selected for the dataset are a subset of the data layers in USGS Data Series 683, the Energy Map of Southwestern Wyoming, Part A - Coal and Wind (2012). Data Series 683 includes a geodatabase of all the shapefiles used as data sources. These shapefiles and their metadata can be downloaded from http://pubs.usgs.gov/ds/683/contents/Datafiles/. In order to show the most recent information about mine activity in Wyoming, an additional data layer was added to the service definition: Active Coal Mines (data set credit: Chris Carrol,...
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Predicted habitat suitability model (also known as a species distribution model) for the Mojave Ground Squirrel (Xerospermophilus mohavensis) in 5 counties (Inyo, Kern, San Bernardino, and Los Angeles), in California. This model was generated using a maximum entropy (MaxEnt, v3.3.3e) approach. This layer is a probability distribution of 'suitable habitat', where values range from 0 (very low probability of species occurrence) to 1 (very high probability of species occurrence). As with any model, prudence should be taken when evaluating model predictions or when applying the predictions to real world assessments of habitat. The logistic output values were rescaled to include the set [0,1] by subtracting the minimum...
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Predicted habitat suitability for the Mojave Ground Squirrel (Xerospermophilus mohavensis) after the LOW, MEDIUM and HIGH anthropogenic (urban, roads and cleared vegetation) and utility-scale renewable energy development (wind, solar and transmission corridors) scale factors have been applied. Scale factors are discussed in Inman et al. (2013). These data cover 5 counties (Inyo, Kern, San Bernardino, and Los Angeles) in California and were generated using a maximum entropy (MaxEnt, v3.3.3e) approach. Observation records for the targeted species were derived from a conglomerate of local sources, and are provided electronically along with this model. The model was based on 440 input localities derived from 629 observations...
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This shapefile is the official boundary of the Fishers & Farmers Partnership. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the Fishers & Farmers Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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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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Scientists with the U.S. Geological Survey and the New Mexico Bureau of Geology and Mineral Resources are estimating changes in the amount of groundwater stored in the Mesilla Basin aquifer by precisely measuring differences in the acceleration of gravity at several locations. The change in aquifer storage is an important component of the water budget. The microgravity survey will be repeated throughout 2016. The microgravity survey is part of a larger, long-term hydrologic monitoring program. The Mesilla Basin monitoring program is a cooperative effort between the USGS, the City of Las Cruces Utilities the New Mexico Office of the State Engineer, Interstate Stream Commission, New Mexico Environment Department,...
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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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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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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 map is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI2 ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed March 27, 2016). Web services, which consist of standard implementations...


map background search result map search result map Official Recognized Boundary of Fishers & Farmers Partnership, 2013 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 Energy Map of Southwestern Wyoming, Coal and Wind Xerospermophilus mohavensis Historic Habitat USRED and Anthro Scale Factors Xerospermophilus mohavensis Historic Habitat Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Hawaii Habitat Quality (HI_HabQual) Annual average quick-flow runoff across the CONUS, 2000-2013 Base layers for NY WSC gages mapper Mesilla aquifer project Web Services—Offshore of Gaviota, California Rate of shoreline change statistics for New York State coastal wetlands 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 Mesilla aquifer project Web Services—Offshore of Gaviota, California 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 Xerospermophilus mohavensis Historic Habitat USRED and Anthro Scale Factors Energy Map of Southwestern Wyoming, Coal and Wind Official Recognized Boundary of Hawaii Fish Habitat Partnership, 2013 Hawaii Habitat Quality (HI_HabQual) Xerospermophilus mohavensis Historic Habitat Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Base layers for NY WSC gages mapper Official Recognized Boundary of Fishers & Farmers Partnership, 2013 Official Recognized Zones of Pacific Marine and Estuarine Fish Habitat Partnership, 2013 Official Recognized Boundary of Eastern Brook Trout Joint Venture, 2013 Official Recognized Boundary of Southeast Aquatic Resource Partnership with State Boundaries, 2020 Annual average quick-flow runoff across the CONUS, 2000-2013 Official Recognized Boundary of Western Native Trout Initiative, 2013