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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. https://www.fws.gov/science/catalog
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. https://www.fws.gov/science/catalog
Ecoregions of the United States, developed by Robert G. Bailey of the Forest Service Inventory and Monitoring Institute. From metadata: this data set shows ecoregions, which are ecosystems of regional extent, in the United States, Puerto Rico, and the U.S. Virgin Islands. Four levels of detail are included to show a hierarchy of ecosystems. The largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature. Divisions represent the climates within domains and are differentiated based on precipitation levels and patterns as well as temperature. Divisions are subdivided into provinces, which are differentiated based on vegetation or other natural...
Categories: Data; Types: Downloadable, Map Service, Shapefile; Tags: Alabama, Alaska, Arizona, Arkansas, Bailey’s ecoregions, All tags...
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This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
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Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence and based on available spatial data. We developed a multiscale index of landscape intactness for use as a broad-scale indicator of resource condition for the Bureau of Land Management’s (BLM) Landscape Approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales. To calculate landscape intactness we combined the terrestrial development index (TDI) summarized at two scales (using a 2.5- and a...
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These tables contain geochemical data collected for tephra samples either correlated with or in the same type section with the Ibex Hollow Tuff. Most samples were collected by Andrei Sarna-Wojcicki and Mike Perkins, but some were submitted to the U.S. Geological Survey Tephrochronology Project for analysis by other persons. Electron microprobe analysis (EMA) was performed at the U.S. Geological Survey in Menlo Park California, at the University of Utah in Salt Lake City Utah, and at the University of Toronto in Toronto Ontario Canada. Bulk glass EMA results have been normalized to 100% anhydrous following standard normalization procedures. Individual shard analyses are unnormalized. Instrumental neutron activation...
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This data release is a compilation of six earlier reports on natural occurrences of asbestos in the conterminous United States, which were published separately; these are Van Gosen (2005, 2006, 2007, 2008, 2010) and Van Gosen and Clinkenbeard (2011). The earlier reports were compilations divided by regions of the United States; in each report the data were provided in spreadsheet format. This data release combines the regional datasets into a single compilation for the entire conterminous United States, and includes shapefiles and spreadsheet formats. This data release provides site-by-site information on 876 natural occurrences of asbestos reported within the conterminous United States. This dataset allows the...
This data set includes the relative production scenarios for big bluestem [3.08(Temp) -0.41(Precip)+0.14(Silt) - 0.16(Temp)^2 -31.9]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011),...


map background search result map search result map Seward KS Third Order Resource Selection Function Rawlins KS Third Order Resource Selection Function Gray KS Third Order Resource Selection Function Wallace KS Third Order Categorized Resource Selection Function Gray KS Second Order Categorized Resource Selection Function Cheyenne KS Second Order Categorized Resource Selection Function Grant KS Second Order Resource Selection Function Greeley KS Second Order Resource Selection Function Greeley KS Second Order Categorized Resource Selection Function Wallace KS Second Order Categorized Resource Selection Function Landscape Intactness Index for the Western United States Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep raster) Reported historic asbestos mines, historic asbestos prospects, and other natural occurrences of asbestos in the conterminous United States Tephra geochemistry of the Ibex Hollow Tuff, a 12-Ma super-eruption Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep raster) Grant KS Second Order Resource Selection Function Seward KS Third Order Resource Selection Function Wallace KS Third Order Categorized Resource Selection Function Wallace KS Second Order Categorized Resource Selection Function Greeley KS Second Order Categorized Resource Selection Function Greeley KS Second Order Resource Selection Function Gray KS Second Order Categorized Resource Selection Function Gray KS Third Order Resource Selection Function Cheyenne KS Second Order Categorized Resource Selection Function Rawlins KS Third Order Resource Selection Function Tephra geochemistry of the Ibex Hollow Tuff, a 12-Ma super-eruption Landscape Intactness Index for the Western United States Reported historic asbestos mines, historic asbestos prospects, and other natural occurrences of asbestos in the conterminous United States