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U.S. EPA Region Boundaries GIS layer. The U.S. EPA Region boundaries layer defines the areal extent of EPA regions within the contiguous U.S.
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U.S. State boundaries - The U.S. State Boundaries layer defines the areal extent of states within the contiguous U.S. at a 1:1,000,000 scale.
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U.S. County Boundaries - 2015 County and Equivalent National entities GIS shapefile with a 1:500,000 resolution. The GIS shapefile was downloaded as a zipped file from the U.S. Census Bureau Master Address File/Topologically Integrated Goegraphic Encoding and Referencing system (MAF/TIGER) geographic database.
Entity_and_Attribute_Detail_Citation: https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html
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HUC-6 Watershed Boundaries - The Watershed Boundary Dataset (WBD) defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD). This dataset represents the hydrologic unit boundaries to the 6-digit level (1:24,000 scale) for the entire United States. WBD data are delivered as a dataset of polygons that define the boundary of the watershed. The HUC describes where the unit is in the country and the level of the unit.
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Bacillus anthracis PCR detection results (rpoB, pXO1, pXO2 genetic markers). Layers include, "Bacillus sp. PCR Amplicon Strength," "pXO1 pag/lef Genetic Markers," "pXO2 Genetic Marker," "pXO1 and pXO2 Marker Total (pXO1 pag/pXO1 lef/pXO2)," and "rpoB Gene PCR Results." 2007-2013 survey results for the rpoB gene PCR amplicon detection analysis of Bacillus species and B. anthracis presence/absence data were determined in 4,770 soil samples collected across the contiguous United States. Labels for the Bacillus species PCR results and rpoB PCR results of low, medium, high, and none correspond to the associated data release (F7WW7FRJ) scale of l,m,h,n.
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B. anthracis outbreak counties (2000-2015) - illustrates the counties reporting outbreaks or cases of Bacillus anthracis in agricultural animals and/or wildlife since 2000. State county outbreak and case data were compiled from state animal health organizations and the National Animal Health Reporting System (Griffin et al, 2014; USDA, 2014); U.S. Department of Agriculture, Animal and Plant Health Inspection Service. Available online:
http://www.aphis.usda.gov/wps/portal/aphis/home/ (accessed on 8 August 2014). Counties with confirmed outbreaks were assigned a value of "1" and counties with no outbreaks were assigned a value of "O".
Griffin, D. W., Silvestri, E. E., Bowling, C. Y., Boe, T., Smith, D. B., & Nichols, T. L. (2014). Anthrax and the geochemistry of soils in the contiguous United States. Geosciences, 4(3), 114-127,
http://www.mdpi.com/2076-3263/4/3/114/htm.
National Oceanographic and Atmospheric Administration (NOAA) U.S. Climate Normals for Precipitation 1981-2010 (in./yr.) are a three-decade average of monthly precipitation values. This layer has been cached to display between the continental scale and a scale of multiple counties to allow for quick rendering, while keeping the cache size minimal. NOAA 1981-2010 normal data are available for download at
ftp://ftp.ncdc.noaa.gov/pub/data/normals/1981-2010/products/
Arguez, A., I. Durre, S. Applequist, R. S. Vose, M. F. Squires, X. Yin, R. R. Heim, Jr., and T. W. Owen, 2012: NOAA's 1981-2010 U.S. Climate Normals: An Overview. Bulletin of the American Meteorological Society, 93, 1687-1697,
https://doi.org/10.1175/BAMS-D-11-00197.1
United States Department of Agriculture (USDA) Census Data - The USDA National Agricultural Statistics Service (NASS) conducted an Agricultural Census in 2012. The density values are calculated as population/square km and displayed in percentile classes of 10%. Bison data (2012), all cattle (2012 - including Beef, Milk, and calves), Equine (2012 - including Donkeys, Mules, Horses and Ponies), farm raised Deer, and farm raised Elk were downloaded at the county level for the contiguous United States. Equine data are available as two separate layers (Donkeys and Mules as one and Horses and Ponies as another). Deer and Elk were also separate datasets. Deer and Elk refer to only farm raised, not wild deer and elk. The Equine layers were combined into one dataset. Deer and Elk were combined into one dataset.
Entity_and_Attribute_Detail_Citation: https://quickstats.nass.usda.gov/
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Estimated Non-Agricultural Bison Population 2006-2014 - Non-agricultural (public lands, Native American land, non-profits, private land) locations of federal, state, local, and non-profit bison herd data was compiled from multiple sources. This data is displayed as the population within each area and divided into 5 percentile groups (quintiles).
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Department of the Interior, 2014, DOI bison report: Looking forward. Natural Resource Report NPS/NRSS/BRMD/NRR—2014/821
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National Park Service, Fort Collins, Colorado; Gillins, S., Stone, J., Doely, L., Zaluski, M., Jones, A., Sheppard, S., Sondenaa, A., Wallen, R., Clarke, R., Barndt, S., 2014, 2014 Annual Report of the Interagency Bison Management Plan.
http://www.ibmp.info/Library/AnnualReports/2014_IBMP_AnnualReport_final.pdf
Slope, Soil pH, Flood Frequency Class, and Drainage Class derived from SSURGO (Soil survey geographic database) and STATSGO (State soil geographic database) soil datasets. The SSURGO and STATSGO databases contain information about soil, collected by the National Cooperative Soil Survey over the course of a century. The polygon SSURGO shapefiles and polygon STATSGO shapefiles were joined to the tabular files within each state’s file geodatabase. The first join to be made uses the “mukey” field as the common identifier to join the slope_r, drainagecl, and cokey fields from the “component” table. The second join to be made uses the cokey field as the common identifier to join the ph1to1h2o_r field from the “CHorizon” table. The final join to be made uses the cokey field as the common identifier to join the flodfreqcl field from the “comonth” table. These three joins were repeated for each state. Finally, the SSURGO and STATSGO polygons for each state were merged to create a single Contiguous U.S. shapefile. For the SSURGO data, to create a simpler file that will render more quickly on the web application, the fields were dissolved using the dissolve tool in ArcGIS 10.3.1. Flood frequency maps are the predicted probablility of flooding, areas that are blank do not have a predicted probability of flooding SSURGO (Maps are made at scales ranging from 1:12,000 to 1:31,680) and STATSGO (STATSGO was mapped on the U.S. Geological Survey's 1:250,000-scale topographic quadrangle series). Descriptions for the SSURGO and STATSGO classes are available at the Soil Survey website (
http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/ref/?cid=nrcs142p2_054253). (SSURGO metadata is available at:
http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/home/?cid=nrcs142p2_053631. STATSGO metadata available at:
http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053631. SSURGO and STATSGO data were downloaded for each state through the USDA Geospatial Data Gateway.
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USGS Soil Geochemistry - Inverse Distance Weighted interpolations were made for the elements and minerals in each soil layer from samples taken by the U.S. Geological Survey and presented in Data Series 801. Interpolations for most elements and minerals were made using a resolution of 400m and a fixed search radius of 75 km, based on the methods described in OFR-1082. For more information on interpolations for each soil horizon, see each layer's service description. The final outputs of the interpolations was exported as .tif files. The following elements and minerals, available in Smith et al, 2013, were not included in these maps due to their low precense: Selenium, Silver, Indium, Tellurium, Cesium, Aragonite, Total Zeolites, Heulandite, Analcime, Pyroxene, Gibbsite, Goethite, Gypsum, Hematite, Pyrite, Talc, Serpentine.
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Smith, D.B., Cannon, W.F., Woodruff, L.G., Solano, Federico, Kilburn, J.E., and Fey, D.L., 2013, Geochemical and mineralogical data for soils of the conterminous United States: U.S. Geological Survey Data Series 801, 19 p.,
http://pubs.usgs.gov/ds/801/.
Smith, D.B., Cannon, W.F., Woodruff, L.G., Solano, Federico, and Ellefsen, K.J., 2014, Geochemical and mineralogical maps for soils of the conterminous United States: U.S. Geological Survey Open-File Report 2014–1082, 386 p.,
https://doi.org/10.3133/ofr20141082. ISSN 2331-1258 (online)
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USGS 2012 100m National Elevation Dataset (NED) - 100-meter resolution elevation of the conterminous United States. The elevation data were derived by the USGS from the USGS National Elevation Dataset (NED) data. This dataset was designed by the USGS to provide a seamless national elevation dataset. This layer has been cached to display between the continental scale and a scale of multiple counties to allow for quick rendering while keeping the cache size minimal.
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National Digital Forecast Database (NDFD) Real-Time 72 Hour Precipitation Forecast. This feed displays precipitation forecasts for the 72 hours following time of use. The precipitation data is Quantitative Precipitation Forecast (QPF), which is the amount of expected rainfall (in hundredths of inches), every six hours. This data is recorded by NDFD at 0000, 0600, 1200 and 1800 UTC.
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