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This release contains geospatial data digitized from the Map Showing Geology, Structure, and Oil and Gas Fields in the Sterling 1x2 Degree Quadrangle, Colorado, Nebraska, and Kansas (Scott, 1978) and was compiled as part of the National Geologic Synthesis project. The geospatial data depicts the geology of this quadrangle, which is dominated by Quaternary alluvial and aeolian deposits overlying Tertiary and Cretaceous sedimentary rock, including the Ogallala formation, the Fox Hills sandstone, and the Pierre shale. The included database includes spatial data depicting the locations of mapped geologic contacts and faults, polygons denoting the mapped surficial extent of geologic formations, and structural contours...
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The US Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) and the USDA Census of Agriculture (completed every five years, most recently in 2012) are primary sources of regionally detailed data concerning the productivity, economics, land use, and multiple other characteristics of agriculture and ranching in the United States. The county-level data on farmland irrigation provides one example of the many ways in which agriculture impacts, and is impacted by, natural resource availability and sustainability. This featured dataset is acres irrigated in farmlands, 2012. Available at: www.agcensus.usda.gov/Publications/2012/</pre>
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Dedicated Dredging on the Barataria Basin Landbridge (BA-36) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...
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HEM events were created from fish screens, stream gages, and surface water diversions within the Lemhi SubBasin in Idaho. Data was gathered from the following sources: Idaho Fish and Game, Idaho Power, Idaho Water Engineering, and Idaho Water Resources Water Rights. The data assembled represented fish screens, water withdrawals from the stream, and flow gauging stations.
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Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results.
    map background search result map search result map US Department of Agriculture Census of Agriculture Economic Profiles 2012 Percent catchment under crop-rivers Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Digital database of the previously published map showing geology, structure, and oil and gas fields in the Sterling 1 degree x 2 degrees quadrangle, Colorado, Nebraska, and Kansas Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR Digital database of the previously published map showing geology, structure, and oil and gas fields in the Sterling 1 degree x 2 degrees quadrangle, Colorado, Nebraska, and Kansas Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) US Department of Agriculture Census of Agriculture Economic Profiles 2012 Percent catchment under crop-rivers