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This data set consists of a detailed digital map of individual irrigated fields and a summary of the irrigated acreage for the 2018 growing season developed for Sarasota County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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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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The "Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 1-kilometer moving window" raster dataset quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and roads and railroads) for all lands in Colorado. The terrestrial development index (TDI) represents the total percentage of the estimated surface disturbance footprint from development within a 1-kilometer (km) radius moving window. The TDI scores range from 0 to 100 percent. Methods are described in the companion report (see "Larger Work" section).
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Dataset contains locations of drainage tile permits in South Dakota obtained from County and Local Water Board records. The counties included are: Brown, Deuel, Grant, Hamlin, Hanson, Kingsbury, Lake, McCook, Minnehaha, Moody, Roberts, Spink, and Turner. The date permits records were collected vary by county. A majority of the permits from counties were collected as of January 2012. Two counties (Hanson and Minnehaha) were updated in December,2013. In addition to the location (as a TRS) and available (if given)pipe information recorded on the permit, this dataset provides the latitude and longitude of the location given on the permit, which is not typically provided on the permit application or record. Additionally,...
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The GIS shapefile and summary tables provide irrigated agricultural land-use for Hendry and Palm Beach Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Hendry and Palm Beach Counties, Florida. A map image of the shapefile is provided in the attachment.
Mule deer of the Kaibab North herd on the Kaibab Plateau are treasured for their historic and contemporary significance in North America. They are the densest population of mule deer in Arizona, with an estimate of 10,200 individuals in 2019. This report compiles two research efforts, the first completed by Arizona Game and Fish Department in 2014, and the second from Utah Division of Wildlife’s ongoing research started in 2017. The Kaibab Plateau is bound on the east, south, and west by vertical canyon walls which run along the Colorado River and Kanab Creek. The Kaibab North Deer herd winters among pinyon-juniper, sagebrush, and cliffrose landscapes along the west, east, and northern extents of the plateau. Portions...
Data release contains 1710 polygons representing small bodies of water within 500 meters of poultry feeding operations on the Delmarva Peninsula. Ponds were identified using the USDA's National Agriculture Imagery Program's 2016 and 2017 products. Poultry feeding operations were described in location by Soroka and Duren (2020).
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County livestock data (sheep and cattle totals) from county census data (NASS, 2012). NASS [National Agricultural Statistics Service]. 2012. Census of agriculture. U.S. Department of Agriculture, Washington D.C., USA.
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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.
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This data set consists of a detailed digital map of the extent of fields and a summary of the irrigated acreage for the period between January and December 2019 compiled for Hendry and Palm Beach Counties, Florida. Attributes for each field include a general or specific crop type, irrigation system, and primary water source.


map background search result map search result map South Dakota Drainage Tile Permits Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR County Livestock 2012 Colorado Plateau Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 1-kilometer moving window GIS shapefile: Sarasota County, Florida irrigated agricultural land-use for the 2018 growing season Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) GIS shapefile and related summary data describing irrigated agricultural land-use in Hendry and Palm Beach Counties, Florida for 2019 GIS shapefile: Hendry and Palm Beach Counties, Florida irrigated agricultural land-use from January through December 2019 Water bodies within 500 meters of poultry feeding operations on the Delmarva Peninsula in 2016 and 2017 Migration Stopovers of Mule Deer in the Kaibab North Herd in Arizona GIS shapefile: Sarasota County, Florida irrigated agricultural land-use for the 2018 growing season Migration Stopovers of Mule Deer in the Kaibab North Herd in Arizona Lemhi SubBasin HEM event points, derived from data from Idaho Fish and Game, Idaho Power, Idaho Water Engineering and IDWR GIS shapefile: Hendry and Palm Beach Counties, Florida irrigated agricultural land-use from January through December 2019 GIS shapefile and related summary data describing irrigated agricultural land-use in Hendry and Palm Beach Counties, Florida for 2019 Water bodies within 500 meters of poultry feeding operations on the Delmarva Peninsula in 2016 and 2017 South Dakota Drainage Tile Permits Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 1-kilometer moving window County Livestock 2012 Colorado Plateau Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3)