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This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
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These data describe land use (summed hectares of agricultural crops: corn, soy, and small grains), individual honey bee nutrition, honey bee colony population size, and proportional honey bee colony survival among 36 apiaries across Minnesota, North Dakota, and South Dakota.
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The High Plains aquifer extends from south of about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital data set is the water-level measurements from 7,526 wells measured in both 2013 and 2015, which was used to map water-level changes, 2013 to 2015. The map was reviewed for consistency with the relevant data at a scale of 1:1,000,000.
Presence of invading annual bromes (Bromus spp.) can alter seasonal patterns of forage production and quality and require management changes for efficient use of infested rangelands in the Northern Great Plains. We studied biological impacts of the presence of brome by comparing brome infested rangeland to similar sites in which brome had been suppressed with autumn applications of atrazine [6-chloro-N-ethyl-N’-(1-methylethyl)- 1,3,5-triazine-2,4-diamine] at 0.56 kg ha-1 in 1992 and 1993. Each treatment was randomly assigned to three, 12-ha pastures. Vegetation was measured for 5 months (May to September) each year from 1993 to 1995. Each pasture was stocked with 8 crossbred steers (Bos taurus) from mid-May to...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The water-budget components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through 2009" report (Stanton and others, 2011). Data were collected and synthesized from existing climate models including the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow accumulation and...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This raster data set represents water-level change in the High Plains aquifer of the United States from 1980 to 1995, in feet. The High Plains aquifer underlies 112.6 million acres (176,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. The aquifer's saturated thickness ranges from near zero to about 1,200 feet (Weeks and Gutentag, 1981). Water-level declines...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The water-budget components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through 2009" report (Stanton and others, 2011).Data were collected and synthesized from existing climate models including the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow accumulation and...
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The High Plains aquifer underlies 111.8 million acres (about 175,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with groundwater in the aquifer area (about 1950). This data release contains the data used to map water-level changes and calculate change in recoverable water in storage in the High Plains aquifer from predevelopment (about 1950) to 2019 and from 2017 to 2019. This study was funded by the U.S. Geological Survey Groundwater and Streamflow Information Program.
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The High Plains aquifer extends from approximately 32 to 44 degrees north latitude and from 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital data set contains water-level measurements from wells screened in the High Plains aquifer and measured in both predevelopment (about 1950) and for 2017. There were 2,928 wells measured in both predevelopment (about 1950) and 2017 as well as 63 wells located in New Mexico, which were measured in predevelopment and at least once between 2013 and 2016. These water-level measurements were used to map water-level changes,...
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The High Plains aquifer extends from approximately 32 to 44 degrees north latitude and 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This dataset consists of a raster of estimated water-level changes for the High Plains aquifer from pre-irritation season, 2015 to pre-irritation season 2017. This digital dataset was created using water-level measurements from 7,699 wells measured in both 2015 and 2017. The map was reviewed for consistency with the relevant data at a scale of 1:1,000,000.
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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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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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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 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 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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The black‐tailed prairie dog (Cynomys ludovicianus) is considered an indicator species for the short grass prairie of North America; however, this species currently occupies an estimated 2% of its original distribution. Persistent and pervasive poisoning, and sylvatic plague have fragmented the remaining populations. It is not well understood how these population fragments are connected in a heterogeneous landscape of land use practices and land cover types, but quantifying population isolation and individual measures of dispersal across the landscape are essential to predicting both the vulnerability of extinction due to stochastic processes and the probability of disease emergence. To better understand how land...
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Within the five states of its range (Texas, Oklahoma, Kansas, New Mexico, and Colorado), the lesser prairie-chicken (Tympanuchus pallidicinctus, LEPC) remains present on sand sagebrush (Artemesia filifolia), mixed- and short- grass prairies of western Kansas and eastern Colorado, through portions of northwest Oklahoma, the northeast Texas panhandle, and into the shinnery oak (Quercus havardii) and sand sagebrush habitat of eastern New Mexico and western Texas. Agencies in these states monitor LEPC breeding populations annually within the known occupied range of the species, however, monitoring efforts have differed markedly among agencies and inferences have been made about populations using a variety of methods....


map background search result map search result map Range-wide Population Estimation and Monitoring for Lesser Prairie-Chickens: Sampling Design and Pilot Implementation Meade KS Third Order Resource Selection Function Bent CO Third Order Resource Selection Function Kiowa CO Third Order Resource Selection Function Lane KS Second Order Resource Selection Function Keith NE Second Order Categorized Resource Selection Function Laramie WY Second Order Categorized Resource Selection Function Kiowa CO Second Order Resource Selection Function Larimer CO Second Order Resource Selection Function Final Report: Patterns and Processes of Dispersal of Black-Tailed Prairie Dogs in a Heavily Managed Landscape of the Great Plains Landscape Conservation Cooperative (B2) Water-level change data used to map water-level changes in the High Plains aquifer, 2013 to 2015 Station_rgr024 Nutritional physiology of honey bee (Apis mellifera L.) workers across an agricultural land-use gradient dataset F02_hpwlcpd17pt Water-level change data used to map water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017 F04_hpwlc1517t_ Spatial data set of mapped water-level changes in the High Plains aquifer, 2015 to 2017 DS-777 Average Annual Recharge, 2000 to 2009, in inches estimated from the SOil WATer (SOWAT) Balance Model for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming DS-777 Average Annual Actual Evapotranspiration, 2000 to 2009, in inches estimated from the Soil Water Balance (SWB) Model for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming Water-level change, High Plains aquifer, 1980 to 1995 Data from maps of water-level changes in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, predevelopment (about 1950) to 2019 and 2017 to 2019 Lane KS Second Order Resource Selection Function Keith NE Second Order Categorized Resource Selection Function Meade KS Third Order Resource Selection Function Bent CO Third Order Resource Selection Function Laramie WY Second Order Categorized Resource Selection Function Kiowa CO Third Order Resource Selection Function Kiowa CO Second Order Resource Selection Function Larimer CO Second Order Resource Selection Function Nutritional physiology of honey bee (Apis mellifera L.) workers across an agricultural land-use gradient dataset Data from maps of water-level changes in the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, predevelopment (about 1950) to 2019 and 2017 to 2019 (B2) Water-level change data used to map water-level changes in the High Plains aquifer, 2013 to 2015 F02_hpwlcpd17pt Water-level change data used to map water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017 Range-wide Population Estimation and Monitoring for Lesser Prairie-Chickens: Sampling Design and Pilot Implementation Final Report: Patterns and Processes of Dispersal of Black-Tailed Prairie Dogs in a Heavily Managed Landscape of the Great Plains Landscape Conservation Cooperative F04_hpwlc1517t_ Spatial data set of mapped water-level changes in the High Plains aquifer, 2015 to 2017 Water-level change, High Plains aquifer, 1980 to 1995 DS-777 Average Annual Recharge, 2000 to 2009, in inches estimated from the SOil WATer (SOWAT) Balance Model for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming DS-777 Average Annual Actual Evapotranspiration, 2000 to 2009, in inches estimated from the Soil Water Balance (SWB) Model for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming