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These data have been collected as part of a cooperative project in between the U.S. Geological Survey, Colorado Springs Utilities, and Colorado Springs City Engineering. This project began in 2005 and has collected macroinvertebrate samples from Fountain Creek and its tributaries to monitor the biological condition of this watershed. Provided in this data release are Multimetric Index (MMI) values of aquatic macroinvertebrate assemblages using four different sampling methods. There are two subsets of these data included: (1) MMI values of macroinvertebrate data collected from 2010 to 2012 at 15 sites as part of an invertebrate sample method comparison Scientific Investigations Report (SIR) titled “Comparability...
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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 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
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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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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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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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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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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 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 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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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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Summary of project, results, and discussion for the study completed by Shannon K. Brewer, Thomas A. Worthington, Timothy B. Grabowski, Julia Mueller, Nicole Farless, and Mark S. Gregory. Summary written by the Great Plains Landscape Conservation Cooperative (GP LCC).


map background search result map search result map Stevens KS Third Order Categorized Resource Selection Function Gove KS Third Order Resource Selection Function Hamilton KS Third Order Categorized Resource Selection Function Hayes NE Third Order Resource Selection Function Denver CO Third Order Resource Selection Function Yuma CO Third Order Categorized Resource Selection Function Phillips CO Third Order Resource Selection Function Phillips CO Third Order Categorized Resource Selection Function Beaver OK Third Order Categorized Resource Selection Function Rawlins KS Second Order Resource Selection Function Gray KS Second Order Resource Selection Function Morton KS Second Order Resource Selection Function Kimbal NE Second Order Resource Selection Function Deuel NE Second Order Categorized Resource Selection Function Mora NM Second Order Categorized Resource Selection Function Crowley CO Second Order Categorized Resource Selection Function Jefferson CO Second Order Resource Selection Function Jefferson CO Second Order Categorized Resource Selection Function Project Summary: Evaluating The Reproductive Success Of Arkansas River Shiner By Assessing Early Life-History Stage Dispersal And Survival At A Landscape Level Multimetric Index macroinvertebrate values from the Fountain Creek Basin, Colorado 2005 to 2016 Crowley CO Second Order Categorized Resource Selection Function Morton KS Second Order Resource Selection Function Phillips CO Third Order Resource Selection Function Phillips CO Third Order Categorized Resource Selection Function Denver CO Third Order Resource Selection Function Stevens KS Third Order Categorized Resource Selection Function Hayes NE Third Order Resource Selection Function Deuel NE Second Order Categorized Resource Selection Function Gray KS Second Order Resource Selection Function Hamilton KS Third Order Categorized Resource Selection Function Gove KS Third Order Resource Selection Function Multimetric Index macroinvertebrate values from the Fountain Creek Basin, Colorado 2005 to 2016 Rawlins KS Second Order Resource Selection Function Mora NM Second Order Categorized Resource Selection Function Jefferson CO Second Order Resource Selection Function Jefferson CO Second Order Categorized Resource Selection Function Kimbal NE Second Order Resource Selection Function Beaver OK Third Order Categorized Resource Selection Function Yuma CO Third Order Categorized Resource Selection Function Project Summary: Evaluating The Reproductive Success Of Arkansas River Shiner By Assessing Early Life-History Stage Dispersal And Survival At A Landscape Level