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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
The 'Chewelah and Colville Districts' file is part of the Grover Heinrichs mining collection. Grover was the Vice President of Heinrichs GEOEXploration, located in Tucson, Arizona. The collection contains over 1,400 folders including economic geology reports, maps, photos, correspondence, drill logs and other related materials. The focus of much of the information is on the western United States, particularly Arizona, but the collection also includes files on mining activity throughout the United States, foreign countries, and 82 mineral commodities.
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Field crews from Northern Prairie Wildlife Research Center from 1991-1993 in Stutsman County, North Dakota and Pope and Stevens Counties, Minnesota, gathered nest success and fledgling data from nests found within Conservation Reserve Program fields and Waterfowl Production Areas. This dataset includes nesting observations of bird species found within these two field types. The dataset includes genus and species, vegetation height, distance to edge and perch, host nesting and fledgling variables, and parasitic nesting and fledgling variables.
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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
    map background search result map search result map Stevens KS Third Order Categorized Resource Selection Function Stevens KS Third Order Resource Selection Function Stevens KS Second Order Resource Selection Function Stevens KS Second Order Categorized Resource Selection Function Density and Fledging Success Data from Conservation Reserve Program Fields in North Dakota and Minnesota, 1991-1993 Stevens KS Third Order Categorized Resource Selection Function Stevens KS Second Order Categorized Resource Selection Function Stevens KS Third Order Resource Selection Function Stevens KS Second Order Resource Selection Function Density and Fledging Success Data from Conservation Reserve Program Fields in North Dakota and Minnesota, 1991-1993