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This dataset is a polygon coverage of counties limited to the extent of the Pond Creek coal zone resource areas and attributed with statistics on these coal quality parameters: ash yield (percent), sulfur (percent), SO2 (lbs per million Btu), calorific value (Btu/lb), arsenic (ppm) content and mercury (ppm) content. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C. The attributes were generated from public data found in geochemical dataset found in Chap. G, Appendix 7, Disc 1. Please see the detailed information on the geochemical attributes. The county statistical data used for this data set are found in Tables 2-5 and 17-18, Chap. G, Disc 1. Additional...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Appalachians, Bell County, KY, Boone County, WV, Breathitt County, KY, Buchanan County, VA, All tags...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. F, Appendix 7, Disc 1, and used in this study of the Fire Clay coal zone. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), and the Kentucky Geological Survey (KGS) Kentucky Coal Resources Information System (KCRIS) databases. The metadata file for the complete dataset is found in Chap. F, Appendix 8, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Fire Clay coal zone includes ash yield, sulfur content, SO2 value, gross calorific value,...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. H, Appendix 2, Disc 1, and used in this study of the Pocahontas No. 3 coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), and the West Virginia Economic and Geological Survey (WVGES) coal quality databases. The metadata file for the complete dataset is found in Chap. H, Appendix 3, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Pocahontas No. 3 coal bed includes ash yield, sulfur content,...
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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. These data have been reclassified to only show current urban and probability of urbanization >80%). More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale...
Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), All tags...
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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
Protected lands within the Mississippi River Basin (MRB).The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas....
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. H, Appendix 2, Disc 1, and used in this study of the Pocahontas No. 3 coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), and the West Virginia Economic and Geological Survey (WVGES) coal quality databases. The metadata file for the complete dataset is found in Chap. H, Appendix 3, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Pocahontas No. 3 coal bed includes ash yield, sulfur content,...
This dataset is a polygon coverage of counties limited to the extent of the Fire Clay coal zone resource areas and attributed with statistics on these coal quality parameters: ash yield (percent), sulfur (percent), SO2 (lbs per million Btu), calorific value (Btu/lb), arsenic (ppm) content and mercury (ppm) content. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C. The attributes were generated from public data found in the geochemical dataset found in Chap. F, Appendix 7, Disc 1. Please see the metadata file found in Chap. F, Appendix 8, Disc 1, for more detailed information on the geochemical attributes. The county statistical data used for this data set...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Appalachians, Bell County, KY, Boone County, WV, Breathitt County, KY, Carter County, KY, All tags...
This dataset is a polygon coverage of counties limited to the extent of the Pocahontas No. 3 coal bed resource areas and attributed with statistics on these coal quality parameters: ash yield (percent), sulfur (percent), SO2 (lbs per million Btu), calorific value (Btu/lb), arsenic (ppm) content and mercury (ppm) content. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C. The attributes were generated from public data found in the geochemical dataset found in Chap. H, Appendix 2, Disc 1. Please see the metadata file found in Chap. H, Appendix 3, Disc 1, for more detailed information on the geochemical attributes. The county statistical data used for this data...
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...


    map background search result map search result map SLEUTH Projected Urban Growth _ old SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] Protected Areas Database of the United States v1.4 (MRB) Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 Fire Clay Coal Zone Point Data (Chemistry) in Kentucky, Virginia and West Virginia Fire Clay Coal Zone County Statistics (Chemistry) in Kentucky, West Virginia, and Virginia Pocahontas No. 3 Coal Bed County Statistics (Chemistry) in West Virginia and Virginia Pocahontas No. 3 Coal Bed Point Data (Chemistry) in Virginia and West Virginia Pond Creek Coal Zone County Statistics (Chemistry) in Kentucky, West Virginia, and Virginia Pond Creek Coal zone Point Data (Chemistry) in Virginia and West Virginia Pocahontas No. 3 Coal Bed Point Data (Chemistry) in Virginia and West Virginia Pocahontas No. 3 Coal Bed County Statistics (Chemistry) in West Virginia and Virginia Fire Clay Coal Zone Point Data (Chemistry) in Kentucky, Virginia and West Virginia Fire Clay Coal Zone County Statistics (Chemistry) in Kentucky, West Virginia, and Virginia Pond Creek Coal zone Point Data (Chemistry) in Virginia and West Virginia Pond Creek Coal Zone County Statistics (Chemistry) in Kentucky, West Virginia, and Virginia Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] SLEUTH Projected Urban Growth _ old Protected Areas Database of the United States v1.4 (MRB) Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023)