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This dataset is a polygon coverage of the thickness of the overburden of the Pocahontas No. 3 coal bed, in feet. It was produced by importing 1:100,000 (30-minute) and 1:24,000 scale (7.5-minute) digital elevation models (DEM) into ARC, and merging the lattices into one. The structure elevation grid for the Pocahontas No. 3 coal bed was subtracted from the surface elevation grid, creating overburden thickness. This grid was contoured within the known extent of the Pocahontas No. 3 coal bed into 200, 500, 1000, 2000, and 3000 foot lines. This vector file was imported to ARC. Polygon attributes include a code for the USGS overburden category (Coal Resource Classification of the U.S. Geological Survey, USGS, Circular...
Categories: Web Site; Tags: 51027 = Buchanan, 51051 = Dickenson, 51167 = Russell, 51169 = Scott, 51185 = Tazewell, All tags...
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This map layer shows the coal fields of Alaska and the conterminous United States. Most of the material for the conterminous United States was collected from James Trumbull's "Coal Fields of the United States, Conterminous United States" map (sheet 1, 1960). The Gulf Coast region was updated using generalized, coal-bearing geology obtained from State geologic maps. The Alaska coal fields were collected from Farrell Barnes's "Coal Fields of the United States, Alaska" map (sheet 2, 1961).
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the no population cycling scenario (A1; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and annual snowfall. Demographic parameters were...
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This dataset is a polygon coverage of the resource areas of the Lower Kittanning coal zone. The polygons are subdivided into 2 categories: resource areas inside the outcrop, and areas either too thin, outside the outcrop, or beyond data collection limits. The coal zone must contain at least 14 inches of coal to be a resource. This spatial data set of the Lower Kittanning coal bed and known mined areas is one of many Geographic Information System (GIS) products of the National Coal Assessment that is being conducted by the U.S. Geological Survey in cooperation with State geological surveys and other Federal and State agencies. The Lower Kittanning coal bed is an important economic coal in the northern part of the...
Categories: Web Site; Tags: 24001 = Allegany, 24023 = Garrett, 39009 = Athens, 39013 = Belmont, 39019 = Carroll, All tags...
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This dataset is a polygon coverage of minable thickness for the Pond Creek coal zone in Kentucky, West Virginia, and Virginia. The coverage was created by gridding 4,391 points and contouring the grid with 1.17-ft intervals. The polygons have elevation values halfway between the bounding contour arc values. This dataset honors data submitted for the asessment from the Kentucky Geological Survey; therefore contour lines may not match across State lines (see Process Steps). This map is one of many Geographic Information System (GIS) products of the National Coal Assessment that is being conducted by the U.S. Geological Survey in cooperation with State geological surveys and other Federal and State agencies. The Middle...
Categories: Web Site; Tags: 21013 = Bell, 21025 = Breathitt, 21071 = Floyd, 21095 = Harlan, 21115 = Johnson, All tags...
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This dataset is a polygon coverage of the mined areas of the Pocahontas No. 3 coal bed. The polygons are subdivided into 3 categories. These categories are areas where resources are mined underground, areas where resources are mined on the surface, and areas where resources are not mined. This map is one of many Geographic Information System (GIS) products of the National Coal Assessment that is being conducted by the U.S. Geological Survey in cooperation with State geological surveys and other Federal and State agencies. The Pocahontas No. 3 coal bed occurs within the Pocahontas Formation (Lower Pennsylvanian) and underlies all or parts of Wyoming, McDowell, Raleigh, Summers, Mercer, Greenbrier, Logan, and Mingo...
Categories: Web Site; Tags: 51027 = Buchanan, 51051 = Dickenson, 51167 = Russell, 51169 = Scott, 51185 = Tazewell, All tags...
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Data contain zero-crossing, frequency acoustic detector locations, date to hour, species of bats recorded and identified and various wind and precipitation values associated with either day or hour for ridges,sideslopes and valleys at 5 locations in western Virginia's Appalachian Mountains.
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This dataset represents the thickness of the potentially minable Fire Clay coal benches in Virginia, West Virginia, and Kentucky. The coal zone is known by other names, depending upon locale. The data were comprised of values from Kentucky in EXCEL format, data searched from the USGS' NCRDS database for Virginia and entered into StratiFact, and a StratiFact database obtained from the West Virginia Geological and Economic Survey (WVGES). Point data were gridded, the grid contoured and imported to ARC/INFO as polygons. The Kentucky portion was replaced by a polygonal thickness coverage obtained from the Kentucky Geological Survey that had been manually contoured, therefore State line discrepancies are to be expected....
Categories: Web Site; Tags: 21013 = Bell, 21025 = Breathitt, 21043 = Carter, 21051 = Clay, 21063 = Elliott, All tags...
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The Pittsburgh coal bed is composed of regionally persistent divisions- a roof division (coals and shales) and a lower division, referred to as the "main bench". This dataset is a polygon coverage of the elevation of the top of the Pittsburgh Coal bed main bench, in feet above MSL. It was produced by gridding (producing 300 meter cells) 7,101 point-source data mainly from the National Coal Resources Data System (NCRDS) of the USGS, using ISM (Version 7.1) software. The grid was subsequently contoured in 50-ft intervals and imported to ARC/INFO. The elev_st item for each polygon reflects a value halfway between the bounding contour lines. Coverage name: c9024st (024 is the bed code assigned to the Pittsburgh Coal...
Categories: Web Site; Tags: 24001 = Allegany, 24023 = Garrett, 39009 = Athens, 39013 = Belmont, 39053 = Gallia, All tags...
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This dataset is a polygon coverage of structure contours (elevation) for the Pond Creek coal zone in Kentucky, West Virginia, and Virginia. The surface was created by gridding information from 137,355 points and contouring the grid into 100-ft intervals. Many of the points were derived from existing structure contoure maps obtained from Kentucky and West Virgina. In Virginia, data were searched from the StratiFact database created from the National Coal Resource Data System (NCRDS). Data from specific quadrangles in the StratiFact database from the West Virginia Geological and Economic Survey were also searched. The grid was created in EarthVision, was contoured and imported to ARC/INFO as polygons using an AML....
Categories: Web Site; Tags: 21013 = Bell, 21025 = Breathitt, 21071 = Floyd, 21095 = Harlan, 21115 = Johnson, All tags...
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This spatial dataset of the Upper Freeport coal bed is one of many Geographic Information System (GIS) products of the National Coal Resource Assessment that is being conducted by the U.S. Geological Survey in cooperation with State geological surveys and other Federal and State agencies. The Upper Freeport coal bed is an important economic coal in the northern part of the Appalachian Basin and is of additional importance because it occurs stratigraphically at the boundary between the Middle Pennsylvanian Allegheny and Upper Pennsylvanian Conemaugh Groups throughout most of the Appalachian foreland basin in Ohio, Pennsylvania, West Virginia, and Maryland. The top of the Allegheny Group is defined as the top of the...
Categories: Web Site; Tags: 24001 = Allegany, 24023 = Garrett, 39009 = Athens, 39013 = Belmont, 39019 = Carroll, All tags...
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Conclusions: Watershed area and the percentage of a watershed that is covered by forest significantly influence watershed sensitivity to acidic deposition. Based on these landscape pattern indicators, one can identify subregions where acid-sensitive streams are most abundant. Thresholds/Learnings: Synopsis: Hypotheses relating to watershed sensitivity to acidic deposition were tested using a geologic classification scheme and available regional data for the Southern Appalachian Mountains region. Landscape characteristics including lithology, elevation, elevational gradients, landscape position, and forest cover were used in the geologic classification scheme. Acid neutralizing capacity (ANC) was used as the stratifying...
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Forest cores are derived by applying an inverse buffer (-100m) to forest patches to represent the area of contiguous interior forest habitat. Forest patches are defined as areas of contiguous natural cover bound by non-natural edge or linear fragmenting features (roads, railroads, transmission lines, natural gas pipelines). The following land cover types were selected from the 2006 National Land Cover Database (NLCD) to define “natural cover”: deciduous forest, coniferous forest, mixed [deciduous-coniferous] forest, scrub-shrub, woody wetland, and emergent wetland. Forest patches were delineated based on non-forest edge (from the NLCD) and the following linear fragmenting features:electric transmission lines (from...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: Academics & scientific researchers, AppLCC, Appalachian, Appalachian, Appalachians, All tags...


    map background search result map search result map Overburden thickness categories of Pocahontas No. 3 coal bed Structure contours of the Pittsburgh coal bed in Pennsylvania, Ohio, West Virginia, and Maryland Structure contours of the Pond Creek Coal Zone in Kentucky, West Virginia, and Virginia Potentially minable thickness of the Pond Creek Coal zone in Kentucky, West Virginia, and Virginia Contours of potentially minable thickness for the Fire Clay coal zone in Virginia, Kentucky, and West Virginia Areal extent of the Upper Freeport coal bed in Maryland, Ohio, Pennsylvania, and West Virginia Mined Areas of the Pocahontas No. 3 Coal Bed Coal resource areas of Lower Kittanning coal zone Coal Fields of the United States Spatial distribution of acid sensitive and acid-impacted streams in relation to watershed features in the Southern Appalachian Mountains. Predicted Lynx Habitat in the Northern Appalachians: No Population Cycling Scenario Pennsylvania Watersheds with a Documented Bat Occurrence Activity patterns in regional and long-distance migrant bat species during the fall and spring along ridgelines in the central Appalachians, 2015-2017 Mined Areas of the Pocahontas No. 3 Coal Bed Overburden thickness categories of Pocahontas No. 3 coal bed Contours of potentially minable thickness for the Fire Clay coal zone in Virginia, Kentucky, and West Virginia Structure contours of the Pond Creek Coal Zone in Kentucky, West Virginia, and Virginia Potentially minable thickness of the Pond Creek Coal zone in Kentucky, West Virginia, and Virginia Activity patterns in regional and long-distance migrant bat species during the fall and spring along ridgelines in the central Appalachians, 2015-2017 Structure contours of the Pittsburgh coal bed in Pennsylvania, Ohio, West Virginia, and Maryland Pennsylvania Watersheds with a Documented Bat Occurrence Areal extent of the Upper Freeport coal bed in Maryland, Ohio, Pennsylvania, and West Virginia Coal resource areas of Lower Kittanning coal zone Spatial distribution of acid sensitive and acid-impacted streams in relation to watershed features in the Southern Appalachian Mountains. Predicted Lynx Habitat in the Northern Appalachians: No Population Cycling Scenario Coal Fields of the United States