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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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The data contained in this file is one of several datasets produced in support of the project entitled “Classification and Mapping of Cave and Karst Resources” for the region encompassing the Appalachian Landscape Conservation Cooperative (LCC). The results of this project are divided into a series of geospatial information layers (shapefiles and raster data). The files provide a comprehensive overview of data availability on obligate cave-dwelling fauna and bat ranges useful for examining relationships between environmental factors and biological diversity and distribution within karst areas of the Appalachian LCC.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Scranton 30 x 60 minute quadrangle in Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2019 from the Pennsylvania Spatial Data Access (PASDA). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Roanoke 30 x 60 minute quadrangle in Virginia. It also covers a part of the Appalachian Basin Province. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2021 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data spatial reference is the WGS 1984 geographic coordinate system. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief...
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Monroe County, in southeastern West Virginia, hosts world-class karst within carbonate units of Mississippian and Ordovician age. There are at least 412 known caves in the county. Location data for these caves were collected from the West Virginia Speleological Survey (WVASS) Bulletin 22 (Dasher, 2019). Point features were created in ArcGIS Pro for each cave location and were used to make a point density raster. This raster displays the number of cave points per square kilometer.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Harrisburg 30 x 60 minute quadrangle in Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1-meter and 3-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast...
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These raster datasets are 3-meter lidar-derived images of Monroe County, West Virginia, and were created using geographic information systems (GIS) software. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which a hillshade was applied and a topographic position index (TPI) raster was calculated. These two rasters were uploaded into GlobalMapper, where the TPI raster was made partially transparent and overlaid the hillshade DEM. The resulting image was exported to create a 3-meter resolution lidar-derived image. The data is projected in North America Datum (NAD) 1983 UTM Zone 17.
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Cave-limited species display patchy and restricted distributions, but are challenging to study in-situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management goals can be more easily obtained. These GIS data represent the input and results of a spatial statistical model used to examine the hypothesis that the presence...
This Scientific Data Release is a spatial geodatabase representation of Braun, D. D., 1996, Surficial geology of the Allentown 30x60-minute quadrangle: Pennsylvania Geological Survey, 4th ser., Open-File Report 96–48, 17 p., 1 map, scale 1:100,000. These geospatial data depict surficial geologic materials in the Pennsylvania portion of the Allentown 30 x 60-minute quadrangle in eastern Pennsylvania.The map area shows the effects of at least three Pleistocene glacial advances. The report map is a compilation and revision of published and unpublished, 1:24,000-scale, detailed-reconnaissance maps. Types of surficial geologic units include 14 anthropogenic, 8 alluvial or wetland, 16 colluvial, and 12 Wisconsinan, Illinoian,...
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This data release contains three data types that could potentially be used to infer spatiotemporal variability in groundwater discharge processes, along with other research and monitoring purposes: 1) Temporally continuous stream channel water temperature and adjacent streambank air temperature time series data (generally starting November 2020) as well as limited temperature data from May to October 2022 from select seeps and springs; 2) Discrete stable isotope data collected from stream water (May 2021, October/November 2021, May 2022, October/November 2022); and 3) Discrete dissolved radon gas data from stream water (collected May 2021 and May 2022). Data were collected at 51 temporary stations installed along...
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This Scientific Data Release is a spatial geodatabase containing Woodruff, K.D. Christopher, M.J., 1982, Thickness of Regolith in the Delaware Piedmont: Delaware Geological Survey Open File Report No. 19, scale 1:24,000, formatted to Geologic Map Schema (GeMS) standards. These geospatial data depict the total thickness (regolith) of both the loose, transported material and the weathered rock that overlies crystalline rocks of the Delaware Piedmont. Land-use planners of many kinds (including National Forest managers, developers, city and rural planners, and highway builders) need accurate geologic data with which to make informed decisions. This geodatabase was produced in support of the U.S. Geological Survey U.S....
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This imagery dataset consists of 1-meter resolution, lidar-derived imagery of the White Creek Clay watershed in Pennsylvania and Delaware, which includes part of the Delaware River Basin. The footprint of this dataset covers USGS Hydrologic Unit Code (HUC) areas HUC 12-020402050301, HUC 12-02040205030102, HUC 12-02040205030103, HUC 12-02040205030106, and part of HUC 12-02040205030108. The source data used to construct this imagery consist of 1-meter Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different USGS acquisitions published between 2013 and 2015. The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Sunbury 30 x 60 minute quadrangle Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 3-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the York 30 x 60 minute quadrangle in Pennsylvania and Maryland. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2014 and 2017 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pepacton Reservoir 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1 meter and 2 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2007 and 2015. The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief by overlaying a translucent topographic position...
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This imagery dataset consists of 1-meter resolution, Lidar-derived imagery of the Little Lehigh Basin area in Pennsylvania and covers part of the Delaware River Basin. The footprint of this dataset covers USGS Hydrologic Unit Code (HUC) areas HUC 12-020401060701, HUC 12-020401060702 and part of HUC 12-020401060703. The source data used to construct this imagery consists of 1-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from the Pennsylvania Geospatial Data Clearinghouse, published 2019. The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates...
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This raster dataset contains 3-meter digital elevation models (DEMs) of 7.5 minute quadrangles in karst areas of Puerto Rico and was created using GlobalMapper v.23 software. These DEMs were derived from 1-meter DEM tiles acquired through the USGS 3D Elevation Program (3DEP). The data are projected in North America Datum (NAD) 1983 (2011) UTM Zone 19N.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Radford 30 x 60 minute quadrangle in Virginia. It also covers a part of the Appalachian Basin Province. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2018 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Beckley 30 x 60 minute quadrangle in West Virginia, Virginia and Kentucky. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2022. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a karst closed depression inventory across the conterminous U.S. using a common methodology. Automated algorithms for extraction of closed depressions from 1/3 arc-second (approximately 10 m resolution) National Elevation Dataset (NED) were run on the U.S. Geological Survey (USGS) “Yeti” high-performance computing cluster....


map background search result map search result map GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region Shuttle Radar Topography Mission (SRTM) elevation interpolated at 1 km resolution across the Appalachian Landscape Conservation Cooperative (LCC) region Lidar-derived imagery and digital elevation model of Monroe County, West Virginia at 3-meter resolution Enhanced Terrain Imagery of the Pepacton Reservoir 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution Closed depression density in karst regions of the conterminous United States: features and grid data (COPY) Enhanced Terrain Imagery of the Little Lehigh Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution Enhanced Terrain Imagery of the White Clay Creek Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution Enhanced Terrain Imagery of the Scranton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Density raster of caves in Monroe County, West Virginia 2018 digital elevation models of karst areas in Puerto Rico at 3-meter resolution Enhanced Terrain Imagery of the York 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Harrisburg 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Sunbury 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution A geodatabase of Surficial Geology of the Allentown 30x60-Minute Quadrangle in Pennsylvania digitized from the original map of Braun, 1996 Stream Temperature, Dissolved Radon, and Stable Water Isotope Data Collected along Headwater Streams in the Upper Neversink River Watershed, NY, USA (ver. 2.0, April 2023) Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Radford 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Roanoke 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution A geodatabase of Woodruff, K.D., and Christopher, M.J., 1982, Thickness of Regolith in the Delaware Piedmont: Delaware Geological Survey Open File Report No. 19, scale 1:24,000. Enhanced Terrain Imagery of the Beckley 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution A geodatabase of Woodruff, K.D., and Christopher, M.J., 1982, Thickness of Regolith in the Delaware Piedmont: Delaware Geological Survey Open File Report No. 19, scale 1:24,000. Enhanced Terrain Imagery of the Little Lehigh Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution Enhanced Terrain Imagery of the White Clay Creek Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution Density raster of caves in Monroe County, West Virginia Lidar-derived imagery and digital elevation model of Monroe County, West Virginia at 3-meter resolution A geodatabase of Surficial Geology of the Allentown 30x60-Minute Quadrangle in Pennsylvania digitized from the original map of Braun, 1996 Enhanced Terrain Imagery of the Radford 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Roanoke 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Beckley 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Scranton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Pepacton Reservoir 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution Enhanced Terrain Imagery of the York 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Harrisburg 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Sunbury 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution 2018 digital elevation models of karst areas in Puerto Rico at 3-meter resolution Shuttle Radar Topography Mission (SRTM) elevation interpolated at 1 km resolution across the Appalachian Landscape Conservation Cooperative (LCC) region GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region Closed depression density in karst regions of the conterminous United States: features and grid data (COPY)