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Data

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Enhanced Terrain Imagery of the Newark 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Newark 30 x 60 minute quadrangle. It covers portions of New Jersey and New York, including parts of the Delaware River Basin. The source data used to construct this imagery consist of 1-meter, 2-meter, and 3-meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from differ

Lidar-derived closed depression vector and density raster in karst areas of the Winchester 30 x 60-minute quadrangle

The Winchester 30 x 60 minute quadrangle, covering northern Virginia, West Virginia, and Maryland, hosts karsts within carbonate units of Devonian to Cambrian age. Lidar-derived elevation data, acquired between 2011 and 2019, were used to create a mosaic of 1-meter resolution working digital elevation models (DEMs), from which surface depressions were identified using a semi-automated workflow in

Enhanced Terrain Imagery of the Middletown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Middletown 30 x 60 minute quadrangle. It covers part of New York, New Jersey, Pennsylvania, and part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter, 2-meter, and 3-meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from d

Enhanced Terrain Imagery of the Honesdale 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Honesdale 30 x 60 minute quadrangle in Pennsylvania and part of New York. 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 publis

Density raster of caves in Monroe County, West Virginia

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

Radiocarbon dates, charcoal, and polycyclic aromatic hydrocarbon (PAH) data from Great Dismal Swamp Sites GDS-519 and GDS-520

Sediment cores were collected in Great Dismal Swamp National Wildlife Refuge in November, 2017 to advance understanding of climate- and land-management driven changes in vegetation, hydrology, and fire regimes. Radiocarbon dates were obtained from samples in two cores (GDS-519-3-21-2017 and GDS-520-3-21-2017) to generate age models for the cores. Bulk sediment samples, charcoal, plant macrofossils

Enhanced Terrain Imagery of the Scranton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

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 2

Data release for depth to bedrock derived from Hydrogeology of Southeastern Connecticut by Melvin (1974)

This data release consists of a single ESRI shapefile, Hydrogeo_SECTpts, with geologic information from the previously published Hydrogeology of Southeastern Connecticut (Melvin, 1974). Test boring location points digitized from georeferenced area maps (1:24,000 scale) are attributed with associated well log information: town, identification numbers, altitude, depth to bottom, and remarks regardin

Enhanced Terrain Imagery of the Little Lehigh Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution

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

Enhanced Terrain Imagery of the White Clay Creek Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution

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 d

Enhanced Terrain Imagery of the Neversink River Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution

This imagery dataset consists of 1-meter resolution, lidar-derived imagery of the Neversink Basin area in New York and covers part of the Delaware River Basin. The footprint of this dataset covers USGS Hydrologic Unit Code (HUC) areas HUC 12-020401040301, HUC 12-020401040302, and part of HUC 12-020401040303. The source data used to construct this imagery consists of 1-meter and 2-meter resolution

Enhanced Terrain Imagery of the Allentown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Allentown 30 x 60 minute quadrangle in Pennsylvania and part of New Jersey. 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 acqui