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Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Cortland study area
The city of Cortland is located in Cortland County, New York. Previous USGS reports here include Water-Resources Investigations Report 96-4255 (Miller and others, 1998), and Open-File Report 81-1022 (Miller and Brooks, 1981). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
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Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
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Digital hydrogeologic datasets were developed for the Cortland study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, LIDAR mean elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Cincinnatus study area
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The town of Cincinnatus is located in Cortland County, New York. No previous USGS publications are available for the Cincinnatus study area. Subsequently, all subsurface hydrogelogic data was derived from driller well logs. The four child pages below break the data up into interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
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This dataset includes well logs used in the creation of the Cortland hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
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This data release shows the digital hydrogeologic datasets were developed for the eight study areas in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the four study areas. Also included within are the input data that was necessary to create and interpolate the hydrogeologic framework. The input data is provided as point feature classes, and previously published report georeferenced files along with the digitized data as line or polygon feature classes. The data release is broken into eight child item pages; one for each model area. Each child item contains the data pertaining to that study area. In addition to shapefiles, feature classes were provided for convenience to some users. These feature class datasets were not explicitly outlined in the data release and may have subtle differences to shapefiles due to inherent differences in file types (i.e. character limitations in shapefiles vs feature class files).
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
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The town of Olean is located in Cattaraugus County, New York. Previous USGS reports here include Water- Resource Investigations Report 87-4043 (Yager and Bergeron, 1998), Water- Resource Investigations Report 85-4082 (Bergeron, 1987), and Water- Resource Investigations Report 85-4157 (Zarriello and Reynolds, 1987). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.