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Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Greene study area
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). 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 Greene 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 minimum 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 spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).
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
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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).