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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).
This dataset includes "smoothing points" used in the creation of the Cortland hydrogeologic framework. Smoothing points were manually added by the project team and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, centerline bedrock points (and where applicable L1 and L2 points), and upland bedrock SURGO points.
The EWWSF study area is located in the vicinity of the towns of Ellenville, Wurtsboro, Woodbourne, and South Fallsburg, in Sullivan and Ulster Counties, New York. The EWWSF study area also extends into parts of Orange County, New York. Previous USGS reports here include USGS Scientific Investigations Map 2960 (Reynolds, 2007), Open-File Report 82-112 (Anderson and others, 1982), and Water Supply Paper 1985 (Frimpter, 1972). 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.
This dataset includes well logs used in the creation of the Fishkill and Wappinger Falls hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, and 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.
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).
This data release contains digital hydrogeologic datasets compiled for eight valley-fill aquifer systems in upstate New York. The data sets include input data necessary to create and interpolate the hydrogeologic framework of the aquifers and surrounding till-covered uplands. Input data is provided as point feature classes and georeferenced files of previously published reports along with the digitized data as line or polygon feature classes. Feature class datasets are provided for convenience and may contain subtle differences to shapefiles due to inherent differences in file types. The data release is composed of eight child items, one for each valley-fill area. Each child item contains the data pertaining...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at the following 8 USGS lake gages on Lake Ontario: A – Lake Ontario (Thirtymile point) at Golden...
From March 2019 to September 2020, the U.S. Geological Survey, in cooperation with the New York City Department of Design and Construction and the New York State Department of Environmental Conservation, collected horizontal-to-vertical seismic (HVSR) surveys at 140 locations in New York, Bronx, Queens, Nassau, and Suffolk counties to estimate the thickness of unconsolidated sediments and the depth to bedrock (Lane and others, 2008). The passive-seismic method uses a single, broad-band three-component (two horizontal and one vertical) seismometer to record ambient seismic noise. In areas that have a strong acoustic contrast between the bedrock and overlying sediments, the seismic noise induces resonance at frequencies...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Bedrock,
Bronx County,
Nassau County,
Digital hydrogeologic datasets were developed for the Ellicottville 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, LIDAR minimum elevation raster, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match what was done in previous work.
This dataset includes "smoothing points" used in the creation of the Ellicottville hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, centerline bedrock points, minimum depth bedrock points, and upland bedrock SSURGO points.
This dataset includes "smoothing points" used in the creation of the Olean hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: smoothing points for the upper and lower lacustrine confining surfaces, valley edge points, centerline bedrock points, bedrock contour points, and bedrock SSURGO points used in both the valley and upland interpolations.
The U.S. Geological Survey, in cooperation with Ashokan Watershed Stream Management Program, investigated the feasibility of bedload monitoring in the upper Esopus Creek watershed, Ulster and Greene Counties, New York (NY), from 2017 to 2020. Traditional bedload samples were collected at two locations: Birch Creek at Big Indian, NY, and Stony Clove at Jansen Rd at Lanesville, NY. Active and passive tracers were used at Stony Clove at Jansen Rd at Lanesville, NY, to measure bed material displacement associated with storm runoff.
Digital hydrogeologic datasets were developed for the Cincinnatus 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. An alternate geologic interpretation was considered for modeling purposes. An alternate lacustrine extent and top and bottom elevation rasters are included within this data release. Elevation...
This dataset includes "smoothing points" used in the creation of the Greene hydrogeologic framework. Smoothing points were manually added by the project team and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, bedrock points derived from cross sections, centerline bedrock points (and where applicable L1 and L2 points), and upland bedrock SURGO points.
This dataset includes well logs used in the creation of the Cincinnatus 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.
This dataset includes well logs used in the creation of the Jamestown hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS, ESOGIS, and recently digitized archived material) 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.
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.
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