Filters: Tags: {"type":"CMS Themes"} (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gleneida during May 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Ambient Monitoring,
Basin & Hydrogeologic Characterization,
Lake Gleneida,
New York,
Putnam County,
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 8 USGS lake gages on Lake Ontario. This item includes data sets for segment B - Lake Ontario...
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 8 USGS lake gages on Lake Ontario. This item includes data sets for segment G - Lake Ontario...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster,
Shapefile;
Tags: Flood inundation maps,
Geospatial Applications,
Geospatial Applications,
Information Visualization,
Jefferson County, New York,
From May of 2015 through September of 2018, velocity data were collected along 7 transects from select tributaries, embayments, and nearshore lake locations along New York's Lake Ontario waterfront in support of the Great Lakes Restoration Initiative and the Lakewide Action Management Plan. These data include: depth, velocity magnitude, velocity direction, navigational data, ADCP temperature, and channel profile.
This child item contains ground penetrating radar (GPR) data collected over a small alpine wetland between Mogul Mine and Cement Creek located near Silverton, Colorado. Mine-impacted water is transported to Cement Creek via surface channels and groundwater through this wetland. The GPR method transmits radar pulses into the ground and measures the returned amplitude from these pulses over time. Variations in subsurface electromagnetic (EM) properties (dielectric permittivity, electrical conductivity, and magnetic susceptibility) affect the timing and amplitude of returned radar energy. For example, variation in water or mineral content are physical properties that often influence the EM properties that are observed...
This child item dataset contains a shapefile of bedrock elevation contours in the Oneonta, NY area.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Colliersville,
Delaware County,
Emmons,
This child item dataset contains a shapefile of the project study area in parts of Otsego and Delaware Counties, New York
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Colliersville,
Delaware County,
Emmons,
This child item dataset contains a shapefile of inferred dead-ice sink locations in the Oneonta, NY area.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Colliersville,
Delaware County,
Emmons,
This child item dataset contains a single horizontal-to-vertical spectral ratio (HVSR) measurement from Delaware County, New York, DHVSR8. Raw and processed HVSR data for this HVSR measurement are included in a zipped directory named by the measurement site identifier. The HVSR data-collection sites are designated by a county sequential numbering system (DHVSR8, etc. where "D" indicates Delaware County).
The U.S. Geological Survey (USGS) is providing a polygon feature class delineating the extent of Glacial Lake Great Bend within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Broome County,
Conklin,
Kirkwood,
The U.S. Geological Survey (USGS) is providing a polygon feature class containing the approximate locations and confining units of the unconfined and confined aquifers within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Broome County,
Conklin,
Kirkwood,
This child item dataset contains a shapefile of labels for hydrogeologic sections illustrated in Heisig, 2023 (figure 3, plate 1). The "Sec_ID" attribute lists letter-number designations for the ends of each section. Hydrogeologic section labels are in the format x - x'. By convention, the x is on the west side and the x' is on the east side of generally horizontal sections. In generally vertical sections, the x is the westernmost of the section ends and the x' is the eastermost end of the section line.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Cayuga County,
Freeville,
Groton,
Geophysical and Other Data From an Irrigation Monitoring Experiment at Haddam Meadows, CT, July 2019
An irrigation monitoring experiment was performed in Haddam Meadows State Park, Connecticut, on July 16, 2019. Prior to this experiment, ground penetrating radar (GPR), frequency domain electromagnetics (FDEM), and electrical resistivity tomography (ERT) geophysical data were collected over a 20 meter by 10-meter grid to provide baseline information. A vertical soil moisture probe was installed in the center of this area that recorded volumetric water content, temperature, and electrical conductivity at 9 discrete depths down to 1 meter below land surface. Over the next 8 hours, 5,300 liters of irrigation water (with specific conductance of 1,000 microSiemens per centimeter) was sprayed as evenly as practical over...
Over 300 samples were collected in New York, Vermont, and Massachusetts from wastewater treatment facilities (20 locations), drinking water facilities (9 locations), streams (53 locations), lakes (2 locations), a bay (1 location), and a POCIS (Polar Organic Chemical Integrative Sampler) blank sample between April 2009 and October 2018. This data release provides chemistry data for over 400 analytes, including pharmaceuticals, hormones, personal care and domestic use compounds, pesticides and other compounds using 10 different laboratory analytical methods on water, sediment, wastewater sludge, and POCIS samples. Quality assurance data, such as equipment and field blank data and percent recovery for isotopic dilution...
Categories: Data;
Tags: Contaminants, Emerging,
Contaminants, Organic,
Environmental Quality,
Massachusetts,
New York,
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 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.
Digital hydrogeologic datasets were developed for the Rondout-Neversink 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.
This dataset includes well logs used in the creation of the Olean 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.
This dataset includes "smoothing points" used in the creation of the Jamestown 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, and upland bedrock SSURGO points.
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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