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Daily evaporation rates were calculated at the open-water LZ40-platform in the interior of Lake Okeechobee, Florida, from December 1, 2012 through December 31, 2016 using five methods (Shoemaker et al., 2024); specifically, the Penman, Priestly-Taylor, Mass-Transfer, Simple, and Turc equations. Bowen-ratio energy-budget derived daily evaporation rates calculated from micro-meteorological data at the LZ40 site (Wacker, 2020) are considered a standard by which to evaluate the five alternative evaporation methods. Parameterization of each of method and comparison of evaporation using each of the five methods to the Bowen ratio estimates are published by Shoemaker and others (2024).
Categories: Data;
Tags: Hydrology,
Lake Okeechobee,
USGS Science Data Catalog (SDC),
evapotranspiration,
hydrology,
This data release contains the U.S. salient statistics and world production data extracted from the IRON AND STEEL data sheet of the USGS Mineral Commodity Summaries 2023.
Digital datasets were used to develop basin characteristics values that are used in multiple regression equations and tested for the use in predicting flow-duration curves (FDCs) in ungaged areas of Indiana. Several basin characteristics are easily derived from StreamStats basin delineations, such as basin area (https://streamstats.usgs.gov/ss/). Other basin characteristics require ancillary datasets as input. The data provided through this data release are those data that have been collected, tested, and ultimately selected as a basis for FDC development. These include PRISM 3-Month Average Precipitation, Thickness and Coarseness of Quaternary Sediments, and Soil Available Water Capacity. There are 6 continuous...
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.
This data release contains the U.S. salient statistics and world production data extracted from the IRON ORE data sheet of the USGS Mineral Commodity Summaries 2023.
The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CONUS,
CONUS,
Conterminous,
Conterminous United States,
FORE-SCE,
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 georeferenced TIFF files from two separate reports for the Jamestown study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology.
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 the U.S. salient statistics and world production data extracted from the IRON AND STEEL SLAG data sheet of the USGS Mineral Commodity Summaries 2024.
This data release is a compilation of a literature search of published core X-ray diffraction (XRD) data for the Permian Basin Barnett and Woodford Shales, and includes data from: the Reliance Triple Crown 1 (RTC 1) well of Pecos County, Texas; Fasken Fee BM SWD 1 well of Andrews County, Texas; the M G Nevill well of Culberson County, Texas; the Mesquite 1 well of Hamilton County, Texas; the Fasken Fee BK 1514 well of Ector County, Texas; and Ross Draw Unit 5 well of Eddy County, New Mexico. The compiled data help advance the understanding of the stratigraphy, mineralogy, geomechanical properties, and depositional environment of these continuous hydrocarbon reservoirs in both the Midland Basin and Delaware Basin....
These data represent a case study on managing the invasive brown treesnake (Boiga irregularis) on Guam within a 5 ha snake enclosure located on Northern Guam. The site code (NWFN or North West Field North) reflects a location on Andersen Air Force Base, Northern Guam, which has been a study site for close to two decades. The experimental process followed an adaptive resource management process to develop an integrated pest management strategy for either eradication or validating whether extant species (rodents, lizards, and birds) would respond to population suppression over a 6 year removal effort. The program included an evaluation of the Aerial Delivery System, as well as a comparison of bait species (quail,...
Categories: Data;
Tags: Adaptive resource management,
Aerial Delivery System,
Eradication,
Guam,
Hand capture,
The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in cooperation with the State Water Board, and in partnership with other State and local agencies. The USGS collected and analyzed groundwater, surface water, and associated quality control (QC) samples in the Elk Hills study area during June 2017–April 2018. The Elk Hills study area includes the Elk Hills and North Coles Levee Oil Fields and...
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
CMGP,
Caribbean,
Coastal Research and Planning Institute of Puerto Rico,
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.
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