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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 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.
This dataset presents the total estimated monthly public-supply water withdrawal by 12-digit hydrologic unit code (HUC12) in the conterminous United States for 2015. Public-supply water use was estimated by spatially and temporally downscaling available data from each state. The total represents combined groundwater and surface water withdrawals for 83,178 watersheds. Public supply refers to water withdrawn by public and private water suppliers that provide water for cities, towns, rural water districts, mobile-home parks, Native American Indian reservations, and military bases. Public-supply facilities are classified under the Standard Industrial Classification (SIC) 4941 and provide water to at least 25 people...
Continuous water temperature data were collected at multiple sites along the Middle Fork and mainstem Willamette Rivers between Jasper and Newberg, Oregon, to support effectiveness monitoring for a large-scale channel and floodplain restoration program (Willamette Focused Investment Partnership, WFIP). Continuous water temperature loggers were deployed at a subset of WFIP restoration sites where river restoration activities were implemented to improve habitat conditions for native fish species. Data from water temperature monitoring will be used to evaluate the effectiveness of restoration activities at improving habitat conditions for Endangered Species Act (ESA)-listed salmonids and other native fish in the Willamette...
Categories: Data;
Tags: Albany,
Bowers Rock State Park,
Browns Island,
Collins Bay,
Middle Fork Willamette River,
This U.S. Geological Survey (USGS) data release provides the data used to predict areas with the greatest probability of ephemeral stream channel instability on north side of the Grand Valley in western Colorado, during 2018-20. The USGS developed a method for automatically extracting channel cross-section geometry from existing remotely sensed terrain models. Based on estimated flood stage and surrogate streamflows, hydraulic characteristics were calculated. The channel geometries and hydraulic characteristics were used to estimate channel stability using a statistical model. Cross-section stabilities were determined from a stream channel stability assessment for a subset of 1,406 visited (field observed) locations...
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Field Brome,
Great Basin,
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
Wind speed, wind direction (3D) and gas concentrations are measured at 10 Hz and statistically processed using the eddy covariance technique to half-hour estimates of flux rates of gas exchange between the ecosystem and atmosphere. Three gases were measured: carbon dioxide, methane and water vapor. Simultaneous measurements of environmental drivers are also measured and recorded as half-hourly values: photosynthetic photon flux density, downwelling and upwelling short and long wave radiation, air temperature, relative humidity and precipitation. Variable names and units follow AmeriFlux and FLUXNET standards. This site is a saltwater herbaceous marsh near Lake Hermitage, LA and Barataria Bay.
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).
Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain animals. Cooperators include Partners of Scott County Watersheds, Prairie Rivers of Iowa, and U.S. Department of Agriculture-Agricultural Research Service.
Categories: Data;
Tags: Iowa,
Microbial source tracking,
USGS Science Data Catalog (SDC),
Water Quality,
environment,
The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach, greater temporal and spatial resolution of estimates, efficient and automated updates of results, and capabilities to forecast water use into the future and assess model uncertainty. This data release contains data used in a machine learning model to estimate monthly water use for communities that are supplied by public-supply water systems in the conterminous United States for 2000-2020. This data release also contains associated scripts used to produce input features as well as model output values by 12-digit hydrologic...
This dataset contains two- and quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open-source binary Visualization Toolkit (VTK) format (https://vtk.org/). The simulations were run at flows in the range of 185-635 cms at increments of 30 cms. This set of flow conditions pertains to the base lateral eddy viscosity scenario referred to as LEVx1 in Call et al., 2023. Files can be opened using the open-source software program Paraview: (https://www.paraview.org/).
These two datasets contain metrics from hydrodynamic and particle tracking simulations for two sub-reaches of the Upper Missouri River near Wolf Point, MT. The upstream reach is referred to as the “upper” reach while the downstream reach is referred to as the “lower” reach. Simulations were performed for 16 flows in the range of 185-635 cms at increments of 30 cms.
Continuous water-temperature data were collected at multiple sites along the Middle Fork and mainstem Willamette Rivers between Jasper and Newberg, Oregon, to support effectiveness monitoring for a large-scale channel and floodplain restoration program (Willamette Focused Investment Partnership, WFIP). Continuous water temperature loggers were deployed at a subset of WFIP restoration sites where river restoration activities were implemented to improve habitat conditions for native fish species. Data from water-temperature monitoring will be used to evaluate the effectiveness of restoration activities at improving habitat conditions for ESA-listed salmonids and other native fish in the Willamette River. Additionally,...
Daily maximum water temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish species. This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper DRB. The modeling approach includes process-guided deep learning and data assimilation (Zwart et al., 2023). The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7). In combination with data provided in Oliver et al. (2022),...
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