Data

Data represent catch rates and total lengths of bluegill (Lepomis macrochirus) collected from two northern Wisconsin lakes using four different sampling gears.The data include number of bluegills captured in individual units of effort for 4 different sampling gears (Isermann_Bluegill_Sampling_catch.csv) and total lengths measured for a subsample of those fish (Isermann_Bluegill_Sampling_Total Leng

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) te

The U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE) did a bathymetric survey of the lower reach of the Maumelle River upstream of Lake Maumelle, near Little Rock, Arkansas, from July 9-11, 2019. Channel bed elevations (thalweg) were collected to support a USACE modeling effort on a 5-mile reach of the Maumelle River. In parts of the reach where the water

The Biscayne and Southern Everglades Coastal Transport(BISECT) model combines a three-dimensional groundwater model with a two-dimensional hydrodynamic surface-water model with variable-density solute-transport. Input data files containing parameters and boundary condtions for groundwater and surface-water were developed for the calibrated model, represnting conditions from 1996 to 2004. Input dat

These data (vector and raster) were compiled for spatial modeling of salinity yield sources in the Upper Colorado River Basin (UCRB) and describe different scales of watersheds in the Upper Colorado River Basin (UCRB) for use in salinity yield modeling. Salinity yield refers to how much dissolved salts are picked up in surface waters that could be expected to be measured at the watershed outlet po

Major-element and trace-element concentrations in 76 core samples and seven surface samples of rocks from the Coles Hill uranium deposit and vicinity, Pittsylvania County, south-central Virginia are presented as tabular digital data. The Coles Hill deposit is the largest unmined uranium deposit in the United States. The data were collected to 1) characterize the chemistry of variably uranium-miner

These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in U.S. Landsat Analysis Ready Data (ARD) tiles to produce Landsat Burned Area Products. The algorithm makes use of predictors derived from individual Landsat ARD tiles, lagged reference conditions, and change metrics between the tile and reference conditions. Tile-level products include pixel

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies the spatial and temporal distribution of surface water in U.S. Landsat Analysis Ready Data (ARD) tiles to produce Landsat Dynamic Surface Water Extent (DSWE) Products. These acquisition based products are available for the conterminous U.S. (CONUS), Alaska, and Hawaii from 1982 to present. The DSWE package

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that calculates statistics from the Landsat fractional Snow Covered Area (fSCA) Science Product, which is derived from U.S. Landsat Analysis Ready Data (ARD) tiles. These tile-based fSCA statistics packages include monthly, annual, and mean annual snow cover fractions as well as monthly and annual clear pixel counts. 5-ye

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies the spatial and temporal distribution of snow covered area in U.S. Landsat Analysis Ready Data (ARD) tiles to produce Landsat fractional Snow Covered Area (fSCA) Science Products. The fSCA packages include per-pixel percentages of snow cover (SNOW) as well as a revised cloud mask (REVCM) which flags variou

These geospatial data and their accompanying report outline many areas of coal in the United States beneath more than 3,000 ft of overburden. Based on depth, these areas may be targets for injection and storage of supercritical carbon dioxide. Additional areas where coal exists beneath more than 1,000 ft of overburden are also outlined; these may be targets for geologic storage of carbon dioxide i