All Data

This data release provides greenness for the dune crest and nearby backslope of the dune estimated from cloud-free 30-m satellite imagery during the hurricane seasons for 2008 and 2009 for East and West Ship Island, Mississippi. These data also include dune crest elevation from September 2008 produced by the U.S. Geological Survey (https://doi.org/10.5066/F7GF0S0Z).

This data release contains input data and programs (scripts) used to estimate monthly water demand for retail customers of Providence Water, located in Providence, Rhode Island. Explanatory data and model outputs are from July 2014 through June 2021. Models of per capita (for single-family residential customers) or per connection (for multi-family residential, commercial, and industrial customers)

This dataset captures in digital form the results of previously published U.S. Geological Survey (USGS) Water Mission Area studies related to water resource assessment of Cenozoic strata and unconsolidated deposits within the Mississippi Embayment and the Gulf Coastal Plain of the south-central United States. The data are from reports published from the late 1980s to the mid-1990s by the Gulf Coas

This dataset includes XY coordinates and species and behavioral observations of birds detected in aerial imagery captured over coastal islands along Maine's coast during 30 May. - 3 June 2019. The Partenavia P.68 Observer plane flew over 268 islands within the Gulf of Maine (GOM). The plane flew at an altitude of 310 m above ground level and was equipped with a PhaseOne iXU-RS1000 (100 megapixel)

Field data for vertical profiles of light and water quality parameters were collected biweekly between May and November in 2019 and June and October in 2020 in association with continuous monitoring platforms in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York.  Water quality profiles were collected using Yellow Spring Instruments (YSI) EXO2 sondes and light profiles were colle

This dataset identifies lead (Pb) concentration found in the blood of waterfowl sampled in western and northern Alaska and eastern Russia between 1993 and 2022. Data include age, sex, body measurement, capture location, presence or absence of lead shot on x-rays, and blood lead levels. Because the study took place over a number of years at the same study sites, many of the same birds were sampled

This data release contains a geospatial database related to a digital 3D hydrogeologic framework model (3D HFM) of the Eel River Valley groundwater basin, California. The geospatial database contains two main data elements: (1) input data to the 3D HFM; (2) interpolated elevations and thicknesses of hydrogeologic units as a cellular array, which are a spatial representation of the 3D HFM results.

This data release includes measures of vertically-integrated reflectivity (VIR) and estimates of linear trends in VIR as observed by the Weather Surveillance Radar 1988 Doppler (WSR-88D) stations along the Gulf of Mexico during spring and autumn migrations from 2018-2020. The VIR is a measure of bird density and can be used to map the spatial distribution of birds as they leave stopover habitat an

This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS surv

This Data Release contains a series of reconnaissance Ground-Penetrating Radar (GPR) profiles collected in 2015 to image potential shallow faulting related to the 1886 M~7 earthquake near Charleston, South Carolina, and any other faults in the area. The data include coordinates for the profiles as .kmz files, and processed GPR data in SEGY format, with both the unmigrated and migrated profiles. Th

This data release contains estimates of annual nitrogen and phosphorus loads, as well as loads of other constituents, from sites in the Illinois Environmental Protection Agency (Illinois EPA) Ambient Water Quality Monitoring Network. The loads were estimated using Weighted Regressions on Time, Discharge, and Season with Kalman filtering (WRTDS-K) and existing discrete water-quality data and discha