Data

The U.S. Geological Survey (USGS) deployed multirotor small unoccupied aircraft systems (sUAS or drones) on June 21, 2018, to collect imagery data documenting site conditions at the USGS National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA. True color visible light images were collected across the general study area. Multispectral images in five spectral

Mercury (Hg) is a well-known toxic element and environmental contaminant. The central valley of California has long been identified as a hotspot for Hg contamination due to the historic mining of Hg in the California coast range, and its use in the mining of gold in the Sierra Nevada, with these mountainous regions bordering the east and the west of the valley, respectively. While the whole centra

Surface and water-borne geophysical methods can provide information for the characterization of the subsurface structure of the earth for aquifer investigations. Floating and towed transient electromagnetic (FloaTEM and tTEM) surveys provide resistivity soundings of the subsurface, which can be related to lithology and hydrogeology. In the TEM method, a primary electrical current is cycled through

This data release provides rasters of actual evapotranspiration (ET) at the Conterminous U.S. (CONUS) scale from October 1895 to September 2018. Data are provided at the annual and monthly time scales at 800 meter spatial resolution. The dataset was produced using ensemble estimation methods described in the associated journal article. The data release also includes associated datasets developed i

The impact of wildfire on water availability is a critical issue in the western United States. Because actual evapotranspiration (ETa) constitutes the largest loss in the terrestrial water budget, it has been suggested that fire-induced ETa reduction is a primary driver of elevated post-fire discharge. Ten gaged watersheds with burns exceeding 5% of their total contributing drainage area were sele

This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different

This data is comprised of representative chloride values Seneca and Cayuga Lakes and their tributaries from many sources.

This USGS data release includes data from experiments conducted with two species of caddisflies (Hydropsyche californica and Arctopsyche grandis (Order: Trichoptera) to quantify copper and cadmium uptake and loss after dissolved and dietary exposures. Both Arctopsyche and Hydropsyche belong to the family Hydropsychidae (O: Trichoptera). They are relatively sessile, net-spinning filter feeders. Dat

Electromagnetic (EM) geophysical methods provide information about the bulk electrical conductivity of the subsurface. EM data has been widely used to investigate aquifers and geologic structures. In the following study, the United States Geological Survey conducted a boat-towed, waterborne transient electromagnetic (FloaTEM) survey to examine conductivity within the subsurface of the main Delawar

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water samples for analysis of volatile organic compounds (VOCs) in the eight California oil fields of Fruitvale, Lost Hills, North Belridge, Orcutt, Placerita, South Belridge, Midway-Sunset, and Buena Vista from 2016 to 2020. Sampled sites included oil wells; injectate from t

This metadata record describes the observed and estimated hydrologic metrics for the 1980 to 2019 period for U.S. Geological Survey streamgage locations across the Conterminous United States. The datasets are arranged in four files: (1) CONUS_Observed_Estimated_HMs_Annual_Monthly.csv, (2) CONUS_Bootstrap_Validations_for_Models.csv, (3) CONUS_Streamflow_Gages_for_Models.csv, and (4) Data_Dictionary