Data

Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); how

The widespread distribution of Strophitus undulatus, as well as high intraspecific morphological variation, has led previous authors to doubt the taxon is representative of a single species. Here we provide detailed information for all the freshwater mussels and associated DNA sequence data utilized to test species boundaries in S. undulatus. These molecular data, in combination with morphological

We performed laboratory time-dependent creep and stress-oscillation earthquake simulations in uniaxial loading in compression and tension on four blocks of porphyritic dacite collected from pyroclastic deposits of Mt. Fugen, of the Unzen-dake volcanic complex in Japan (referred to as ‘Unzen volcano’). Experiments were carried out in the Experimental Volcanology and Geothermal Research Laboratory a

The dataset includes water-quality sensor readings collected by the U.S Geological Survey (USGS) from the Caloosahatchee River at the Franklin Lock and Dam and 12 open-air fiberglass tanks filled with Caloosahatchee River water used for mesocosm experiments testing the effects of elevated nutrients on harmful algal bloom (HAB) dynamics. This dataset contains water quality sensor readings from two

This data release includes whole rock (WR) geochemical data, and uranium-lead isotopic data collected using a sensitive high resolution ion microprobe-reverse geometry (SHRIMP-RG) instrument; the SHRIMP-RG is a type of secondary ion mass spectrometer (SIMS). Whole rock geochemistry data were analyzed at Bureau Veritas Commodities Canada Ltd. Laboratories in Vancouver, British Columbia, Canada. SHR

The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of Georgia, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on roa

The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of Virginia, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on ro

Socioeconomic impact estimates of community exposure to future coastal hazards are presented for communities along the coast of U.S. Florida. The provided data were generated using the Hazard Exposure Reporting and Analytics (HERA) web application (www.usgs.gov/apps/hera/). HERA uses geospatial analysis of socioeconomic indicators (population, economic, land cover, and infrastructure) in combinat

Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrogen, and sulfate). Six models were genera

The lateral blast, debris avalanche, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. Lava domes were extruded during the subsequent eruptive periods of 1980-1986 and 2004-2008. During 2022, U.S. Army Corps of Engineers contracted the acquisitions of airborne lidar surveys of Mount St. Helens crater and two primary drainage

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

Brook Stickleback Culaea inconstans is an aquatic invasive species in Wyoming that may pose a risk to native biodiversity. Our aim was to evaluate the current risk Brook Stickleback poses to native fish species in the North Platte River drainage. We updated the current distribution of Brook Stickleback, evaluated for possible range expansion, and determined landscape-level habitat drivers and occu