The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Molecular, morphological, and distributional data supporting the recognition of an undescribed freshwater mussel endemic to the Edwards Plateau in the Colorado River basin
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
Data for Laboratory simulation of earthquake-induced damage in lava dome rocks
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
Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2020
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
Whole rock geochemistry and uranium-lead isotopic data from Mesoproterozoic rocks in the Eagle Lake quadrangle, Essex County, New York
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
Community Exposure to Future Coastal Hazards for Georgia, USA
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
Community Exposure to Future Coastal Hazards for Virginia, USA
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
Community Exposure to Future Coastal Hazards for Florida, USA
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
Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa
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
August, 2022, airborne lidar survey of Mount St. Helens crater, upper North Fork Toutle River, and South Fork Toutle River
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
Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States
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 occurrence and environmental data 2020-2021
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
Supporting Datasets for Hydrogeological Characterization of Area B, Fort Detrick, Maryland
This dataset includes raw hydrologic data (streamflow data, groundwater level data, precipitation data) and geochemical data (geochemical results, fluorometric monitoring results) collected from January 1st, 2000 to December 31st, 2020 This dataset also includes interpreted results described in a U.S. Geological Survey Scientific Investigation Report (Goodling and others, 2023). This report descri