Data Releases
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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Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1, GridMET Calibration Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1, GridMET Calibration
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.2.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1979 to 2021 for one pre...
Application of the National Hydrologic Model Infrastructure (NHM) with the Precipitation-Runoff Modeling System (PRMS) and Geospatial Fabric version 1.1, 1980-2021, CONUS404BA Application of the National Hydrologic Model Infrastructure (NHM) with the Precipitation-Runoff Modeling System (PRMS) and Geospatial Fabric version 1.1, 1980-2021, CONUS404BA
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.2.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1980 to 2021 for one pre...
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System for Puerto Rico, Geospatial Fabric version 1.0, and Daymet version 4 Atmospheric Forcings, 1950-2021 Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System for Puerto Rico, Geospatial Fabric version 1.0, and Daymet version 4 Atmospheric Forcings, 1950-2021
This data release contains inputs for and outputs from hydrologic simulations for Puerto Rico using the Precipitation Runoff Modeling System (PRMS) version 5.2.1, the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018), National Hydrologic Geospatial Fabric version 1.0 (Viger and Bock, 2014), and the Daymet version 4 (Thornton et. al., 2020) atmospheric forcing...
RNA yield and sequencing data from Exosomal miRNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery RNA yield and sequencing data from Exosomal miRNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery
This study presents the isolation of exosomes and RNA from 20 samples of white-tailed deer serum using a commercially available kit, incorporating optimizations for RNA yield through two elutions and replicate pooling. The RNA yield from each method is reported, with six samples processed using three techniques. Seven samples underwent RNA sequencing, where total RNA was prepared for...
Geospatial geologic structural datasets, Chattanooga Shale, Wells Creek Dolomite, and Knox Group, Tennessee, USA Geospatial geologic structural datasets, Chattanooga Shale, Wells Creek Dolomite, and Knox Group, Tennessee, USA
Data about the top and bottom altitude, depth from land surface and/or the thickness of three geologic units in Tennessee were converted into geospatial format for this USGS data release from previously published paper maps and converted into digital formats for use by the public. The three geologic units were the Chattanooga Shale of Mississippian-Devonian age (Moore and Horton, 1999)...
Shoreline Electrical Resistivity Tomography (ERT) and Frequency Domain Electromagnetic (FDEM) Data along the Sinclair Inlet at the Bremerton Naval Complex, WA, June 2023 Shoreline Electrical Resistivity Tomography (ERT) and Frequency Domain Electromagnetic (FDEM) Data along the Sinclair Inlet at the Bremerton Naval Complex, WA, June 2023
This data release contains electrical resistivity tomography (ERT) and frequency domain electromagnetic (FDEM) data collected in areas of unwalled shoreline at the Bremerton Naval Complex, WA, June 1-5, 2023. Preliminary inverse results from the FDEM data area also included. Two sites were investigated: Charleston Beach and Segment 4. Charleston Beach is a gently sloping pebble beach...
Data from Soil and Storm Water Runoff Samples for the Evaluation of Butyl Acrylate Vinyl Acetate in an Arid Environment, Clark County, Nevada Data from Soil and Storm Water Runoff Samples for the Evaluation of Butyl Acrylate Vinyl Acetate in an Arid Environment, Clark County, Nevada
This U.S. Geological Survey data release contains data from soil and storm water samples collected in and around areas in southern Nevada where a polymer-based dust palliative was applied. The applied palliatives were FSB-1000 (Soil Tech, 2012) or Soil-Sement (Midwest Industrial Supply, Inc., 2001) which contain water and the co-polymer butyl acrylate vinyl acetate (BAVA). Samples were...
Data and regression models used to estimate chloride concentration and road salt loading for an urban rain garden, Gary, Indiana Data and regression models used to estimate chloride concentration and road salt loading for an urban rain garden, Gary, Indiana
This data release contains data used to develop linear regression models to calculate continuous chloride concentrations in groundwater and runoff at an urban rain garden in Gary, IN. A python script was developed to perform the regression analysis and estimate sodium chloride (NaCl) loading to 5 rain-garden flumes as the product of: (1) the estimated continuous (one-minute) chloride...
Site characterization of National Strong Motion Program earthquake monitoring stations across Los Angeles, San Bernardino, Kern, and Imperial Counties: with emphasis on geophysical survey of the El Centro Array Site characterization of National Strong Motion Program earthquake monitoring stations across Los Angeles, San Bernardino, Kern, and Imperial Counties: with emphasis on geophysical survey of the El Centro Array
Site characterization, with the goal of measuring VS30, was performed at 27 strong motion stations across Central and Southern California. These stations, belonging to the National Strong Motion Program, spanned four counties and varied geophysical environments. Primarily employed were the Simplified Site Characterization Methods (SSCM) as an efficient yet robust method for measuring...
Greenhouse gas concentrations and water-quality parameters from experimental ponds in North Dakota, USA, 2019 Greenhouse gas concentrations and water-quality parameters from experimental ponds in North Dakota, USA, 2019
This data release describes data that were contributed to the GasHype project, a global data compilation effort. Goals of the GasHype project include assessing concentrations of carbon dioxide and methane in the hypolimnion of lakes, reservoirs, and ponds, and identifying important drivers of these concentrations. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife...
Application of Simplified Site Characterization Method (SSCM) active- and passive-source surveys at 39 sites across California Application of Simplified Site Characterization Method (SSCM) active- and passive-source surveys at 39 sites across California
The Simplified Site Characterization Method (SSCM) was employed to obtain VS30 data at 39 sites across California. These geophysical surveys utilized both active- and passive-source methods wherever site conditions allowed. Primary focus was on characterization of seismic stations. Major regions surveyed include the San Francisco Bay Area, Anza Valley, Imperial Valley, Los Angeles, and...
Electrofishing, environmental DNA, and habitat data for watercourses in the Goose Lake Basin, Oregon, U.S.A., 2022–2024 Electrofishing, environmental DNA, and habitat data for watercourses in the Goose Lake Basin, Oregon, U.S.A., 2022–2024
We collected electrofishing, environmental DNA (eDNA), and habitat data from 2022 to 2024 in the Oregon portion of the Goose Lake Basin. Data were collected by the U.S. Geological Survey (USGS) and Oregon State University (OSU) to monitor native and non-native fish distributions in the Basin, and to relate observed abundances to specific habitat features. Sampling was conducted in...