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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Effects of restoration treatments at the piñon-juniper/ponderosa pine in northern New Mexico Effects of restoration treatments at the piñon-juniper/ponderosa pine in northern New Mexico
This dataset includes multiple data types from long-term monitoring and research on Rowe Mesa, NM, including data on surface fuels, ground cover, overstory tree metrics, regeneration, and tree-ring widths before and after burning and thinning treatments from 2005-2024. This data release includes 8 CSV files: DBH_DSH_conversion_data.csv (data used to create a regression of tree diameters...
High-Resolution Imagery of the McKenzie River, Oregon, 2022 and 2023 High-Resolution Imagery of the McKenzie River, Oregon, 2022 and 2023
The U.S. Geological Survey (USGS) developed high-resolution orthomosaics from natural color aerial photographs collected by the Civil Air Patrol (CAP) of the McKenzie River in the Willamette River Basin in Oregon in 2022 and 2023. Aerial photographs were collected between September 20 and September 24, 2022, and again between July 1 and July 3, from a Cessna 182 aircraft with a Waldo Air...
High-Resolution Imagery of the North Santiam River, Oregon, 2022 and 2023 High-Resolution Imagery of the North Santiam River, Oregon, 2022 and 2023
The U.S. Geological Survey (USGS) developed high-resolution orthomosaics from natural color aerial photographs collected by the Civil Air Patrol (CAP) of 45-60 km of the North Santiam River in the Willamette River Basin in Oregon in 2022 and 2023. Aerial photographs were collected between September 14 and September 22, 2022, from Detroit Lake to Stayton, and again between July 7 and July...
Northern mockingbird ileal virome variation in Texas (ver. 2.0, January 2026) Northern mockingbird ileal virome variation in Texas (ver. 2.0, January 2026)
A few studies have focused on avian gut virome variation in response to environmental stressors, but none have assessed virome in relation to chemically intensive crops, the production of which effects various aspects of avian health and fitness, and deleteriously alters available food resources. In this study we used shotgun metatranscriptomics (2 x 150bp; Illumina HiSeq 4000 with...
Datasets for the 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands Datasets for the 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands
This data release contains datasets associated with the 2025 U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI). The 2025 PRVI NSHM (Shumway and others, 2025), which is an update of the original 2003 PRVI NSHM (Mueller and others, 2003, 2010). Datasets include model inputs like seismicity catalogs, smoothed seismicity...
Earthquake Magnitude Conversion and Sensitivity Catalogs for the Central and Eastern United States Earthquake Magnitude Conversion and Sensitivity Catalogs for the Central and Eastern United States
Earthquake catalogs are essential data inputs for seismic hazard modeling. Because earthquake magnitudes are reported in a variety of types (e.g., local magnitudes, moment magnitudes), magnitude conversion relationships must be used to convert the different magnitude types present in a catalog to a uniform magnitude type to avoid biases in the hazard computation. However, these...
Statistical predictions of groundwater levels and related spatial diagnostics for a hydrogeologic framework of the Chicot aquifer system, southwestern Louisiana, 1983–2023, from the mmlCHICOTla statistical research software Statistical predictions of groundwater levels and related spatial diagnostics for a hydrogeologic framework of the Chicot aquifer system, southwestern Louisiana, 1983–2023, from the mmlCHICOTla statistical research software
Results of predicted groundwater levels and related spatial diagnostics, produced by an applied prediction-modeling statistical-research workflow, are provided as multi-banded GeoTIFF rasters for two custom bundles (classifications) of local aquifer codes for many thousands of wells in the hydrogeologically complex Chicot aquifer system, southwestern Louisiana. The modeling workflow was...
Statistical predictions of typical well depths and related spatial diagnostics for two hydrogeologic frameworks through blending cubist and generalized additive statistical models for the Chicot aquifer system, southwestern Louisiana, from the covCHICOTla Statistical predictions of typical well depths and related spatial diagnostics for two hydrogeologic frameworks through blending cubist and generalized additive statistical models for the Chicot aquifer system, southwestern Louisiana, from the covCHICOTla
This data release provides gridded predictions of “typical” well depth for the hydrogeologically complex Chicot aquifer system, southwestern Louisiana. These predictions were made using an applied statistical prediction modeling workflow named welldepmod_make.R (Asquith and Lindaman, 2025) to estimate groundwater well depths for two custom bundles (classifications) of local aquifer codes...
Land Use and Climate Covariate Values for Hexagon Tiles in the Central and Mississippi Flyways Between 1970-2019 Land Use and Climate Covariate Values for Hexagon Tiles in the Central and Mississippi Flyways Between 1970-2019
This data release contains a csv file of hexagon-tile specific summaries of several land use and climate variables that have been produced using R scripts. The hexagon tile grid spans the entire USA-portion of the Central and Mississippi Migratory Flyways and data has been extracted for the years 1979-2019.
Post-Optimization Scenarios for the Santa Barbara Groundwater Model, California Post-Optimization Scenarios for the Santa Barbara Groundwater Model, California
The city of Santa Barbara, in cooperation with the U.S. Geological Survey (USGS) California Water Science Center, developed a three-dimensional density-dependent groundwater-flow and solute-transport model (the Santa Barbara Flow and Transport Model; Paulinski and others, 2018; Nishikawa and others, 2018). The Santa Barbara Flow and Transport Model met the objectives of estimating the
Great Lakes thiamine monitoring data 2024 Great Lakes thiamine monitoring data 2024
This data release includes thiamine concentration measurements from lake trout (Salvelinus namaycush) eggs and associated biological data (e.g., fish length, weight, sex) and capture location data (e.g., lake, coordinates, date of collection). Lake trout used in this dataset were collected during 2024 from across the Great Lakes and other inland lakes such as the Finger Lakes, New York...
Sediment core data from offshore Cascadia during field activities 2020-633-FA and 2021-636-FA Sediment core data from offshore Cascadia during field activities 2020-633-FA and 2021-636-FA
This data release contains sediment core data including core imagery, multi-sensor core logger (MSCL) data, and grainsize data. As part of a multi-year project focused on characterizing offshore marine geohazards (tsunamis, earthquakes, and landslides), the U.S. Geological Survey (USGS) Coastal and Marine Hazards and Resources Program is collaborating with MBARI to conduct research along...