Skip to main content
U.S. flag

An official website of the United States government

Data

Browse real-time data, data releases and more. 

Data Management

Data Management

Data Releases

Data Releases

Real-time Data

Real-time Data

All Data

Filter Total Items: 16615

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...
Was this page helpful?