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.
Filter Total Items: 16316
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