Data

Vegetation structure and fuels data are essential for understanding fire behavior following management treatments such as mechanical thinning and prescribed burning. To evaluate these processes, 133 plots were established between July 17 and September 21, 2025 across national forests and parks in the Sierra Nevada. These plots consisted of treated and untreated areas for comparison...

This dataset is one table with data collected and derived from female polar bears sampled in Alaska's southern Beaufort Sea during 1982-1985. Collected data includes demographic information. Derived data includes blood-based analyte values determined from serum samples. Serum samples were analyzed in 1986 by Evergreen Professional Services (Bothell, WA, USA). It is believed that a...

Loess is the most widespread surficial deposit in the state of Alaska. Although loess of last-glacial age is common in mid-continental North America, records of last-glacial loess in Alaska have been elusive. Here we report a record of last-glacial loess on the Seward Peninsula, along with studies of a transect of loess localities also thought to date to the last glacial period. Highly...

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...

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...

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...

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...

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 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...

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...

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...

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.