Data Releases

These geospatial files are the essential components for the Geologic Map of the Stibnite Mining Area in Valley County, Idaho, which was published by the Idaho Geological Survey in 2022. Three main file types are in this dataset: geographic, geologic, and mining. Geographic files are map extent, lidar base, topographic contours, labels for contours, waterways, and roads. Geologic files...

This dataset provides clam species abundance and size data from intertidal and subtidal mixed sediment habitats in Glacier Bay National Park and Preserve (GBNPP). Data are provided for all observed clams, horse mussels, or urchins 14 mm or larger. Sampling involved excavating 25 cm of substrate from quadrats (approximately 0.25 sq meter) along transects at random and selected sites, 10...

These data were compiled to describe population reproductive structure of rainbow trout in the Colorado River downstream of Glen Canyon Dam, Arizona. Objective(s) of our study were to describe the population on reproductive structure of the rainbow trout population in Glen Canyon on the Colorado River and evaluate the accuracy of nonlethal methods (manual expression and ultrasonography)...

Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...

USGS BiblioSearch is a python tool that performs literature searches across multiple citation databases via APIs or other web services in Python. The tool provides a quick method to query keywords and clean and compile results. Currently, the software includes methods to search four databases - Clarivate Web of Science, Elsevier Scopus, USGS Publications Warehouse, and USGS ScienceBase.

Since 2017, U.S. Geological Survey, Western Ecological Research Center (USGS WERC) partnered with California State Parks to continue long-term, annual at-sea surveys to estimate at-sea abundance and juvenile (i.e. hatch-year) productivity of Marbled Murrelets (Brachyramphus marmoratus) in U.S. Fish and Wildlife Service Conservation Zone 6 (central California: San Francisco Bay to...

In coastal wetlands, one of the most striking examples of climate change is the poleward range expansion of mangrove forests in response to warming winters. In North America, the Cedar Key region has often been considered the range limit for mangroves along the western coast of Florida (USA). However, within the past several decades, robust stands of Avicennia germinans and Rhizophora...

This dataset contains modeled hourly streamflow in cubic meters per second at each of about eighteen thousand selected operational and water-quality stream gage locations. It was assembled from publicly available retrospective V2.1 National Water Model outputs (See NWM Retrospective source info). The streamflow variable was extracted from model output files and the data were reshaped to...

This dataset contains measured current velocity during March 1 to May 2, 2019, at eleven locations along the Chincoteague Living Shoreline, Virginia.

This dataset contains measured (interval = 0.5 hour) wave height, peak wave period, water level, and water depth during March 1 to May 1, 2019, at five wave gage locations along the Chincoteague Living Shoreline, Virginia. These wave gages were sampled continuously at 10 Hz to take 20-min bursts every 30 min. These data were used for the analysis of wave attenuation along the oyster-reef...

We developed the North American Freshwater Migratory Fish Database (NAFMFD) that synthesizes current knowledge of migratory status, pattern, and behavior for native and non-native freshwater fish species throughout North America, including 1,241 species representing 79 families and 322 genera.

This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-xxxx) and...