Data

The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado. A total of 418 streamgages were selected for the study having a minimum of 10 years of unregulated streamflows. This data release presents hydrologic data through...

The upper Cedar River Municipal Watershed (CRMW) is managed by Seattle Public Utilities and provides habitat that sustains an isolated adfluvial population of Endangered Species Act-listed bull trout (Salvelinus confluentus). Bull trout spawning in the CRMW begins in early fall when the water surface elevation of Chester Morse Lake and the stream discharges in its major tributaries, the...

This data release provides the input and output files, metadata, and R scripts used to apply a Structural Topic Model (STM) to public (local news articles) and scientific (abstracts) discourse on water quality in the Illinois River Basin (ILRB). A total of 6,822 local news articles published from 2018 through 2022, and 190 scientific abstracts published from 2018 through 2023 were...

The dataset is a 3 m spatial resolution Digital Elevation Model (DEM) representing terrain heights in northern Vicksburg, MS and Vicksburg National Military Park in 1938. The DEM was created using structure from motion-aided (SfM-aided) photogrammetry techniques in Agisoft Metashape (v 2.1.1). The aerial images were acquired on June 30, 1938 by Pan American Aerial Surveys for the U.S...

This data release contains structure from motion (SfM) photogrammetry products derived from high resolution aerial imagery collected on 11 and 12 January 2025 over the Defense Advanced Research Projects Agency (DARPA) Reefense hybrid oyster reef structures offshore of Tyndall Air Force Base, Florida. The imagery was collected using a Department of the Interior-owned uncrewed aerial...

Seafloor features identified as headward eroding mass failure scarps were digitized by hand from high-resolution multibeam bathymetry compilations (30 m grids) across the Cascadia subduction zone, which spans the region offshore of northern California, Oregon and Washington. These features were initially published by Hill et al. (2022; https://doi.org/10.1016/j.epsl.2022.117797) and here...

Suitable spawning substrates, such as bedrock, boulder/cobble, and gravel, for Paddlefish (Polyodon spathula) that were were mapped in tributaries of Lake Eufaula (Deep Fork River and Brushy Creek) and Hugo Lake (Kiamichi River) via Humminbird Helix 10 sidescan sonar. These datasets show the mosaicked image files and locations of four different substrate types (bedrock, boulder/cobble...

The Deepwater Horizon oil spill on April 20, 2010, caused extensive injury to natural resources in the Gulf of Mexico, and Gavia immer (common loon) were negatively affected from the spill. The Open Ocean Trustee Implementation Group funded the project Restoration of Common Loons in Minnesota to restore common loons lost to the spill. In 2020–2021, study lakes in a seven-county region in...

These data are supplementary to the journal article: Makdisi, A.J., Kramer, S.L., Bassal, P., Maurer, B.W., Perkins, W., Anderson, D., Crouse, C.B., Dashti, S., and Teague, D. (2026) "Development of Liquefaction-Targeted Design Basis in U.S. Seismic Provisions". Earthquake Spectra. https://doi.org/10.1002/esp4.70097. This dataset includes tabular data summarizing effective 50-year non

This data release contains data used within the PRMS CONUS Futures Portal including descriptions of data layers in the Uncertainty Analysis section, reference model performance at stream gage locations, and model performance metrics for climate model based simulations. 1) The description of variables available in the Uncertainty Analysis tab include variable short name, variable long...

This data release provides an archive of random forest regressions predicting streamflow correlation as a function of climatic similarity over the contiguous United States, based on streamflow information from water years 1981 to 2020. This data release also contains the underlying datasets used to generate those regressions and a series of scripts that facilitate their exploration and...

Streamflow patterns are influenced by natural processes, anthropogenic activities, and climatic variability (Haddeland and others, 2014). Human activities, such as land-use changes, urbanization, deforestation, agricultural practices, and water resource development projects, can significantly impact hydrologic processes and streamflow (Foley and others, 2005). The data release presented...