Data Releases

This data release provides census counts of the non-indigenous benthic foraminifera Trochammina hadai Uchio in surface sediment samples obtained in San San Francisco Bay, California from 1983-2010.

Comma-separated values (.csv) files containing data related to mercury in soil, water, sediment, in-stream leaf litter, periphyton, and aquatic invertebrates collected in 2021-2022 from headwater streams associated with wildfires in the northwestern U.S.

This data release links benthic macroinvertebrate sites to both the NHDPlus Version 2 and NHDPlus High Resolution Region 02 networks, hereafter referred to as V2 and HR, using the hydrolink methodology. Linked benthic macroinvertebrate sites are those included in the Chesapeake Bay Basin-wide Index of Biotic Integrity (Chessie BIBI) developed by the Interstate Commission on the Potomac River Basin

This dataset includes spatial capture-recapture data for a restored population of Blue Ridge sculpin (Cottus caeruleomentum) with stream temperature and stream flow observations in Big Hunting Creek, Maryland.

Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. Grand Falls dune field (GFDF) is located on the Navajo Nation, ~70 km NE of Flagstaff, AZ. This dune field has been monitored since 2013 by the U.S. Geological Survey, and data from each collection year a

Grand Falls dune field (GFDF) is located on the Navajo Nation, ~70 km NE of Flagstaff, AZ. This active dune field displays a range of morphologies, including barchans, smaller dunes, and ripples, and is bimodal in composition. The felsic component is likely derived from the Little Colorado River, and the mafic component (basaltic grains) is locally sourced from nearby cinder cones [1]. GFDF is an

Description This data release is an inventory of runoff-generated postfire debris flows compiled from 18 burn areas across six western U.S. states. Debris-flow data from the following fires are included: Arizona: 2019 Museum, 2021 Flag, and 2022 Pipeline Fires California: 2014 Silverado, 2015 Valley, 2019 Briceburg, 2020 Dolan, 2020 El Dorado, 2020 Lake, and 2021 Dixie Fires Colorado: 2020 Camer

The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) in collaboration with the U.S. Environmental Protection Agency and funded through the Resources and Ecosystems, Sustainability, Tourist, Opportunities, and Revived Economies of the Gulf Coast States Act (RESTORE Act) are conducting a multiyear multistate study to analyze the alteration and trends of streamflow d

A water use study was conducted to understand the drivers of historical water use in the Providence Water Supply Board network (the service area of Providence Water Supply Board and its wholesale customers) and to forecast future water use in the same network. A cubist regression model was developed to model daily per capita water use rates for three water use categories in each of the 10 public w

Recent data syntheses have clarified future relative sea-level rise exposure and sensitivity thresholds for drowning. We integrated these advances to estimate when and where rising sea levels could cross thresholds for initiating wetland drowning across the conterminous United States. We evaluated three sea-level rise thresholds for wetland drowning (4, 7, and 10 mm/yr). Our study area spans the c

This data release contains an international compilation of 656 peak discharge estimates of floods and runoff-generated debris flows. The data (“DimensionlessDischarge.csv” and “CrossSections.csv”) were obtained from the literature and measured in the study Cavagnaro and others (2024). The dataset also includes information about flow depth, flow type (flood or debris flow), flow cross-sectional are

These data were compiled to support stranding risk modeling of young-of-year rainbow trout in Glen Canyon resulting from fluctuating flows from Glen Canyon Dam, called Trout Management Flows (TMFs). The objective of our study was to evaluate the stranding risk associated with different TMFs. We used the results of a 2-dimensional hydrodynamic model (Wright and others, 2024) as input to a rainbow t