Data

This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (in review). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affecting

As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion

This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank move

Alterations to stream hydrology, which include changes in stream geomorphology, are primary impacts of anthropogenic disruption. In North Carolina, hydrological alterations lead to environmental impacts through degraded ecosystems and water quality. In collaboration with the North Carolina Department of Environmental Quality, Division of Mitigation Services (DMS), the USGS South Atlantic Water Sci

The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's percent forested land cover from the National Land Cover Dataset (NLCD) 2016 data (land cover values 41-43). These values, which cover the conterminous United States at a scale of 30m pixel size, will be served in the National StreamStats F

As part of the Triangle Area Water Supply Monitoring Program, the U.S. Geological Survey conducted a study to evaluate the occurrence and distribution of mercury in 14 streams and 15 reservoirs in the Triangle area of North Carolina. This Data Release contains the associated data described in the Scientific Investigations Report, "Occurrence and Distribution of Mercury in Streams and Reservoirs in

A Soil-Water-Balance (SWB) model was developed to estimate annual net infiltration below the root-zone for the Greater Wake County area, North Carolina for the period 1981 through 2019. The model was developed as part of a study to assess groundwater availability in the fractured-rock aquifers underlying Wake County. Curve number, maximum net infiltration rate, and root-zone depth parameters for a

Concentration and quality assurance results for organic compounds and bioassay endocrine activity results analyzed at the U.S. Geological Survey National Water Quality Laboratory, Denver, Colorado, Organic Chemistry Research Laboratory, Sacramento, California, the Organic Geochemistry Research Laboratory, Lawrence, Kansas, and the U.S. Environmental Protection Agency, Office of Research and Develo

This data set reports results for inorganic constituents analyzed at the Redox Chemistry Laboratory in Boulder, Colorado, for the 2019 tapwater study conducted in North Dakota and South Dakota, USA. This project is part of the U.S. Geological Survey, Ecosystems Mission Area, Environmental Health Water and Wastewater Infrastructure Program.

This dataset contains the trace elements, cations, anions, disinfection by-products, per- and polyfluoroalkyl substances (PFAS), pharmaceutical and pesticide concentration results for the tapwater study conducted in California, November, 2020 through May, 2021. Trace elements, cations and anions were analyzed at the U.S. Geological Survey Redox Chemistry Laboratory in Boulder, Colorado. The disinf

This data release contains the associated data described in the related primary publication, "Predicting Flood Damage Probability Across the Conterminous United States" (Collins et al. [2022], see Related External Resources section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability c

Reliable peak-streamflow information is critical for proper design of stream-related infrastructure, such as bridges, and StreamStats is a Web-based Geographic Information Systems (GIS) application that provides a user-friendly interface to estimate peak flows (https://streamstats.usgs.gov/ss/). StreamStats develops these peak-flow estimates using basin characteristics for the entire contributing