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Data

The USGS collects multiple types of data in the Chesapeake Bay watershed. The Data Catalog contains a list and links of all the types of Chesapeake information from USGS. Some of the most relevant data related to streams and rivers is highlighted in the “tracking status and trends indicators of stream health”. Land cover, use, and change data are also highlighted.

Filter Total Items: 113

Changes in Organic Carbon Source and Storage with Sea Level Rise-Induced Transgression in a Chesapeake Bay Marsh

This data set includes a variety of bulk organic carbon, lignin-phenol biomarker, and sedimentation rate data from a set of sites in the Blackwater Marsh in Chesapeake Bay. At each site, a short core was taken, and all data is organized according to depth below the marsh surface. Data includes: Bulk %OC, bulk %N, atomic carbon:nitrogen ratios, stable carbon isotopes (d13C) Lignin-phenol biomarker

Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2021

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2021. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation

Multidecadal Streamflow Trends and Ecological Flow Statistics at USGS Monitoring Stations within the Chesapeake Bay Watershed (1940-2018)

The hydrologic regime of rivers and streams is a major determinant of habitat quality for fish and aquatic invertebrates. Long-term streamflow data were compiled and multidecadal streamflow trends and ecological flow (EFlow) statistics were calculated in support of the United States Geological Survey (USGS) Chesapeake Bay Science Initiative toward understanding fish habitat and health in the Chesa

Chesapeake Bay Watershed Non-Tidal Network Station Catchments

Drainage basins of the 123 Non-Tidal Monitoring Stations in the Chesapeake Bay Watershed.

Morphometric, Age and Concentrations of Perfluoroalkyl Substances in Smallmouth Bass Plasma from Four Sites in the Chesapeake Bay Watershed

Archived plasma from fish health monitoring sites within the Chesapeake Bay watershed was analyzed for 13 perfluoroalkyl compounds. Smallmouth bass were collected from two sites in the Potomac River drainage (Antietam Creek, Maryland and South Branch Potomac, West Virginia) and two in the Susquehanna River drainage (West Branch Mahantango Creek, Pennsylvania and Pine Creek, Pennsylvania). Site and

Coastal wetlands of the Blackwater region, Chesapeake Bay, Maryland

This data release contains coastal wetland synthesis products for the geographic region of Blackwater, Chesapeake Bay, Maryland. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and others, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S.

USGS Chesapeake Bay Study Locations Related to Theme 1 and Theme 2 Activities (ver. 2.0, June 2023)

This data includes point and polygon layers that are a compilation of study sites, watersheds, and areas of interest associated with the USGS Chesapeake Bay Theme 1 (factors affecting stream health, fish habitat, and aquatic conditions) and Theme 2 (coastal Habitats and Implications for Waterbirds) activities. Locations in this dataset were compiled from various USGS Chesapeake Bay activities and

SPARROW model input datasets and predictions of nitrogen loads in streams of the Chesapeake Bay watershed

This data release contains mean-annual total nitrogen (TN) loads predicted by a SPARROW model for individual stream and shoreline reaches in the Chesapeake watershed as defined by NHDPlus, a 1:100,000 scale representation of stream hydrography built upon the National Hydrography Dataset (NHD) (Horizon Systems, 2010). Also included are the input variables required to execute the model, including la

Input and results from a boosted regression tree (BRT) model relating base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics (1970-2013)

This data release contains a boosted regression tree (BRT) model (written in the R programming language), and the input and output data from that model that were used to relate base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics. The input data consists of two types of information: 1) surface water nitrate concentrations collected by the USGS and partnerin

Per-and Polyfluorinated Alkyl Substances (PFAS) and associated ancillary data from the Commonwealth of Pennsylvania, USA, 2019

The USGS Pennsylvania Water Science Center (USGS PAWSC) in cooperation with the Pennsylvania Department of Environmental Protection (PADEP) has assembled this data release in support of ongoing USGS and PADEP evaluations related to the occurrence and distribution of Per-and Polyfluorinated Alkyl Substances (PFAS) within Pennsylvania surface water. The data is of four general types: Discrete sam

Shoreline delineations for 21 Subestuaries in the Chesapeake Bay 2010-2014.

In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. These data reflect the digitization of the shorelines of 21 sub-estuaries throughout the Chesapeake Bay (USA) as observed from 2010 through 2014. Shoreline segments are classified into one of seven shoreline types: bulkhe

Low-streamflow and precipitation trends for 183 U.S. Geological Survey streamgages in the Chesapeake Bay Watershed

This data release contains low-streamflow trend results from 183 U.S. Geological Survey (USGS) streamgages and precipitation trend results from gaged watersheds within the Chesapeake Bay Watershed. Data include streamgage identification number, trend slopes and significance for several low-streamflow and precipitation metrics.