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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: 118

Total Mercury Concentrations in Smallmouth Bass from Chesapeake Bay Tributaries, USA Dataset, 2013-2017

This dataset includes fish scientific name, fish common name, site identification codes, latitude, longitude, site name, sample identification codes, collection date, tissue type, percent moisture content in fish samples, and wet and dry total mercury concentrations in fish tissues.

Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds

Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation's Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware Rive

Soil characteristics and microbial taxonomy in selected urban stormwater best management practices (BMPs) in Clarksburg, MD, 2015

The data were gathered as a preliminary assessment of soil microbiology and conditions in selected urban stormwater best management practices (BMPs) in Clarksburg, MD. Four bioretention facilities (BF), four dry ponds (DP), and four surface sand filters (SSF) were selected. Three samples were taken from each BMP (a single sample from one dry swale (DS) was also collected). BMPs were selected based

Poultry Feeding Operations on the Delaware, Maryland, and Virginia Peninsula from 2016 to 2017

Data release contains two shapefiles related to poultry houses on the Delmarva Peninsula (Delaware, Eastern Shore Maryland and, Eastern Shore Virginia). One dataset is a polygon shapefile representing 5747 poultry houses identified using 2016 and 2017 aerial imagery from the U.S. Department of Agricultures National Aerial Imagery Program (NAIP). The second dataset is a point shapefile of inactiv

Assessment of Endocrine Disruption in the Shenandoah River Watershed - Chemical and Biological Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2014, 2015, and 2016

This data release presents chemical and biological results from investigations of water quality, fish endocrine disruption, and emergent insects in the Shenandoah River Watershed (Virginia and West Virginia, USA) conducted during 2014, 2015, and 2016. Multiple sampling campaigns were conducted at sites located throughout the Shenandoah River Watershed (Table 1). The complex inorganic and organic c

SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Northeastern United States, 2012 Base Year

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Northeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environ

Streamflow and precipitation event statistics for treatment, urban control, and forested control watersheds in Clarksburg, MD USA (2004-2018)

This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data from October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The followi

Chesapeake Bay Watershed historical and future projected land use and climate data summarized for NHDPlusV2 catchments

This dataset consists of historical estimates and future projections of land use and climate data summarized within the 1:100,000 National Hydrography Dataset Version 2 (NHDPlusV2) framework for catchments and upstream accumulated watersheds. Historical land use data are for the year 2005 and future land use projections are for the years 2030, 2060, and 2090. The projections offer a unique combina

Land Use Land Cover for Selected Basins in Clarksburg, Montgomery County, MD

This dataset contains digitized land use/land cover (LULC) for the years 2011, 2015, and 2017. The dataset contains a 1-meter resolution raster maps for each year covering the geographic area for six watersheds within and near the Clarksburg Special Protection Area located in Montgomery County, Maryland, USA. The area includes LULC within 500-foot buffered watersheds. Watershed boundaries for Cabi

Freshwater Flow into Chesapeake Bay

The USGS provides estimates of the monthly and annual amounts of freshwater flow into the Bay so scientists and managers can better understand effects on ecosystem conditions.

Input and predictions from a suspended-sediment SPARROW model CBSS_V2 in the Chesapeake Bay watershed

These data represent input and estimates from a medium-resolution (1:100,000 scale) NHDPlus SPAtially Referenced Regression on Watershed attributes (SPARROW) model for the Chesapeake Bay watershed (CBSS_v2). The model spatially correlates long-term mean annual suspended-sediment flux in 113 non-tidal streams to likely upland and stream-corridor sources, landscape factors affecting upland sediment

Trends in 7-day-low streamflows at 174 USGS streamflow gages in the Chesapeake Bay watershed, Mid-Atlantic U.S.

This data set contains U.S. Geological Survey (USGS) streamgage identification numbers, begin and end years of the periods of streamflow record tested, Sen slope trends in the annual minimum 7-day streamflow for the period of record tested, the p-values (significance) of the trends, and the trend Sen slopes standardized by the standard deviations of the residual errors defined as the difference be