Data
Reliable scientific data
We collect, analyze, and distribute data to the public and stakeholders that describe various water-related issues and resources and that support interpretive studies and decision-making.
We collect, analyze, and distribute data to the public and stakeholders that describe various water-related issues and resources and that support interpretive studies and decision-making.
Our mission is to collect and disseminate reliable scientific information on issues affecting rivers, lakes, estuaries, groundwater, and water resources. Find data resulting from our work here.
Filter Total Items: 77
Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed
The core equations of the SPARROW model (Schwarz and others, 2006) were implemented in differential form using the R programming language (R Core Team, 2017), as the basis of a tool for empirically relating a regional pattern of changes in constituent flux, over a multi-year period, to spatially referenced changes in explanatory variables over the same period. A pilot implementation was developed
Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Delaware River Basin (2020)
Tables are presented listing parameters and fit statistics for 25,453 maximum likelihood logistic regression (MLLR) models describing hydrological drought probabilities at 324 gaged locations on rivers and streams in the Delaware River Basin (DRB). Data from previous months are used to estimate chance of hydrological drought during future summer months. Models containing 1 explanatory variable use
Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay Nontidal Network stations: Water years 1985-2018 (ver. 2.0, May 2020)
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted
Fort Belvoir, Virginia, stream-water, streambed-sediment, and soil data collected in 2019
Field parameters and chemical-analysis results of stream water, streambed sediment, and soil data collected during 2019 at Fort Belvoir, Virginia are presented.
Inputs and Selected Outputs Used to Assess Spatial and Temporal Patterns in Streamflow, Water-Chemistry, and Aquatic Macroinvertebrates of Selected Streams in Fairfax County, Virginia, 2007-2018
Nitrogen (N), phosphorus (P), and suspended-sediment (SS) loads, in Fairfax County, Virginia streams have been calculated using monitoring data from five intensively monitored watersheds for the period from water year (October - September) 2008-2017. Nutrient and suspended-sediment loads were computed using a surrogate (multiple-linear regression) approach with lab analyzed N, P, and SS samples as
Borehole hydrogeologic-unit top-surface altitude, aquifer hydraulic property, and groundwater-sample chloride data for the Virginia Eastern Shore from 1906 through 2019
A hydrogeologic framework was developed by USGS during 2016-19 to describe the groundwater system on the Virginia Eastern Shore. This USGS data release contains text files of (1) interpreted borehole hydrogeologic-unit top-surface altitudes, (2) summary values of previously documented estimates of aquifer hydraulic properties, and (3) groundwater-sample chloride concentrations and well summary sta
Drainage basins of selected streamgages in West Virginia through 2020
Drainage basin areas for 376 USGS streamgages in West Virginia and adjacent states were delineated digitally. The USGS Watershed Boundary Dataset HUC12 sub-watershed lines were used as outer limits of basins, and heads-up digitizing was used to delineate boundaries from the stream gage to the HUC12 boundary. The USGS National Map was used, as background, to show both contour lines and digital elev
Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2020
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WR
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
Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2019
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2019. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Wei
Potomac River ADCP Bathymetric Survey, October 2019
Water-penetrating LiDAR technology was used to remotely sense bathymetric elevation data as part of a spatial data acquisition on the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area on October 21-24, 2019. Global Navigational Satellite Systems (GNSS) were used to concurrently collect survey
Topobathymetric Digital Elevation Model (TBDEM) of the Eastern Shore Peninsula of Virginia and adjacent parts of Maryland with a horizontal resolution of 1 meter and vertical resolution of 1 centimeter
This topobathymetric digital elevation model (TBDEM) represents the topography and bathymetry for the Eastern Shore peninsula of Virginia, including Accomack and Northampton counties, and extending into Worcester and Somerset counties in Maryland. The TBDEM has a horizontal grid spacing of 1 meter and vertical units of 1 (integer) centimeter. This dataset combines U.S. Geological Survey (USGS) Ear