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Data

Hydrologic data collection, processing, analysis, dissemination, and archiving are major parts of the MD-DE-DC Water Science Center program. Much of the data are available on a near-real-time basis by satellite telemetry.

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols...

Filter Total Items: 104

Polychlorinated Biphenyl (PCB) Concentrations of Passive Samplers, Solids, Fat, Oil, and Greases (FOG), and Road Sediments; and Dissolved Organic Carbon (DOC), Total Suspended Solids (TSS), and Particulate Organic Carbon (POC) Concentrations in the Back R

This metadata record contains 6 tables used to assess sources of Polychlorinated Biphenyls (PCB) in the Back River watershed, Baltimore City, Maryland. Included in the dataset are PCB concentrations of surface water and porewater passive samplers from Herring Run, Moores Run, tidal Back River, and Back River Wastewater Treatment Plant; PCB concentrations of bed sediments and other solids, Fat, Oil

Basin Characteristics Rasters for Delaware StreamStats 2020

This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of calculating stream gage basin characteristics in preparation for the Delaware 2020 StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Delaware

Fundamental Dataset Rasters for Delaware StreamStats 2020

This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of StreamStats app

PeakFQ inputs and selected outputs for selected gages in or near Delaware

This data release contains input and output files for PeakFQ models for 122 selected streamgages in or near Delaware. For each PeakFQ model, we provide the input peak flow file (.txt), peak flow specification file (.psf), model outputs in the form of .PRT and .EXP files, and a plot of peak flow estimates with fit relationship (.EMF). The PeakFQ models provided are for the weighted skew option base

Magnitude and Frequency of Peak Flows and Low Flows on Nontidal Streams in Delaware: peak and low flow estimates and basin characteristics

This dataset contains four tables: (1) site, regression and weighted peak flow estimates (peak_flow_estimates.csv) (2) site, regression and weighted low flow estimates (low_flow_estimates.csv) (3) basin characteristics for peak flow sites (peak_basin_stats.csv) (4) basin characteristics for low flow sites (low_basin_stats.csv). These tables support the USGS report "Magnitude and Frequency of Peak

USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(NOAA, 2020) ClimGrid data for precipitation and temperature. This N

Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020

In July 2016, July 2019, and March 2020, 318 seismic recordings were acquired at locations within Shenandoah National Park, Virginia, using MOHO Tromino Model TEP-3C three-component seismometers to assess depth to bedrock using the HVSR method. This method requires a measurement of estimate of shear wave velocity, which depends on the regolith sediment composition and density, for the conversion o

SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay

This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of climate change on in-stream nitrogen (TN) loads in the Chesapeake Bay watershed between 1995 and 2025. Model scenarios were run using data for nitrogen sources and landscape characteristics from 2012, cha

Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery

This data release contains one point shapefile describing cattle access to streams for three USGS showcase watersheds: Smith Creek, Conewago Creek, and Upper Chester River. This data release identifies areas where cattle were able to access the stream, as well as possible cattle access areas. Streams were defined using a combination of geospatial data and aerial imagery and cattle access points we

Lidar-derived digital elevation models in Clarksburg, MD representing the years 2002, 2008, 2013, and 2018

This is a collection of 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2002, 2008, 2013, and 2018. Coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA). Overall extent varies between each dataset, but all digital elevation models are aligned together with consistent overla

Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021)

This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the f

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