Data

This metadata record documents 2 comma delimited tables that support the journal article "Bank-derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed." They consist of a source and target dataset.

This metadata record documents 8 comma delimitated files that support the USGS Scientific Investigations Report 2018-5020 on field studies in the Bucks Branch watershed and the Andover Branch watershed. Data were collected from two fields at two locations and include: groundwater, soil water, soils and plant tissue chemistry. Data also include sulfur hexafluoride and dissolved gas...

This metadata record document contains 7 tables used to assess factors influencing long-term water quality changes in the Gwynns Falls, Baltimore, MD, 1998-2016. Included are daily discharge measurements (source: United States Geological Survey (USGS), 2016), weekly nutrient sampling concentrations (source: Baltimore Ecosystem Study (BES), 2015), and approximately monthly bacteria...

This metadata record covers 5 comma delimited ascii files that contain sediment source sample data, sediment target sample data, quantitation limits for samples, and daily temperature data. This data release is a companion to the journal article Sediment fingerprinting to delineate sources of fine-grained sediment in the agricultural and forested Smith Creek watershed, Virginia (2012...

This dataset contains four tables of estimates of the yearly sum of nitrogen and phosphorus inputs from fertilizer applications and from manure applications in selected watersheds in Chesapeake Bay drainage basin from 1950 to 2012. For the fertilizer data, county-level loads were used from three published sources. Data from 1950 to 1985 are from Alexander and Smith (1990). Data for the...

This metadata record covers 18 comma delimited files that support the USGS Scientific Investigations Report Manure and Fertilizer Inputs to Land in the Chesapeake Bay Watershed, 1950-2014 by Jennifer Keisman, Olivia Devereux, Andrew LaMotte, and Andrew Sekellick. The data were created by running scenarios through the Chesapeake Bay Program Partnership Phase 5.3.2 Watershed Model for...

A sound understanding of sources contributing to instream sediment flux in a watershed is important when developing total maximum daily load (TMDL) management strategies designed to reduce suspended sediment in streams. Sediment fingerprinting and sediment budget approaches are two techniques, that when used jointly, can qualify and quantify the major sources of sediment in a given...

This file contains 200 sets of bootstrap-estimated land-to-water coefficients from the CBTN_v4 SPARROW model, which is documented in USGS Scientific Investigations Report 2011-5167. The coefficients were produced as part of CBTN_v4 model calibration to provide information about the uncertainty in model estimates.

Real-time, daily, peak-flow, field measurements, and statistics of current and historical data that describe stream levels, streamflow (discharge), reservoir and lake levels, surface-water quality, and rainfall in Maryland.

Data from wells, springs, and other groundwater sources in Delaware; well location data includes information such as latitude and longitude, well depth, and aquifer. Groundwater level data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.

Chemical, physical, and biological properties of water, sediment from Maryland, Delaware, and Washington DC sources. Water-quality data are collected as either discrete field measurements or as continuous time-series data from automated recorders that continuously record physical and chemical characteristics including pH, specific conductance, temperature, and dissolved oxygen.

Data from wells, springs, and other groundwater sources in Maryland; well location data includes information such as latitude and longitude, well depth, and aquifer. Groundwater level data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.