Data

The state-of-the-science for implementing restoration of flows for freshwater and estuarine ecosystems health has improved markedly. Many successful examples now exist for improving the timing and delivery of freshwater flows through collaborative processes such as modification of flow regimes through operational changes made through dam re-regulation, dam removal, conservation and efficiency, im

As part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program study of the Mississippi Alluvial Plain (MAP), a shapefile representing seven generalized regions of the MAP extent as defined by Painter and Westerman (2018) was compiled. The generalized regions provide a framework for analysis, visualization, and regional comparisons of local data within the MAP. Regions nor

Daily streamflow discharge data from 139 streamgages located on tributaries and streams flowing to the Gulf of Mexico were used to calculate mean monthly, mean seasonal, and decile values. Streamgages used to calculate trends required a minimum of 65 years of continuous daily streamflow data. These values were used to analyze trends in streamflow using the Mann-Kendall trend test in the R package

This data release contains aggregated data records documenting the implementation of USDA conservation practices on farms within the Chesapeake Bay watershed. The data are supplied as annual totals aggregated by county, and by eight digit hydrologic unit code (HUC-8) watershed. The initial data release covers 2007-2017, and updates are planned for December of each year. The data provided here, an

Nonstationary streamflow due to environmental and human-induced causes can affect water quality over time, yet these effects are poorly accounted for in water-quality trend models. This data release provides instream water-quality trends and estimates of two components of change, for sites across the Nation previously presented in Oelsner et al. (2017). We used previously calibrated Weighted Regre

To identify the degree of hydrologic alteration of streams in the Mississippi Alluvial Plain (MAP), we used random forest (RF) regression methods (Breiman, 2001) to model the relation between six selected streamflow characteristics and explanatory variables (such as drainage area, precipitation, soils, and other watershed characteristics). RFs were chosen for this study because they have been prov

This dataset provides analytical and other data in support of an analysis of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States. The occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, is related to the potential presence of source minerals and specific environmental factors incl

This data release has three components for each of the eight stream lengths: 1) a geospatial dataset of the processed data; 2) tabular data of the processed waterborne resistivity profiling data and associated water-quality data; 3) tabular data of the raw waterborne resistivity data and associated water-quality data. In fresh water aquifers, the geoelectric resistivity of earth materials comm

A bathymetric survey of Nimrod Lake, Arkansas, was conducted in late April to mid-May, 2016, by the Lower Mississippi-Gulf Water Science Center (LMG WSC) of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Point data from the bathymetric survey were merged with point data from an aeria

This data release includes GIS shapefiles and metadata for location of the study area and phytoplankton taxonomy counts determined by Dr. Russel Rhodes, Faculty Emeritus, Department of Biology, Missouri State University, in three north Louisiana reservoirs: Cross Lake, Bayou D'Arbonne Lake, and Poverty Point Reservoir, June 2009-February 2011.

This data release contains annual estimates of suspended-sediment concentration and load for the Mississippi River, St. Francisville site and the Atchafalaya River, Melville site from 1980-2015. Annual estimates and flow-normalized estimates were generated using the Weighted Regressions on Time, Season and Discharge (WRTDS) model. Input data for the model included suspended-sediment concentrations

This data release replicates the methods detailed in the 2017 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning" for a different data set. The original data set and the associated readme file for the model archive can be viewed here: https://doi.org/10.5066/F7CR5S4T. The original data set contained streamflow data for sites located