Data

As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate agricultural conservation practices focused on nutrient management. Monitoring methods allow for rapid assessment of water-quality changes in response to...

As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate the impacts of implementing agricultural conservation practices focused on nutrient management. Monitoring methods have been designed to allow for rapid...

In 2011-12, the U.S. Geological Survey conducted a study of the and hydrogeomorphic history and hydrodynamic characteristics of the lower 5 kilometers of the Sheboygan River, a tributary to Lake Michigan in eastern Wisconsin. The hydrogeomorphic history and stability of an ecologically important island complex in the Sheboygan River, the Wildwood Islands, was studied to determine the...

This U.S. Geological Survey (USGS) Data Release provides data from samples and measurements completed at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota (Site) since 1983. This is version 4.0 of this data release, and it now contains 11 data sets. The content of these data sets include inorganic and organic chemistry data from water, oil...

The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, Minnesota Pollution Control Agency, and the U.S. Environmental Protection Agency, ran a series of model scnearios using a predictive, mechanistic, three-dimensional hydrodynamic model for the St. Louis River Estuary (SLRE), Minnesota-Wisconsin. The original SLRE model was developed and published in...

This data release includes periphyton sample and taxonomic information collected within the Lower Grand River Lower Grand River hydrologic unit code 10280103, Missouri and Iowa, Missouri and Iowa, 2011 through 2018. Sample information includes U.S. Geological Survey station name and identification number where the sample was collected, the sample date, if the sample was a replicate...

This data release contains files for three scenarios of an analytic element (GFLOW) groundwater flow model with particle-tracking that were developed in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service to map the probablistic plume extent for a proposed waste-water infiltration lagoon, along with maps to delineate the area contributing...

The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers Engineer Research and Development Center and the U.S. Environmental Protection Agency, developed a predictive, mechanistic, three-dimensional hydrodynamic model for the St. Louis River Estuary (SLRE), Minnesota. This model was developed with Environmental Fluid Dynamics Code (EFDC), a grid-based...

Chemical and biological results, quality assurance and quality control, and method information from groundwater, surface water, and litter samples, collected from nine locations in Iowa and one in Wisconsin in 2016. Thirteen groundwater, nine surface water, four poultry litter, and four QA/QC samples were collected. Samples were analyzed at U.S. Geological Survey laboratories; bacteria...

The dataset contains GPS survey data from the second of two surveys conducted after a high flow event on August 20, 2018, at the USGS streamgage 04087088 - Underwood Creek at Wauwatosa, WI. This survey, on July 17, 2019, documents cross section geometry. The survey was performed using Trimble R10 RTK GPS unit (SN: 5326439561) and Trimble S7 Robotic Total Station (SN: 37430018).

The dataset contains GPS survey data from the first of two surveys conducted after a high flow event on August 20, 2018, at the USGS streamgage 04087088 - Underwood Creek at Wauwatosa, WI. This survey, on September 14, 2018, documents high-water marks. The survey was performed using Topcon GR-5 GPS unit (SN: 851-10007).

Algal toxins are a growing concern worldwide. Rapid assessment test strips are a newer technology and their accuracy in detecting toxins in different lakes with different phytoplankton and toxins present is unknown. This data release is supported by our testing of toxin test strips. This research took place in Voyageurs National Park in northern Minnesota. The research will indicate...