Data

This version supersedes the previous version of this data release: Trost, J.J., Krall, A.L., Baedecker, M., Cozzarelli, I.M., Herkelrath, W.N., Jaeschke, J.B., and Bekins, B.A., 2018, Historical data sets including inorganic and organic chemistry of water, oil, and sediments, aquifer hydraulic conductivity, and sediment grain size distribution at the National Crude Oil Spill Fate and Natural Atten

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 the U.S. Ge

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 sample, and a u

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 recharge to suppl

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, surface-water

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, pathogens,

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).

We applied Zequanox using a custom-engineered, boat mounted application system to replicated 0.30 Hectare plots within a small inland lake. The objectives of these applications were to determine if uncontained, open-water Zequanox applications could effectively control zebra mussel populations and protect native unionid mussel populations within zebra mussel infested systems. The datasets included

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 whether these

In 2004, 2007, 2010, and 2013, the U.S. Geological Survey sampled benthic algae and invertebrates, and fish to assess the condition of the aquatic communities and water quality in 14 wadable streams near Milwaukee, Wisconsin. Additional community sampling was also done at a subset of three sites in 2011 and 2012 to assess temporal variation. Selected environmental (physical and chemical) data in t

A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek