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Data

The Upper Midwest Water Science Center collects, analyzes, and distributes data on a variety of water-related issues and resources. Much of our data is publicly available through the USGS National Water Information System (NWIS).

Filter Total Items: 187

GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infiltration lagoon scenario, Lac du Flambeau, Wisconsin

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

St. Louis River estuary (Minnesota-Wisconsin) EFDC hydrodynamic model for discharge and temperature simulations: 2016-17

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

Microbial and chemical contaminant occurrence and concentration in groundwater and surface water proximal to large-scale poultry facilities and poultry litter, 2016

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,

04087088 - Underwood Creek at Wauwatosa, WI - 2019/07/17 GPS Survey

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).

04087088 - Underwood Creek at Wauwatosa, WI - 2018/09/14 GPS Survey

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).

Rapid assessment test strip data for determining cyanotoxin presence in algal blooms, Kabetogama Lake, northern Minnesota, 2017-2018

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

Aquatic community and environmental data for 14 rivers and streams in the Milwaukee Metropolitan Sewerage District Planning Area, 2004-13

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

Soil-Water Balance model datasets used to estimate recharge for southeastern Minnesota, 2014-2018

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

DRAINMOD simulations for two agricultural drainage sites in western Fillmore County, southeastern Minnesota

DRAINMOD, a field-scale, process-based, distributed model (Skaggs, 1980; https://www.bae.ncsu.edu/agricultural-water-management/DRAINMOD/), was used to simulate subsurface drainage flow and field water-surface elevations. DRAINMOD simulations are often used to optimize drainage patterns for agricultural fields with subsurface drainage. For this study, the model results were also used to simulate d

Potential groundwater recharge estimates based on a groundwater rise analysis technique for two agricultural sites in southeastern Minnesota, 2016-2018

A water table fluctuation model simulated potential recharge rates from 2016 to 2018 for two agricultural sites in southeastern Minnesota. The model calculated potential recharge rates through the analysis of groundwater rises. A total of 42 piezometers were analyzed for this study using the water table fluctuation model. This methodology of calculating potential recharge rates was used as an inde

Cumulative antecedent precipitation data associated with well water samples collected in eastern Pennsylvania June-November 2017

The dataset includes aggregated precipitation data from a USGS rain gauge for specified 7- or 8-day time periods between May and November 2017. Daily precipitation measurements were summed to produce 7- or 8-day totals over the specified time period.

Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019

A simple linear regression model was developed and calibrated for the Minnesota River at Mankato, Minnesota (Site Number: 05325000). The linear regression model was calibrated using acoustic and suspended-sediment concentration data collected from 2016 through 2019.The calibrated model will be used to improve understanding of sediment transport processes and increase accuracy of estimating sedimen