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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):

Surface water:  MI • MN • WI
Groundwater:  MI • MN • WI
Water quality:  MI • MN • WI

Water use:  MI • MN • WI

NWIS site inventory:  MI • MN • WI

Filter Total Items: 101

Storm event data in the control and test catchments during the calibration and treatment phase of a urban tree canopy study in Fond du Lac, Wisconsin, from May 2018 through September 2020: U.S. Geological Survey data release

These data were collected as part of a study to assess the stormwater volume reduction capabilities of urban street trees. In this paired-catchment study rainfall-runoff relations were developed in a medium-density residential area before and after half of the street trees were removed from the treatment basin. The Supplementary_Event_Data set contains rainfall depth and intensity, event date and

Stormwater-quality data in the control and test catchments during the calibration and treatment phase of a leaf collection study in Madison, Fond du Lac, and Oshkosh, WI, from September 2016 through November 2019

The data set contains phosphorus and nitrogen concentrations and loads measured as part of a study to determine if, and by how much, removing leaves and other organic detritus from streets, through municipal leaf collection and street cleaning programs, could reduce nutrient contributions to local water bodies. Stormwater runoff was sampled in paired, medium-density, residential catchments during

Nitrate and chloride groundwater quality data, selected well construction characteristics, and aquifer assignments for wells in the Great Lakes Watershed, United States

This data release contains groundwater-quality data for nitrate and chloride, and well information for sample sites for aquifers in the Great Lakes Basin within the United States. Water-quality data and well information were derived from a dataset compiled from the U.S. Geological Survey (USGS) National Water Information System and numerous agencies and organizations at the state, regional, and lo

Concentrations of inorganic, organic, and microbial analytes from a national reconnaissance of wastewater from food, beverage, and feedstock facilities across the United States

This dataset contains results for treated wastewater samples collected at food processing facilities across the United States to characterize the potential contaminant profile of this type of wastewater. The associated report (Hubbard and others, 2021) can be found at Samples were analyzed by USGS laboratories using 10 target organic (576 unique analytes),

Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016

Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including the Middle B

OFR 2021-1008 MODEL ARCHIVE: Soil-Water-Balance model developed to simulate net infiltration and irrigation water use for the Mississippi Embayment Regional Aquifer System, 1915 to 2018

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the Mississippi Alluvial Aquifer for 1915 to 2018. The model was calibrated using monthly values of evapotranspiration and annual values of runoff and recharge for 19 drainage basins selected from within or nearby the Mississippi Alluvial Aquifer system. The calibrated SWB model

Avian Botulism qPCR data, Leelanau Peninsula, Michigan. Years 2011-2014

Avian botulism toxicity is a common cause of death to water and shore birds that live near or migrate through Lake Michigan. The botulism neuro-toxin type E (bontE) gene is responsible for the production of botulinum neurotoxin type E. Quantitative Polymerase Chain Reaction (qPCR) was performed using a Step One Plus Thermocycler (Applied Biosystems) and protocol described in Getchell and others,

Columbia County Groundwater Model

A MODFLOW-NWT model was used to simulate long-term, average conditions in the regional, Columbia County groundwater system since about 1970. A GFLOW model was used to estimate regional boundary fluxes to the MODFLOW-NWT model domain.

Mercury source identification in the Mobile and Tombigbee Rivers

This dataset details mercury concentrations and mercury stable isotope values collected as part of an environmental mercury assessment encompassing the Mobile and Tombigbee Rivers as well as two U.S. Environmental Protection Agency Superfund sites. The Tensaw River was also sampled as part of this study as a reference site, absent of mercury contamination. As a part of this survey, sediments, wate

Soil physical, chemical, and biological data from edge-of-field agricultural water quality monitoring sites in Great Lakes States

Soil data were collected from catchments of USGS edge-of-field (EOF) monitoring sites in Great Lakes Restoration Initiative (GLRI) priority watersheds. As part of this release, soil data from 2016 through 2019 are provided from 14 sites spanning 5 Great Lake States (Wisconsin, Michigan, Ohio, Indiana, and New York). The data collected are from private farms representing a variety of agronomic syst

Mercury and Methylmercury Stable Isotope Measurements in Giant Petrels

Methylmercury (MeHg) and total mercury (HgT) stable isotope measurements were made by the USGS Mercury Research Lab (MRL) in different organs on the Giant Petrels (Macronectes spp.) to examine internal mercury cycling in these seabirds. These data were collected as a compliment to x-ray spectroscopy measurements made by the University of Grenoble, France. The tissues and feathers of the southern g

Predicting water temperature in the Delaware River Basin

Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish and mussel species. This data release supports a variety of flow and water temperature modeling efforts and provides the inputs and outputs of both machine learning and process-based modeling methods across 456 river rea