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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):

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: 128

Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model

This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-xxxx) and code contain

Hydrologic metrics, biological metrics, R scripts, and model archives associated with regression analyses used to quantify relations between altered hydrological and biological responses in rivers of Minnesota, 1945-2015

The U.S. Geological Survey (USGS) and the Minnesota Pollution Control Agency (MPCA) conducted a cooperative study to develop linear regression models that quantify relations among 173 hydrologic explanatory metrics in five categories (duration, frequency, magnitude, rate-of-change, and timing) computed from streamgage records and 132 biological response metrics in six categories (composition, habi

Groundwater data and age information from samples collected in Minnesota

Groundwater age distributions and susceptibility to natural and anthropogenic contaminants were assessed for selected wells, streambed piezometers, and springs in southeastern Minnesota. The data provide information to understand how long it will take to observe groundwater quality improvements from best management practices implemented at land surface to reduce losses of nitrate (and other chemic

Source Identification of Mercury and Methylmercury using Stable Isotope Analysis in the Fox River, WI

The lower Fox River in Wisconsin is a heavily industrialized system and the major tributary to Green Bay within Lake Michigan. The region has been a listed as Area of Concern by the United States Environmental Protection Agency (USEPA), indicating severe impairment of the ecological health of the system. Remedial action has taken place along the river to remove extensive polychlorinated biphenyl (

Total phosphorus and total dissolved phosphorous released from Green Ash (Fraxinus pennsylvanica) and Norway Maple (Acer platanoides) as they contribute to leachable phosphorus in leaf litter and impact phosphorus loads in urban stormwater

The data set contains results from leaf litter samples analyzed for total phosphorus (TP) and total dissolved phosphorus (TDP) released from Green Ash (Fraxinus pennsylvanica) and Norway Maple (Acer platanoides) leaves in three medium-density urban residential basins in Madison, WI, USA during October and November of 2017 and 2018. Tables contain averages and standard deviations for all replicates

Great Lakes tributary pharmaceutical water samples from water year 2018

This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulti

Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019

This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019

Assessment of mercury sources in Alaskan lake food webs

This data release includes results of raw water, soil, seston, and fish tissue samples collected from lakes in southwestern Alaska between 2011 and 2016. Specifically, these data include total mercury and methylmercury concentrations in water, size-sieved seston, and particulate matter of 13 remote lakes. Additionally, these data include soil and volcanic ash measurements from the surrounding wate

Total and Methyl Mercury Water and Fish Concentrations within Everglades National Park

The data in this data release includes results from the analysis of water and fish from 76 sites in the Everglades National Park (ENP). Water and particulate matter samples were collected from 2008 to 2018 and analyzed for total mercury (THg) and methylmercury (MeHg). Filtered water samples were also analyzed for dissolved organic carbon (DOC), specific ultraviolet absorbance (SUVA), and major ani

Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019

A series of simple linear regression models were developed for the U.S. Geological Survey (USGS) streamgage at Rice Creek below Highway 8 in Mounds View, Minnesota (USGS station number 05288580). The simple linear regression models were calibrated using streamflow data to estimate suspended-sediment (total, fines, and sands) and bedload. Data were collected during water years 2010, 2011, 2014, 201

Soil-Water-Balance model developed to simulate net infiltration, irrigation water requirements, and other water budget components in support of the Central Sands Lakes Study, Wisconsin

This model archive provides input and output for Soil-Water-Balance (SWB) models developed for the Central Sands Lake study in central Wisconsin; this archive supplements the technical appendix in a report to the Wisconsin State Legislature written by the Wisconsin Department of Natural Resources (WDNR) in response to 2017 Wisconsin Act 10. This legislation directed DNR to determine whether existi

Isotopic Examination of Mercury Methylation and Demethylation Rates in Yellowstone National Park Thermal Features

Data in this data release were obtained for water samples collected under Yellowstone National Park Research Permit YELL-05194 in 2017 through the Integrated Yellowstone Studies Project funded by the Mineral Resources Program. Isotope-spiked incubations were carried out to determine methylation and demethylation potential for Frying Pan spring, Crystal Sister East, Crystal Sister West, and Turbule