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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

Eutrophication models to simulate changes in the water quality of Green Lake, Wisconsin in response to changes in phosphorus loading, with supporting water-quality data for the lake, its tributaries, and atmospheric deposition

In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total phosphorus concentrations and metalimnetic dissolved oxygen concentrations, and quantify the water and phosphorus inputs to the lake. We also provide inputs to and outputs from the General Lake Model coupl

Groundwater Model Archive and Workflow for Neversink/Rondout Basin, New York, Source Water Delineation

This model archive contains model files and a complete repeatable workflow for source water delineation for groundwater supply wells in the Neversink/Rondout Basins of New York. The U.S. Geological Survey, in cooperation with the NYSDEC and NYSDOH, began an investigation in 2019 with the general objectives of (1) improving understanding of the regional groundwater flow system (2) delineating areas

The Vigil Network: long-term, broad spectrum data collected to observe landscape change in drainage basins

Long-term monitoring data of geomorphic, hydrological, and biological characteristics of landscapes. This information provides an effective means of relating observed change to possible causes of the change. Identification of changes in basin characteristics, especially in arid areas where the response to altered climate or land use is generally rapid and readily apparent, might provide the initia

Bedload Intake Efficiency: Comparison of measurements obtained using # bedload samplers in a flume

Bedload and ancillary data herein were used to calculate and compare the bedload-trapping efficiencies of four types of pressure-difference bedload samplers as part of episodic, sediment-recirculating flume tests. The U.S. Geological Survey, in concert with the Federal Interagency Sedimentation Project (FISP), conducted the tests from January through March 2006 at the St. Anthony Falls Laboratory,

WaterWatch (surface water)

WaterWatch displays maps, graphs, and tables describing real-time, recent, and past streamflow conditions for the United States, including flood and droughts. Real-time information generally is updated on an hourly basis.


The USGS WaterNow service lets users receive current conditions for USGS water-data-collection stations on demand via email or cell-phone text message. The user sends an email or text message containing a USGS current-conditions gaging site number, and will quickly receive a reply with the station's most recent data for one or more of its monitored parameters.

Historic Lake Superior shorelines near Odanah, Wisconsin (1852 - 2013)

This USGS data release presents historic shorelines of Lake Superior near Odanah, Wisconsin encompassing the delta complex of the Bad River from 1852 to 2013 compiled in a Geographic Information System. The coverage of the shorelines starts approximately 8 km northeast of Ashland and extends for about 40 km to approximately 3 km east of the Bad River mouth. The shorelines were derived from land su

Selected sediment data and results from regression models, modified Einstein Prodecure, and loads estimation for the Nemadji River, 1973-2016

This data set includes new and historical sediment data collected at the U.S. Geological Survey (USGS) streamgage on the Nemadji River near South Superior, Wisconsin (station number 04024430) from 1973 through 2016. The data were used in a comparison study of stream sediment collection and laboratory techniques for characterizing suspended sediment, bedload, and total sediment loads. Data results

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are:

Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lake States

This data release focuses on the nutrient and sediment concentrations, loads, and yields at USGS surface and subsurface-tile edge-of-field (EOF) agricultural monitoring sites in Great Lakes States. Water quality and rainfall metrics are summarized by individual flow events to evaluate the contribution of EOF losses to headwater stream networks in agricultural landscapes. USGS EOF stations are comp

Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota

Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin mixture (MI

Long-term mean annual total nitrogen and total phosphorus loads estimated using Fluxmaster 5-parameter models and detrended to 2012, Midwest Region of the United States, 1999-2014

This USGS data release contains long-term mean annual total nitrogen and total phosphorus load estimates, and the model coefficients used to obtain the load estimates, for streams in the Midwest Region of the United States. The loads were estimated using the Fluxmaster program (Schwarz and others, 2006, with a 5-parameter model and detrending to 2012 following