Wisconsin Water Science Center

Data and Tools

The Wisconsin Water Science Center collects, analyzes, and distributes data on a wide variety of water-related issues and resources. Much of our data is publicly available through the USGS National Water Information System (NWIS), but additional datasets and analytical tools are also available.

Filter Total Items: 44
Date published: January 1, 2018

Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, in Wisconsin, water years 2012-17

As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate agricultural conservation practices focused on nutrient management. Monitoring methods allow for rapid assessment of water-quality changes in response to conservation...

Date published: January 1, 2018

GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin: U.S. Geological Survey Data Release

Interannual differences in the water quality of Anvil Lake, WI, were examined to determine how water level and climate affect the hydrodynamics and trophic state of shallow lakes, and their importance compared to anthropogenic changes in the watershed. To determine how changes in water level may affect these processes, the General Lake Model (GLM) was used to simulate how the lake’s...

Date published: January 1, 2018

Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016)

This dataset describes water-quantity and -quality data measured from the parking lot influent and underdrain and overflow effluent from the permeable asphalt, concrete and paver test plots in Madison, Wisconsin, USA. Data include precipitation statistics, volumes, and concentrations and loads of total and dissolved forms of solids, nutrients, chloride, and bacteria. Samples were collected in...

Date published: January 1, 2018

Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013

Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor...

Date published: January 1, 2018

Water-quality and streamflow datasets used for estimating loads considered for use in the 2002 Midcontinent nutrient SPARROW models, United States and Canada, 1970-2012

The United States Geological Survey’s (USGS) SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across large spatial scales. SPARROW is a hybrid empirical⁄process-based mass balance model that can be used to estimate the major sources and...

Date published: January 1, 2018

Paired Watershed Data for Pleasant Valley Creek and Ridgeway Branch, Wisconsin 2006-2016

This data release includes three sets of data collected for a farm- and field-focused phosphorus reduction study in south-central, Wisconsin, USA. Paired samples collected in the control and treatment watershed analyzed for suspended sediment, total phosphorus, and total dissolved phosphorus during the calibration and post-treatment phases are presented. Samples were collected in fall 2006...

Date published: January 1, 2018

Eutrophication water-quality models and supporting water-quality and phosphorus load data used to simulate changes in the water quality of the Winnebago Pool Lakes, Wisconsin, in response to change in phosphorus loading

Three eutrophication models (mass balance, BATHUB, and Jensen models) were developed and calibrated for the Winnebago Pools, Wisconsin. These models were used to quantify the input of phosphorus from the sediments of the lakes, and determine how the water quality (total phosphorus concentration, chlorophyll a concentrations, and Secchi depth) should respond to changes in phosphorus loading...

Date published: August 30, 2017

National Water Information System (NWIS) Mapper

The NWIS mapper provides access to over 1.5 million sites contained in the USGS National Water Information System (NWIS), including sites where current and historical surface-water, groundwater, springs, and atmospheric data has been collected. Users can search by site type, data type, site number, or place.

Date published: February 14, 2017

Daily load estimates for the tributary nutrient and sediment monitoring program on the Great Lakes, 2011-2013

Daily estimated loads by site (Great Lakes tributary) and constituent.

Date published: January 17, 2017

Tracking the Source and Quantity of Nutrients to the Nation's Estuaries and Great Lakes

This tool provides access to information and maps of watershed nutrient contributions to the Nation's Estuaries and Great Lakes.

Date published: January 1, 2017

Benthos and Plankton data for Waukegan Harbor Area of Concern, Illinois, and Burns Harbor-Port of Indiana Non-Area of Concern, Indiana, in 2015

During two seasonal sampling events in spring (June) and fall (August) of 2015, the U.S. Geological Survey, in cooperation with the Illinois Department of Natural Resources and the U.S. Environmental Protection Agency, collected benthos (benthic invertebrates) and plankton (zooplankton and phytoplankton) at three sites each in the Waukegan Harbor Area of Concern (AOC) in Illinois and in Burns...

Date published: January 1, 2017

Human-associated indicator bacteria and human specific virus loads, sample volumes, and drainage areas for six Menomonee River Watershed sampling locations, Milwaukee, Wisconsin 2009 to 2011

Human-associated indicator bacteria and human specific viruses in the Menomonee River watershed in Milwaukee, WI were investigated from April 2009 to March 2011 at six sampling locations within the watershed using genetic markers to assess the amount of waterborne pathogen contamination. We used concentration and water volume data from runoff-event and low-flow periods to compute human virus...