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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: 269

Bathymetry of Honest John Lake, Bad River Slough, the Lower Bad River, and the Kakagon River (April 30 to May 1, 2025) Bathymetry of Honest John Lake, Bad River Slough, the Lower Bad River, and the Kakagon River (April 30 to May 1, 2025)

The U.S. Geological Survey Upper Midwest Water Science Center, in cooperation with the U.S. Coast Guard Great Lakes Oil Spill Center of Expertise and the Mashkiiziibii Natural Resources Department, completed bathymetric surveys of the lower Bad River, Kakagon River, Honest John Lake, and the Bad River Slough using multibeam and single beam echosounders from April 29 to May 1, 2025. This...

Phytoplankton and Cyanotoxin Data for Coastal and Shoreline Areas of National Parks, 2021-2024 Phytoplankton and Cyanotoxin Data for Coastal and Shoreline Areas of National Parks, 2021-2024

This U.S. Geological Survey (USGS) data release contains phytoplankton classification and enumeration results from near-surface water samples collected during a nationwide harmful algal bloom (HAB) monitoring effort in partnership with the National Park Service (NPS) Water Resources Division. Samples were collected during the 2021-2024 monitoring seasons from 26 National Parks across the...

Water quality concentration and load data for a biofilter at Green Tech Station in Milwaukee, Wisconsin, 2022–24 Water quality concentration and load data for a biofilter at Green Tech Station in Milwaukee, Wisconsin, 2022–24

The U.S. Geological Survey conducted a study in Milwaukee, Wisconsin, to evaluate the performance of a biofilter designed to treat urban stormwater runoff from a roadway. This data release includes load calculations for total suspended solids, nutrients, major ions, and 12 metals for monitoring that ran from March, 2022 to November, 2024. Loads are reported for both the inlet (USGS site...

Mercury Concentrations in Waters, Seston, Mussels, Sediment, and Prey Fish from Lake Ontario, 2023 Mercury Concentrations in Waters, Seston, Mussels, Sediment, and Prey Fish from Lake Ontario, 2023

As part of the larger Great Lakes Cooperative Science and Monitoring Initiative (CSMI) , the U.S. Geological Survey Mercury, Metals, and Microplastics Research Laboratory (USGS M3RL) completed a binational assessment partnering with the U.S. Environmental Protection Agency (US EPA), Environmental Climate Change Canada (ECCC), Ontario Ministry of Natural Resources and Forestry (ONRF)...

Upper Midwest Water Science Center Chloride Concentration Surrogate Models Upper Midwest Water Science Center Chloride Concentration Surrogate Models

Linear regression models were developed using specific conductance to estimate chloride concentrations at stream and storm sewer sites monitored by the Upper Midwest Water Science Center (UMidWSC) for UMidWSC stakeholders. Methods for model development, application, and maintenance are described in Standard Operating Procedures for Computing Chloride Concentrations and Loads at Sites...

Surrogate Regression Model for Computation of Chloride Concentrations at Station 05427965 Spring Harbor Storm Sewer at Madison, Wisconsin (2014-2024) Surrogate Regression Model for Computation of Chloride Concentrations at Station 05427965 Spring Harbor Storm Sewer at Madison, Wisconsin (2014-2024)

In cooperation with the City of Madison and the Madison Metropolitan Sewerage District (MMSD), the U.S. Geological Survey (USGS) has collected discrete storm sewer samples for analysis of chloride concentrations at a real-time streamflow and water-quality monitoring (specific conductance) station located at Spring Harbor Storm Sewer in Madison, Wisconsin (USGS station 05427965). Data...

Data supporting multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin Data supporting multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin

This data release contains model input files, workflows, and results supporting a proof-of-concept that combines hydro-economic modeling, scenario-based modeling, and multi-objective optimization to evaluate pumping curtailment in an over-allocated basin in the Western United States. The previously published hydro-economic model combines bespoke python economic calculations with a...

Surface water microplastics concentrations and characteristics from inland lakes in Minnesota, 2023: Version 1 Surface water microplastics concentrations and characteristics from inland lakes in Minnesota, 2023: Version 1

This dataset describes the total concentration (Microplastics per Liter - MPL) of microplastics in surface water from eighteen distinct inland lakes in Minnesota. It also includes individual microplastic characteristics such as the longest measured dimension, width perpendicular to the longest dimension, color, morphology, length-to-width ratio, and composition. Spatial land use data, U...

Winter Sediment Oxygen Demand and Sediment Characteristics in Pools 4, 8, and 13 of the Upper Mississippi River, 2022 Winter Sediment Oxygen Demand and Sediment Characteristics in Pools 4, 8, and 13 of the Upper Mississippi River, 2022

Many ecological processes affect availability of winter dissolved oxygen (DO) concentrations in rivers, a key feature of overwintering fish habitat. Sediment oxygen demand (SOD) contributes to DO depletion, particularly during ice-covered periods, and may cause hypoxic conditions in backwater lakes, affecting availability of suitable overwintering habitat. Understanding drivers of SOD on...

Workflow and data supporting ensemble-based history matching and uncertainty quantification for selected watersheds from the National Hydrologic Model Workflow and data supporting ensemble-based history matching and uncertainty quantification for selected watersheds from the National Hydrologic Model

History matching of large hydrologic models is challenging due to data sparsity and non-unique process combinations (and associated parameters) that can produce similar model predictions. We developed an ensemble-based history matching and uncertainty quantification approach using an iterative ensemble smoother (iES) method for three cutouts of the National Hydrologic Model (NHM) and...

Relative abundance of Clostridium botulinum type E toxin gene in sediment cores collected from northern Lake Michigan near Sleeping Bear Dunes National Lakeshore, USA Relative abundance of Clostridium botulinum type E toxin gene in sediment cores collected from northern Lake Michigan near Sleeping Bear Dunes National Lakeshore, USA

This data release contains relative abundance data of the Clostridium botulinum neurotoxin type E gene (bontE) in sediment cores collected from three nearshore depositional basins near Sleeping Bear Dunes National Lakeshore (SLBE), Lake Michigan, in September 2010. Sediment cores were collected using a box corer and maximum collection depth ranged from 23 to 42 centimeters. Each sediment...

Model Archive - Statistical analysis of the influence of conservation implementation on water quality during surface runoff events at edge-of-field monitoring sites located in the Laurentian Great Lakes Basin, 2012 to 2021 Model Archive - Statistical analysis of the influence of conservation implementation on water quality during surface runoff events at edge-of-field monitoring sites located in the Laurentian Great Lakes Basin, 2012 to 2021

This is an archive of model code used in statistical analysis of the influence of conservation implementation on water quality during surface runoff events at edge-of-field monitoring sites located in the Laurentian Great Lakes Basin, using data collected from 2012 to 2021. The workflow includes two types of analysis: 1) analysis of covariance (ANCOVA) for paired sites and 2) generalized...
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