Data

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)...

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...

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...

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...

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...

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...

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...

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...

A stormwater pond in Cherokee Park, Madison, Wisconsin was monitored to determine if changes to street cleaning operations in the contributing drainage area would influence pollution reduction efficiency. Event-based water samples were collected from the ponds inlets and outlet from September 2020 through October 2024 and analyzed for nitrogen, phosphorus, sediment and chloride...

This data release provides phytoplankton identification and enumeration data from an algal bloom at Lost Bay on Kabetogama Lake (USGS site ID 482747092503001) collected on September 20, 2022. These data were collected using a systematic grid design, 3 rows by 4 columns grid cells, where each grid cell contained a single sample location. A near-shore sample location, just outside the...

The U.S. Geological Survey (USGS) has regularly collected fish community data from wadable streams in the Milwaukee, Wisconsin area, beginning with the first recorded sample in 1993 and continuing through 2024. These data were collected via electrofishing and seining (in accordance with standard USGS protocols), with the intent of monitoring fish communities and water quality in the area...

This data release provides phytoplankton identification and enumeration data during an algal bloom at Ash River boat docks on Kabetogama Lake (USGS site ID 482603092511801) collected between September 12 and September 13, 2023. samples were collected every three hours over a 24-hour period at two sites, one at the end of a dock and one on the adjacent shoreline. Two quality assurance...