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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: 207

Water level, inundation, longitudinal profile, geomorphic change, and landform data for the Bad River (Mashkiiziibii) Estuary, WI, between 2014 and 2023

Some of the richest coastal wetland and estuarine habitats are found along the Great Lakes, but the dynamic, sediment-rich contributions from episodic river flooding are poorly understood. In 2016, record flooding of the sediment-rich Bad River (Mashkiiziibii) caused total inundation of the Bad River and Kakagon Sloughs feeding Lake Superior and Chequamegon Bay. Water level and river flow data, lo

Multilayer perceptron classifier and shoreline extraction routine for Minnesota Point PlanetScope satellite imagery

A site-specific multilayer perceptron model was developed to classify PlanetScope satellite imagery of Minnesota Point, and the classifier was paired with a shoreline delineation routine to extract the position of the land-water interface. Satellite-dervived shorelines were used to measure changes in beach width associated with beach nourishment projects and changing water levels. The model is bas

Data for improved understanding of the susceptibility of Lake Superior to threats from groundwater contamination

This data release contains a data compilation and analysis of the hydrogeology in the U.S. portion of the Lake Superior watershed, for the purpose of providing background data for future study and modeling of groundwater and contaminant movement in the watershed. The data support an analysis of groundwater contributions to the water budget of Lake Superior and provide hydrogeologic context for fut

Plain pocketbook (Lampsilis cardium) glochidia counts and transformation rates collected during laboratory exposures to agriculture and urban contaminant mixtures and measured contaminant concentrations, 2018

This data release includes datasets provided by the Woolnough Laboratory at Central Michigan University. These data were collected as a part of a laboratory exposure experiment, conducted in 2018, examining the effects of agricultural and urban contaminant mixtures on two life stages (larval and juvenile) of the freshwater mussel, plain pocketbook (Lampsilis cardium), using largemouth bass (Microp

MODFLOW 6 models for simulating groundwater flow in the Mississippi Embayment with a focus on the Mississippi Delta

This model archive contains the model files for the MERAS 3 and Mississippi Delta groundwater flow models documented in the U.S. Geological Survey Scientific Investigations Report 2023-5100. The MERAS 3 model provides a simplified representation of groundwater flow in the Mississippi Embayment Regional Aquifer Study (MERAS) area for the period of 1900 through 2018, with the primary goal of providi

Mercury Methylation Assay Along a Salinity Gradient in Coastal Peat Soils in the Florida Everglades

This data was collected as part of a laboratory study examining the effects of sea level rise on mercury (Hg) methylation and demethylation rates in peat cores collected from the Florida Everglades. Peat cores were collected from a freshwater region of the Everglades, Water Conservation Area 3, in 2022 and taken to the University of California-Davis for methylation and demethylation studies. Prior

Mercury Stable Isotope Assessment of Dragonflies and Fish Tissues across United States National Parks

This dataset details mercury (Hg) stable isotope values in dragonflies and fish tissues collected across U.S. National Parks. Dragonfly samples were collected as part of the Dragonfly Mercury Project (https://geonarrative.usgs.gov/dmp/), a citizen science project focused on using dragonfly larvae as biosentinels for Hg bioaccumulation. Fish were collected as part of separate park-wide monitoring i

Groundwater and soil gas data, methods, and quality assurance information for samples collected to determine ancient carbon distributions at Red Hill, Bulk Fuel Storage Facility, O‘ahu, Hawai‘i 2022-2023

This U.S. Geological Survey (USGS) Data Release describes field methods, lab methods, and data for groundwater and soil gas samples collected in the vicinity of the Red Hill Bulk Fuel Storage Facility, O‘ahu, Hawai‘i, from September 2022 through April 2023. The Red Hill facility consists of 20 underground fuel storage tanks that can each hold approximately 12.5 million gallons of fuel and are conn

Nutrient and sediment concentrations, loads, yields, and rainfall characteristics collected at a USGS subsurface-tile edge-of-field agricultural monitoring site in South Central Michigan within the Maumee River Basin, 2019-2023

This data release contains nutrient and sediment concentrations, loads, and yields from a USGS subsurface-tile edge-of-field (EOF) agricultural monitoring site. Sampling and flow monitoring were performed at the outlet of a subsurface-tile that drains 14.7 acres of cultivated cropland. The site is located in South Central Michigan and discharges into a headwater stream of the Maumee watershed. Thr

Model Archive for an Impulse Response Emulator of Groundwater Contaminant Transport Models

This archive contains the code and other files to demonstrate the creation and application of an impulse-response emulator for process-based groundwater flow and transport models in MODFLOW/MT3D. This includes creating a synthetic modeling environment in MODFLOW/MT3D, using PEST++ to derive an impulse-response (A) matrix (as described in White et al., 2020), using this A matrix to create a groundw

Microbial source tracking for streams in Scott County, Iowa, 2023

Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain anim

Multivariate regression model for predicting oxygen reduction rates in groundwater for the State of Wisconsin

A multivariate regression model was developed to predict zero-order oxygen reduction rates (mg/L/yr) in aquifers across the State of Wisconsin. The model used a combination of dissolved oxygen concentrations and mean groundwater ages estimated with sampled age tracers from wells in the U.S. Geological Survey National Water Information System and previously published project reports from state agen
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