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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: 236

GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin

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 lakes...

Cross section survey of a selected reach of Plaster Creek and Little Plaster Creek, Kentwood, MI, 2018 Cross section survey of a selected reach of Plaster Creek and Little Plaster Creek, Kentwood, MI, 2018

The City of Kentwood (MI) has been faced with repetitive flooding from Plaster Creek near the intersection of Shaffer Avenue SE and 36th Street SE. Nearby businesses and public and private property are at risk for flood damage; as well as degradation of public infrastructure including bridges, exposure of subsurface sanitary sewer lines, and damage to storm water systems. The U.S. Army...

Photos of debris jams on Plaster Creek and Little Plaster Creek, Kentwood, MI, 2018 Photos of debris jams on Plaster Creek and Little Plaster Creek, Kentwood, MI, 2018

The City of Kentwood (MI) has been faced with repetitive flooding from Plaster Creek near the intersection of Shaffer Avenue SE and 36th Street SE. Nearby businesses and public and private property are at risk for flood damage; as well as degradation of public infrastructure including bridges, exposure of subsurface sanitary sewer lines, and damage to storm water systems. The U.S. Army...

Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, tributaries to Lum Drain, Genesee County, Michigan, water years 2012-17 Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, tributaries to Lum Drain, Genesee County, Michigan, 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...

Stable Mercury Isotopic Analyses in Natural Matrices via Rapid Pre-Concentration Method Stable Mercury Isotopic Analyses in Natural Matrices via Rapid Pre-Concentration Method

This data relates to the development of a modified pre-concentration method for mercury (Hg) stable isotope measurements that uses chemical Hg reduction and gold trap amalgamation followed by semi-rapid thermal desorption (less than 1 hour) and chemical trapping in a novel oxidizing solution. The thermal desorption method was demonstrated to perform adequately on multiple trapping...

Fox River walleye mercury isotope data Fox River walleye mercury isotope data

Adult walleye were caught in Fox River (Wisconsin) during April 2014. Age-0 walleye were caught in Fox River during October 2014. Total length, weight, age, and proportion of weight represented by water were determined for each of the walleye. Whole-fish homogenates were prepared during 2014-2015 and during 2017. Total mercury (HgT) concentration, methylmercury (MeHg) concentration, and...

Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods

This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable data used in model development and calculation of predictions, and (3) ASCII files used to predict the probability of elevated arsenic across the two study regions. The probability of elevated...

Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin

This data release includes concentrations of contaminants of emerging concern (CEC), by chemical class, for sites sampled within 25 river basins in the U.S. portion of the Great Lakes basin and associated watershed characteristics. The CEC data include concentrations in surface water and sediment samples that were collected during 2010-2014. During the first 3 years, sample sites near...

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

Historical data sets including inorganic and organic chemistry of water, oil, and sediments, aquifer hydraulic conductivity, and sediment grain size distribution at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minn Historical data sets including inorganic and organic chemistry of water, oil, and sediments, aquifer hydraulic conductivity, and sediment grain size distribution at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minn

This U.S. Geological Survey (USGS) Data Release provides analytical data from samples and measurements completed at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota (Site) between 1984 and 2010. Included are inorganic and organic chemistry data from water, oil, and sediment samples, hydraulic conductivity data from well slug tests, and...

MODFLOW-2000 and MODPATH models for simulations used to delineate contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan: U.S. Geological Survey data release MODFLOW-2000 and MODPATH models for simulations used to delineate contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan: U.S. Geological Survey data release

A regional groundwater flow model (https://pubs.usgs.gov/sir/2009/5244/) was updated to reflect 2017 pumping conditions in the Tri-County Region covering most of Clinton, Eaton, and Ingham Counties, Michigan. This model was developed to simulate the regional hydrologic system in Tri-County area and continues to be used for planning and protection of area water supplies. Revised...

Soil-Water-Balance (SWB) Model used to Simulate Potential Recharge for the Glacial Aquifer System East of the Rocky Mountains, 1980-2011 Soil-Water-Balance (SWB) Model used to Simulate Potential Recharge for the Glacial Aquifer System East of the Rocky Mountains, 1980-2011

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the glacial aquifer system east of the Rocky Mountains in the conterminous United States at a 1-kilometer (km) resolution for the period 1980-2011. The calibrated SWB model in this model archive and associated U.S. Geological Survey Scientific Investigations Report is...
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