Skip to main content
U.S. flag

An official website of the United States government

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: 206

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 arsenic was

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 mostly urban

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 variab

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 sediment grai

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 contributing area d

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 referred t

Weathering of Oil in a Surficial Aquifer, Bemidji, MN

The dataset consists of 30-year percentage depletion calculations, hydrocarbon group compositions, organic carbon mass fractions and hydrocarbon concentrations for 16 locations sampled at the Bemidji (MN) oil spill study site. Also included in the dataset are concentrations for 33 individual volatile hydrocarbons from the aforementioned sampling locations.

Avian Botulism qPCR data, Leelanau Peninsula, Michigan. Years 2011-2014

Avian botulism toxicity is a common cause of death to water and shore birds that live near or migrate through Lake Michigan. The botulism neuro-toxin type E (bontE) gene is responsible for the production of botulinum neurotoxin type E. Quantitative Polymerase Chain Reaction (qPCR) was performed using a Step One Plus Thermocycler (Applied Biosystems) and protocol described in Getchell and others,

Sleeping Bear Dunes National Lakeshore qPCR Data. Collection Year: 2012

This environmental dataset consists of 56 sediment, 24 Cladophora and 22 water samples collected from beaches at Glen Haven, Good Harbor, Platte Bay and Esch road beach, located within The Sleeping Bear Dunes National Lakeshore, Leelanau and Benzie counties, Michigan. The dataset includes matrix type, location, data, time and the qPCR reported value for each sample collected.

Suspended-sediment concentrations, acoustic data, and linear regression models for the Lower Minnesota River, Mississippi River, and Lake Pepin, 2015-2017

A series of linear regression models were developed and calibrated for the Minnesota and Mississippi Rivers. The linear regression models were calibrated using acoustic and suspended-sediment concentration data collected from March through November 2016 and 2017. The estimates of suspended-sediment concentrations from the linear regression were used to calculate loads. The calibrated models were u

Data for Biogeochemical and Physical Processes Controlling Mercury and Selenium Bioaccumulation in Bighorn Lake, Bighorn Canyon National Recreation Area, Montana and Wyoming, 2015-2016

This dataset includes the field measurements and laboratory analyses of surface water, seston, fish tissue, and sediment samples collected from Bighorn Lake, within Bighorn Canyon National Recreation area (BICA), during high flow (July 2015) and low flow (August 2016) conditions. The study area includes 7-9 sampling sites that follow a transect spanning the entire length of the reservoir from the

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 Augu
Was this page helpful?