Skip to main content
Advanced Search

Filters: Types: OGC WFS Layer (X) > Categories: Data (X) > Types: OGC WMS Layer (X) > partyWithName: Upper Midwest Water Science Center (X)

38 results (10ms)   

View Results as: JSON ATOM CSV
thumbnail
Long-term monitoring data of geomorphic, hydrological, and biological characteristics of landscapes. This information provides an effective means of relating observed change to possible causes of the change. Identification of changes in basin characteristics, especially in arid areas where the response to altered climate or land use is generally rapid and readily apparent, might provide the initial direct indications that factors such as global warming and cultural impacts have affected the environment. The Vigil Network provides an opportunity for earth and life scientists to participate in a systematic monitoring effort to detect landscape changes over time, and to relate such changes to possible causes. This...
thumbnail
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 August 2014 through September 2016. These data are interpreted in a USGS Scientific Investigations Report.
thumbnail
The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
thumbnail
This data set includes new and historical sediment data collected at the U.S. Geological Survey (USGS) streamgage on the Nemadji River near South Superior, Wisconsin (station number 04024430) from 1973 through 2016. The data were used in a comparison study of stream sediment collection and laboratory techniques for characterizing suspended sediment, bedload, and total sediment loads. Data results included in this data release include 1) suspended-sediment concentration data collected in 2015-16 using U.S. Geological Survey and Wisconsin and Minnesota Department of Natural Resources (DNR) methods; 2) streambed material particle size, measured bedload, total sediment loads, and model archive for the modified Einstein...
thumbnail
The Fox River network, which includes Apple Creek, contributes a significant amount of total phosphorus (P), including both sediment-bound P (sed-P) and dissolved reactive P (DRP, also known as orthophosphate) and suspended sediment to Green Bay/Lake Michigan. Most headwater streams of the Fox River are predominantly agricultural in land use, interspersed with rural communities and the industrialized Fox River Valley corridor. Implementation of best management practices on agricultural operations has worked to limit the amount of material that is carried to the stream from cropland. However, several studies have shown streambank erosion to be another source of suspended sediment in these streams. These files contain...
thumbnail
This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-5079) and code contained in a USGS GitLab repository. The GitLab repository (https://code.usgs.gov/map/maprandomforest/) contains much more information about how these data may be used to supply predictions of stream flow and baseflow.
thumbnail
This section of the data release supports the data used in models for the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek (USGS site ID: 04084911) and West Plum Creek (USGS site ID: 04084927) in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of...
thumbnail
This dataset describes the storm event mean concentrations and loads of total and dissolved forms of phosphorus and nitrogen from paired samples collected in the control and test catchment during the calibration and treatment phase of a leaf removal study in Madison, Wisconsin, USA. Samples were collected in spring 2013 through fall 2015 and are parsed by season where spring represents April – May, summer represents June – September and fall represents October – November. Measured weather parameters for each sampled storm event are also described. These data are interpreted in a journal article published in Science of the Total Environment.
thumbnail
The U.S. Geological Survey, Voyageurs National Park, South Dakota State University, and Missouri Department of Conservation conducted a cooperative study to measure ratios of strontium to calcium (Sr:Ca) in cross sections of pectoral fin rays obtained from lake sturgeon (Acipenser fulvescens) captured in lakes and rivers of Namakan Reservoir in Minnesota and Ontario. We measured Sr:Ca ratios in cross sections of 37 pectoral fin rays collected from 10 locations (5 rivers and 5 lakes) in Namakan Reservoir as part of a larger study to investigate whether relations between Sr:Ca in water and pectoral fin rays were significant and useful for determining migratory histories of lake sturgeon in Namakan Reservoir. Pectoral...
thumbnail
A Groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST relies on several support models, including machine-learning models that require numerous GIS input files. This data release contains all GIS files required to run the GW-NDST and its machine-learning support models. The GIS files are packaged into three ZIP files (WI_County.zip, WT-ML.zip, and WI_Buff1km.zip) which are contained in this data release. Before running the GW-NDST, these ZIP...
thumbnail
A histrogram-based boosted regression tree (HBRT) method was used to predict the depth to the surficial aquifer water table (in feet) throughout the State of Wisconsin. This method used a combination of discrete groundwater levels from the U.S. Geological Survey National Water Information System, continuous groundwater levels from the National Groundwater Monitoring Network, the State of Wisconsin well-construction database, and NHDPlus version 2.1-derived points. The predicted water table depth utilized the HBRT model available through Scikit-learn in Python version 3.10.10. The HBRT model can predict the surficial water table depth for any latitude and longitude for Wisconsin. A total of 48 predictor variables...
thumbnail
The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and St. Cloud State University (SCSU), identified the occurrence of chemicals of emerging concern (CECs) in water and bottom sediment collected in 2014 at 65 sites throughout the Great Lakes Basin. The 2014 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2014, and associated quality-assurance data. Samples were collected during the periods of April to May and August to September by USGS, USFWS, and (or) SCSU personnel. Study sites include tributaries to the Great Lakes located...
thumbnail
This data release contains a netCDF file containing decadal estimates of nitrate leached from septic systems (kilograms per hectare per year, or kg/ha) in the state of Wisconsin from 1850 to 2010, as well as the python code and supporting files used to create the netCDF file. The netCDF file is used as an input to a Nitrate Decision Support Tool for the State of Wisconsin (GW-NDST; Juckem and others, 2024). The dataset was constructed starting with 1990 census records, which included responses about households using septic systems for waste disposal. The fraction of population using septic systems in 1990 was aggregated at the county scale and applied backward in time for each decade from 1850 to 1980. For decades...
thumbnail
Five discrete groundwater seepage measurements were collected to make a direct measurement of the flux of water across the sediment-water interface. Change in volume/time is the volumetric rate of flow. The volumetric rate of flow was used to calculate flux velocity (distance/time), by dividing the specific area of the seepage meter (2.70-square-feet). The change in volume over the time the seepage test was conducted is the volumetric flow rate of ground water seepage. Flux velocity could be multiplied by the study area to acquire a shallow groundwater flux.
thumbnail
This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019. Samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory (NWQL). Surface water samples were collected and analyzed for 238 pesticides, pesticide transformation products, and surrogate compounds (NWQL laboratory schedule 2437; Sandstrom and others, 2015), 152 pharmaceuticals, pharmaceutical...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Au Gres River, Buffalo River, Cattaraugus River, Chippewa River, East Twin River, All tags...
thumbnail
This data release provides computed rainfall (rain total, duration, intensity, erosivity and antecedent rainfall) and flow (flow volume, flow-weighted mean concentrations, total loads, and total yields) metrics from monitored precipitation, discharge, and water quality (nutrients and sediment concentrations) data collected at U.S. Geological Survey edge-of-field (EOF) monitoring sites located in five Great Lakes States (Wisconsin, Michigan, Ohio, Indiana, and New York). EOF monitoring sites are installed at the edge of agricultural fields, either on the field surface or using subsurface tiles, where runoff can be intercepted and channeled through monitoring equipment before it enters the natural stream system. These...
thumbnail
This dataset includes per-and polyfluoroalkyl substances (PFAS) and pharmaceuticals monitored at 62 sampling sites in tributaries of the Laurentian Great Lakes. Chemicals were evaluated in a sediment sample (PFAS only) and water concentrations were estimated using polar organic chemical integrative samplers (POCIS). Sediment samples were collected from the 62 sites in June and July 2018, which were analyzed for 23 PFAS compounds using liquid chromatography tandem mass spectrometry (LC/MS/MS). Duplicate sediment samples were collected at 23 sites. Overall, 22 of the 23 sediment PFAS compounds analyzed were detected in samples from at least one site. Pharmaceuticals and PFAS samples were collected instream by deploying...
thumbnail
An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss of wetland storage, and valley-side mass wasting. In 2020, a pilot study was begun to map and classify ephemeral and perennial streams and wetlands in terms of their susceptibility to fluvial erosion hazards. This study combines rapid geomorphic field assessments of river corridor erosion and coupled sediment and debris delivery with...
thumbnail
Hydrologic indicator statistics were computed for 82 selected surface water sites located throughout Minnesota using daily streamflow data from the U.S. Geological Survey (USGS) National Water Information System (NWIS). The 187 hydrologic indicator statistics were computed in RStudio version 3.5.0 using the EflowStats version 5.0.0 (Mills and Blodgett, 2017) and NWCCompare version 5.0 (Blodgett, 2017) packages. The computed hydrologic indicator statistics encompass the five components of hydrologic conditions: magnitude, frequency, duration, timing, and rate of change. Magnitude is the amount of water moving past a fixed location in a given unit of time. Frequency refers to how often streamflows above a given magnitude...
thumbnail
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 agencies and universities. The multivariate regression model was solved using the Microsoft Excel solver, with 461 wells used for training and 46 wells held-out for validation. A total of 31 predictor variables were used for model development (56 were tested), including basic well characteristics, soil properties, aquifer properties,...


map background search result map search result map Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Chemicals of Emerging Concern in Water and Bottom Sediment in the Great Lakes Basin, 2014 - Analytical Methods, Collection Methods,Quality-Assurance Analyses, and Data Concentration of total and dissolved forms of phosphorus and nitrogen from the control and test catchment during the calibration and treatment phase in Madison, WI (2013 - 2015) Groundwater Seepage Measurements in Northeast Section of Bear Lake, Muskegon County, Michigan, October 2015 Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Hydrologic indicator statistics used to examine changes in streamflows associated with changing land use practices in Minnesota, 1945-2015 Ratios of strontium to calcium measured in pectoral fin rays of lake sturgeon (Acipenser fulvescens) captured in the lakes and rivers of Namakan Reservoir, Minnesota, United States and Ontario, Canada, 2007-15 Selected sediment data and results from regression models, modified Einstein Procedure, and loads estimation for the Nemadji River, 1973-2016 Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 2.1, September 2023) The Vigil Network: long-term, broad spectrum data collected to observe landscape change in drainage basins Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin Calculated Leached Nitrogen from Septic Systems in Wisconsin, 1850-2010 Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019 Apple Creek Rapid Geomorphic Assessment, Outagamie County, Wisconsin Multivariate regression model for predicting oxygen reduction rates in groundwater for the State of Wisconsin Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018 Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin GIS files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin Concentration of total and dissolved forms of phosphorus and nitrogen from the control and test catchment during the calibration and treatment phase in Madison, WI (2013 - 2015) Selected sediment data and results from regression models, modified Einstein Procedure, and loads estimation for the Nemadji River, 1973-2016 Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Groundwater Seepage Measurements in Northeast Section of Bear Lake, Muskegon County, Michigan, October 2015 Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin Ratios of strontium to calcium measured in pectoral fin rays of lake sturgeon (Acipenser fulvescens) captured in the lakes and rivers of Namakan Reservoir, Minnesota, United States and Ontario, Canada, 2007-15 Apple Creek Rapid Geomorphic Assessment, Outagamie County, Wisconsin Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin Multivariate regression model for predicting oxygen reduction rates in groundwater for the State of Wisconsin Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model GIS files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin Calculated Leached Nitrogen from Septic Systems in Wisconsin, 1850-2010 Hydrologic indicator statistics used to examine changes in streamflows associated with changing land use practices in Minnesota, 1945-2015 Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019 Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 2.1, September 2023) Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018 Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Chemicals of Emerging Concern in Water and Bottom Sediment in the Great Lakes Basin, 2014 - Analytical Methods, Collection Methods,Quality-Assurance Analyses, and Data The Vigil Network: long-term, broad spectrum data collected to observe landscape change in drainage basins