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Otolith microchemistry for determining natal origins of prey fishes in the Upper Mississippi River System

This dataset includes otolith and water chemistry used for determining natal origins of individuals from six species. The dataset contains Sr:Ca and Ba:Ca of water samples for the Mississippi River and tributaries as well as otolith Sr, Ba, Mg values from fishes collected in navigation pools 4, 8, 13, and 26 of the Upper Mississippi River, as well as the Open River Reach of the Middle Mississippi

Data and code release: Acute toxicity of TFM to multiple life stages of Obovaria subrotunda, its host (Percina maculata), and a surrogate species (O. olivaria)

The risk of lampricide applications (such as 4-Nitro-3-(trifluoromethyl)phenol, TFM) to non-target fauna continues to be a concern within the Great Lakes Fishery Commission sea lamprey control program, especially among imperiled aquatic species—such as native freshwater mussels. The Grand River (Ohio) is routinely treated for larval sea lampreys (Petromyzon marinus) and this river contains populat

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

Histogram-based gradient boosted regression tree model of mean ages of shallow well samples in the Great Lakes Basin, USA

Green and others (2021) developed a gradient boosted regression tree model to predict the mean groundwater age, or travel time, for shallow wells across a portion of the Great Lakes basin in the United States. Their study applied machine learning methods to predict ages in wells using well construction, well chemistry, and landscape characteristics. For a dataset of age tracers in 961 water sample

Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin

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

Calculated Leached Nitrogen from Septic Systems in Wisconsin, 1850-2010

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 othe

Compiled age tracer and redox chemistry data for the State of Wisconsin, 1987-2009

This data set was compiled to support the development of a model of oxygen reduction rates in Wisconsin groundwater wells; a model which is part of a Groundwater Nitrate Decision Support Tool for Wisconsin. Data were compiled from previously published studies with data collection from 1987 to 2009. Only data describing redox condition, groundwater age, depth to water, and well construction were co

Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin

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 an ensemble of calibrated parameters to make nitrate predi

GIS files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin

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

Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin

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). Running and using the GW-NDST software involves downloading the software code (v

Effects of water chemistry on carbon dioxide toxicity to zebra mussels (Dreissena polymorpha)

Data were collected during experiments to determine the effects of water chemistry on carbon dioxide toxicity to zebra mussels (Dreissena polymorpha). Water chemistry parameters were collected for the water used in the study. Data were collected to model the relationship of carbon dioxide and pH in various water chemistries. Measurements were made to describe the animals used in the study.

Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2021)

This dataset includes pipe-flow monitoring data in sewers used to analyze the water budget at RecoveryPark in Detroit, Michigan. These are provided as 3 text comma separated format files at sewer locations that drain the study area. In addition, there are 6 text comma separated format files containing the Rhodamine dye tracer concentrations collected in the combined sewer locations for this study.