Data

The U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to determine the occurrence of unregulated contaminants in source and finished drinking waters throughout Minnesota. Minnesota relies on both groundwater and surface water sources for drinking water, which may be vulnerable to influences such as wastewater discharge and/or agricultural activities.

The Kalamazoo River Area of Concern (AOC) in Michigan has multiple dams in various stages of removal. Following dam removal, river restoration activities will occur in impacted reaches. Hydrogeomorphic data from relatively undisturbed and hydraulically stable river reaches are commonly used to inform the design parameters of river restoration projects. Reference reaches should be selected that ope

Bathymetric data were collected with a single-beam echosounder in 2022 for 18 selected shallow (0-3 meters) areas to improve a digital elevation model (DEM) for Rainy Lake and Namakan Reservoir created by Environment and Climate Change Canada. Bathymetric data were collected in transects spaced approximately 20 meters apart. In addition to the bathymetric data, the locations and elevations of obse

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 wer

This is the qPCR and loop-mediated isothermal amplification (LAMP) data in support of the article "Validation of a portable eDNA detection kit for invasive carps". There are four types of data contained in five files including: limit of detection analysis for each method (qPCR and LAMP), qPCR analysis and LAMP analysis of eDNA samples collected over time from ponds containing 3 or 33 Grass Carp (C

This vector geospatial dataset contains bounding polygons that visualize the domain of archived groundwater flow models published by the Upper Midwest Water Science Center and attributes pertaining to the associated publication (citation, year of publication, authors, report ID, publication URL), model construction details, and a URL for publicly available model archives when available or a direct

This model archive contains 20 Precipitation-Runoff Modeling System (PRMS) models for 20 catchments within the Lake Michigan watershed (Mei and others, 2022). PRMS is a process-based distributed deterministic watershed model designed for the simulation of hydrologic processes including evaporation, transpiration, runoff, infiltration, interflow, and groundwater flow (Markstrom and others, 2015). T

This dataset includes the behavioral fish data needed to assess the responses of Upper Mississippi River fishes to an acoustic stimulus (i.e., playback of a 100 hp boat motor). Native ostariophysians (bigmouth buffalo Ictiobus cyprinellus, channel catfish Ictalurus punctatus, and fathead minnow Pimephales promelas), invasive ostariophysians (bighead carp Hypophthalmichthys nobilis, common carp Cyp

In this data release, we provide the data used to compute total annual phosphorus loads from tributaries and direct drainages to the Great Lakes during 2012-18 using the model load ratio approach and the unit area load approach and the resulting annual loads for 2012–18. This data release consists of: (1) measured loads at 24 sites, computed using the surrogate regression approach (Robertson et al

Fish richness and physical characteristics of side channels in the Upper Mississippi River and Illinois River.

This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make p

This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to publicly accessible monitoring data on the spread of white-nose syndrome in North America. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of whit