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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: 265

Algal toxins and Mycobacterium avium ssp. paratuberculosis measured in surface-water, quarry-water, and sediment samples collected at Pipestone National Monument, Pipestone, Minnesota, 2018-19 Algal toxins and Mycobacterium avium ssp. paratuberculosis measured in surface-water, quarry-water, and sediment samples collected at Pipestone National Monument, Pipestone, Minnesota, 2018-19

The U.S. Geological Survey, in cooperation with the U.S. National Park Service, conducted a study to determine the presence of algal toxins and Mycobacterium avium ssp. paratuberculosis (MAP) within Pipestone National Monument located in Pipestone County in southwestern Minnesota. Three algal toxins (microcystins, saxitoxin, and anatoxin-a) were analyzed in 12 water-quality samples...

EGRET EGRET

An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS).

Chemical characterization of water, sediments, and fish from Water Conservation Areas and Canals of the Florida Everglades (USA), 2012 to 2019 Chemical characterization of water, sediments, and fish from Water Conservation Areas and Canals of the Florida Everglades (USA), 2012 to 2019

This dataset includes field and laboratory measurements of surface waters, pore waters, sediment, and fish from Water Conservation Areas and adjacent canals of the Florida Everglades (USA). Water, sediment, and fish samples were collected from Water Conservation Areas 1 (Arthur R. Marshall Loxahatchee National Wildlife Refuge), 2, and 3 and neighboring canals between 2012 and 2019. The...

MODFLOW-NWT simulations of regional groundwater flow under mining and pre-mining scenarios near the Mesabi Iron Range within the St. Louis River Basin, northeastern Minnesota MODFLOW-NWT simulations of regional groundwater flow under mining and pre-mining scenarios near the Mesabi Iron Range within the St. Louis River Basin, northeastern Minnesota

The U.S. Geological Survey developed two steady-state finite-difference regional groundwater-flow models using the MODFLOW-NWT computer code. These models simulate flow in the area of historical iron mining on and around the portion of the Mesabi Iron Range that is in the St. Louis River basin in northeastern Minnesota. The models are composed of 8 layers each; the upper four...

African fish mercury burden and isotopic composition from archived museum specimens African fish mercury burden and isotopic composition from archived museum specimens

Fish collected for taxonomic and systematic purposes are often preserved and then archived in museum collections. Preserved fish are commonly first fixed in a formalin solution and then transferred to ethanol for long-term storage. The wet preservation method can potentially introduce mercury (Hg) contamination or unintentionally extract Hg from tissue. An experiment was designed to test...

Regression and load estimates for the tributary nutrient and sediment monitoring program on the Great Lakes, 2011-2013 Regression and load estimates for the tributary nutrient and sediment monitoring program on the Great Lakes, 2011-2013

Nutrient and sediment regression information (diagnostics and coefficients) and estimated load data from 30 tributaries to the Great Lakes, beginning of the program (water year 2011) to water year 2013.

Model archive - Regional regression models for estimating flood frequency characteristics of unregulated streams in Wisconsin Model archive - Regional regression models for estimating flood frequency characteristics of unregulated streams in Wisconsin

This model archive contains R source code for the Weighted-Multiple Linear Regression Program (WREG), input files, and associated output files needed to recreate regression models that are discussed in the report: Levin, S.B. and Sanocki, C.A., Methods for estimating flood magnitude and frequency for unregulated streams in Wisconsin, U.S. Geological Survey Scientific Investigations...

GageStats Services GageStats Services

The Gage Statistic (GageStats) Services were developed to provide gage characteristics and streamflow statistics to support the StreamStats application via RESTful principles. The StreamStats application uses GageStats Services to display the gages and related gage pages. These services provide U.S. Geological Survey developed and published gage characteristics such as drainage area or...

Select optical signals from water samples collected on the Menomonee River, Underwood Creek, and Jones Island Water Reclamation Facility from 2017-2019, and time-series optical sensor and one-hour mean streamflow data from the Menomonee River 2017-2018 Select optical signals from water samples collected on the Menomonee River, Underwood Creek, and Jones Island Water Reclamation Facility from 2017-2019, and time-series optical sensor and one-hour mean streamflow data from the Menomonee River 2017-2018

5-day composite river water samples were collected from two sites: Menomonee River (U.S. Geological Survey station number 04087142) and Underwood Creek (U.S. Geological Survey station number 04087088) in Milwaukee, Wisconsin. 5-day composite wastewater (raw sewage) influent samples were also collected from the Jones Island Water Reclamation Facility (U.S. Geological Survey station number

Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, MIlwaukee, WI and adjacent terrestrial and Lake Michigan nearshore coastal areas Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, MIlwaukee, WI and adjacent terrestrial and Lake Michigan nearshore coastal areas

This topobathymetric digital elevation model (TBDEM) mosaic represents the topography and bathymetry for the Milwaukee River Estuary in Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas. The TBDEM was produced in support of modeling and for developing a physical habitat framework to help with understanding the effects from multidirectional currents...

Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks

A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization. For a currently maintained version of these materials, please visit https://github.com/gmdsi/GMDSI_notebooks.

StreamStats Channel Width Weighting Services StreamStats Channel Width Weighting Services

This software release contains Python functions for weighting multiple non-independent estimates of a variable. Weighting is determined by the standard error of prediction of each estimate and the correlation between the estimation methods. The methodology for weighting estimates from either two or three different methods is described in Chase and others (2020). A function is also...
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