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Data

The U.S. Geological Survey (USGS) currently operates and maintains data collection sites in the Central Midwest Water Science Center (Illinois, Iowa, and Missouri) for acquiring information about surface water, ground water, water quality, and precipitation to provide necessary information for our cooperators in this Center.

 

Filter Total Items: 118

Use of High-Resolution Topo-Bathymetry to Assess Shoreline Topography and Future Development of a Slackwater Harbor near Dardanelle, Arkansas, October 2021

The U.S. Army Corps of Engineers - Little Rock District (SWL) Civil Works program has a mission to maintain cohesion between physical and naturally developed environments. Evaluation of shoreline stability and adjacent development of a harbor along the McClellan-Kerr Arkansas River Navigation System at River Mile 202.6 is essential in establishing a baseline for potential impacts and future monit

MODFLOW-NWT model used to simulate groundwater levels in the Des Moines River alluvial aquifer near Des Moines, Iowa

The U.S. Geological Survey constructed a steady-state numerical groundwater flow model in cooperation with Des Moines Water Works (DMWW) to simulate groundwater flow conditions in the Des Moines River alluvial aquifer (DMRA) during winter low-flow conditions typical of December 2018-2020. The Des Moines River alluvial aquifer (DMRA) is an important source of water for Des Moines Water Works (DMWW)

Modeled nutrient and sediment concentrations from the Des Plaines River at Route 53 at Joliet, Illinois, based on continuous monitoring from October 1, 2017, through September 30, 2020

During the 2018-20 water years, the U.S. Geological Survey, in cooperation with the Metropolitan Water Reclamation District of Greater Chicago, operated a continuous monitoring station on the Des Plaines River at Route 53 at Joliet, Illinois (USGS station 05537980), to better quantify nutrient and sediment loadings from the Greater Chicago Area to the Illinois River. This data release presents est

Mean squared logarithmic error in daily mean streamflow predictions at GAGES-II reference streamgages

This data release contains daily mean squared logarithmic error (MSLE), as well as several decompositions of the MSLE, for three streamflow models: nearest-neighbor drainage area ratio (NNDAR), a simple statistical model that re-scales streamflow data from the nearest streamgage; the version 3.0 calibration of the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Mod

Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017

In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major goals of the NAWQA project was to determine how river water quality has changed over time. To support that goal, long-term consistent and comparable monitoring has been conducted by the USGS on streams and r

Supporting data for analysis of general water-quality conditions, long-term trends, and network analysis at selected sites within the Missouri Ambient Water-Quality Monitoring Network, water years 1993–2017

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable

Annual peak-flow data and results of flood-frequency analyses for 76 selected streamflow gaging stations operated by the U.S. Geological Survey in the upper White River Basin, Missouri and Arkansas, computed using an updated generalized flood skew

This dataset contains site information, basin characteristics, results of flood-frequency analysis, and a generalized (regional) flood skew for 76 selected streamgages operated by the U.S. Geological Survey (USGS) in the upper White River basin (4-digit hydrologic unit 1101) in southern Missouri and northern Arkansas. The Little Rock District U.S. Army Corps of Engineers (USACE) needed updated es

WRTDS-K nutrient and sediment loads at Illinois EPA Ambient Water Quality Monitoring Network sites, from WY 1978 through 2020

This data release contains estimates of annual nitrate, suspended sediment, phosphorus, and chloride loads and uncertainty from sites in the Illinois Environmental Protection Agency (Illinois EPA) Ambient Water Quality Monitoring Network. The loads were estimated using Weighted Regressions on Time, Discharge, and Season with Kalman filtering (WRTDS-K) and existing discrete water-quality data and d

Geophysical Data Collected in the Des Moines River, Beaver Creek, and the Des Moines River Floodplain, Des Moines, Iowa, 2018

A suite of geophysical methods was used along the Des Moines River, Beaver Creek, and in the Des Moines River floodplain in Des Moines, Iowa to support the hydrogeologic characterization of the alluvial aquifer associated with the river. The aquifer consists of sands and gravels underlain by weathered shale bedrock. Groundwater from the aquifer along with surface water sources are used for municip

Continuous Monitoring and Synoptic Mapping of Nearshore Water Quality, Currents, and Bathymetry in Lake Michigan at 63rd Street Beach at Hyde Park, Illinois

These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan. This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activi

Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2016

This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2016. The primary data for each year is downloaded from the Argonne National Laboratory (ANL) (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Daily

Hydrologic and Water Quality Data from the Cedar River and Cedar River Alluvial Aquifer, Linn County, Iowa, 1990-2019

Surface and groundwater samples were collected, processed, and analyzed for pesticides, nutrients, organic carbon, and inorganics as part of a cooperative study with the City of Cedar Rapids, Iowa. Filtered and whole water samples were sent to the National Water Quality Laboratory in Denver, Colorado. U.S. Geological Survey staff collected field properties and discharge measurements in-situ. Discr