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Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016

Metadata Updated: October 28, 2023

Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including the Middle Branch of the Clinton River in Macomb County, Michigan (65 sample locations), Red Creek in Monroe County, New York (88 sample locations), and the Kinnickinnic River in Milwaukee County, Wisconsin (60 sample locations). At the watershed- and subwatershed-scale locations, water samples were collected over a 24-hour duration for low-flow periods, and throughout the duration of increased streamflow for runoff-event periods. An individual sample included multiple subsamples that were composited using automatic samplers. At the small-scale locations, discrete grab samples were collected by direct bottle submersion or by peristaltic pump. Water samples were analyzed for absorbance spectra and fluorescence excitation-emission matrices (EEMs), which are presented in this data release. Samples were also analyzed for human-specific viruses, at the watershed- and subwatershed-scale locations only, human- and fecal- indicator bacteria, and dissolved organic carbon (DOC), which are archived in the U.S. Geological Survey National Water Information System (NWIS). These data were used to develop regression models for describing variability of human-associated and fecal indicator bacteria, and an archive of these models is provided. Sample collection, laboratory analyses methods, and a detailed description of the modeling process are described in the associated journal publication: Corsi, S.R., De Cicco, L.A., Hansen, A.M., Lenaker, P.L., Bergamaschi, B.A., Pellerin, B.A., Dila, D.K., Bootsma, M.J., Spencer, S.K., Borchardt, M.A., and McLellan, S.L., 2021, Optical properties of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water at three watershed scales: Environmental Science and Technology, 55, 20, 13770–13782, https://doi.org/10.1021/acs.est.1c02644.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:5d011658e4b0573a18f77d6d
Data Last Modified 20211206
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 0e141f7b-f158-4863-9dcd-ba81d05ff179
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -92.988299999998,40.714,-74.9268,47.7541
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 8b7db6a4ed0c462b089796d3b920e139f198d0bf0d1b3756da6b7bedd415702d
Source Schema Version 1.1
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