Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Chemicals of Emerging Concern in Water and Bottom Sediment in the Great Lakes Basin, 2014 - Field and Laboratory Quality Assurance

Metadata Updated: October 28, 2023

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and St. Cloud State University (SCSU), identified the occurrence of chemicals of emerging concern (CECs) in water and bottom sediment collected in 2014 at 65 sites throughout the Great Lakes Basin. The 2014 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2014, and associated quality-assurance data. Samples were collected during the periods of April to May and August to September by USGS, USFWS, and (or) SCSU personnel. Study sites include tributaries to the Great Lakes located near Green Bay, Wisconsin; Chicago, Illinois; Detroit, Michigan; Grand Rapids, Michigan; Cleveland, Ohio; and Wanakena, New York. During this study, 204 environmental samples and 6 field replicate sample pairs of surface water, 6 field blank-water samples, and 4 laboratory-matrix spike water samples were collected or prepared. Additionally, 21 environmental samples, 3 field replicate sample pairs, and 2 laboratory-matrix spike samples of bottom sediments were collected or prepared. At 22 select water-quality sites, polar organic chemical integrative samplers (POCIS) were deployed in water and analyzed for a similar suite of CECs as were measured in water and bottom-sediment samples. A total of 22 environmental samples, 4 field-blank samples (exposed to ambient air), and 4 field replicate sample pairs were collected or prepared. Water and bottom-sediment samples were prepared and analyzed at the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado. All POCIS samples were extracted at the Environmental Sampling Technologies Laboratory in St. Joseph, Missouri. Extracts were sent to NWQL where final preparation steps and analyses were completed. The Field and Laboratory Quality Assurance provides eight tables that support the analytical results for wastewater compounds, steroid hormones, sterols, and bisphenol A, and pharmaceuticals in water, sediment, and POCIS samples collected during 2014.

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.

Downloads & Resources


Metadata Created Date May 31, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date October 28, 2023
Publisher U.S. Geological Survey
Identifier USGS:547dfe57e4b09357f05f6c14
Data Last Modified 20200827
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 85f1696f-2ac2-4795-a975-67dd1fd13147
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -93.2231979370117,40.4067077636719,-73.6395492553711,48.3042488098145
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash a2f3afa230df7c3f95ae1f11cc70fc6161c22005fddf288b2a7cb03e7c2c2f5a
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -93.2231979370117, 40.4067077636719, -93.2231979370117, 48.3042488098145, -73.6395492553711, 48.3042488098145, -73.6395492553711, 40.4067077636719, -93.2231979370117, 40.4067077636719}

Didn't find what you're looking for? Suggest a dataset here.