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Reconnaissance of chemicals of potential biological concern in tributaries of the Great Lakes using passive samplers in 2010 and 2014

Dates

Publication Date
Start Date
2010-09-15
End Date
2014-10-07

Citation

Alvarez, D.A., 2021, Reconnaissance of chemicals of potential biological concern in tributaries of the Great Lakes using passive samplers in 2010 and 2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9F5FFZX.

Summary

This data set is a compilation of data from two sampling efforts (2010 and 2014), focused on determining the presence and distribution of organic contaminants throughout the United States portion of the Great Lakes watershed. Water-borne contaminants were monitored in 69 tributaries of the Great Lakes using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS). Analyses included 185 chemicals (143 detected) including polycyclic aromatic hydrocarbons (PAHs), legacy and current-use pesticides, polychlorinated biphenyls (PCBs), polybrominated diphenyl ether (PBDE) and organophosphate fire retardants, pharmaceuticals, fragrances, industrial chemicals, surfactants, and others.

Contacts

Point of Contact :
David Alvarez
Originator :
David Alvarez
Metadata Contact :
CERC Data Managers
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Columbia Environmental Research Center
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

Chemicals_in_tributaries_of_the_Great_Lakes.xml
Original FGDC Metadata

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26.14 KB application/fgdc+xml
Great_Lake_tributary_sites.txt 10.48 KB text/plain
Great_Lake_tributary_water_sample_contaminant_concentrations.txt 963.63 KB text/plain

Purpose

Data was collected to track presence of contaminants with potential biological concern in tributaries of the Great Lakes.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9F5FFZX

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