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Data · dataset · 2023

Characteristics of Natural Organic Matter in Forested Canadian Water Sources by LC-OCD

Listed in Borealis

This dataset consists of a subset of liquid chromatography-organic carbon detector (LC-OCD) and pH data collected as part of a forWater NSERC Strategic Network project.

Description

LC-OCD is a size exclusion chromatography/dissolved organic carbon detection technique employed for characterizing the fractional composition of carbon in water samples. Natural water samples were collected from streams in six different forested watersheds across Canada from April 2019 to September 2022 by collaborating researchers.

Sample analysis was conducted by the WaterSTP Group in the Department of Civil and Environmental Engineering at the University of Waterloo. Data from select samples collected from July 2019 to June 2021 are included in this dataset.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geochemistry 70%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/UTICPY13 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].dataverse_subject:engineeringsource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:engineeringmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
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