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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-DMHMU: Diagnosing and Mitigating Hydrologic Model Uncertainty in High-Latitude Canadian Watersheds
Related Research Project(s)
Related ProjectPart
GWF-DMHMU: Diagnosing and Mitigating Hydrologic Model Uncertainty in High-Latitude Canadian Watersheds
Dataset Title
Dataset of 18O and 2H in streamflow across Canada: A national resource for tracing water sources, water balance and predictive modelling
Creators and Contributors
NameRoleEmailInstitution
J Gibson
Tricia Stadnyk
PI
tricia.stadnyk@umanitoba.ca
University of Manitoba
T Holmes
S Birks
A Pietroniro
University of Calgary
Abstract
Oxygen-18 and deuterium were measured in streamflow samples collected from 331 gauging stations across Canada during 2013 to 2019. This dataset includes 9206 isotopic analyses made on 4603 individual water samples, and an additional 1259 analysis repeats for quality assurance/quality control. We also include arithmetic and flow-weighted averages, and other basic statistics for stations where adequate data were available. Station data are provided including station code, name, province, latitude, longitude and drainage area. Flow data were extracted from the historical database of the Water Survey of Canada. Details on the preliminary application of these data are provided in “18O and 2H in streamflow across Canada” [1]. Overall, these data are expected to be useful when combined with precipitation datasets and analytical or numerical models for water resource management and planning, including tracing streamflow source, water balance, evapotranspiration partitioning, residence time analysis, and early detection of climate and land use changes in Canada.
Purpose
This is the first Canada-wide baseline stable isotope dataset for rivers.

This dataset enables identification of water sources and distributions in streamflow and can help to resolve spatial and/or temporal variations in potential water sources including precipitaiton (snow, rain, mixed), groundwater, lakes and wetlands.

This dataset facilitates the estimation of water balance of catchment areas using the spatiotemporal distributions in precipitation as well as evaporation-transpiration partitioning, catchment residence times, and assessment of water-carbon cycle linkages, and nutrients.

Isotope data provide process evaluation targets and diagnostic tools for refining water-cycle modeling capabilities at the local, regional and continental scales. Improvements in model prediction can potentially advance representation of hydrological processes and pathways, forecasting of water availability including floods and droughts, and as an early warning of hydrologic changes occurring due to land use impacts and climate change.
Keywords
Keyword
Stable isotopes
Oxygen-18
Deuterium
Isotope mass balance
Streamflow
Watershed
Canada
Citations
Gibson, J. J., Eby, P., Stadnyk, T. A., Holmes, T., Birks, S. J., & Pietroniro, A. (2021). Dataset of 18O and 2H in streamflow across Canada: A national resource for tracing water sources, water balance and predictive modelling. Data in Brief, 34, 106723. https://doi.org/10.1016/j.dib.2021.106723
Temporal Extent
Begin Date
End Date
2013
2019
Is Boundary Rectangular
○ Yes
◉ No
Research Site Description (if needed)
Figure presents map of Canada showing the Water Survey of Canada river isotope monitoring network, 2013-2019, where size of station symbols is proportionate to the number of samples analyzed.
Research Site Location
Map Not Available
Display
View on Global Map
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
○ Irregular
◉ None planned
○ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
▣ Field collected samples
◻ Field experiment
◻ Field observation
◻ Field survey
◻ Human biological samples
◻ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Download Links and Instructions
Journal DOI
https://doi.org/10.1016/j.dib.2021.106723

PDF
https://www.sciencedirect.com/science/article/pii/S2352340921000093/pdfft?md5=b08fe40c22dcc6404dabbe3a500b3eb8&pid=1-s2.0-S2352340921000093-main.pdf

Excel spreadsheet
https://ars.els-cdn.com/content/image/1-s2.0-S2352340921000093-mmc1.xlsx
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
◻ CSV files (.csv - comma or tab separated value files)
▣ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
◻ Text files (.txt)
◻ Word document files (.docx, .doc)
◻ Other (Please specify in field below)
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T-2022-03-02-m13oavFvhOke0VU3BtE3C4A Dataset 1.2