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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-PW: Prairie Water
Related Research Project(s)
Related ProjectPart
GWF-PW: Prairie Water
Dataset Title
Aggregate hydraulic conductivity data from site investigations in south-central Saskatchewan, Canada
Additional Information
GeoNetwork record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/a5b71158-589a-4a51-93bc-0987219207bd
Creators and Contributors
NameRoleEmailInstitution
David Ferris
Author, Point of Contact
david.ferris@usask.ca
University of Saskatchewan
Grant Ferguson
Author
University of Saskatchewan
Gregory Potter
Author
SNC-Lavalin
Abstract
Pleistocene-aged glacial till aquitards are important shallow hydrogeological units across much of the Northern Hemisphere. Characterizing the hydrogeological properties of these aquitards at a regional scale is important for land use planning and resource management. Here, 606 hydraulic conductivity data points from 20 sites collected from 26 reports are compiled. The referencing information, spatial location, hydraulic conductivity test type, and any other information associated with the hydraulic conductivity data is included where possible. After filtering the data for reliability and outliers, 393 data points from 15 sites are identified as representative hydraulic conductivity values of glacial till aquitards in Saskatchewan, Canada.
Keywords
Keyword
prairie hydrogeology
hydraulic conductivity
glacial till
scale dependence
hydraulic testing
Citations
Ferris, D. M. , Ferguson, G. A. G. , Potter, G. (2019). Aggregate hydraulic conductivity data from site investigations in south-central Saskatchewan, Canada [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/101.0140 .

Ferris, D. M., Potter, G., Ferguson, G. (2020). Characterization of the hydraulic conductivity of glacial till aquitards. Hydrogeology Journal 28: 1827–1839. https://doi.org/10.1007/s10040-020-02161-7 .
Geographic Bounding Box
West Boundary Longitude
-107
East Boundary Longitude
-102
North Boundary Latitude
53.7
South Boundary Latitude
50.1
Is Boundary Rectangular
◉ Yes
○ No
Dataset Version
1
Dataset Creation Date
2019-03-19
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2019-03-19
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)
Terms of Use
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
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
https://doi.org/10.20383/101.0140
Total Size of all Dataset Files (GB)
0.0003
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-2020-12-03-Y1KGRu79ELUY2XzsY1HAY1t5Y2w Dataset 1.2