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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-NGS: Next Generation Solutions for Healthy Water Resources
Related Research Project(s)
Related ProjectPart
GWF-NGS: Next Generation Solutions for Healthy Water Resources
Dataset Title
Characterization of high mountain glacier microbiota following inundation with wildfire soot
Additional Information
Record in GeoNetwork: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/64cc32d5-801d-458f-890d-2d217d685344
Creators and Contributors
NameRoleEmailInstitution
Milena Esser
Author
University of Saskatchewan
Phillip Ankley
Author
University of Saskatchewan
Caroline Aubry-Wake
Author
University of Saskatchewan
Yuwei Xie
Author
University of Saskatchewan
Helen Baulch
Author
University of Saskatchewan
Cameron Hoggarth
Author
University of Saskatchewan
Markus Hecker
Author
University of Saskatchewan
Henner Hollert
Author
Goethe University Frankfurt
John Giesy
Author
University of Saskatchewan
John Pomeroy
Author
University of Saskatchewan
Markus Brinkmann
Author; Point of Contact
markus.brinkmann@usask.ca
University of Saskatchewan
Abstract
Glacier ecosystems are shrinking at an accelerating rate due to changes in climate, but also due to increased deposition of soot, which has resulted in darkening of glacier surfaces and subsequent changes in absorption of light, associated heat, and altered microbial communities. In this study, compositions of microbial communities on surfaces of the Athabasca Glacier (Alberta, Canada) were measured by use of DNA metabarcoding. Three matrices, glacier ice, cryoconite hole, and glacial surface sediment, were analyzed. The samples were extracted for DNA and were PCR amplified targeting the hypervariable V3-V4 region of the 16S ribosomal RNA subunit I gene of prokaryotes, as well as the hypervariable V3 region of the 18S ribosomal RNA gene of eukaryotic organisms. Amplicons were sequenced performing a 600-cycle paired-end sequencing run on an Illumina® MiSeq sequencer. This dataset includes the demultiplexed sequencing output, the feature table with taxonomic annotation, and the sample metadata.
Keywords
Keyword
Athabasca Glacier
ecosystem
microbiome
soot
deposition
PAHs
Citations
Esser, M., Ankley, P., Aubry-Wake, C., Xie, Y., Baulch, H., Hoggarth, C., Hecker, M., Hollert, H., Giesy, J., Pomeroy, J., Brinkmann, M. (2022). Characterization of high mountain glacier microbiota following inundation with wildfire soot [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/102.0528
Temporal Extent
Begin Date
End Date
2018-07-23
2018-07-23
Is Boundary Rectangular
○ Yes
◉ No
Research Site Description (if needed)
Athabasca Glacier ( http://www4.nrcan.gc.ca/search-place-names/unique/0cff80eb849c20c3a2340e56a2447f1d )
Basin
07
Subbasin
07AA
Specific Locations (if needed)
Description of Specific LocationLatitudeLongitude
Athabasca Glacier
52.19182
-117.25165
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
1
Dataset Creation Date
2022-01-01
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2022-01-01
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
Embargo ends 2022-01-01. Data can be downloaded from: https://doi.org/10.20383/102.0528
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)
Other Data Formats (if applicable)
.fastq
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T-2021-12-02-S1tgBjfZhxUOS3Qd2oIGn52w Dataset 1.2