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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
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Dataset Title
Aggregated gridded bedrock depth dataset for Mackenzie and Nelson-Churchill River Basin based on bedrock data by Shangguan et al. (2017)
Additional Information
https://doi.org/10.20383/101.0152
Abstract
The bedrock dataset created by Shangguan et al. (2017) is aggregated to a lower resolution (larger pixels) of 0.125 degree for Mackenzie and Nelson-Churchill River Basins for its applicability with Hydrology and Land Surface Models. This dataset is in particular generated for using with MESH (Modélisation Environnementale communautaire - Surface Hydrology), a distributed coupled hydrology-land surface model developed by Environment and Climate Change Canada, as applied to Mackenzie and Nelson-Churchill River Basins. The statistics calculated for each final larger pixel (0.125 degrees) include mean, median, maximum, minimum, and standard deviation of the original higher resolution pixels within it. Also, in order to provide an idea of the reliability of this transformation, a corresponding 0.125 degrees raster dataset is created containing the number of missing values (NA) from the Shangguan et al. (2017) dataset within each larger 0.125 degree pixels.
Citations
Keshav, K., Haghnegahdar, A., Elshamy, M., Gharari, S., Razavi, S. (2019). Aggregated gridded bedrock depth dataset for Mackenzie and Nelson-Churchill River Basin based on bedrock data by Shangguan et al. (2017) [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/101.0152
Geographic Bounding Box
West Boundary Longitude
multiple, see map
East Boundary Longitude
North Boundary Latitude
South Boundary Latitude
Is Boundary Rectangular
◉ Yes
○ No
Research Site Description (if needed)
Mackenzie River and Nelson-Churchill River Basins
Basin
Mackenzie River and Nelson-Churchill River
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
1
Dataset Creation Date
2019-04-30
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2019-04-30
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)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
1. Description of methods used for collection/generation of data: The 250 m resolution absolute bedrock data published by Shangguan et al. (2017) has been used as the source dataset to convert into 0.125 degree resolution rasters. Shangguan, W., Hengl, T., de Jesus, J. Mendes, Yuan, H., and Dai, Y. (2017), Mapping the global depth to bedrock for land surface modeling, J. Adv. Model. Earth Syst., 9, 65– 88, doi:10.1002/2016MS000686 2. Methods for processing the data: The bedrock data has been converted to 0.125 degree resolution raster for Mackenzie and Nelson-Churchill River Basin using an R script. The rasters created in the process have mean, median, standard deviation, maximum and minimum of higher resolution pixels (250 m) inside each lower resolution pixel (0.125 degree). Also, the raster MRB_NA and NCRB_NA have the number of higher resolution pixel having no value inside each 0.125 degree pixel signifying the unavailability of source data per pixel. 3. Instrument- or software-specific information needed to interpret the data: The data can be opened as a spreadsheet having three columns: longitude, latitude, pixel value (mean/median/max/min/number of NA/standard deviation). The datasets (after removing the column names) can also be opened in a GIS software (eg. QGIS) to view spatially and converted to .tif or any desired format.
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
Data is available for download from https://doi.org/10.20383/101.0152
Total Size of all Dataset Files (GB)
0.009
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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