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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
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Dataset Title
Evaporation modelling gridded data and meteorological station data for a case study at a rolling prairie landscape at St. Denis National Wildlife Area, Saskatchewan, Canada
Additional Information
https://doi.org/10.20383/101.0192
Abstract
This data set contains gridded outputs and surface data collected for a case study conducted on August 5, 2007 at St. Denis National Wildlife Area in central Saskatchewan, Canada. The data is provided in reference to the paper published in Hydrol. Earth Syst. Sci., 23, 4891–4907, 2019, ‘Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data’ at https://doi.org/10.5194/hess-23-4891-2019
Citations
Armstrong, R., Pomeroy, J., Martz, L. (2019). Evaporation modelling gridded data and meteorological station data for a case study at a rolling prairie landscape at St. Denis National Wildlife Area, Saskatchewan, Canada [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/101.0192
Temporal Extent
Begin Date
End Date
2007-08-05
2007-08-05
Research Site Description (if needed)
St. Denis National Wildlife Area ( http://www4.nrcan.gc.ca/search-place-names/unique/1daeaf61bbe211d892e2080020a0f4c9 )
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
1
Dataset Creation Date
2019-11-28
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2019-11-28
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: See Armstrong et al. (2019): Armstrong, R., Pomeroy, J., Martz, L. (2019). Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data. Hydrol. Earth Syst. Sci., 23, 4891-4907, 2019. 2. Methods for processing the data: Gridded data generation and analysis was done with geospatial and computational methods using ArcGIS software. 'R' statistical and programming language was used to perform additional statistical analysis.
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/10.20383/101.0192
Total Size of all Dataset Files (GB)
0.003
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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