netcdf_in_r_from_beginner_to_pro
https://github.com/nordatanet/netcdf_in_r_from_beginner_to_pro
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: NorDataNet
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 15 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
NetCDF in R: From beginner to pro
Want to learn how to work with NetCDF files? Know a bit of R? You have come to the right place!
This course has been designed to help you understand NetCDF files, get data out of them and create your own NetCDF files. The course is suitable for beginners who know nothing about NetCDF files and those who are new to R. However, more experienced users should also be able to learn a lot from this course.
You may be here because you are interested in publishing FAIR data. Did you know that a NetCDF file is not necessarily FAIR unless it adheres to certain conventions? You will learn about the Climate and Forecast (CF) conventions (https://cfconventions.org/) and the Attribute Convention for Data Discovery (ACDD - https://wiki.esipfed.org/AttributeConventionforDataDiscovery_1-3), and how to make sure your files are compliant with them.
You can view the Jupyter book at https://nordatanet.github.io/NetCDFinRfrombeginnertopro
How to cite this course
If you think this course contributed to the work you are doing, consider citing it in your list of references. Here is a recommended citation:
Marsden, L. (2024, May 31). NetCDF in R - from beginner to pro. Zenodo. https://doi.org/10.5281/zenodo.11400754
And you can navigate to the publication and export the citation in different styles and formats by clicking the icon below.
Owner
- Name: Norwegian Scientific Data Network
- Login: NorDataNet
- Kind: organization
- Email: nordatanet@met.no
- Website: https://www.nordatanet.no/
- Repositories: 2
- Profile: https://github.com/NorDataNet
Common software repository for the Norwegian Scientific Data Network infrastructure.
Citation (CITATION.cff)
abstract: '<p>Want to learn how to work with NetCDF files? Know a bit of R? You have come to the right place!</p> <p>This course has been designed to help you understand NetCDF files, get data out of them and create your own NetCDF files. The course is suitable for beginners who know nothing about NetCDF files and those who are new to R. However, more experienced users should also be able to learn a lot from this course.</p> <p>You may be here because you are interested in publishing FAIR data. Did you know that a NetCDF file is not necessarily FAIR unless it adheres to certain conventions? You will learn about the Climate and Forecast (CF) conventions (https://cfconventions.org/) and the Attribute Convention for Data Discovery (ACDD - https://wiki.esipfed.org/Attribute_Convention_for_Data_Discovery_1-3), and how to make sure your files are compliant with them.</p> <p>You can view the Jupyter book at https://nordatanet.github.io/NetCDF_in_R_from_beginner_to_pro</p>' authors: - affiliation: Norwegian Meteorological Institute family-names: Marsden given-names: Luke orcid: 0000-0002-9746-544X cff-version: 1.2.0 date-released: '2024-05-31' doi: 10.5281/zenodo.11400754 license: - cc-by-4.0 title: NetCDF in R - from beginner to pro version: v1.0.0