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project_abstract
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A collection of climatic big data files provided by Dr Jatin Kala from Murdoch University.
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| Notes to access the data server:
| 1. Avoid using $HOME directory as its limited space for large files and heavy data operations.
| 2. Utilise the “/data” (10TB) and “/data2” (135TB) drives for data storage and operations instead of $HOME.
| 3. Develop codes as git repositories and push them to GitHub or Bitbucket for version control and backup since no backups are maintained on the server.
| 4. Software availability:
| – R version 4.3.3 (2024-02-29) is already installed centrally.
| – For Python, use mamba package and install it under “/data” to prevent filling up $HOME.
| 5. Data locations will be specified under dataset level.
| 6. Central installation includes utilities like ncview, ncdump, etc.
| CAUTIONS: installing R packages may default to $HOME; consider specifying installation paths under “/data” to avoid $HOME out of space.
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