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If your home directory is full, you can use commands in the Terminal to list and remove any files.
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Please note: this will permanently delete the file or folder. Please back up your data as needed before you delete them from IDAS. Follow the steps here to download data from IDAS to your computer before deleting your data. |
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# list all files including hidden files ls -al # get the top largest 10 files and directories in your IDAS home drive: du -shx $HOME/.[^.]* * | sort -rh | head # delete files you no longer need rm file1.txt file2.txt # delete a directory and all of its contents rm -r directory |
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You can also use the JupyterLab interface to remove any files you don't need.
Right-click on a file or folder that you want to delete. Then click Delete. A dialogue will ask you to confirm that you want to permanently delete that file or folder:
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Please note: this will permanently delete the file or folder. Please back up your data as needed before you delete them from IDAS. Follow the steps here to download data from IDAS to your computer before deleting your data. |
Method 3: Using RStudio
In the Files panel in RStudio, check the boxes in front of the files or folders that you want to delete, then click Delete. You will be asked to confirm that you want to permanently delete the selected files.
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Please note: this will permanently delete the file or folder. Please back up your data as needed before you delete them from IDAS. Follow the steps here to download data from IDAS to your computer before deleting your data. |
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Info |
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For RStudio users: occasionally, when an R session crashes, RStudio generates core dumps that are named "core.xxx". These core dumps are logs of the crashed sessions. They can be quite large and fill up your home directory. If those core dumps were generated more than several days ago and you are not working with our support team to troubleshoot an issue related to the core dumps, you can delete them. |
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