IDAS Home Directory
On this page:
When a user is granted an IDAS account, they will automatically be granted an IDAS home directory.
Data on the IDAS home directories are not backed up.
Please routinely back up your research data to an appropriate storage service, separate from IDAS.
A list of research data storage options can be found in https://its.uiowa.edu/services/research-data-storage-options. Some of them might not offer backups. Please check each storage service for their backup policy.
Check your IDAS home directory usage
Each IDAS research user gets up to 100 GB for storage in their home directory.
Each IDAS classroom user gets up to 100 GB in their home directory. The course instructor specifies the storage capacity when they request IDAS for their class at the beginning of the semester: Requesting An IDAS Account
To check how much of your IDAS home directory capacity you have used:
Log in to IDAS from https://notebooks.hpc.uiowa.edu/
Start a Terminal session - Pick one of the options below:
a) Option 1: If you are using JupyterLab, click the Terminal tile under Other in your JupyterLab page:
b) Option 2: If you are using Jupyter Notebook, click New in the upper right section of the Jupyter Hub page, then click Terminal:
c) Option 3: If you are using RStudio, click on the Terminal tab, which is next to the "Console" tab in RStudio:
In Terminal, type
df -h $HOME. In the example below, 26GB out of 100GB has been used and 75GB is available:
hawkid@jupyter-notebook-research-hawkid:~$ df -h $HOME
Filesystem Size Used Avail Use% Mounted on
/dev/rbd64 100G 26G 75G 26% /home/hawkidWhen your home directory is full
Method 1: Using the Terminal
If your home directory is full, you can use commands in the Terminal to list and remove any files.
Please note: this will permanently delete the file or folder. Please back up your data as needed before you delete them from IDAS.
Use the steps here to download data from IDAS before deleting them - Downloading Data from IDAS to Your Computer
# 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
Method 2: Using JupyterLab
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:
Please note: this will permanently delete the file or folder. Please back up your data as needed before you delete them from IDAS.
Use the steps here to download data from IDAS before deleting them - Downloading Data from IDAS to Your Computer
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.
Please note: this will permanently delete the file or folder. Please back up your data as needed before you delete them from IDAS.
Use the steps here to download data from IDAS before deleting them - Downloading Data from IDAS to Your Computer
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.
Contact
If you have any questions or comments, please contact ITS - Research Services: https://research.its.uiowa.edu/contact-us.