In this page:
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https://notebooks.hpc.uiowa.edu/research-interactive/user/<your_hawkid>/tree |
Downloading Data from IDAS to Your Computer
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2. For IDAS research users:
- If you have an Argon account or Large Scale Storage (LSS) shares, you can mount them when you spawn an IDAS research instance. This option allows you to access data in your Argon home or LSS shares while you work in IDAS. You can also move files from your IDAS home drive to your Argon home or LSS shares.
- For more information about how to mount Argon home and LSS shares in IDAS, please see step 6 in Accessing IDAS for Research Use.
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2. Start a Terminal session:
- Option 1: If you are using JupyterLab, click the "Terminal" tile under "Other" in your Jupyter Lab page:
- Option 2: If you are using Jupyter Notebook, click "New" in the upper right section of the Jupyter Hub tree page, then choose "Terminal:
- Option 3: If you are using RStudio, click on the "Terminal" tab, which is next to the "Console" tab in RStudio:
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4. After the commands finish running in Terminal, a file called "backup.zip" will be available in your current directory.
- If you are using Jupyter NotebookJupyterLab, you can find the "backup.zip" file in your in the left-side panel of JupyterLab. Note: the location of "backup.zip" in your IDAS home drive will depend on how you use the "zip" command in step 3 above. The below is only an example screenshot:
- If you are using Jupyter Notebook, you can find the "backup.zip" file in your Jupyter Hub tree page, like in this partial example screenshot:
- If you are using RStudio, you can find the "backup.zip" file in the "Files" tab in RStudio, like in this partial example screenshot:
5. Download the "backup.zip" file to your computer:
- In JupyterLab, right-click on the "backup.zip" file and click "Download":
- In Jupyter Notebook, check the box in front of the "backup.zip" file and click "Download":
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Go to the Jupyter Hub tree page (please fill in your HawkID):
https://notebooks.hpc.uiowa.edu/research-interactive/user/<your_hawkid>/tree
In the top right corner of your IDAS tree page, click New >> Terminal
- In Terminal, type
df -h $HOME. In the example below, 26GB out of 100GB has been used and 75GB is available:
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Go to the Jupyter Hub tree page (please fill in your HawkID):
https://notebooks.hpc.uiowa.edu/research-interactive/user/<your_hawkid>/tree
- Check the box in front of the files you want to delete, and click Delete (the red trash can icon). This will permanently delete that file:
- Use Terminal to list and remove files:
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