If you want to backup your research data or simply archive your published research data, you can do so by transferring your data to our group’s UBfs storage space.

UBfs is a data storage service provided by the University at Buffalo. Our group currently has 5 TB storage space in UBfs. In this page, you will find instructions to access this storage space and transfer files between UBfs and any designated machine (remote server or your local machine).

Access the UBfs storage space

Windows

  1. In Windows machine, open “This PC”, right-click to “add a network location”. Then type the following address:

    \\\\afs.acsu.buffalo.edu\\sens_research_cbe\\kaihangs

  2. Then, you will be required to login using your UBIT name and password. Log in with AD\UBITName (AD\ followed by your UBITName) and your password.

  3. Your UBfs mapped folder should now appear.

MacOS

<aside> ⚠️

The path listed on the above website is obsolete. So please use the latest address to the storage space: smb://afs.acsu.buffalo.edu/sens_research_cbe/kaihangs

</aside>

GPU workstation/Linux

Transfer files from CCR to UBfs Space

As of November 23, 2025, there are several ways of transferring/backing up files from your local machine or CCR to UBfs storage space:

Method 1: Using scp command

  1. Login to your CCR project space where the file or folder to be transferred locates.

  2. Use the scp command to transfer files to UBfs space via GPU workstation, as the UBfs storage space is mounted in our GPU workstation. For example, if you want to copy my_file.zip from CCR to your backup folder (backup_folder) in the UBfs space, simply typing the following command when you are under the CCR directory where my_file.zip locates:

    scp my_file.zip [user_name][@qilin.eng.buffalo.edu](<mailto:[email protected]>):/afs/cbe/kaihangs/backup_folder/ 
    

    Replace [user_name] with your user ID that you used to login to GPU workstation. Please also change my_file.zip and backup_folder as necessary.

    After hitting “Enter”, you may see

    This key is not known by any other names Are you sure you want to continue connecting (yes/no/[fingerprint])?

    Simply tying “yes” on your keyboard and then your password to login to GPU workstation, the download will then begin shortly.

  3. Wait until the transfer completes. Do not turn off your laptop or disconnect internet during this process!

Alternatively, you could also: