CamCEAD's cloud storage system is built into CAMCEADHUB, CamCEAD's IRIS-hosted cloud analysis platform for CASU. Every CAMCEADHUB account includes its own private, S3-compatible storage bucket — persistent space that stays with you regardless of which server you're running, with built-in sharing so sending a colleague a dataset doesn't mean an email attachment or a USB stick.
All CamCEAD members already have access to this system, as long as they are registered on the CAMCEADHUB platform — no separate request or setup needed. Sign in with your own CAMCEADHUB account, or directly with your University of Cambridge Raven account (CRSid), and go straight to camceadhub.ast.cam.ac.uk/storage.
Accessible three ways
- The Storage page in the dashboard — browse your files in the browser, upload individual files or entire folders, and download or delete them. Uploads can be cancelled part-way through, and multiple files can be selected for bulk deletion.
- From your own computer — using a command-line client (mc, the MinIO client) or a graphical S3 client (CyberDuck, MountainDuck, Transmit, WinSCP), using the access credentials shown on your CAMCEADHUB Profile page. Move a dataset onto the platform before you start work, or pull results back down onto your own machine when you're done.
- From inside a running Jupyter server — command-line access is pre-configured automatically, with no setup needed; every session already has mc and boto3 (Python) ready to use against your own bucket, so a notebook can read and write your storage directly.
Sharing files — collaboration without the email attachments
Files and folders can be shared two ways directly from the Storage page:
- Public link — generates a temporary download link (valid for 1 hour, 1 day or 7 days) that anyone can use, no CAMCEADHUB account required. Ideal for sharing a plot, a results file, or a dataset with an external collaborator or a journal reviewer.
- Direct sharing — grant a specific CAMCEADHUB user, or one of your own project groups, direct access to a file or folder. Shared items appear under that person's own "Shared with me" tab, with no link needed, and access can be revoked at any time. A whole project team can be given access to a shared results folder in one step.
Members of certain projects (e.g. WEAVE, MOONS) also have that project's shared network storage automatically available inside their Jupyter sessions, alongside their own personal storage — so project-wide datasets are already there the moment a session starts.
Full details on registration, signing in, and everything else CAMCEADHUB provides are on the CAMCEADHUB project page.