Welcome to the NSF Unidata Science Gateway JupyterHub Request Form. Requesting a JupyterHub may take between 15 and 20 minutes, and you will be asked to provide some technical and non-technical information. If you are unsure about your responses to some fields, note that we provide suggestions for what is standard and sufficient for most applications.
For your convenience, follow
this link for a prefilled form requesting a standard JupyterHub with the following specs (you will still have to step through the pages of this form to fill out other required fields):
- 20 concurrent users
- 1 CPU per user
- 4 GB of memory (RAM)
- 10 GB of persistent storage per user
- A python environment defined by this environment.yaml
You are welcome to modify the prefilled form as necessary.
If, while filling out this form you require assistance or desire to discuss your requirements further, please populate the form with the "Suggested standards." There will be an input field at the end of this form for you to ask for "Assistance and Further Discussion". We will contact you with a follow-up email.
We look forward to working with you!
-- Unidata Science Gateway Staff
Caveats:
- Users are authenticated to their server via GitHub OAuth, as such all users will need a free GitHub account
- Resources on Jetstream2 are limited. While we try to accommodate every request, we may have to make modifications to your requirements to ensure everybody gets a piece of the pie
- Cluster lifetimes are limited to 1 semester. If you require additional time, contact us once your initial request term is close to expiration by sending an email to support-gateway@unidata.ucar.edu
Acknowledgements:
NSF Unidata is able to provide this offering by making use of resources on the
Jetstream2 Cloud (
doi:10.1145/3437359.3465565), hosted by Indiana University and managed by the
ACCESS program. The Unidata Science Gateway team is grateful for the support provided to us by members of their staff.
To Acknowledge This JupyterHub and the Unidata Science Gateway
If you ultimately benefit from the Unidata Science Gateway and these JupyterHub resources, please cite this DOI doi:10.5065/688s-2w73 in your scholarly publications.
