How To’s for data storage are building blocks for setting up and using S3 bucket object storage (cloud-centric data storage architecture
that manages data as individual, self-contained units called “objects” within a flat, non-hierarchical structure) on CryoCloud. Our hub
provides access to two S3 storage buckets on AWS: a scratch bucket (s3://nasa-cryo-scratch) where data will automatically
be deleted 7 days after it is uploaded, and the regular persistent storage bucket (s3://nasa-cryo-persistent).
We provide these S3 storage options for moving and storing files that are larger than what is easy to move around on our JupyterHub file system.
Instructions for using those are here. However, we cannot support >50 GB of data storage for any user so we have also provided instructions for
setting up your own personal storage bucket when you have more data you want to store than what we provide for free.