On this page you will find information on shared folders.

By default, every user sees three special folders in his home directory:

• ~/materials
• ~/datasets
• ~/shared

These folders are additional volume mounts that present the same content to all users.

They are read-only, except for ~/shared, which can be used as a cluster-wide scratch space to exchange files between users.

materials

This folder contains a selection of Jupyter notebooks that explore the capabilities of JupyterLab. They are well suited as a starting point for new courses or lectures.

The example materials are managed in a dedicated Git repository. Put requests to add new materials are welcome:

https://git-ce.rwth-aachen.de/jupyter/example-materials

datasets

This folder contains a collection of well-known machine learning datasets. Due to their size, these datasets are shared across all users.

If you would like to add your examples or datasets, please feel free to contact us.

shared

This folder serves as a global scratch space for exchanging files between all users of the cluster. All users can read, write, modify, and delete files in this folder. There are no backups of this folder—do not use it as the only storage location for important files.

Group Shares / Sciebo Integration

We are working on a solution to enable shares to smaller user groups, as well as on integrating external Sciebo shares. If you are interested in these features, please contact us.