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Based on user and developer experience of the Climate Data Store (CDS) Toolbox, the CDS-Toolbox will be replaced by a JupyterHub service for online computing environment and earthkit for the quality assured software. Jupyterhub sessions will provide very fast access to data available on the various Data Stores and will allow users to perform post-processing and visualisation of this data. The sessions are considered small (see provision details below) and not designed for very large computation. For larger computation task, users should consider other JupyterHub resources, for example WEkEO.

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Environments available to DSS users

CDS and ADS DSS users will be able to spawn sessions with one of the environments summarised in the table below. This can be selected from the "Select an Environment" dropdown selector on the JupyterHub Launcher, and depending on the environment, additional options may be configurable.

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You can install additional packages from the (open-source) conda-forge channel (`conda install PACKAGE-NAME`), or from PyPi (`pip install PACKAGE-NAME`). This packages will be installed in your local storage and will be available next time you create a session.

User storage

The CADS DSS will offer two forms of storage for use in the JupyterHub. Please be aware that both of these options, and the way that they have been configured, are subject to change as the project develops

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This service is provided according the terms and conditions (LINK???). We reserve the right to suspend the service to users if we detect that terms and conditions are infringed. Suspension may be triggered automatically, and may only be reinstated when we have investigated the specific use case.