Jupyter Notebooks as a learning tool in European Plate Observing System (EPOS) for multidisciplinary research

The European Plate Observing System (EPOS) addresses the problem of homogeneous access to heterogeneous distributed digital assets in geoscience within Europe, following the FAIR principles. EPOS has been a European Research Infrastructure Consortium (ERIC) since 2018, with the goal of building long-term and sustainable infrastructure for solid Earth science. The EPOS Platform was launched into the operational phase in April 2023 and is introducing new ways for cross-disciplinary research, especially for data discovery. Currently, the EPOS Platform, a metadata and semantic-driven system for integrating Data, Software and services, provides access to data and data products from ten different geoscientific areas: Seismology, Near Fault Observatories, GNSS Data and Products, Volcano Observations, Satellite Data, Geomagnetic Observations, Anthropogenic Hazards, Geological Information and Modelling, Multi-scale laboratories and Tsunami Research. 

This presentation details the integration of Jupyter Notebooks into the EPOS platform. EPOS is using SWIRRL API allowing the deployment of Jupyter notebooks to distributed computing facilities. This implementation enables users to perform advanced processing of datasets directly within the Virtual Research Environment (VRE) of the EPOS ecosystem. We showcase multidisciplinary use cases provided by researchers from various domains that demonstrate efficient data processing workflows and visualizations using EPOS services. Furthermore, we position Jupyter Notebooks as dynamic learning tools; they combine methodological descriptions with executable code that users can modify for specific needs. By leveraging parameterized queries to EPOS web services, users can easily customize data retrieval and facilitate reproducibility by sharing workspace snapshots via GitHub. Examples of Jupyter Notebooks aim to help young researchers to understand typical data processing in individual domains, such as earthquakes and seismic hazard, volcanic eruptions, geomagnetic storms, anthropogenic hazards and many more. At the same time, it can assist experienced researchers to foster cross-disciplinary research.