This page provides a set of Jupyter notebooks (examples and exercises) for the DIVAnd user workshops and training sessions organised in the frame of H2020 SeaDataCloud project. The notebooks are also used in the FAIR-EASE project.

Diva and DIVAnd are software tools designed to generate gridded fields from in-situ observations.

Notebooks can be previewed with the service nbviewer.

• The 1st workshop (Liège, 3-6 April 2018) was focused on the creation of gridded products and climatologies using DIVAnd.

• Within the 2nd SeaDataCloud training course (Ostend, 19-26 June 2019), the objective was to introduce participants to the Julia language, the Jupyter notebooks and the Virtual Research Environment deployed in the frame of the project.

• The 2nd workshop (Bologna, 27-30 January 2020) was attended by beginners, intermediate and advanced users, and the goal was to help them create new products with DIVAnd.

Jupyter has to be installed in order to have a notebook interface.

It is also recommended to install the following modules which allow, for example, to have the sections automatically numbered:

• https://github.com/ipython-contrib/jupyter_contrib_nbextensions
• https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator

This project stores the notebooks and the instructions to produce the EMODnet Chemistry products (climatologies).

Most notebooks need more resources that what is can currently available on Binder. The introduction notebooks (introduction to OI and variationa analysis) however work .