This repository 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.
| Event | Location | Dates |
|---|---|---|
| 1st workshop | Liège 🇧🇪 | 3-6 April 2018 |
| 2nd SeaDataCloud training course | Ostend 🇧🇪 | 19-26 June 2019 |
| 2nd workshop | Bologna 🇮🇹 | 27-30 January 2020 |
Jupyter has to be installed in order to have a notebook interface.
It can be installed and launched (in Julia) with the following commands
using Pkg
Pkg.add("IJulia")
using IJulia
notebook()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 repository aims to store 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
