This page provides the Jupyter notebooks (examples and exercises) for the DIVAnd
user workshops and training sessions organised in the frame of H2020 SeaDataCloud project.
Diva
and DIVAnd
are software tools designed to generate gridded fields from in-situ observations.
-
The 1st workshop (Liège, 3-6 April 2018) was focused on the creation of gridded products and climatologies using
DIVAnd
. The organizational details are available. -
Within the 2nd SeaDataCloud training course (19-26 June 2019), the objective is to introduce participants to the
Julia
language, the Jupyter notebooks and the new Virtual Research Environment. -
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
.
A list of recommendations for the preparation of products.
Instructions and screen-shots detailing how to create a netCDF from an ODV collection.
Instructions and screen-shots to show how to add metadata to a CORA dataset.
This is useful when working on a machine with no internet connexion:
save_attributes_file.ipynb
Most notebooks need more resources that what is can currently available on Binder. The introduction notebooks (introduction to OI and variationa analysis) however work
.