Jupyter notebooks for eReefs data access and visualisation

The team behind the CSIRO eReefs Data Explorer and emsarray  have joined forces to create a suite of Jupyter notebooks with working examples of how to access, manipulate and visualise eReefs model results datasets in Python.

You can find the notebooks at https://github.com/eReefs/ereefs-data-access-notebooks

Examples in there so far include:

• Discovering eReefs dataset dimensions in real-world coordinates (rather than grid-indices)
• Extracting a timeseries at a point from eReefs model results
• Plotting eReefs data on a map
• Clipping (subsetting) eReefs data to a region of your choice
• Extracting eReefs transect data, as either a line or as a vertical cross-section
• Animating eReefs model results
• Generating a simulated true colour plot from eReefs BGC reflectance variables