Compile existing tools used for visualizing ocean data

[MarineLebrec]

For example:

• BGC Argo data access and visualizations in Python (https://github.com/go-bgc/workshop-python) and in R (https://github.com/euroargodev/BGC-ARGO_R_WORKSHOP)
• Ocean model analysis and visualizations: https://oceanspy.readthedocs.io/en/latest/index.html

[NickMortimer]

Here's some code snippets from IMOS data

• Loading ANFOG glider data, producing plots, saving output: https://github.com/UNSW-MATH/python_group/blob/master/code%202019/IMOS_load_ANFOG.ipynb • GliderTools - a useful package for processing glider data, but built for EGO NetCDF files. Compatible with IMOS files with some extra code. https://glidertools.readthedocs.io/en/latest/cheatsheet.html • Data product tutorials: https://figshare.com/articles/software/Data_Product_tutorials_for_Roughan_et_al_Multi-decadal_ocean_temperature_time-series_and_climatologies_from_Australia_s_long-term_National_Reference_Stations_2022_/18232691?file=32991497 • Various code for our Python User Group: https://github.com/UNSW-MATH/python_group

[leonardolaiolo]

I just found this Python library dedicate to Argo - never saw this before. I don't think I'm going to use it for the workshop, but someone may found it interesting? https://github.com/euroargodev/argopy

[ribeiron]

Here is a paper for the gridded/aggregated products of IMOS moorings: https://www.nature.com/articles/s41597-022-01224-6#code-availability Here is the Git Hub repository https://github.com/aodn/python-aodntools/tree/master/aodntools/timeseries_products. Note that it is already hosted through AODN and there is some other things there. Tutorials and scripts in Matlab, Python and R demonstrating how to download and load the data products, produce plots, and export the data as CSV files are available under a Creative Commons Attribution 4.0 International license (CC BY 4.0) and can be assed through here: https://www.nature.com/articles/s41597-022-01224-6#code-availability