The recordings of the event are available on the YouTube playlist:

FLUXNET2015 Dataset

Variables guide: https://fluxnet.org/data/fluxnet2015-dataset/variables-quick-start-guide and

https://fluxnet.org/data/fluxnet2015-dataset/fullset-data-product

Python utilities

Lucas Python Course scripts download: https://drive.google.com/drive/folders/1x-x2CFTOGOc1IvtcnFYkBHcrGSBwvKRJ?usp=sharing

Python 3.9.4: https://docs.python.org/3

Numpy: https://numpy.org

Pandas: https://pandas.pydata.org

Pandas tutorials: https://pandas.pydata.org/docs/getting_started/intro_tutorials/index.html

Kite plugin with PyCharm for code completion and inline help for current command: https://www.kite.com/integrations/pycharm/

Remote sensing: 

https://github.com/attibalazs/awesome-remote-sensing

https://pypi.org/project/pyrsgis/

https://developers.arcgis.com/python/

https://geopandas.org/

https://earthpy.readthedocs.io/en/latest/

https://github.com/attibalazs/awesome-remote-sensing

Other flux-related links

A paper on gap-filling flux data: https://www.sciencedirect.com/science/article/abs/pii/S016819230700216X

Rolling list of software/packages for flux-related data processing:

https://fluxnet.org/2017/10/10/toolbox-a-rolling-list-of-softwarepackages-for-flux-related-data-processing/

A C implementation of the MDS method (same as used for REddyProc) as part of the ONEFlux codebase: https://github.com/FLUXNET/ONEFlux

REddyProcWeb online tool: https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWeb

Pymicra – A Python tool for Micrometeorological Analyses: https://github.com/tomchor/pymicra