The folder structure is as follows:

• data contains all of the raw and processed data required to perform the analyses reported.
• tutorials contains notebooks demonstrating how to reproduce the results reported in the main text.
• analyses contains notebooks that reproduce the results produced in the supporting information, which are not needed for a core understanding of how the data / models were generated.
• ml_features contains notebooks generating the features used for the models in this work, as well as files containing the features.
• ml_training contains notebooks analyzing ML performance, as well as scripts to train the models reported and files containing these models' predictions.

Each folder contains its own README which gives a brief overview of the files in that directory.