Hello everybody,
I am a student studying 3rd year of my computer science and i would really like to work on datasets for MNE python for GSoC 2023.
I have already used MNE and have looked into some datasets, i have also looked into the websites that have more of these datasets, but im still wondering on how the data is being fetched ,how can they be accessed with an API and different types of datasets and if all of them can be converted to BIDS?
I would love to maybe get a little bit of guidance and ideas on how to get started for this project.
@pandemonium - There are several open access datasets available. Openneuro is the easiest to access and requires all data to be in BIDS format. You can click to download, or use the openneuro python tool, or datalad to download – all download methods are described in the download section of each specific repository. NIH recently released a dataset with 60-70 subjects across 5 MEG tasks + fmri/dti (shamelessly advertising here because I helped on it). There are also many other MEG and EEG datasets to look through. The other datasets (non-openneuro) require some sort of access approval – some are easier and quicker than others.
Donders institute has a download section to peruse through. Below is a 200 subject language task: https://data.donders.ru.nl/collections/di/dccn/DSC_3011020.09_236?0
The human connectome project has ~70 subjects for MEG data: https://www.humanconnectome.org/study/hcp-young-adult/document/500-subjects-data-release
OMEGA dataset from MNI: https://www.mcgill.ca/bic/neuroinformatics/omega
Cambridge has the CAMCAN dataset: https://camcan-archive.mrc-cbu.cam.ac.uk/dataaccess/
Hope this helps. This is a non-exhaustive list (and MEG oriented) - there are many others.