jsheunis / multi-echo-super

0 stars 0 forks source link

Add all known and publicly available multi-echo datasets as datalad subdatasets #3

Open jsheunis opened 2 years ago

jsheunis commented 2 years ago

I'm picking this effort up again after receiving a jolt of motivation during the multi-echo community meeting at OHBM 2022. The idea is to curate a datalad "super"dataset that has subdatasets for all known and publicly available multi-echo datasets out there (in any format: BIDS / non-BIDS / raw / derivative). This can then be used as the basis for metadata extraction and catalog generation using datalad-catalog, which means we can easily host a user friendly browser-based catalog of multi-echo fMRI data! Since everything is structured into a datalad dataset, it also means that data access will be streamlined.

I've started making a list here (results from a search on OpenNeuro and from the list of datasets on tedana):

Please add whatever is missing. Tagging @emdupre @smoia @dowdlelt @jbteves @tsalo @eurunuela @handwerkerd

smoia commented 2 years ago

This just made my day.

tsalo commented 2 years ago

Thanks @jsheunis! JSYK, I have converted the Le Petit Prince fMRIPrep derivatives to a Datalad dataset. Unfortunately, my attempts to push the dataset to G-Node GIN have been unsuccessful so far (lots of timeouts on my school's HPC). I am planning to try again soon.

jsheunis commented 2 years ago

Cool, thanks for the note! Good luck :)

tsalo commented 2 years ago

I think I have finally successfully uploaded the Le Petit Prince's fMRIPrep derivatives! https://gin.g-node.org/ME-ICA/ds003643-fmriprep-derivatives

jsheunis commented 2 years ago

Great!