adswa/processing-workflow-tutorial: A tutorial for decentralized, reproducible processing with DataLad, based on fMRIprep and structural studyforrest data @ efbb4a6a458f5b578250b6868a1b8101b270d816

Adina Wagner 3b2010da3e SLURM submission setup		пре 3 година
..
pipeline @ bd4dcd003b	c08e6c38c2 [DATALAD] Recorded changes	пре 3 година
.gitattributes	ab87c2c2e3 Apply YODA dataset setup	пре 3 година
README.md	ab87c2c2e3 Apply YODA dataset setup	пре 3 година
all.jobs	3b2010da3e SLURM submission setup	пре 3 година
call.job	3b2010da3e SLURM submission setup	пре 3 година
license.txt	d2bfb3d2c3 Add Freesurfer license file	пре 3 година
participant_job	debc7dbc11 Participant compute job implementation	пре 3 година
process.condor_dag	1adc28e292 HTCondor submission setup	пре 3 година
process.condor_submit	1adc28e292 HTCondor submission setup	пре 3 година
process.sbatch	3b2010da3e SLURM submission setup	пре 3 година
runJOB.sh	3b2010da3e SLURM submission setup	пре 3 година
runfmriprep.sh	debc7dbc11 Participant compute job implementation	пре 3 година

All custom code goes into this directory. All scripts should be written such that they can be executed from the root of the dataset, and are only using relative paths for portability.

README.md