We use cookies to ensure you get the best experience on our website
Home Explore Help News
Register Sign In

Scheduled service maintenance on November 22

On Friday, November 22, 2024, between 06:00 CET and 18:00 CET, GIN services will undergo planned maintenance. Extended service interruptions should be expected. We will try to keep downtimes to a minimum, but recommend that users avoid critical tasks, large data uploads, or DOI requests during this time.

We apologize for any inconvenience.

adswa
/
processing-workflow-tutorial
1
0
Fork 0
Files Issues 0 Pull Requests 0 Wiki

A tutorial for decentralized, reproducible processing with DataLad, based on fMRIprep and structural studyforrest data

Branch: master
Branches Tags
processing-w...
Adina Wagner efbb4a6a45 Declare MIT for code, CC-0 for data, CC-BY for writing 3 years ago
.datalad a8f4fd4b7c Register pipeline dataset 3 years ago
code 3b2010da3e SLURM submission setup 3 years ago
fmriprep 56737369a8 Merge results 3 years ago
inputs d13c44b1fb Update input data to its latest state 3 years ago
.gitattributes ab87c2c2e3 Apply YODA dataset setup 3 years ago
.gitignore 3b2010da3e SLURM submission setup 3 years ago
.gitmodules cdca5fa093 Register input data dataset as a subdataset 3 years ago
CHANGELOG.md ab87c2c2e3 Apply YODA dataset setup 3 years ago
LICENSE efbb4a6a45 Declare MIT for code, CC-0 for data, CC-BY for writing 3 years ago
README.md b87a00ee2a DOC: add a minimal README as a description 3 years ago

README.md

Preprocessed structural data from the studyforrest project

This dataset contains the results of an fMRIprep-based, anatomical preprocessing workflow of structural studyforrest data (studyforrest.org).

All results are fully and automatically reproducible with datalad. The details of this workflow are described at https://github.com/psychoinformatics-de/processing-workflow.

Software requirements for automatic recomputation

How to recompute

First, clone this dataset with DataLad. Next, take a look at the Git history of the data and identify the 40-character long commit shasum of a single-subject computation, then use this shasum in a datalad rerun command:

$ datalad rerun a95484c793793b7274dbef5239e0cc3d315ca0fe

How to obtain data without recomputation

First, cline this dataset with DataLad. Next, retrieve any file(s) of your choice with the datalad get command.