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

Árbore: 3b2010da3e
Ramas Etiquetas
processing-w...
Adina Wagner 3b2010da3e SLURM submission setup %!s(int64=3) %!d(string=hai) anos
.datalad a8f4fd4b7c Register pipeline dataset %!s(int64=3) %!d(string=hai) anos
code 3b2010da3e SLURM submission setup %!s(int64=3) %!d(string=hai) anos
inputs ca8abb5b5c [DATALAD] Recorded changes %!s(int64=3) %!d(string=hai) anos
.gitattributes ab87c2c2e3 Apply YODA dataset setup %!s(int64=3) %!d(string=hai) anos
.gitignore 3b2010da3e SLURM submission setup %!s(int64=3) %!d(string=hai) anos
.gitmodules cdca5fa093 Register input data dataset as a subdataset %!s(int64=3) %!d(string=hai) anos
CHANGELOG.md ab87c2c2e3 Apply YODA dataset setup %!s(int64=3) %!d(string=hai) anos
README.md ab87c2c2e3 Apply YODA dataset setup %!s(int64=3) %!d(string=hai) anos

README.md

Project

Dataset structure

  • All inputs (i.e. building blocks from other sources) are located in inputs/.
  • All custom code is located in code/.