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Felix Hoffstaedter
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{
"chain": [],
"cmd": "./code/containers/scripts/singularity_cmd exec code/containers/images/bids/bids-mriqc--0.15.1.sing mriqc_clf --load-classifier -X group_T1w.tsv; mv mclf_run*data-unseen_pred.csv mclf_data-unseen_pred.csv",
"dsid": "669c4ef4-979a-4e90-a9e5-946b26ed3b33",
"exit": 0,
"extra_inputs": [
"code/containers/images/bids/bids-mriqc--0.15.1.sing"
],
"inputs": [
"group_T1w.tsv"
],
"outputs": [],
"pwd": "."
}
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| CHANGELOG.md | ||
| dataset_description.json | ||
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| group_bold.tsv | ||
| group_dwi.html | ||
| group_dwi.tsv | ||
| group_T1w.html | ||
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| mclf_data-unseen_pred.csv | ||
| README.md | ||
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| sub-01_ses-post_task-emomatching_acq-seq_bold.html | ||
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| sub-01_ses-pre_task-emomatching_acq-seq_bold.html | ||
| sub-01_ses-pre_task-restingstate_acq-mb3_bold.html | ||
| sub-01_ses-pre_task-restingstate_acq-seq_bold.html | ||
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| sub-22_ses-post_T1w.html | ||
| sub-22_ses-post_task-restingstate_acq-mb3_bold.html | ||
| sub-22_ses-pre_acq-sequential_dwi.html | ||
| sub-22_ses-pre_T1w.html | ||
| sub-22_ses-pre_task-restingstate_acq-mb3_bold.html | ||
| sub-24_ses-post_acq-sequential_dwi.html | ||
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| sub-24_ses-post_task-restingstate_acq-mb3_bold.html | ||
| sub-24_ses-post_task-restingstate_acq-seq_bold.html | ||
| sub-24_ses-pre_acq-sequential_dwi.html | ||
| sub-24_ses-pre_T1w.html | ||
| sub-24_ses-pre_task-emomatching_acq-seq_bold.html | ||
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ds003495 - MRIQC derivatives
This dataset is a BIDS Derivatives dataset resulting from running MRIQC 24.0.2 on ds003495.
Methods
MRIQC documentation can be found on https://mriqc.readthedocs.io/.
This dataset was created using BOOTSTRAP - a high-throughput container workflow for MRIQC implementing the FAIRly Big Workflow using Datalad and Singularity containers for full reproducibility and provenance capture including resource consumption via con-duct.
Acknowledgements
The authors from the Institute of Neuroscience and Medicine (INM-7) at the Forschungszentrum Jülich, Germany gratefully acknowledge the FENIX Research Infrastructure for funding this project by providing cloud computing time on the FZJ Supercomputer JUSUF at Jülich Supercomputing Centre (JSC).