Multisubject, multimodal face processing

A multimodal neuroimaging dataset comprising structural MRI, functional MRI, MEG, and EEG recordings from 16 subjects during a face recognition task. The dataset includes three stimulus categories (famous faces, unfamiliar faces, and scrambled faces) presented in initial and repeated conditions, enabling investigation of neural mechanisms underlying face processing and repetition effects across multiple imaging modalities.

ANAT BEH DWI FMAP FUNC MEG

Download zip Issues GitHub OpenNeuro ds000117

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

NeuroScience Gateway (NSG) portal.
NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/on000117), and submit.
nsgportal.org →
Local processing with nemar-cli.
Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning.
```
npm install -g nemar-cli
nemar dataset clone on000117
cd on000117 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on000117/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.

DOI 10.82901/nemar.on000117

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Files

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