ArEEG: Arabic Inner Speech EEG dataset

ArEEG is an open-access electroencephalography dataset comprising inner speech recordings from 12 Arabic-speaking subjects during tasks with visual cues presented in Modern Standard Arabic. This dataset provides a resource for investigating neural correlates of inner speech processing and developing brain-computer interfaces for Arabic language applications.

EEG

Download zip Issues GitHub OpenNeuro ds005262

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/on005262), 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 on005262
cd on005262 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on005262/ — 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.on005262

Files

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