nm000191 NEMAR-native dataset

BigP3BCI Study F — 6x6 multi-paradigm, 3 sessions (10 healthy subjects)

BigP3BCI Study F is a derivative EEG dataset comprising P300-based brain-computer interface recordings from 10 ALS patients across 3 sessions using a 6x6 character grid speller paradigm. This dataset is processed from the source BigP3BCI dataset (DOI: 10.13026/0byy-ry86) using MOABB (Mother of All BCI Benchmarks v1.5.0). The dataset contains 16-channel EEG data sampled at 256 Hz with visual stimulus presentations designed for P300 event-related potential detection and BCI speller applications.

EEG

Download zip Issues GitHub

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/nm000191), 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 nm000191
cd nm000191 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000191/ — 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.nm000191

Files

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