nm000176 NEMAR-native dataset

BigP3BCI Study K — 9x8 adaptive/checkerboard, 2 sessions (5 healthy subjects)

This dataset comprises EEG recordings from 5 healthy subjects performing a P300-based brain-computer interface (BCI) speller task using a 9x8 adaptive/checkerboard stimulus paradigm across 2 sessions. The data were acquired at 256 Hz using 16 channels with a g.USBamp amplifier and represent a derivative subset of the BigP3BCI study, the largest public P300 BCI dataset containing recordings from approximately 267 subjects across 20 studies. This dataset is suitable for P300 detection, feature extraction, and within-subject BCI performance evaluation.

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/nm000176), 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 nm000176
cd nm000176 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000176/ — 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.nm000176

Files

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