nm000231 NEMAR-native dataset

P300 dataset from Hoffmann et al 2008

A P300-based brain-computer interface dataset comprising EEG recordings from 8 subjects (4 disabled, 4 able-bodied) performing a visual oddball task with image stimuli. The dataset includes 32-channel EEG data sampled at 2048 Hz from 4 sessions per subject, with 810 total trials per subject (135 targets, 675 non-targets) classified using Fisher's linear discriminant analysis and Bayesian linear discriminant analysis. This derivative dataset demonstrates high classification accuracy (100%) and information transfer rates suitable for BCI applications in disabled populations.

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/nm000231), 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 nm000231
cd nm000231 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000231/ — 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.nm000231

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Files

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