nm000187 NEMAR-native dataset

BigP3BCI Study N — 9x8 dry/wet electrode comparison (8 ALS subjects)

This dataset comprises EEG recordings from 8 ALS patients performing a P300-based brain-computer interface speller task using a 9x8 character grid. Participants completed 2 sessions each, with 16-channel EEG data acquired at 256 Hz using dry and wet electrode configurations for comparison. The dataset is part of the BigP3BCI study, the largest public P300 BCI dataset, and includes standardized HED event annotations for target and non-target visual stimuli.

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/nm000187), 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 nm000187
cd nm000187 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000187/ — 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.nm000187

Files

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