nm000190 NEMAR-native dataset

BNCI 2015-012 PASS2D P300 dataset

This dataset comprises a 9-class auditory event-related potential (ERP) paradigm designed for brain-computer interface (BCI) applications, specifically a predictive text entry system called PASS2D. Ten healthy participants performed a single session including calibration and online spelling tasks using two-dimensional auditory stimuli varying in pitch and spatial direction. The dataset includes 63-channel EEG recordings preprocessed with bandpass filtering, downsampling to 100 Hz, and artifact rejection, achieving an average spelling speed of 0.8 characters per minute.

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/nm000190), 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 nm000190
cd nm000190 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000190/ — 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.nm000190

Files

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