nm000163 NEMAR-native dataset

c-VEP and Burst-VEP dataset from Castillos et al. (2023)

This dataset comprises code-modulated Visual Evoked Potential (c-VEP) EEG recordings from 12 healthy participants performing a 2-class reactive brain-computer interface task with 4 targets. The study compares novel burst c-VEP sequences with traditional m-sequences at two stimulus amplitude depths (100% and 40%), evaluating classification performance, calibration efficiency, and user experience. EEG was recorded at 500 Hz using a 32-channel BrainProducts system with convolutional neural network decoding achieving 95.6% accuracy.

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/nm000163), 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 nm000163
cd nm000163 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000163/ — 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.nm000163

Files

Loading file index…