nm000162 NEMAR-native dataset

BNCI 2025-001 Motor Kinematics Reaching dataset

This dataset comprises preprocessed electroencephalography (EEG) recordings from 20 healthy participants performing a four-direction center-out reaching task with varying movement speeds and distances. Participants executed discrete reaching movements in response to visual cues while maintaining eye fixation, with 16 distinct motor imagery classes defined by direction (up, down, left, right), speed (slow, fast), and distance (near, far). The dataset includes 67 EEG channels recorded at 500 Hz with comprehensive preprocessing including artifact correction, ICA decomposition, and source localization analysis.

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/nm000162), 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 nm000162
cd nm000162 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000162/ — 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.nm000162

Files

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