Zhou2020 — 7-day motor imagery BCI EEG dataset (repackaged)
Abstract
Re-hosted EEG data from Zhou et al. (2021), originally deposited on IEEE DataPort (DOI: 10.21227/f1c7-7x89) under a CC BY 4.0 license. The original multi-subject ZIP archives have been split into per-subject ZIPs with a clean session/run directory structure. Paper Q. Zhou, J. Lin, L. Yao, Y. Wang, Y. Han, K. Xu, “Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects,” Frontiers in Human Neuroscience, 15, 701091, 2021.DOI: 10.3389/fnhum.2021.701091 Paradigm TaskMotor imagery, 4 classes: left hand, right hand, both feet, idleTrials40 per run (10 per class), 6 runs per sessionTiming3 s rest → 1 s arrow cue → 5 s MI → restEventsGDF codes in MarkOnSignal: 769=left, 770=right, 771=feet, 780=idle; 786=cue, 800=trial endFeedbackNone (offline) Participants 20 healthy subjects, mean age 23.2 Sex: 11 male, 9 female All right-handed, BCI-naive S-subjects (S01–S12): 41 EEG + 4 EOG channels A-subjects (S13–S20, originally A1–A8): 26 EEG + 2 EOG channels Recording setup ParameterValueSystemNeuroscan SynAmps2Sampling rate500 HzReferenceVertex (Cz)GroundAFzFilters0.5–100 Hz bandpass, 50 Hz notchFormatNeuroscan NSsignal NPZ ZIP structure S01.zip/ session_1/ run_01.npz (keys: signal, MarkOnSignal, SampleRate, ...) run_02.npz ... session_2/ ... session_7/ ... Subject mapping Original naming unified for MOABB:S1–S12 → S01–S12A1–A8 → S13–S20 License CC BY 4.0 as per the IEEE DataPort deposit.
Fields of Study & Subjects
EEG and Brain-Computer Interfaces
Muscle activation and electromyography studies
Stroke Rehabilitation and Recovery
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 March 2026
- Language
- EN
- Document type
- Dataset