GuttmannFlury2025 — Eye-BCI multimodal dataset: Motor Execution (re-hosted from Synapse, EEG converted to BDF)

Re-hosted EEG multimodal data (Motor Execution) from Guttmann-Flury, Sheng & Zhu (2025), originally deposited on Synapse (DOI: 10.7303/syn64005218) under a CC0 public domain dedication. EEG data converted from Neuroscan CSV to BDF format for ~3x space reduction with negligible loss (max 0.006 μV error).

Paper

E. Guttmann-Flury, X. Sheng, and X. Zhu, “Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms,” Scientific Data, 12, 587, 2025.
DOI: 10.1038/s41597-025-04861-9

Paradigm: Motor Execution

Participants

• 31 healthy subjects (20 male, 11 female)
• Age: 20–57 years (mean 28.3)
• 25 right-handed, 2 left-handed, 4 ambidextrous
• 1–3 sessions per subject (63 sessions total)

Recording setup

Multimodal data per recording

File structure

31 per-subject ZIP files (S01.zip–S31.zip). Each contains 1–3 session folders:

S01.zip
  Sess01/
    ME011.bdf
    ME011_sync.csv
    ME011_tobii.csv
    ME011_phantom.avi
    ME011_phantom.xml
    ME011_eprime.txt
...
S31.zip

Conversion details

• EEG: Neuroscan CSV → BDF (24-bit), ~3.2x compression
• Round-trip error: max 0.006 μV (0.000003% of signal range)
• Non-EEG CSV columns (timestamps, cues, video sync, blinks) preserved in _sync.csv sidecar
• Eye-tracking, video, E-Prime files: copied byte-for-byte (no conversion)

Reading the data

import mne
raw = mne.io.read_raw_bdf('ME011.bdf', preload=True)
print(raw.info)  # 66 channels, 1000 Hz

License

CC0 1.0 Universal (Public Domain Dedication), as stated in the original paper (Section “Data Records”).