GuttmannFlury2025 — Eye-BCI multimodal dataset: Steady-State Visual Evoked Potentials (re-hosted from Synapse, EEG converted to BDF)
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Re-hosted EEG multimodal data (Steady-State Visual Evoked Potentials) 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: Steady-State Visual Evoked Potentials Classes4 classes: 8, 10, 12, 15 Hz flickering targetsTrials48 trials/session (4 freq x 4 blocks x 3 reps)Timing1 s cue + 5 s flickering + 1 s restDuration~7-8.5 min per recordingEventsTrig codes correspond to target frequency 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 ParameterValueSystemNeuroscan Quik-Cap 65-ch + SynAmps2Channels62 EEG + 2 mastoid (M1/M2) + 1 EOG (HEO) + 1 STIM (Trig) = 66Sampling rate1000 HzReferenceRight mastoid (M1)Line frequency50 HzFile formatBDF (24-bit, converted from CSV) Multimodal data per recording FileContentSSVEPXXX.bdfEEG (66 channels, BDF)SSVEPXXX_sync.csvMetadata sidecar (timestamps, cues, video sync, blinks)SSVEPXXX_annotations.jsonRich trial annotations with E-Prime timing metadataSSVEPXXX_tobii.csvTobii eye-tracking gaze dataSSVEPXXX_phantom.aviHigh-speed eye video (~500 fps)SSVEPXXX_phantom.xmlEye video annotations (pupil tracking)SSVEPXXX_eprime.txtE-Prime stimulus timing/cues File structure 31 per-subject ZIP files (S01.zip–S31.zip). Each contains 1–3 session folders: S01.zip Sess01/ SSVEP011.bdf SSVEP011_sync.csv SSVEP011_tobii.csv SSVEP011_phantom.avi SSVEP011_phantom.xml SSVEP011_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('SSVEP011.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”).



