BCIT Traffic Complexity
…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
- Participants
- 29
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
…edf file containing the eye positions during the MEG session. The ‘derivatives…
This dataset contains high-density diffuse optical tomography (HD-DOT) recordings from five adult participants completing functional localizer and naturalistic audiovisual movie viewing tasks. Data are stored in SNIRF format together with optode and landmark locations linked to subject-specific head models. Metadata describing the movie clips used as stimuli (20 clips from Finding Nemo, Frozen, Moana, Curious George and Daniel Tiger's Neighborhood) are provided, although the commercial media files are not included. Note: participant A04 has 16 additional movie-labelled runs (ses-7 MOV002-MOV009 and ses-8 MOV001-MOV008) that are not part of the 40 A04 movie runs in the 2024 paper and are not listed in the run-to-clip table. They likely correspond to a control experiment described in the 2025 Neurophotonics paper (audio-only and silent-video clips), but the stimulus condition of each session has not been confirmed by the authors, so these runs should not be assumed to be audiovisual movie viewing. Known file issues: events.tsv onset and duration are given in samples (10.42 Hz) rather than seconds, and the SNIRF files fail to load with mne.io.read_raw_snirf because landmarkLabels is stored as a 2-D array.
EEG recordings from 15 healthy participants performing a visual P300 oddball task while walking on a treadmill at 1.6 m/s, released as BCI Competition 2020 Track 5. The dataset combines 46-channel scalp EEG, 14-channel ear-EEG, 4 EOG channels, and 6 inertial measurement unit channels. It is designed to evaluate brain-computer interface performance under ambulatory conditions, with trials divided temporally into training, validation, and test sets.
…6 types of non-task-related data (eye blinking, eyeball movements, head…
This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.
…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.
…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…