A subset of large-scale EEG dataset (India + Tanzania)
…Assessment of population well-being with the Mental Health Quotient: validation study…
- Participants
- 2000
- Channels
- 50 (other)
- Citations
- 3
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
…Assessment of population well-being with the Mental Health Quotient: validation study…
EEG recordings from 24 participants performing a meditation task. Participants were interrupted approximately every two minutes to rate their level of concentration and mind wandering. The dataset supports research on meditation, attention, and mind wandering.
…Brain-computer interface, BCI, electroencephalography, EEG, hybrid BCI, mental arithmetic, motor imagery…
EEG recordings from a simulated driving study designed to assess fatigue-related changes in performance through EEG biomarkers. Participants completed a 60-minute driving task (six 10-minute blocks) with steering and speed control and periodic lateral perturbations. Data were collected at three sites (ARL, Teledyne, SAIC) using 64- or 256-channel BioSemi EEG systems. The dataset is part of the BCIT program and is a companion to the Calibration Driving session.
…N-back arithmetic (NB-MA, combined N-back and mental arithmetic) 7…
Raw and pre-processed mobile EEG recordings from 44 healthy adults performing an auditory oddball task with complex tone stimuli. The task was performed in three environments of increasing complexity: a quiet laboratory, a sports field, and a university campus route. In each environment participants either counted deviant tones or ignored the tones. The dataset supports investigation of how cognitive task demands, motor demands and environmental complexity affect attentional processing, and includes the MATLAB and R analysis pipeline.
…The task required participants to either mentally manipulate memory items or retain…
EEG and behavioral dataset from a prolonged simulated driving study in which participants completed two 45-minute driving sessions with lateral perturbations and auditory cues. Cues were either random or predictive of perturbation onset. The study was designed to identify driver fatigue biomarkers from EEG and to compare them with objective driving performance measures. Data are in BIDS format and include EEG, eye tracking and vehicle logs.
…Our aim was to test whether the mental representation generated by four…
EEG dataset from the Brain-Computer Interaction Technologies (BCIT) Speed Control study, in which participants performed extended, roughly 45-minute simulated driving sessions to assess fatigue-related changes in performance. Two conditions were compared: automatic constant speed with steering only (cruise) and manual control of both steering and speed. Lateral perturbations were applied to the vehicle, and the data support development of EEG-based biomarkers of driver fatigue alongside behavioral performance measures.