Dataset containing resting EEG for a sample of 103 normal infants in the first year of life
…81 subjects with 1 EEG recording 18 subjects with 2 EEG recordings…
- Participants
- 103
- Channels
- 21 (10-20)
- Size
- 653 MB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
…81 subjects with 1 EEG recording 18 subjects with 2 EEG recordings…
Raw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.
…All EEG recordings were acquired during a single recording session lasting approximately…
SeizeIT2 is a multicenter, prospective dataset of wearable behind-the-ear EEG, ECG, EMG and movement recordings from 125 adult and pediatric patients with focal epilepsy. Patients were monitored in five European epilepsy monitoring units with the Sensor Dot wearable device alongside standard video-EEG. The dataset contains about 11,640 hours of wearable data with 886 recorded focal seizures, annotated in BIDS-score compatible format, and supports the development and validation of seizure detection algorithms.
…All recordings were artifact-free segments selected from longer recording sessions, with…
…The recording equipment was mounted immediately prior to bedtime, and the recordings…
EEG recordings from 33 participants who each completed both a visual and an auditory surprise task, with task order counterbalanced. The dataset supports investigation of electrophysiological markers of surprise-induced failures of visual and auditory awareness. Data from participants excluded at various analysis stages are included up to the stage of processing they reached.
…They are also identified with the `recording_restarted` field in `participants.tsv…
A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.
…The first session is SITUATION1A consisting of the first recording, then the…