on005415
Numbers
ANAT BEH iEEG Zarr
…were waiting on the epilepsy monitoring unit to have seizures at Oregon…
- Participants
- 13
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
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- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEG Zarr fidelity issueMultimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 7.47 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- on004602
Registered Replication Report of ERN/Pe Psychometrics
EEG Zarr[
- Size
- 76.4 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on007629
ROAMM
BEH EEG ZarrROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000168
BNCI 2015-013 Error-Related Potentials dataset
EEG Zarr…Error-related potential (ErrP) monitoring task where subjects observe a cursor moving…
- Participants
- 6
- Channels
- 64 (10-10)
- Citations
- 81
- HED
- v8.4.0
- Size
- 5.21 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005448
STReEF
iEEG Zarr…In long-term recordings, data that are recorded within one monitoring period…
- Participants
- 13
- Size
- 44.7 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEG ZarrRaw 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.
- Participants
- 86
- Channels
- 63 (10-10)
- Citations
- 65
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on005931
Visuomotor_task
iEEG Zarr…Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures…
- Participants
- 8
- Size
- 818 MB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on005416
Fatigue Characterization of EEG under Mixed Reality Stereo Vision
EEG ZarrThis dataset contains EEG recordings from participants viewing stereoscopic scenes in a mixed reality environment, collected to characterize visual fatigue. Participants watched 2 resting scenes and 15 movement scenes, each followed by a rating scene. The data support both resting-state and task-state analyses.
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 21.3 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNC ZarrThis dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 45
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jun 8, 2026