nm000157
BigP3BCI Study B — 6x6 checkerboard, multi-session (19 healthy subjects)
EEG
- Participants
- 19
- Size
- 1.20 GB
- Version
- v1.0.0
- Updated
- Jun 1, 2026
Discover datasets
Showing 10 of 90 datasets · page 1 of 9
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- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEGThe Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
- Participants
- 29
- Size
- 7.44 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- nm000255
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 2
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
- Participants
- 31
- Size
- 5.23 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- nm000241
CerebroVoice: Bilingual sEEG Speech Dataset
iEEG- Participants
- 2
- Size
- 1.87 GB
- Version
- v1.0.0
- Updated
- May 16, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
BEH EEG- Participants
- 10
- Size
- 159 GB
- Version
- v1.0.1
- Updated
- May 16, 2026
- nm000228
Nieuwland et al. 2018: Multi-site N400 Replication Study
EEGA large-scale multi-laboratory replication study (N=356) examining N400 effects during sentence comprehension across nine UK institutions. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of article-noun expectancy based on cloze probability. The study tests predictions about phonological pre-activation in language comprehension and provides a comprehensive dataset with standardized acquisition protocols across diverse recording systems and electrode configurations.
- Participants
- 356
- Size
- 102 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- nm000225
PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)
EEGA polysomnographic dataset comprising 1,983 overnight sleep recordings from Massachusetts General Hospital, including 994 training subjects with expert annotations and 989 test subjects. The dataset was created for the PhysioNet/Computing in Cardiology Challenge 2018 and contains 13 channels of physiological signals (EEG, EOG, EMG, respiratory, SpO2, ECG) sampled at 200 Hz, with annotations for sleep stages, respiratory events, and arousal types in the training set.
- Participants
- 1983
- Size
- 401 GB
- Version
- v1.1.0
- Updated
- Jun 3, 2026
- nm000180
Brennan2019: EEG during Alice in Wonderland Listening
EEGEEG during naturalistic listening to Alice in Wonderland chapter 1. 45 subjects, 61 EEG channels, 500Hz, easycap-M10. DOI:10.1371/journal.pone.0207741
- Participants
- 45
- Size
- 3.81 GB
- Version
- v1.0.0
- Updated
- Jun 1, 2026
- nm000179
LEMON: MPI Leipzig Mind-Brain-Body EEG (Resting State)
EEGResting-state 62-ch EEG, 215 subjects, eyes-open/closed blocks. BrainVision actiCHamp 2500Hz. DOI:10.1038/sdata.2018.308
- Participants
- 215
- Size
- 127 GB
- Version
- v1.0.0
- Updated
- Jun 1, 2026
- nm000166
M3CV: Multi-subject, Multi-session, Multi-task EEG Database
EEG64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
- Participants
- 95
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- May 18, 2026