on004368
Meta-rdk: Preprocessed EEG data
EEG
Imported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
Showing 10 of 666 datasets · page 49 of 67
-
- on004849
STRONG
EEGImported from OpenNeuro ds004849
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on001787
EEG meditation study
EEGImported from OpenNeuro ds001787
- Participants
- 24
- Channels
- 64
- Citations
- 12
- Size
- 5.69 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on003800
Auditory Gamma Entrainment
EEGImported from OpenNeuro ds003800
- Participants
- 13
- Channels
- 19 (10-20)
- Size
- 364 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000154
on001787
EEG- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000157
BigP3BCI Study B — 6x6 checkerboard, multi-session (19 healthy subjects)
EEG- Participants
- 19
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.20 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEGMIPDB is a multimodal neuroimaging resource comprising high-density EEG and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of six cognitive and perceptual paradigms (resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search) designed to probe information processing maturation across development. This dataset enables investigation of neurodevelopmental trajectories in sensory and cognitive processing.
- Size
- 110 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Citations
- 4
- Size
- 5.12 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- 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
- Channels
- 64 (10-10)
- Size
- 7.44 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 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
- Channels
- 64 (10-10)
- Size
- 5.23 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026