on005628
Dataset of Visual and Audiovisual Stimuli in Virtual Reality from the Edzna Archaeological Site
EEG
Imported from OpenNeuro ds005628
- Participants
- 102
- Channels
- 8 (10-10)
- Citations
- 1
- Size
- 633 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
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Showing 10 of 760 datasets · page 57 of 76
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- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004849
STRONG
EEGImported from OpenNeuro ds004849
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on001787
EEG meditation study
EEGImported from OpenNeuro ds001787
- Participants
- 24
- Channels
- 64
- Citations
- 12
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003800
Auditory Gamma Entrainment
EEGImported from OpenNeuro ds003800
- Participants
- 13
- Channels
- 19 (10-20)
- Size
- 364 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000154
on001787
EEG- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- 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
- v1.0.0
- 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
- v1.0.0
- Updated
- Jul 10, 2026
- nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEHThe Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
- Size
- 880 MB
- Version
- v1.0.0
- 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
- v1.0.0
- Updated
- Jul 10, 2026