on003801
Neural Tracking to go
EEG
Imported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "change detection task" · page 4 of 10 · ranked by relevance
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- on005515
Healthy Brain Network (HBN) EEG - Release 10
EEG…of presentations. #### Active Tasks 4. **Contrast Change Detection**: Participants identified flickering disks…
- Participants
- 533
- Channels
- 129 (egi-geodesic)
- Size
- 161 GB
- Version
- v1.0.0
- Updated
- Jul 22, 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
- v1.0.0
- Updated
- Jul 10, 2026
- nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography
EMG Zarr verified…handwriting - Imagined handwriting from wrist-based surface electromyography **Task**: Air-writing (imagined…
- Participants
- 100
- Size
- 45.3 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on007169
Multimodal Cognitive Workload n-back Task, 4 Difficulties
EEG…sub-*/pupil as *_task-nback_pupil.tsv + *_task-nback_eyetrack.json (PhysioType…
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.13 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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
- on004980
EEG data set for a architectural affordances task
EEG[
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004043
The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
EEGThis dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.
- Participants
- 20
- Citations
- 1
- Size
- 30.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004033
Electrode walking study
EEG…Oddball task: Standing / Walking alone / Walking together. Participants performed an oddball task…
- Participants
- 18
- Channels
- 64 (10-05)
- Citations
- 1
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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