on007095
RNS_Epilepsy-iBIDS
iEEG
…Each recording contains 90 seconds of dual-channel iEEG around each stimulation…
- Participants
- 8
- Citations
- 1
- Size
- 498 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "sensory flicker stimulation" · page 10 of 10 · ranked by relevance
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- on007175
FFR-active-listening
EEGImported from OpenNeuro ds007175
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 226 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000202
P300 dataset BI2012 from a "Brain Invaders" experiment
EEG…https://www.hedtags.org/hed-schema-browser ``` Target ├─ Sensory-event ├─ Experimental-stimulus…
- Participants
- 25
- Citations
- 3
- HED
- v8.4.0
- Size
- 54.4 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
- Participants
- 23
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 6.12 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG…There is no stimulation during the distractor or retrieval phases. Stimulation is…
- Participants
- 18
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004660
TNO
EEGTNO (Task-Negative Oscillations) is an EEG dataset containing resting-state and task-based electroencephalography recordings. The dataset includes EEG data collected during cognitive tasks and resting-state conditions, organized in BIDS format with data files in EEGLAB format (.set/.fdt files) and accompanying metadata in BIDS-compatible formats (JSON, TSV). This dataset is designed to investigate neural oscillations and their relationship to task engagement and cognitive processing. The dataset comprises recordings from multiple subjects performing standardized cognitive tasks and resting-state sessions, with complete event annotations and electrode location information.
- Participants
- 21
- Channels
- 32 (10-10)
- HED
- v8.1.0
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003739
Perturbed beam-walking task
EEGThis dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.
- Participants
- 30
- Channels
- 128 (biosemi)
- Citations
- 162
- Size
- 10.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000236
Dataset of an EEG-based BCI experiment in Virtual Reality using P300
EEG…https://www.hedtags.org/hed-schema-browser ``` Target ├─ Sensory-event ├─ Experimental-stimulus…
- Participants
- 21
- Channels
- 16 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 999 MB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on004752
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
EEG iEEGThis dataset comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.
- Participants
- 15
- Channels
- 19 (10-20)
- Citations
- 47
- Size
- 11.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004661
ANDI
EEGImported from OpenNeuro ds004661
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 1.40 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026