on004200
Temporal Scaling
BEH EEG
…In the Perception task, participants judged a computer-produced interval as correct…
- Participants
- 20
- Channels
- 37 (10-10)
- Size
- 7.21 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Brain-Computer Interfaces" · page 10 of 10 · ranked by relevance
-
- nm000264
Vaineau, Barachant & Andreev 2013 — Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset (BI2013a)
EEG…Brain invaders adaptive versus non-adaptive P300 brain-computer interface dataset. arXiv…
- Participants
- 24
- Channels
- 16 (10-10)
- Citations
- 6
- HED
- v8.4.0
- Size
- 1.71 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEGThis dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
- Participants
- 86
- Channels
- 63 (10-10)
- Size
- 253 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006446
Cueing the future to reduce temporal discounting
EEGAn EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 16.1 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000250
Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research
EEG…motor imagery, brain-computer interface, EEG, BCI illiteracy, user training, personality profile…
- Participants
- 87
- Channels
- 27 (10-10)
- Citations
- 35
- HED
- v8.4.0
- Size
- 8.83 GB
- Version
- vv1.0.2
- Updated
- Jul 10, 2026
- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000245
Motor Imagery dataset from Cho et al 2017
EEG…EEG datasets for motor imagery brain-computer interface from 52 subjects with…
- Participants
- 52
- Citations
- 92
- HED
- v8.4.0
- Size
- 6.75 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004661
ANDI
EEGImported from OpenNeuro ds004661
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 1.40 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
- on004752
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
EEG iEEGThis dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 11.9 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026