nm000112
FACED - Finer-grained Affective Computing EEG Dataset
EEG Zarr verified
- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 97
- Size
- 31.4 GB
- Version
- v1.1.3
- Updated
- Jul 10, 2026
Discover datasets
100 results for "probabilistic learning" · page 6 of 10 · ranked by relevance
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- on006545
Reliability-Dubois2024
NIRSThis dataset contains time-domain functional near-infrared spectroscopy (fNIRS) measurements collected to assess the reliability of brain metrics derived from a commercial fNIRS system. The study evaluates the reproducibility and consistency of hemodynamic measurements across multiple sessions, providing empirical evidence for the reliability of fNIRS-based neuroimaging metrics in clinical and research applications.
- Participants
- 49
- Size
- 46.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEG…data from Mexican children with learning difficulties who strengthen reading and math…
- Participants
- 76
- Channels
- 32 (10-10)
- Citations
- 2
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
BEH iEEGThis dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
- Participants
- 258
- Citations
- 1
- Size
- 477 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005486
PREDICT
EEGThe PREDICT dataset comprises electroencephalography (EEG) recordings collected to investigate predictive markers related to pain and sensorimotor processing across multiple participants and sessions. It is intended to support research into individual variability in cortical responses, contributing to studies of pain chronification and neural predictors of clinical outcomes. This dataset is mirrored on NEMAR from an original OpenNeuro release.
- Participants
- 159
- Citations
- 6
- Size
- 371 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007647
Different Doors
BEH EEG[
- Citations
- 1
- Size
- 3.34 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on005383
TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments
EEGTMNRED is an EEG dataset collected from 30 healthy, right-handed native Chinese speakers performing a natural reading task designed to investigate fuzzy semantic target identification. Participants read Chinese news headlines and short sentences containing target and non-target semantic items while EEG was recorded across 8 blocks of 400 trials each. The dataset supports research into semantic processing mechanisms during naturalistic reading in the Chinese language.
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 1
- Size
- 17.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000249
BNCI 2022-001 EEG Correlates of Difficulty Level dataset
EEG…drone control, adaptive learning, difficulty regulation, visuomotor learning - **Environment**: indoor laboratory - **Online…
- Participants
- 13
- Channels
- 64 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 9.42 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG Zarr unverifiable…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on005779
Real-time personalized brain state-dependent TMS in healthy adults
EEGThis dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.
- Participants
- 19
- Channels
- 70 (10-10)
- Citations
- 12
- Size
- 88.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026