on005291
65 By ANT
EEG
…Subsequently, each participant underwent 30 laser stimuli and provided verbal pain ratings…
- Participants
- 65
- Channels
- 32 (10-10)
- Size
- 42.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "verbal memory encoding" · page 5 of 10 · ranked by relevance
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- nm000174
Imagined Speech EEG dataset comparing paradigm designs (Aguilera-Rodriguez et al. 2025)
EEGAn EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified (Pac-Man maze) paradigms for brain-computer interface applications. The dataset comprises 1,800 trials across four Spanish directional commands recorded at 500 Hz from 24 electrodes using the mBrainTrain Smarting system. This derivative dataset enables systematic evaluation of paradigm design effects on imagined speech decoding performance.
- Participants
- 15
- Channels
- 24 (10-10)
- HED
- v8.4.0
- Size
- 829 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEGThis dataset comprises preprocessed EEG recordings from 6 healthy participants performing imagined speech discrimination tasks between short and long words ('cooperate' vs 'in'). Data were acquired at 256 Hz using 64 EEG channels with standard preprocessing including bandpass filtering (8-70 Hz), notch filtering (60 Hz), and artifact removal. The dataset contains 1,200 trials analyzed using Riemannian manifold and relevance vector machine approaches for brain-computer interface applications, achieving mean classification accuracy of 73.3±8.9%.
- Participants
- 6
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 236 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005286
30 By ANT
EEG…Subsequently, each participant underwent 30 laser stimulis and provided verbal pain ratings…
- Participants
- 30
- Channels
- 32 (10-10)
- Size
- 19.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000252
Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)
EEGThis dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks with two conditions (cooperate and independent word imagery). The study employed a motor imagery paradigm with auditory and visual cues, yielding 1,200 trials that were preprocessed into 3,600 overlapping epochs (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.
- Participants
- 6
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 252 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEGThe YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005530
Depotentiation of emotional reactivity using TMR during REM sleep
ANAT BEH EEG FMAP FUNC…Disarming emotional memories using Targeted Memory Reactivation during Rapid Eye Movement sleep…
- Participants
- 18
- Channels
- 10 (10-20)
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004256
Encoding of Sound Source Elevation in Human Cortex
BEH EEG[
- Size
- 18.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007753
BCCWJ-EEG
EEGThis dataset comprises EEG recordings from 41 Japanese native speakers reading newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution electrophysiological data acquired alongside fMRI and MEG from separate participant groups using identical stimuli. The dataset includes both raw and preprocessed data: raw data converted to FIF format, bandpass-filtered data (0.1–40 Hz), and fully preprocessed derivatives with ICA-cleaned, re-referenced, epoched, and downsampled signals suitable for event-related potential analyses.
- Participants
- 41
- Channels
- 64 (10-10)
- Size
- 88.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004117
Sternberg Working Memory
EEG…The task is a modified version of the classic Sternberg working memory…
- Participants
- 23
- Channels
- 69 (10-10)
- HED
- v8.0.0
- Size
- 5.80 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026