on006136
OWM-Dataset
iEEG
…a load-3 object working memory task. Please see the associated publication…
- Participants
- 13
- Size
- 286 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "verbal memory" · page 8 of 10 · ranked by relevance
-
- on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task
EEGThis dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
- Participants
- 7
- Channels
- 64 (10-10)
- Size
- 12.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000113
2020 BCI competition, track 3
EEG- Participants
- 15
- Channels
- 64 (10-10)
- Size
- 585 MB
- 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
- on003574
Reward biases spontaneous neural reactivation during sleep
ANAT EEG FUNC…Finally, a memory test was performed the next day on the 2…
- Participants
- 18
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Participants
- 23
- Channels
- 62 (10-05)
- Citations
- 98
- HED
- v8.4.0
- Size
- 60.8 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEGNeuroMorph is a high-temporal resolution magnetoencephalography (MEG) dataset comprising recordings from 24 subjects totaling over 17 hours of data acquired using a KIT/Yokogawa system with 208 magnetometer channels. The dataset is designed to support morpheme-based linguistic analysis and investigation of language and cognitive processes through visual presentation paradigms, providing a resource for studying neural mechanisms of language processing at fine temporal resolution.
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005095
STERNBERG DIFFICULT
EEG[
- Size
- 14.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006648
Poetry Assessment EEG Dataset 1
EEGThis dataset comprises 64-channel EEG recordings and behavioral ratings from 47 participants who read and evaluated 210 short English-language texts (70 Haiku with nature themes, 70 Senryu with emotion themes, and 70 non-poetic control texts) while rating them on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. This dataset represents the first part of a 51-participant study; it contains data from 47 participants whose continuous EEG recordings passed technical validation and were used in primary analyses. The companion dataset (Poetry Assessment EEG Dataset 2) includes the remaining 4 participants whose EEG recordings were excluded from primary analyses due to session interruptions and concatenation during preprocessing. The study investigates neural correlates of poetic language processing and aesthetic cognition. Complementary psychometric assessments including mood, personality traits, imagery vividness, mindfulness, and aesthetic responsiveness are included. Resting-state EEG was recorded at the beginning and end of each session.
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005857
ltpDelayRepFRReadOnly
BEH EEG[
- Size
- 284 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026