on004398
planmemreplay
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004398-blue…
- Participants
- 1
- Citations
- 2
- Size
- 1.28 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
92 results for "Memory Consolidation" · page 8 of 10 · ranked by relevance
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- on006466
HeartBEAM: Older Adult Resting State and Auditory Oddball Task EEG Data
EEG…Heart rate and breathing effects on attention and memory (HeartBEAM): Study protocol…
- Participants
- 66
- Citations
- 2
- Size
- 117 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006465
3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt, Silent-intended, and Imagined Speech
EEG3M-CPSEED is an EEG dataset capturing brain activity from 20 healthy native Chinese speakers performing overt, silent-intended, and imagined speech production of Chinese Pinyin syllables. The dataset targets speech neurophysiology research, particularly the neural correlates of pinyin articulation across speech modes, and supports transfer learning studies for other alphabetic languages.
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 3
- Size
- 15.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005752
The NIMH Healthy Research Volunteer Dataset
ANAT DWI FMAP FUNC MEG PERF…memory (Picture Sequence Memory Task), and working memory (List Sorting Working Memory…
- Participants
- 251
- Citations
- 29
- Size
- 633 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEG Zarr verifiedThis dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 4.81 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003670
Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation - BIDS
EEGThis dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.
- Participants
- 25
- Channels
- 35 (10-10)
- Citations
- 2
- Size
- 97.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEH…watched a video. - “Memory” question type is a memory testing question that…
- Size
- 880 MB
- Version
- v1.0.0
- 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
- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEG…watched a video. - “Memory” question type is a memory testing question that…
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 7.44 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007353
HAD-MEEG
ANAT EEG MEGHAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
- Participants
- 32
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026