nm000109
EEG During Mental Arithmetic Tasks
EEG Zarr verified
- Participants
- 36
- Channels
- 20 (10-20)
- Citations
- 88
- Size
- 174 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
60 results for "Polysomnography" · page 4 of 6 · ranked by relevance
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- on006576
The role of REM sleep in neural differentiation of memories in the hippocampus
ANAT EEG FMAP FUNCThis multimodal dataset contains fMRI and EEG data from 69 participants examining the role of REM sleep in the neural differentiation of hippocampal memory representations. Each participant completed three fMRI scan sessions and one EEG session, during which either nap-based sleep or quiet wakefulness data were recorded depending on experimental condition. The dataset supports investigation of how sleep-related neural processes contribute to memory consolidation and differentiation in the hippocampus.
- Participants
- 69
- Channels
- 64 (other)
- Citations
- 2
- Size
- 650 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000214
c-VEP dataset from Thielen et al. (2021)
EEGA code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements, ultimately achieving zero-training performance through neural encoding models while maintaining classification accuracy comparable to traditional event-related potential methods.
- Participants
- 30
- Channels
- 8 (10-10)
- Citations
- 66
- HED
- v8.4.0
- Size
- 3.16 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
- Participants
- 23
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 6.12 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000196
c-VEP dataset from Thielen et al. (2015)
EEGThis dataset comprises preprocessed EEG recordings from 12 healthy participants performing a brain-computer interface task based on broad-band visually evoked potentials (BBVEPs). Participants controlled a 6×6 matrix speller by attending to target symbols while cells were stimulated with pseudo-random Gold code sequences. The study demonstrates a novel reconvolution approach for template generation that achieves 86% online accuracy and an information transfer rate of 48 bits per minute.
- Participants
- 12
- Channels
- 64 (10-10)
- Citations
- 72
- HED
- v8.4.0
- Size
- 11.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on003775
SRM Resting-state EEG
EEGThis dataset comprises resting-state electroencephalography (EEG) recordings from 111 healthy control subjects acquired using a BioSemi ActiveTwo system with 64 electrodes. Subjects were recorded during four minutes of continuous EEG with eyes closed, with some subjects undergoing repeat recordings at a later timepoint. The dataset includes both raw EEG data rereferenced to average reference and a derived cleaned dataset preprocessed with an automated pipeline, along with demographic and cognitive test data.
- Participants
- 111
- Channels
- 64 (10-10)
- Citations
- 35
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002778
UC San Diego Resting State EEG Data from Patients with Parkinson's Disease
BEH EEGImported from OpenNeuro ds002778
- Participants
- 31
- Channels
- 40 (10-10)
- Citations
- 215
- Size
- 545 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000114
MDD Patients and Healthy Controls EEG Data
EEG Zarr verified- Participants
- 64
- Channels
- 22 (10-20)
- Citations
- 163
- Size
- 812 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005127
AMRI 16-N-0031 sleep1
ANAT EEG FUNCAn overnight EEG-fMRI study conducted at the Advanced MRI section of NINDS/NIH, examining sleep physiology through simultaneous electroencephalography and functional magnetic resonance imaging. This pilot study involved multiple subjects who underwent two consecutive nights of approximately 8-hour scanning sessions with randomized arousal stimuli administered 8 times per night. This pilot investigation (sleep1) established protocols later expanded in a larger follow-up study (sleep2).
- Participants
- 16
- Channels
- 63
- Size
- 2.20 TB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEGA large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
- Participants
- 62
- Channels
- 60 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 722 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026