on004348
Ear-EEG Sleep Monitoring 2017 (EESM17)
EEG Zarr
…including EEG, EOG and chin EMG combined with 14 ear-EEG electrodes…
- Participants
- 9
- Channels
- 34 (other)
- Citations
- 96
- Size
- 12.3 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
Discover datasets
-
- on004819
Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain
iEEG ZarrIntracranial EEG (iEEG) recordings used to evaluate a flexible, scalable, high-channel-count micro-stereo-electrode for recording neural activity in the brain. The dataset includes raw and preprocessed (epoched) recordings from multiple species, including human patients, non-human primates, pigs and rodents. Direct electrical stimulation was used to examine the effects of stimulation on brain activity. Data are organized in iEEG-BIDS format, with binary files and channel maps in the derivatives folder.
- Participants
- 1
- Citations
- 3
- Size
- 1.36 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- nm000162
BNCI 2025-001 Motor Kinematics Reaching dataset
EEG Zarr…Bad trials rejected based on amplitude >200 µV or standard deviation >5SD…
- Participants
- 20
- Channels
- 67 (10-05)
- Citations
- 4
- HED
- v8.4.0
- Size
- 15.4 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006840
IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset
EEG ZarrIACKD is an EEG and hand kinematics dataset designed to study conflict between motor intention and executed action. It pairs EEG recordings with hand movement kinematics, and is organized in BIDS format with BrainVision EEG files. Task presentation was implemented in PsychoPy.
- Participants
- 15
- Channels
- 26 (10-10)
- Citations
- 2
- Size
- 7.42 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on005530
Depotentiation of emotional reactivity using TMR during REM sleep
ANAT BEH EEG FMAP FUNC Zarr…C4, O1 and O2), 2 EMG channels and 2 EOG channels. All…
- Participants
- 18
- Channels
- 10 (10-20)
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000171
BNCI 2014-002 Motor Imagery dataset
EEG ZarrElectroencephalographic recordings from 14 healthy participants performing a cue-guided, two-class motor imagery task (right hand versus feet) in a Graz-BCI paradigm with continuous visual feedback. Each participant completed a single session of 8 runs and 160 trials, recorded with 15 EEG channels at 512 Hz. The dataset was used to compare random forest and regularized LDA classifiers for sensorimotor rhythm brain-computer interfaces.
- Participants
- 14
- Channels
- 15 (other)
- HED
- v8.4.0
- Size
- 1.37 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026
- nm000411
BrainQuake example SEEG data: ictal and interictal stereo-EEG from 8 epilepsy patients (Tsinghua Yuquan Hospital)
iEEG…The interictal files also contain `POL ECG`, `POL EMG1`, `POL EMG2` (typed…
- Participants
- 8
- Size
- 26.7 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on004511
Deception_data
BEH EEG Zarr…electrodermal activity (*EDA*) and electromyography (*EMG*), were obtained at a sampling frequency…
- Participants
- 45
- Channels
- 139 (other)
- Size
- 202 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on005795
MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
ANAT EEG FUNC…The EEG files contain 63 head channels, ECG, EOG, facial EMG and…
- Participants
- 34
- Channels
- 72 (10-10)
- Size
- 6.43 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000167
Motor imagery dataset from Ma et al. 2020
EEG ZarrEEG recordings from 25 healthy, BCI-naive right-handed participants performing motor imagery of two joints of the same limb (right hand and right elbow). Each participant completed 15 sessions over 3 days, giving 600 trials with 62-channel EEG sampled at 1000 Hz plus EOG. The dataset supports research on decoding fine-grained motor imagery within the same limb for motor rehabilitation and prosthetic control BCIs.
- Participants
- 25
- Channels
- 62 (10-10)
- Citations
- 51
- HED
- v8.4.0
- Size
- 53.8 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026