on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEG
…Researchers collected high-resolution EEG signals at a 1000 Hz sampling rate…
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "physiological signals" · page 9 of 10 · ranked by relevance
-
- on003810
Motor Imagery vs Rest - Low-Cost EEG System
EEG…The EMG signals of the dominant hand was adquired for protocol control…
- Participants
- 10
- Channels
- 15 (10-20)
- Citations
- 66
- Size
- 69.3 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000158
Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery)
EEG Zarr verifiedThis dataset comprises electroencephalography (EEG) recordings from 50 acute stroke patients (1-30 days post-stroke) performing motor imagery tasks of left- and right-handed hand-grip movements. Recorded using a wireless 29-channel EEG system at 500 Hz, the dataset includes raw and preprocessed data, representing the first open resource addressing left- and right-handed motor imagery in the acute stroke population. The dataset supports brain-computer interface (BCI) algorithm development and clinical rehabilitation applications.
- Participants
- 50
- Channels
- 29 (10-10)
- Citations
- 78
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004504
A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
EEG…The preprocessing pipeline of the EEG signals is as follows. First, a…
- Participants
- 88
- Channels
- 19 (10-20)
- Citations
- 232
- Size
- 5.38 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
EEG…In addition, information about the psychological and physiological conditions of BCI users…
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 99
- HED
- v8.4.0
- Size
- 121 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- on003190
Assesment of the visual stimuli properties in P300 paradigm
EEGThis dataset comprises 382 electroencephalographic recordings from 19 participants performing a P300 visual oddball paradigm with systematically varied stimulus properties. Participants completed three experimental sessions, each containing seven recordings with different numbers of visual stimuli (4-9) and flash types (standard flash or cartoon face overlay). EEG data were acquired from eight scalp electrodes at 256 Hz sampling rate, with detailed event markers encoding experimental phases and stimulus presentations.
- Participants
- 19
- Channels
- 9 (10-10)
- Citations
- 3
- Size
- 1.27 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on003392
NeuroSpin hMT+ Localizer DATA (MEG & aMRI)
ANAT MEG[
- Citations
- 37
- Size
- 2.11 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000346
CastillosCVEP100
EEGA 4-target, 2-class code-VEP brain-computer interface dataset from 12 healthy participants comparing burst c-VEP and m-sequence stimulation paradigms at two amplitude depths (100% and 40%). The study evaluates classification performance and user experience using 32-channel EEG recorded at 500 Hz. This derivative dataset is derived from the original Castillos et al. (2023) study and optimizes stimulus design for reactive BCI applications while maintaining visual comfort. CNN-based decoding achieved up to 95.6% accuracy (best-case scenario with 52.8 s of calibration data).
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026