on004362
EEG Motor Movement/Imagery Dataset
EEG
Imported from OpenNeuro ds004362
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 99
- HED
- v8.1.0
- Size
- 11.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "surface EMG" · page 5 of 10 · ranked by relevance
-
- on006095
Mind in Motion Older Adults Walking Over Uneven Terrain
EEG…layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground…
- Participants
- 71
- Channels
- 120 (other)
- Citations
- 1
- Size
- 130 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004194
Visual ECoG dataset
ANAT iEEG…Patients were implanted with standard clinical surface (grid) and depth electrodes. Two…
- Participants
- 14
- Citations
- 9
- Size
- 57.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000233
BCI Competition 2020 Track 4 — Upper-limb grasping motor imagery
EEG Zarr verifiedBCIComp2020UpperLimb is a preprocessed EEG dataset from BCI Competition 2020 Track 4 containing motor imagery recordings of three grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. The dataset comprises 60-channel EEG data sampled at 250 Hz with 450 trials per subject (150 trials per session across 3 sessions), designed to evaluate session-to-session transfer learning in brain-computer interface applications. Data were preprocessed with 60 Hz notch filtering and cue-aligned epoching, with the 4-second motor imagery window extracted for analysis.
- Participants
- 14
- Channels
- 60 (10-10)
- Citations
- 73
- HED
- v8.4.0
- Size
- 2.76 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005540
EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
BEH EEGEmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.
- Participants
- 60
- Channels
- 64
- Citations
- 2
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000171
BNCI 2014-002 Motor Imagery dataset
EEG Zarr verifiedThe BNCI 2014-002 Motor Imagery dataset comprises EEG recordings from 14 healthy subjects performing two-class motor imagery tasks (right hand and feet imagination) in a cue-guided Graz-BCI paradigm. Data were acquired at 512 Hz using 15 EEG channels with online Butterworth filtering and Laplacian montage, yielding 160 trials per subject with continuous visual feedback. This minimally preprocessed dataset has been benchmarked for brain-computer interface applications using machine learning classifiers including random forests and regularized linear discriminant analysis.
- Participants
- 14
- Channels
- 15 (other)
- Citations
- 89
- HED
- v8.4.0
- Size
- 1.37 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on005292
142 by Biosemi
EEGThis dataset comprises EEG recordings from 142 participants undergoing laser-evoked pain stimulation with concurrent pain intensity ratings. Participants received fixed-intensity nociceptive stimuli at two levels (low and high pain) across three blocks of 10 stimuli each, with pain ratings collected on a 0-10 scale after each trial. The dataset provides neurophysiological and behavioral measures of pain perception suitable for investigating the neural correlates of pain processing.
- Participants
- 142
- Channels
- 64 (10-10)
- Size
- 116 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004370
PRIOS
iEEG…We note that this surface based transformation distorts the dimensions of the…
- Participants
- 7
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000154
on001787
EEG- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003458
EEG: Three armed bandit gambling task
EEG…I also collected Corrugator EMG (may be labeled EKG) and Skin Conductance…
- Participants
- 23
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 4.72 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026