nm000146
Motor Imagery dataset from Weibo et al 2014
EEG
- Participants
- 10
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 1.60 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "EEG preprocessing" · page 7 of 10 · ranked by relevance
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- on006036
A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting 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)
- Size
- 2.11 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006317
Chisco-2.0
EEGChisco-2.0 is an imagined speech electroencephalography (EEG) dataset comprising raw neurophysiological recordings from two participants. The dataset contains EEG data in EDF format and represents a resource for investigating neural correlates of imagined speech production and related brain-computer interface applications.
- Participants
- 2
- Channels
- 124 (10-05)
- Size
- 52.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000221
Alphawaves dataset
EEG…10 ## Preprocessing - **Data state**: raw - **Preprocessing applied**: False ## Signal Processing - **Feature extraction…
- Participants
- 19
- HED
- v8.4.0
- Size
- 81.5 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007431
Diffuse predictions stabilize and reshape neural code during memory encoding
EEG…have any possible orientation.The preprocessing and analysis scripts can be found…
- Participants
- 47
- Channels
- 66 (10-10)
- Size
- 145 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007655
MorseEEG-ATP
BEH EEG…Raw EEG recordings in BrainVision format (`.vhdr`, `.vmrk`, `.eeg`) together with BIDS…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Jul 22, 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 from 60 participants exposed to video-induced and imagery-induced emotional stimuli across seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, and neutral). This dataset addresses the critical gap in cross-context emotion decoding by enabling investigation of how emotional neural responses generalize across different elicitation contexts, with demonstrated classification accuracies of 66.7% for binary emotion classification and 28.9% for seven-category emotion classification using machine learning approaches.
- Participants
- 60
- Channels
- 64
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006923
Dataset of Electroencephalograms of Juvenile Offenders
EEG…task-restingstate_desc-preprocessing_eeg.set` = Preprocessed EEG for **study group 1…
- Participants
- 140
- Channels
- 128 (other)
- Size
- 8.13 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG…preprocessed - **Preprocessing applied**: True - **Steps**: DC offset removal, 0.5 Hz high…
- Participants
- 14
- Channels
- 19 (10-20)
- Citations
- 9
- HED
- v8.4.0
- Size
- 571 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026