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EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding

EmoEEG-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: 3
Size: 70.4 GB
Version: v1.0.0
Updated: Aug 19, 2026

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