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Dataset of emotion recognition using validated video stimuli with large-scale behavioral survey and MEG recordings
This dataset comprises magnetoencephalography (MEG) recordings from 23 participants viewing 40 validated emotional video stimuli, complemented by a large-scale behavioral survey (500 participants) and head digitization data. The dataset provides multi-faceted emotion annotations including Self-Assessment Manikin (SAM) ratings for valence and arousal, discrete emotion categories (PrEmo), and temporal scene selections, enabling investigation of emotion-specific neural signal patterns for brain signal-based emotion recognition research.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.