EEG and EMG Signals for Emotion Appraisal Research

Electroencephalography and facial electromyography signals were collected for a previous study on goal conduciveness and power appraisals. The data was reused and reprocessed for a subsequent publication in PLOS ONE. It originates from research by Kornelia Gentsch at the University of Geneva.

Use Cases

• Analyzing temporal dynamics of event-related potentials based on EEG signals.
• Investigating facial muscle activity patterns based on EMG signals.
• Modeling the relationship between appraisal checks and physiological responses based on the described experimental context.
• Replicating or extending the analysis of goal conduciveness and power appraisals mentioned in the referenced studies.

Strengths

• Data is directly linked to two peer-reviewed scientific publications, providing academic context.
• Includes a detailed documentation file (dataset-details.pdf) describing the data collection and pre-processing steps.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Geneva

Collection Method

Collected in a laboratory study on emotion-antecedent appraisal checks.