DAPPER — Dataset for Affective Processing in Real-World Environments

Citation: Shui, X., et al. (2021). Scientific Data, 8, 246.
DOI: 10.1038/s41597-021-00945-4
Access: Download from Scientific Data
Tier: 2

Overview

Comprehensive multimodal dataset studying emotional experiences in real-world settings. 142 participants, 88 with physiological recordings over 5 consecutive days.

Signals

• Empatica E4 wristband
• EDA, BVP, ACC, TEMP
• Smartphone surveys (ecological momentary assessment)

Labels

• Self-reported emotional experiences
• Arousal and valence ratings

Relevance

One of the largest real-world E4 datasets. Self-reported emotion labels can be mapped to arousal states relevant to pre-meltdown detection. 5-day continuous recordings per participant.