81,846 sets of indoor climatic observations paired with subjective human evaluations of thermal comfort. The records aggregate field study data from multiple global locations, linking physical environmental measurements to occupant feedback.
Use Cases
- Train regression models to predict thermal sensation votes based on indoor climatic observations
- Perform cross-climatic analysis of human thermal preference using the subjective evaluation records
- Evaluate the effectiveness of existing thermal comfort indices against the 81,846 sets of real-world observations
Strengths
- 81,846 sets of paired climatic and subjective data points
- Aggregates field study observations from multiple international research groups
- Contains subjective evaluations of thermal comfort alongside objective indoor climatic measurements
- Standardized data format for cross-study comparison of indoor environmental quality