FAIRUrbTemp: Hourly Temperature Data for 9 Cities

FAIRUrbTemp curated subset for teaching provides hourly temperature data for 9 cities and metadata for 12 cities. The dataset is hosted on Kaggle. The specific source, collection method, and temporal coverage are not detailed in the provided input.

Use Cases

• Teaching time-series analysis based on hourly temperature readings
• Comparing urban temperature patterns across different cities based on the provided metadata
• Demonstrating data cleaning and visualization techniques for environmental data

Strengths

• Contains data for 9 distinct cities, enabling multi-location analysis
• Includes metadata for 12 cities, which may provide contextual information

Limitations

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

Provenance

Geography

Likely covers 9 to 12 cities, but specific locations are not named in the input.