11 years of daily weather data for Houston. The dataset includes 44 engineered features along with anomaly flags. It is described as being prepared for machine learning tasks.
Use Cases
- Train time-series forecasting models based on 11 years of daily weather data.
- Detect and analyze weather anomalies based on the included anomaly flags.
- Benchmark feature engineering techniques for meteorological data based on the 44 engineered features.
Strengths
- Covers 11 consecutive years of daily observations.
- Includes 44 engineered features beyond raw measurements.
- Contains pre-identified anomalies and flags.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Time Range
- 2015–2026
- Geography
- Houston