Urban Heat Stress Sensor Bias Measurements from Eight Calibration Experiments

Sarah Berk's dataset accompanies a 2025 manuscript on biases in low-cost urban heat stress sensors. It contains air temperature and humidity measurements from eight distinct calibration experiments (a-h) with 10-minute resolution. The data includes derived heat stress indices and ERA5 reanalysis radiation data.

Use Cases

• Quantifying bias in temperature and humidity readings based on sensor shielding conditions described in the calibration experiments.
• Comparing heat index and humidex calculations derived from the sensor measurements.
• Analyzing the impact of sensor placement (e.g., rooftop vs. lawn, near HVAC) on heat stress assessments.
• Validating low-cost sensor data against reanalysis radiation data from ERA5.

Strengths

• Includes eight distinct calibration experiments (a-h) with detailed setup descriptions.
• Contains derived heat stress metrics (Heat Index, Humidex) and matched ERA5 reanalysis radiation data.
• Time resolution is explicitly stated as 10 minutes.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

ODUM Harvested Dataverse, authored by Sarah Berk.

Collection Method

Measurements from low-cost air temperature and humidity sensors deployed in different experimental setups.

Time Range

null

Freshness

Last updated 2026-04-27 03:11:22; freshness should be verified.

Geography

Experiments include urban lawn, rooftop, and airport locations; specific city is not stated.