NASA Low-Cost Sensor AQ Project: Harmonized US Air Quality Data from 10 Networks

A harmonized collection of ground-based air quality measurements from 10 unique US-based low-cost sensor networks, including AirQino, BEACO2N, and HAQ Pods. Data is reformatted into a common framework with embedded metadata and quality flags to streamline processing. The project, hosted on AWS Open Data, is ongoing and actively accepting new sensor network submissions.

Use Cases

• Validate satellite-derived air pollution estimates based on harmonized ground sensor measurements.
• Assess model performance for atmospheric chemistry using quality-flagged sensor data.
• Compare air quality trends across different US regions based on data from multiple sensor networks.
• Select sensor data for specific research applications based on the described tiered quality system and calibration criteria.

Strengths

• Data from 10 unique US-based sensor networks provides multi-source coverage.
• A tiered quality system with data quality flags helps users assess sensor network calibration and data suitability.
• Data is reformatted into a common data format with embedded metadata to streamline processing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The last update date is unknown; freshness is unverified.

Provenance

Source

NASA Low-Cost Sensor AQ Project, aggregating data from networks like AirQino, BEACO2N, and HAQ Pods.

Collection Method

Measurements collected by ground-based low-cost sensor networks, harmonized and reformatted into a common framework.

Time Range

Temporal coverage is not specified, but data collection is ongoing.

Freshness

Data collection is described as ongoing, but a specific last update date is not provided.

Geography

United States, based on the description of 10 US-based sensor networks.