Harmonized Low-Cost Air Quality Sensor Measurements from US Networks

Ongoing data collection from the Berkeley Environmental Air-quality & CO2 Network (BEACO2N) and other US-based sensor networks, harmonized into a common framework. The dataset amalgamates measurements from 10 unique low-cost air quality sensor networks for open access. It is maintained by LARC_CLOUD as part of the Low-Cost Air Quality Sensor Harmonization Database.

Use Cases

• Validate satellite-derived pollutant concentrations using ground-level sensor measurements of pollutants like CO2.
• Assess sensor network performance and data quality using the embedded tier system and calibration quality flags.
• Analyze spatial and temporal trends in air pollutants by querying data based on location, date range, and specific pollutant.
• Compare calibration methodologies and data quality across 10 different US-based low-cost sensor networks.

Strengths

• Data from 10 unique US-based sensor networks is amalgamated.
• Includes a tiered data quality review system with calibration-based flags.
• Common data format with embedded metadata streamlines processing.

Limitations

• Geographic coverage is currently limited to the United States, introducing regional bias.
• Specific row counts, temporal coverage start date, and sensor density per network are unknown.
• Data quality is heterogeneous and dependent on each network's calibration efforts.

Provenance

Source

Berkeley Environmental Air-quality & CO2 Network (BEACO2N) and other contributing US sensor networks, aggregated by LARC_CLOUD.

Collection Method

Ground site data collected by low-cost sensor networks, reformatted and harmonized into a common framework with embedded metadata.

Time Range

Ongoing collection; specific start date and historical range are unknown.

Freshness

Data collection is described as ongoing, but specific update frequency is unknown.

Geography

United States (data from 10 US-based sensor networks).