100 AQMesh sensor pods form a stationary network measuring air pollutants in near real-time. The pods collect data on nitrogen dioxide (NO₂), nitric oxide (NO), particulate matter (PM₂.₅, PM10), carbon dioxide (CO₂), and in some locations ozone (O3), along with temperature, humidity, and air pressure. The data is collected by the Greater London Authority, with the last metadata update recorded on 2026-03-25.
Use Cases
- Modeling hyperlocal pollution exposure based on near real-time sensor readings.
- Analyzing correlations between different pollutants like NO₂ and PM₂.₅ across London.
- Calibrating dispersion models using temperature and humidity data for environmental correction.
- Assessing temporal pollution patterns using data averaged at 1-15 minute intervals.
Strengths
- Network of 100 stationary sensor pods provides spatial coverage.
- Measures multiple pollutants (NO₂, NO, PM₂.₅, PM10, CO₂, O3) and environmental variables.
- Data is collected continuously at 10-second intervals and averaged for near real-time analysis.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the London-focused uk_data source.
Provenance
- Source
- Greater London Authority
- Collection Method
- Data collected continuously by a network of stationary AQMesh sensor pods.
- Freshness
- Last updated 2026-03-25 12:02:15.204962; freshness should be verified.
- Geography
- London, United Kingdom