Long-Term Outdoor Comparison of Low-Cost Particulate Matter Sensors in Southampton, UK
by Florentin M. J. Bulot / University of Southampton
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Description
Exposure to ambient particulate matter is associated with up to 8.9 million deaths per year worldwide. This dataset contains minute-averaged sensor readings from a year-long field study comparing four low-cost PM sensor models deployed at two schools in Southampton, UK, from March 2018 to February 2019. It was created by Florentin M. J. Bulot of the University of Southampton and includes sensor data, meteorological wind data, and correlation analysis files.
Use Cases
Evaluating sensor reliability based on correlation with a reference station (0.61<r<0.88).
Analyzing how sensor performance varies with different pollution sources and background concentrations.
Tracking short-lived pollution events, especially in conjunction with provided wind data.
Assessing the impact of environmental factors like relative humidity and temperature on sensor readings.
Strengths
Data spans approximately one year, from 13 March 2018 to 28 February 2019.
Includes correlation analysis with a background reference station showing moderate to good performance.
Contains data from four different low-cost PM sensor models for comparison.
Integrates meteorological wind data from a local weather station.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data is limited to two specific locations in Southampton, UK.
Provenance
Source
University of Southampton
Collection Method
Sensor boxes were constructed using four low-cost PM micro-sensor models and deployed at two schools.