Dataset for "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments"

The dataset contains the data used in the article "Improving data quality of low-cost light-scattering PM sensors: Towards automatic air quality monitoring in urban environments".

A low-cost monitoring system composed of 14 monitoring stations was positioned at the official monitoring station of Torino Rubino in the city of Turin (Italy). The official station is managed by the environmental agency ARPA Piemonte.

Each low-cost station contains four low-cost light-scattering PM sensors (Honeywell HPMA115S0-XXX), one temperature and relative humidity sensor (DHT22), and one atmospheric pressure sensor (BME/BMP280).
The sampling time of the PM sensors was set to one second, while the other sensors generated measurements every 3-4 seconds.

The official monitoring station uses both a gravimetric and a beta attenuation instrument for measuring PM.

The data contained in this dataset was collected from October 2020 to November 2021. It contains the PM2.5, relative humidity, and temperature measurements of the low-cost monitoring system and the official measurements of the beta attenuation device.

Measurements of low-cost sensors are expressed in UTC, while official measurements are expressed in UTC+1.

Official PM measurements can be also found at https://aria.ambiente.piemonte.it/qualita-aria/dati.