Low cost air quality sensors “PurpleAir” calibration and inter-calibration dataset in the context of Beirut, Lebanon

Published: 17 February 2022| Version 2 | DOI: 10.17632/rh2z7s7btj.2
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Description

PurpleAir sensors are low cost commercially available PM2.5 and PM10 sensors. All data is collected at the campus of the American University of Beirut in Beirut, Lebanon All data is reported on an hourly interval. The purpose of the collected data is twofold: (1) To assess the accuracy of the low-cost PurpleAir sensor against a high-fidelity Met One EBAM-PLUS instrument and (2) to assess the inter-sensor variability between multiple PurpleAir sensors installed at a single location. ------------------ SingleSensor_CalibData.csv: Hourly data from low cost PM2.5 and PM10 PurpleAir sensors and high-fidelity Met One EBAM-PLUS instruments from date: July 1, 2020 to September 30, 2020. Columns: (A) Time_Beirut: Date and Time (Local Beirut Time) (B) PM2.5 ConHR (ug/m3): PM2.5 hourly concentration reading from MET ONE EBAM PLUS instrument (C) PM10 ConHR (ug/m3): PM10 hourly concentration reading from MET ONE EBAM PLUS instrument (D) meanAB_2_5: PM2.5 reading (ug/m3) of PurpleAir sensor. The value is the average of both channels A and B from the sensor. (E) meanAB_10: PM10 reading (ug/m3) of PurpleAir sensor. The value is the average of both channels A and B from the sensor. ------------------ MultiSensor_IntercalibrationData.csv: Hourly data from thirteen PurpleAir sensors. Date range: June 28, 2020 to July 11, 2020 Columns: (A): Time: Date and Time (B) - (AS): PurpleAir sensor data for PM2.5 and PM10 in units (ug/m3). Each individual sensor is identified by the prefix "S_X" where "X" represents the channel number. Each sensor has 4 columns: PM2.5A, PM2.5B, PM10A, PM10B where 'A' and 'B' represent the individual channels in each sensor.

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Air Pollution, Atmospheric Aerosols, Sensor Calibration

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