Dataset of Indoor Air Pollutant Concentration using Low Cost IOT Based System
Indoor air pollutant concentration data is collected for all the seasons in Pune city, India, from internet of things-based system built using low cost sensors. The raw data contains 1,39,448 records collected from Nov 2020 to Dec 2021. Air pollutant PM2.5 (Particulate Matter) is measured using GP2Y...
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Format: | Dataset |
Sprache: | eng |
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Zusammenfassung: | Indoor air pollutant concentration data is collected for all the seasons in Pune city, India, from internet of things-based system built using low cost sensors. The raw data contains 1,39,448 records collected from Nov 2020 to Dec 2021. Air pollutant PM2.5 (Particulate Matter) is measured using GP2Y1010AU0F Dust Smoke Particle Sensor, NO2 (Nitrogen Dioxide), NH3 (Ammonia) and CO (Carbon Monoxide) pollutant measured using MICS-6814 sensor. CO2 (Carbon Dioxide) and TVOC (Total Volatile Organic Compounds) measurement is done using CCS811 sensor, Ozone (O3) measured using MQ131 Semiconductor Sensor. Temperature, Humidity measured using BME 280 sensor. Measurement units of NH3 is PPM, NO2 in PPM, CO in PPM, PM2.5 in ug/m3, Temperature in Celsius, Pressure in hPa, Altitude in ft, Humidity in RH, CO2 in PPM, TVOC in PPB, Ozone in PPB. This data can be used for study and evaluations of prediction models and low-cost sensor data. It can be used for the study of the pollutant’s patterns in COVID-19 pandemic. It will help policymakers to develop policies to monitor air pollution impact. |
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DOI: | 10.17632/7bsc526pzn.1 |