Indoor Air Quality Dataset ( PM2.5, PM10, CO2, TEMPERATURE, HUMIDITY)

This indoor dataset was collected over a continuous period of six days in a laboratory workplace, with measurements taken every 15 seconds. The setup uses a NodeMCU microcontroller to interface with three sensors: PM Nova (SDS011) for particulate matter (PM2.5 and PM10), MQ135 for carbon dioxide (CO2) levels, and DHT22 for temperature and humidity readings.Each entry in the dataset includes:Timestamp: Date and time of the measurement taken at 30-second intervals.PM2.5: Fine particulate matter concentration measured in micrograms per cubic meter (µg/m³).PM10: Coarse particulate matter concentration in µg/m³.CO2 (PPM): Carbon dioxide level measured in parts per million (PPM).Temperature (°C): Ambient temperature in degrees Celsius.Humidity (%): Relative humidity percentage.This dataset captures indoor air quality dynamics, providing insight into environmental conditions such as variations in particulate matter, CO2 concentration, temperature, and humidity, which can be crucial for monitoring indoor air quality and assessing health and safety standards in workplaces.