Environmental Impact Dataset of PM10 Concentration and Signal Strength

This dataset captures 30 days of environmental data collected from densely populated urban and suburban areas in Thailand. It includes detailed measurements of PM10 air pollutant concentrations (µg/m³) alongside radio signal strength (RSSI in dBm) at 15-minute intervals throughout each day. Supplementary data on temperature (°C), humidity (%), wind speed (km/h), and other network parameters are also provided, enabling an in-depth analysis of how environmental and atmospheric factors interact with signal quality. Data attributes: ü Timestamp: Date and time of data collection at 15-minute intervals. ü Location: Type of area, categorized as urban or suburban. ü Latitude and Longitude: Geospatial coordinates of measurement points. ü PM10 Values (µg/m³): Particulate matter concentrations based on AQI standards. ü AQI Category: Air Quality Index categorization (e.g., Severe, Very Poor). ü Temperature (°C): Recorded ambient temperature. ü Humidity (%): Relative humidity percentage. ü Wind Speed (km/h): Wind speed at the time of data collection. ü RSSI (dBm): Received signal strength indicator in dBm, a key feature for analyzing signal attenuation. ü Transmission Power (dBm): Power of signal transmission. ü Frequency Band (MHz): Network frequency used during data recording. ü Signal Strength: Categorical signal quality (Excellent, Fair). This dataset is valuable for research on the effects of air pollution on wireless signal propagation, and it offers a basis for further sensitivity analysis related to signal degradation under various environmental conditions.