AIR POLLUTION CONCENTRATION
This data repository comprises three distinct datasets tailored for different predictive modeling tasks. The first dataset is a synthetic dataset designed to simulate multivariate time series patterns, incorporating both linear and non-linear dependencies among input and target features. The second dataset, the Beijing Air Quality PM2.5 dataset, consists of PM2.5 measurements alongside meteorological data like temperature, humidity, and wind speed, with the objective of predicting PM2.5 concentrations.
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The Environmental Drones (E-drones) are programmed autonomous drones used for pollution monitoring (CH4, CO2, CO, O3, P.M.2.5, P.M.10, NO2, NH3, AND SO2), detection and abatement at altitudes above ground level in a specific geographic region.
Environmental Drones produce Air Quality Index (AQI) maps of covered regions for environmental data monitoring and long-term analysis.
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