Data of paper: Machine Learning-Driven Identification of Factors Governing Secondary Organic Aerosol Formation during Autumn in Beijing
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The data are time series of non-refractory submicron aerosol components (NR-PM1: OA, nitrate, sulfate, ammonium, chloride), black carbon (BC), surface area concentration (Sa), gaseous species (nitrogen oxides, sulfur dioxide, carbon monoxide, ozone, ammonia, nitric acid, nitryl chlorid and so on.
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Zenodo创建时间：
2025-09-29
