Manually Labelled Aerosol Typing from the Multiwavelength Raman Lidar MULHACEN at ACTRIS/EARLINET UGR Station for Machine Learning Applications

This dataset contains vertically resolved atmospheric aerosol properties derived from the MULHACEN multiwavelength Raman lidar at the University of Granada (UGR) station, which belongs to ACTRIS/EARLINET. The file represents the manual labelling and imputed version of the dataset, prepared for machine learning (ML) applications for the aerosol typing task. This dataset is part of a study published in Atmospheric Chemistry and Physics (ACP) of Copernicus: https://doi.org/10.5194/acp-25-12549-2025.