Processed data and Python code for: Impact of Biomass Burning on Fine Aerosol Chemistry and Aging Processes in the Indo-Gangetic Plain

This Zenodo record contains the processed data and Python code used in the manuscript titled “Impact of Biomass Burning on Fine Aerosol Chemistry and Aging Processes in the Indo-Gangetic Plain.” The dataset supports the analysis of fine aerosol chemistry, biomass-burning influence, aerosol aging, and secondary aerosol enhancement during a severe post-monsoon haze episode over Delhi, India, during September–December 2024. The analysis focuses on three study periods: a pre-event period from 20–30 September 2024, a biomass-burning event period from 12–19 November 2024, and a post-event period from 15–20 December 2024. The deposited files include QA-screened processed HR-ToF-AMS time-series data, elemental-ratio data, CWT/PSCF summary diagnostics, and a Python script used to reproduce the main period-wise statistics, PMF factor fractions, and secondary-aerosol mass-balance estimates reported in the manuscript. The main processed workbook, NRPM2_5_Biomass_JGRA_2025.xlsx, contains non-refractory PM₂.₅ species, biomass-burning tracer ions, and PMF-resolved organic-aerosol factors. The elemental-ratio workbook, Biomass_Elemental_Ratios_JGRA_2025.xlsx, contains O:C, H:C, N:C, S:C, OSc, and OM/OC values used for the revised elemental-ratio interpretation. Elemental-ratio table statistics were calculated from raw QA-screened 1-min data; 15-min rolling averaging was used only for visualisation in time-series and diurnal plots, not for period statistics. This record contains processed research data only. Raw HR-ToF-AMS instrument files, proprietary Igor/SQUIRREL/PIKA working files, and licensed PET/PMF working files are not redistributed here.