Molecular-level Changes in Atmospheric Dissolved Organic Matter During Snowfall in A Heavy-industrial City of Northeastern China

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Zhen Mu, Hanxuan Wen, Yachen Wang, Ruitong Guo, Xue-Jing Li, Rui Shi, Tenglong Shi, Yue Zhou, Wei Pu, Jiajia Shan, Xue Wang, Yan Su
+1 more Xin Wang
DOI: 10.5281/zenodo.19046894
Cited by: 0

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Abstract

This dataset contains molecular-level mass spectrometric data of dissolved organic matter (DOM) in total suspended particles (TSP) collected before, during, and after a snowfall event in a heavy-industrial city in northeastern China. It includes assigned molecular formulas, m/z values, and relative abundances, and supports the analysis of snowfall-driven scavenging and post-snowfall molecular changes in atmospheric DOM.

Fields of Study & Subjects

Atmospheric chemistry and aerosols Toxic Organic Pollutants Impact Atmospheric aerosols and clouds

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 March 2026
Language
EN
Document type
Dataset