JinanHighPM2.5: Big data-driven 500m and 1h PM2.5 dataset for urban Jinan (2019-2021)

Welcome to our dataset published on Zenodo! We are delighted to share this meticulously prepared data product with you.

JinanHighPM_2.5 is a high-quality PM_2.5 concentration dataset generated using machine learning techniques to integrate multi-source big data such as mobile monitoring, micro-station measurements, and so on. This high spatiotemporal resolution dataset has a spatial resolution of ~500m and a temporal resolution of 1h, covering an area of 900km² in Jinan (the urban area is included), Shandong Province, China from January 2019 to September 2021. The dataset has undergone rigorous processing and verification to ensure the accuracy and reliability of the data. Whether for researchers conducting in-depth studies or professionals using it for practical application analysis, this dataset can provide robust data support.

We hope that you will have a smooth and enjoyable experience when using this dataset for your scientific research work, achieve your desired research results, and continuously make new discoveries and breakthroughs on the path of exploring knowledge.   

If our work has been helpful to your research, project, or other related endeavors, we kindly request that you cite our article in your corresponding achievements. Your citation is not only an acknowledgment of our efforts but also contributes to promoting academic exchanges and development in the relevant field. Thank you again for your attention to and use of this dataset!

• Li, T., Huang, X., Zhang, Q., Wang, X., Wang, X., Zhu, A., Wei, Z., Wang, X., Wang, H., Chen, J., Li, M., Wang, Q., and Wang, W. Machine learning-guided integration of fixed and mobile sensors for high resolution urban PM_2.5 mapping. Npj Clim. Atmospheric Sci (2025). 

Thank you so much! Wishing you success in your research and a happy life!