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ChinaHighPM₁: Daily Seamless 1 km Ground-Level PM₁ Dataset for China (2000–Present)

<p>ChinaHighPM<sub>1</sub>&nbsp;is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.</p> <p>Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level PM<sub>1</sub>&nbsp;dataset for China&nbsp;<strong>from 2000 to the present</strong>. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.83, a root-mean-square error (RMSE) of 9.50 &micro;g m<sup>-3</sup>, and a mean absolute error (MAE) of 6.17 &micro;g m<sup>-3</sup>&nbsp;on a daily basis.</p> <p>If you use the ChinaHighPM<sub>1</sub> dataset in your scientific research, please cite the following reference (Wei et al., EST, 2019):</p> <ul> <li> <p>Wei, J., Li, Z., Guo, J., Sun, L., Huang, W., Xue, W., Fan, T., and Cribb, M.&nbsp;<a href="https://weijing-rs.github.io/publications/Wei_et_al-EST-2019.pdf">Satellite-derived 1-km-resolution PM<sub>1</sub>&nbsp;concentrations from 2014 to 2018 across China</a>.&nbsp;<em>Environmental Science &amp; Technology</em>, 2019, 53(22), 13265&ndash;13274. https://doi.org/10.1021/acs.est.9b03258</p> </li> </ul> <p><strong>More CHAP datasets for different air pollutants are available at: <a href="https://weijing-rs.github.io/product.html">https://weijing-rs.github.io/product.html</a></strong></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
0
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
November 11, 2019
License
cc-by-4.0
DOI
10.5281/zenodo.3538555

Scored with release 0.9.0

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