Evidence map›Paper›PMID 42248941›Full record

ArticleScientific data2026

A dataset on morphology and composition of saltation-sandblasting dust particles from major Chinese source regions.

Long Zhang, Tafeng Hu, Yingpan Song, Youjia Yuan, Feng Wu, Yu Huang, Daizhou Zhang, Junji Cao

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Long ZhangState Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
Tafeng HuState Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
Yingpan SongState Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
Youjia YuanInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Feng WuState Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China. kurt_wf@ieecas.cn.
Yu HuangState Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China. huangyu@ieecas.cn.
Daizhou ZhangFaculty of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto, 862-8502, Japan.
Junji CaoInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China. jjcao@mail.iap.ac.cn.

Funding

National Natural Science Foundation of China 42030511
6 · The paper itself

Abstract

Large quantities of dust particles are emitted from the arid and semi-arid regions of China, influencing atmospheric processes and climate from regional to global scales. The morphology and composition of dust particles govern their optical properties, reactivity, and transport behavior; thus, accurate single-particle information is essential for improving model representations and understanding their environmental effects. Here, we present the Dust Morphology and Composition from China's Source Regions (DMC-China) dataset. The dataset includes 541,074 individual dust particles generated via saltation-sandblasting processes from 55 surface soils collected from major dust source regions. The samples represent surface cover types, including gobi (gravel/desert pavement), sand dune, saline, desertified grassland and alluvial sediment surfaces. The particles were analyzed using computer-controlled scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (CCSEM-EDX), and strict quality control procedures ensured consistency and reliability across samples. Provided in accessible XLSX format with detailed metadata, DMC-China delivers comprehensive source-region profiles of nascent dust particle size, shape, and composition, offering a valuable foundation for studies of dust emission, long-range transport, and dust-related effects on climate and the environment.

Identifiers

PMID42248941
PMCPMC13558647

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