Preprints
https://doi.org/10.5194/essd-2026-206
https://doi.org/10.5194/essd-2026-206
16 Apr 2026
 | 16 Apr 2026
Status: this preprint is currently under review for the journal ESSD.

PlanetGSD 1.0: a cross-planetary grain-size distribution dataset from Earth, the Moon, and Mars

Jun Zhang and Yong Li

Abstract. Comparative studies of surface processes across planetary bodies are hindered by the lack of consistently parameterized, openly accessible soil data, especially the grain-size distribution (GSD) data. Here we present PlanetGSD 1.0, the first standardized and unified cross-planetary GSD database. It comprises 6,527 measurements from Earth (4,419 samples, 20 geomorphic settings), the Moon (379 samples, 8 missions), and Mars (1,729 rover-derived estimates, 4 landing areas), covering seven orders of magnitude in grain size (0.0001 – 600 mm). The traditional textural fractions have been transferred into a unique parameter set (μ, Dc, n) derived from the unified GSD (UGSD) function (median R2 = 0.988), with quality metrics, georeferenced metadata, site-level Weibull statistics, and open-source analysis codes. Technical validation confirms high fitting quality across all samples (97.8 % with R2 > 0.95) and robust inter-operator reproducibility for Martian image-derived measurements (coefficient of variation < 8.3 % for key parameters). The complete dataset is openly available on Figshare (Zhang, 2026) under CC BY 4.0 license. PlanetGSD 1.0 enables robust cross-planetary comparison of regolith properties, benchmarking of simulants, and data-driven landing site assessment, establishing a foundational resource for planetary science.

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Jun Zhang and Yong Li

Status: open (until 23 May 2026)

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Jun Zhang and Yong Li
Jun Zhang and Yong Li
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Latest update: 16 Apr 2026
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Short summary
PlanetGSD 1.0, the first standardized cross-planetary grain-size database, provides 6,527 harmonized measurements (Earth, Moon, Mars) via the Unified Grain Size Distribution (UGSD) function. Openly available at Figshare, it enables robust regolith comparison, simulant benchmarking, and landing site assessment.
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