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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESSDD</journal-id>
<journal-title-group>
<journal-title>Earth System Science Data Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESSDD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1866-3591</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/essd-2026-206</article-id>
<title-group>
<article-title>PlanetGSD 1.0: a cross-planetary grain-size distribution dataset from Earth, the Moon, and Mars</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Yong</given-names>
<ext-link>https://orcid.org/0000-0002-5680-3131</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Key Laboratory of Mountain Hazards and Engineering Resilience /Institute of Mountain Hazards  and Environment, Chinese Academy of Sciences, Chengdu 610213, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>State Key Laboratory of Hydroscience and Engineering; Department of Hydraulic Engineering,  Tsinghua University, Beijing 100084, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>48</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Jun Zhang</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-206/">This article is available from https://essd.copernicus.org/preprints/essd-2026-206/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-206/essd-2026-206.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-206/essd-2026-206.pdf</self-uri>
<abstract>
<p>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 &amp;ndash; 600 mm). The traditional textural fractions have been transferred into a unique parameter set (&lt;em&gt;&amp;mu;&lt;/em&gt;, &lt;em&gt;D&lt;sub&gt;c&lt;/sub&gt;&lt;/em&gt;, &lt;em&gt;n&lt;/em&gt;) derived from the unified GSD (UGSD) function (median &lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; = 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 &lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; &amp;gt; 0.95) and robust inter-operator reproducibility for Martian image-derived measurements (coefficient of variation &amp;lt; 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.</p>
</abstract>
<counts><page-count count="48"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Youth Science Foundation</funding-source>
<award-id>42501091</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42322703, 42271092</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Institute of Mountain Hazards and Environment, Chinese Academy of Sciences</funding-source>
<award-id>KLMHER-K22</award-id>
</award-group>
<award-group id="gs4">
<funding-source>China Postdoctoral Science Foundation</funding-source>
<award-id>GZC20231347</award-id>
</award-group>
<award-group id="gs5">
<funding-source>China Postdoctoral Science Foundation</funding-source>
<award-id>2023M741997</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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