A global mantle xenolith bulk-rock and paired-mineral dataset

This data descriptor presents a globally compiled dataset of major element concentrations for mantle peridotite and pyroxenite xenoliths. The dataset includes whole-rock analyses, constituent mineral compositions, manually collated sample ages, and pressure-temperature estimates predicted using machine learning thermobarometry models. Mantle xenoliths-fragments of lithospheric mantle transported to the surface by kimberlitic and basaltic magmas-serve as direct samples for investigating mantle evolution and heterogeneity. The initial whole-rock and minerals geochemical data were obtained from GEOROC (Geochemistry of Rocks of the Oceans and Continents) database. Following data cleaning and processing, samples were matched by comparing identifiers, references, and coordinates across mineral-specific (clinopyroxene, orthopyroxene, olivine, spinel, and garnet) databases. The results were supplemented by manual verification to ensure accurate grouping of minerals based on their common xenolith origins. This produces a globally consistent mineral assemblage dataset, comprising 19,999 rows of mantle xenolith data from approximately 547 locations. This dataset offers a comprehensive geochemical foundation for mantle-related studies.

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Publication Details

Journal
Scientific Data
Published
2026-05-18
DOI
https://doi.org/10.1038/s41597-026-07446-2
Primary Topic
Geological and Geochemical Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A global mantle xenolith bulk-rock and paired-mineral dataset

Dongya Zou, Litong Li, Ben Qin, Tao Sun
Scientific Data
Geological and Geochemical Analysis
article

A global mantle xenolith bulk-rock and paired-mineral dataset

Dongya Zou, Litong Li, Ben Qin, Tao Sun
article en

Abstract

This data descriptor presents a globally compiled dataset of major element concentrations for mantle peridotite and pyroxenite xenoliths. The dataset includes whole-rock analyses, constituent mineral compositions, manually collated sample ages, and pressure-temperature estimates predicted using machine learning thermobarometry models. Mantle xenoliths-fragments of lithospheric mantle transported to the surface by kimberlitic and basaltic magmas-serve as direct samples for investigating mantle evolution and heterogeneity. The initial whole-rock and minerals geochemical data were obtained from GEOROC (Geochemistry of Rocks of the Oceans and Continents) database. Following data cleaning and processing, samples were matched by comparing identifiers, references, and coordinates across mineral-specific (clinopyroxene, orthopyroxene, olivine, spinel, and garnet) databases. The results were supplemented by manual verification to ensure accurate grouping of minerals based on their common xenolith origins. This produces a globally consistent mineral assemblage dataset, comprising 19,999 rows of mantle xenolith data from approximately 547 locations. This dataset offers a comprehensive geochemical foundation for mantle-related studies.

Scientific Data
Inner Mongolia University (CN), Institute of Geology and Geophysics (CN), Inner Mongolia University of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 5%
Geological and Geochemical Analysis
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