Data Publication

Global mantle clinopyroxene data (major and trace elements)

GFZ Data Services

(2022)

Compilation of global major and trace element compositional data for clinopyroxenes from mantle xenoliths from 972 locations worldwide, originally downloaded from the GEOROC database (https://georoc.eu/; accessed 14 July 2020). Each location includes multiple samples and analyses. To exclude unreliable samples, we used only clinopyroxenes with 40–60 wt.% SiO2, <40 wt.% MgO, <30 wt.% FeOT, <26 wt.% CaO, and oxide totals of 98.5–101.5 wt.%. Elements missing from >60% of the entire dataset were not considered. The dataset contains 21,605 observations (rows) corresponding to clinopyroxene major element analyses (SiO2, TiO2, Al2O3, Cr2O3, FeOT, CaO, MgO, MnO, and Na2O), and 2,967 rows of trace element analyses (including Sc, Ti, V, Cr, Ni, Rb, Sr, Y, Zr, Nb, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, Pb, Th, and U). Database as published in Qin et al. (2022).

Keywords

Originally assigned keywords

clinopyroxene

major elements

trace elements

rare earth elements

xenolith

clinopyroxenite

dunite

harzburgite

kimberlite

lherzolite

peridotite

pyroxenite

wehrlite

Archean greenstone belt

Archean TTGgneiss complex

aseismic ridge

continental intraplate

setting

continental rift

convergent margin

large igneous province continental

large igneous province oceanic

oceanic island

seamount

GEOCHEMISTRY

Corresponding MSL vocabulary keywords

major elements

trace elements

peridotite

pyroxenite

convergent tectonic plate boundary

seamount

MSL enriched keywords

analysis

microchemical analysis

major elements

whole rock analysis

major elements

trace elements

igneous rock - intrusive

ultrabasic intrusive

peridotite

pyroxenite

tectonic plate boundary

convergent tectonic plate boundary

Modeled geomorphological feature

coastal and oceanic landforms

seamount

volcanic landforms

seamount

measured property

barium

calcium

calcium oxide

cerium

chromium

chromium oxide

dysprosium

erbium

europium

gadolinium

hafnium

holmium

iron

ferrous iron oxide (di-valent)

total iron oxide content reported as ferrous (di-valent) iron

lanthanum

lead (Pb)

lutetium

magnesium

magnesium oxide

manganese

manganese oxide

neodymium

nickel

niobium

praseodymium

rubidium

samarium

scandium

silicon

silicon dioxide

strontium

tantalum

terbium

thorium

thulium

titanium

titanium oxide

ytterbium

zirconium

MSL enriched sub domains i

geochemistry

analogue modelling of geologic processes

Source

http://dx.doi.org/10.5880/digis.e.2024.007

Source publisher

GFZ Data Services

DOI

10.5880/digis.e.2024.007

Authors

Qin, Ben

0000-0001-9821-1639

Zhejiang University, Hangzhou, China;

Fang, Huang

0000-0002-6017-442X

CSIRO Mineral Resources, Kensington, WA, Australia;

Shichun, Huang

0000-0001-7660-8766

Department of Geoscience, University of Nevada, Las Vegas, NV, USA;

Andre, Python

0000-0001-8094-7226

Zhejiang University, Hangzhou, China;

Yunfeng, Chen

0000-0002-7534-0021

Zhejiang University, Hangzhou, China;

ZhangZhou, J.

0000-0003-0107-0548

Zhejiang University, Hangzhou, China;

Contributers

Qin, Ben

ContactPerson

Zhejiang University, Hangzhou, China;

ZhangZhou, J.

ContactPerson

Zhejiang University, Hangzhou, China;

References

Qin, B., Fang, H., Shichun, H., Andre, P., Yunfeng, C., & J, Z. Z. (2022). <i>Global mantle clinopyroxene data (major and trace elements)</i> [Data set]. GRO.data. https://doi.org/10.25625/AVAW2Y

10.25625/AVAW2Y

IsIdenticalTo

Qin, B., Huang, F., Huang, S., Python, A., Chen, Y., & ZhangZhou, J. (2022). Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide. Journal of Geophysical Research: Solid Earth, 127(5). Portico. https://doi.org/10.1029/2021jb023614

10.1029/2021JB023614

IsSupplementTo

Qin, B., Huang, F., Shichun Huang, Python, A., Yunfeng Chen, & J ZhangZhou. (2021). Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide. <i>Zenodo</i>. https://doi.org/10.5281/ZENODO.6466993

10.5281/zenodo.6466993

IsSupplementTo

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Cites

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Cites

Contact

ZhangZhou, J.

Zhejiang University, Hangzhou, China;

ZhangZhou, J.

Zhejiang University, Hangzhou, China;

Citiation

Qin, B., Fang, H., Shichun, H., Andre, P., Yunfeng, C., & ZhangZhou, J. (2022). Global mantle clinopyroxene data (major and trace elements) [Data set]. GFZ Data Services. https://doi.org/10.5880/DIGIS.E.2024.007