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Published on 23 September 2021 |

Version 3

Iron sulfides and anomalous electrical resistivity in cratonic environments: electrical resistivity data set

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Pommier, Anne

Description

The interpretation of low-resistivity anomalies in the lithospheric mantle of several cratonic regions has invoked hydrogen, or connected networks of graphite with iron-rich silicates, and/or metal sulfides. Electrical laboratory measurements are a powerful approach for exploring these alternatives. We report electrical measurements of two xenoliths (pyroxenite and dunite) from Tanzania; two metal sulfides (FeS and Fe-S-Ni); and several mixtures of metal sulfides (3.4–18.2 vol.%) with xenolith. A multi- anvil press was employed to maintain a 2 GPa pressure and temperatures up to 1,627 K. The addition of 3.4 vol.% FeS to the pyroxenite or dunite matrix has little effect on bulk resistivity, particularly for T > 800 K. However, the resistivity drops dramatically–by factors of up to 1,000, depending on temperature– upon addition of 6.5 vol.% FeS in the dunite. Addition of 18.2% FeS causes a further decrease of the same magnitude relative to the 6.5% sample. Scanning electron microscope images do not reveal the formation of a connected FeS network as part of the decreased resistivity. Possible explanations for the apparently conflicting results include connections of the sulfide that are not imaged in the back-scattered images, either because of limited resolution, or perhaps the inherent limitations of the 2-D perspective. The complete data set (xenoliths, metal sulfides, and mixtures) was modeled with a modified version of Archie’s law, and we find satisfactory agreement over a truncated temperature range. We conclude that the low-resistivity anomalies in Tanzania, Kaapvaal, and Gawler cratons can be explained by the presence of a few vol.% of solid sulfide.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

77%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Dryad

Assigned Domain

Subfield

Geochemistry and Petrology

Field

Earth and Planetary Sciences

Domain

Physical Sciences

Confidence Score

48%

Source

Scholar Data Model

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00