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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Efficiency of thermoremanent magnetization acquisition in vortex-state particle assemblies: Dataset and Codes

Authors: Donardelli Bellon, Ualisson; Williams, Wyn; Muxworthy, Adrian R; Ferreira de Souza Junior, Gelson; Nagy, Lesleis; Uieda, Leonardo; Trindade, Ricardo;

Efficiency of thermoremanent magnetization acquisition in vortex-state particle assemblies: Dataset and Codes

Abstract

When magma cools, crystallized magnetic minerals can record the ambient magnetic field. If these mineral grains are sufficiently small, they may retain that magnetic record for billions of years. This phenomenon enables paleomagnetists to study the direction and intensity of ancient magnetic fields on Earth and other planets. A key task is determining the number of magnetic particles required to reliably record such a field, as well as understanding the influence of grain size and shape on this process. Here, we present a dataset from the study titled "Efficiency of Thermoremanent Magnetization Acquisition in Vortex-State Particle Assemblies," which integrates micromagnetic modeling and probabilistic magnetic state partitioning to address these questions. The dataset includes codes for the micromagnetic simulations and data from all the simulations conducted.

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Keywords

Paleomagnetism, Geophysics, FOS: Earth and related environmental sciences, Planetary sciences, Micromagnetics, Numerical analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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