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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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A new lithospheric density and magnetic susceptibility model of Iran, starting from high resolution seismic tomography

Authors: Maurizio Gerardo; Braitenberg Carla; Sampietro Daniele; Capponi Martina;

A new lithospheric density and magnetic susceptibility model of Iran, starting from high resolution seismic tomography

Abstract

The Iranian collisional belt formed through different geological events, some of which are still in progress, such as the convergence between Eurasian and Arabian plates, that led to the formation of a complex structure throughout the entire area. To better investigate these structures, we realize a 3D model of the lithosphere in Iran showing the density and the magnetic susceptibility distribution, obtained from a Bayesian joint gravity and magnetic field inversion, starting from a high-resolution seismic tomography (Kaviani et al., 2020). With these models we also calculate the rigidity distribution of the area. The Data Cube uploaded contains the density, magnetic susceptibility and shear modulus volumes, the Bouguer gravity field and the magnetic field, and the Moho, Curie depth and sediment base depth surfaces.

{"references": ["Kaviani, A., A. Paul, A. Moradi, P.M. Mai, S. Pilia, L. Boschi, G. Rumpker, Y. Lu, Z. Tang, and E. Sandvol (2020), Crustal and uppermost mantle shear wave velocity structure beneath the Middle East from surface wave tomography. Geophysical Journal International 221 (2): 1349\u20131365. https://doi.org/10.1093/gji/ggaa075 ."]}

Related Organizations
Keywords

Seismic Tomography, Gravity Inversion, Rigidity, Iran lithosphere, Magnetic field Inversion

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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.
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