README File for the Dataset in support of the thesis �Mantle convection and melt experiment located at the transition zone�
README Author: Yuhang Dai, University of Southampton
Dataset DOI: https://doi.org/10.5258/SOTON/D3456

This dataset supports the thesis:
Dai, Yuhang (2025) Mantle convection and melt experiment located at the transition zone. 
University of Southampton, Doctoral Thesis, 144pp
https://eprints.soton.ac.uk/501229/

Data licence: CC BY

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DATA & FILE OVERVIEW
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The zip file contains 6 MAT-files storing global mantle transition zone topographies data using different migration models. The name of each MAT-file indicates its corresponding migration model:
MTZ_3D_IASP91.mat:	1-D reference Earth model IASP91
MTZ_3D_CI.mat:		1-D reference Earth model IASP91 with 3-D crustal correction using CRUST1.0
MTZ_3D_S362ANI.mat:	3-D mantle model S362ANI+M with 3-D crustal correction using CRUST1.0
MTZ_3D_SEISGLOB2.mat:	3-D mantle model SEISGLOB2 with 3-D crustal correction using CRUST1.0
MTZ_3D_SGLOBE.mat:	3-D mantle model SGLOBE-rani with 3-D crustal correction using CRUST1.0
MTZ_3D_SP12RTS.mat:	3-D mantle model SP12RTS with 3-D crustal correction using CRUST1.0

Each MAT-file is of identical structure and properties:
Struct: MTZ
Fields:
	model:	string,			migration model
	D410:		double,		depth of the 410
	R410:		double,		normalised amplitude of the S410S
	D660:		double,		depth of the 660
	R660:		double,		normalised amplitude of the S660S
      	D520:		double,		depth of the 520
	R520:		double,		normalised amplitude of the S520S
	D560:		double,		depth of the 560
	R560:		double,		normalised amplitude of the S560S
	DS410:		double,		depth of the �supra-410�
	RS410:		double,		normalised amplitude of the �supra-410�
	DS660:		double,		depth of the �supra-660�
	RS660:		double,		normalised amplitude of the �supra-660�
	DI410:		double,		depth of the �infra-410�
	RI410:		double,		normalised amplitude of the �infra-410�
	DI660:		double,		depth of the �infra-660�
	RI660:		double,		normalised amplitude of the �infra-660�

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METHODOLOGICAL INFORMATION
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The datasets were created with MATLAB_R2024b


Readme created: May 2025