The University of Southampton
University of Southampton Institutional Repository

Shear Velocity model from Joint Inversion of Rayleigh waves

Shear Velocity model from Joint Inversion of Rayleigh waves
Shear Velocity model from Joint Inversion of Rayleigh waves
A shear velocity model for Journal article: Chambers et al. Imaging the seismic velocity structure of the crust and upper mantle in the northern East African Rift using Rayleigh wave tomography, Geophysical Journal International. The dataset contains longitude, latitude, depth and shear velocity data. E.L.C acknowledges funding from NERC studentship NE/L002531/1. C.A.R. and N.H. acknowledge funding from NERC grants NE/M003507/1 and NE/K010654/1 and ERC grant GA 638665. D.K. is supported by NERC grant NE/L013932 and by MiUR through PRIN grant 2017P9AT72. This version of the dataset, https://doi.org/10.5258/SOTON/D1408v2, was updated on YYYY/MM/DD. The previous version is available at https://doi.org/10.5258/SOTON/D1408v1
Tomography, Surface waves, Rayleigh Waves, East African Rift, Rifting
University of Southampton
Chambers, Emma
a437ec20-d7f5-408c-bf74-1e07acf4f967
Keir, Derek
5616f81f-bf1b-4678-a167-3160b5647c65
Harmon, Nicholas
10d11a16-b8b0-4132-9354-652e72d8e830
Rychert, Catherine
70cf1e3a-58ea-455a-918a-1d570c5e53c5
Chambers, Emma
a437ec20-d7f5-408c-bf74-1e07acf4f967
Keir, Derek
5616f81f-bf1b-4678-a167-3160b5647c65
Harmon, Nicholas
10d11a16-b8b0-4132-9354-652e72d8e830
Rychert, Catherine
70cf1e3a-58ea-455a-918a-1d570c5e53c5

Chambers, Emma, Keir, Derek, Harmon, Nicholas and Rychert, Catherine (2022) Shear Velocity model from Joint Inversion of Rayleigh waves. University of Southampton doi:10.5258/SOTON/D1408 [Dataset]

Record type: Dataset

Abstract

A shear velocity model for Journal article: Chambers et al. Imaging the seismic velocity structure of the crust and upper mantle in the northern East African Rift using Rayleigh wave tomography, Geophysical Journal International. The dataset contains longitude, latitude, depth and shear velocity data. E.L.C acknowledges funding from NERC studentship NE/L002531/1. C.A.R. and N.H. acknowledge funding from NERC grants NE/M003507/1 and NE/K010654/1 and ERC grant GA 638665. D.K. is supported by NERC grant NE/L013932 and by MiUR through PRIN grant 2017P9AT72. This version of the dataset, https://doi.org/10.5258/SOTON/D1408v2, was updated on YYYY/MM/DD. The previous version is available at https://doi.org/10.5258/SOTON/D1408v1

Text
readme_joint_EChambers2021.txt - Dataset
Available under License Creative Commons Attribution Share Alike.
Download (1kB)
Text
Chambersetal2022_joint_shear_velocity_data_GJI.csv - Dataset
Available under License Creative Commons Attribution Share Alike.
Download (84MB)
Other
Chambersetal2022_joint_shear_velocity_data_GJI.nc - Dataset
Available under License Creative Commons Attribution Share Alike.
Download (27MB)

More information

Published date: 20 April 2022
Keywords: Tomography, Surface waves, Rayleigh Waves, East African Rift, Rifting

Identifiers

Local EPrints ID: 456366
URI: http://eprints.soton.ac.uk/id/eprint/456366
PURE UUID: 660953a4-0d61-431b-868d-6b417c4ef187
ORCID for Derek Keir: ORCID iD orcid.org/0000-0001-8787-8446
ORCID for Nicholas Harmon: ORCID iD orcid.org/0000-0002-0731-768X

Catalogue record

Date deposited: 27 Apr 2022 14:22
Last modified: 06 May 2023 01:46

Export record

Altmetrics

Contributors

Creator: Emma Chambers
Creator: Derek Keir ORCID iD
Creator: Nicholas Harmon ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×