33ecc53a-2a3e-490f-e063-3050940a8a40 English dataset British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-04-30 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13608406 WGS 84 (EPSG::4326) Synthetic Rayleigh wave phase delays and Vsv upper-mantle structure in the Pacific, a synthetic tomography 2025-04-11 creation http://data.bgs.ac.uk/id/dataHolding/13608406 This repository contains data and inversion results for the SOLA finite-frequency tomography of the Pacific upper-mantle in a synthetic setup. It is related to the paper by Latallerie et al., 2025 in Seismica and more information can be found in this publication. The code repository for the finite-frequency SOLA tomography can be found at Gitlab: https://gitlab.com/FranckLatallerie/sola_ffsw.git The dataset consists of Rayleigh wave phase delays (dispersion) measured on vertical component seismograms for earthquake-receiver pairs across the Pacific hemisphere. Synthetic phase delays are measured on synthetic reference seismogram computed with normal-mode summation using the MINEOS software (e.g. Masters et al., 2011) in the radial reference model stw105 (Kustowski et al., 2008). “Observed” seismograms are synthetic waveforms computed in the 3D model S362ANI (Kustowski et al., 2008), using the SEM solver SPECFEM3DGlobe. These synthetic waveforms have been provided by the GlobalShakeMovie project (Tromp et al., 2010) and were downloaded from the Earthscope (formerly IRIS) Data Management Center (IRIS DMC, 2012) using the network code SY and channel code MXZ. All network and stations used are listed in the Acknowledgements of the accompanying paper. The model represents the vertically polarised shear wave velocity (Vsv) 3D structure of the upper mantle in the Pacific. It is accompanied with full 3D resolution and uncertainty. The 3D tomographic grid is made of voxels of size 2 by 2 degrees laterally, and 25 km vertically, spanning the whole sphere, starting at the surface down to ~400km depth. In the files, the longitude is the fastest varying coordinate, then latitude, followed by radius. The midpoints of the voxels range between 1 and 359 for longitude and between 89 (north) to -89 (south) for latitude, both in steps of 2 degrees, while radius changes from 6358.5 to 5983.5 km inclusive, in steps of 25 km. Paula Koelemeijer University of Oxford not available originator Franck Latallerie University of Oxford not available originator Andrew Walker University of Oxford not available originator Sophie Lambotte EOST / CNRS Strasbourg not available originator Alessia Maggi EOST / CNRS Strasbourg not available originator Christophe Zaroli EOST / CNRS Strasbourg not available originator Enquiries British Geological Survey United Kingdom not available distributor Enquiries British Geological Survey United Kingdom not available pointOfContact notApplicable https://resources.bgs.ac.uk/images/geonetworkThumbs/33ecc53a-2a3e-490f-e063-3050940a8a40.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Seismic tomography Seismology Surface waves BGS Thesaurus of Geosciences 2022 revision Citable Data NGDC Deposited Data dataCentre NERC_DDC otherRestrictions licenceOGL Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]" otherRestrictions The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused. Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]" English geoscientificInformation British Geological Survey Gazetteer: Gazetteer of sea areas 2010 revision PACIFIC OCEAN [id=2002258] -180.0000 -114.3400 -53.7600 36.8100 2023-02-01 2024-07-31 ASCII text witheld Enquiries British Geological Survey United Kingdom not available distributor https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item187919 WWW:DOWNLOAD-1.0-http--download Data download https://doi.org/10.5285/f30ebc16-592a-4409-aeca-5940730bde84 WWW:LINK-1.0-http--related Citation Information - Digital Object Identifier (DOI) Latallerie, F., Zaroli, C., Lambotte, S., Maggi, A., Walker, A., Koelemeijer, P. (2025). Synthetic Rayleigh wave phase delays and Vsv upper-mantle structure in the Pacific, a synthetic tomography. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/f30ebc16-592a-4409-aeca-5940730bde84 information dataset dataset INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology 2011 publication See the referenced specification false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF false Data are measured using the multi-taper technique (Thompson 1982) between frequencies of 6 to 21 mHz, in steps of 1mHz. The first 5 Slepians are used (Slepian 1978). A datum is the average of measurements over the 5 tapers, and while the standard deviation represents the uncertainty. The tomographic model is developed by applying the SOLA inverse method (Zaroli 2016) to the data using finite-frequency theory (Zhou 2009).