be728b02-0bd5-58a5-e054-002128a47908 English nonGeographicDataset non geographic dataset British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-08-25 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13607724 Receiver Functions imaging the Mantle Transition Zone beneath the African Continent 2021-02-25 creation http://data.bgs.ac.uk/id/dataHolding/13607724 This dataset contains P-to-S converted seismic receiver functions from stations across Africa. Receiver functions are P-to-s filtered at frequencies to observe discontinuities in the mantle transition zone. Receiver functions have been used to look at topography on the mantle discontinuities and scatterers in the mid-mantle: Boyce, Alistair, and Sanne Cottaar. "Insights into Deep Mantle Thermochemical Contributions to African Magmatism from Converted Seismic Phases." Geochemistry, Geophysics, Geosystems (2021): e2020GC009478. Note: All Seismic data used is freely available from the Incorporated Research Institutions for Seismology (https://ds.iris.edu/ds/nodes/dmc/), GeoForschungZentrum (http://geofon.gfz-potsdam.de/), French national (http://seismology.resif.fr/) and Institut de Physique du Globe de Paris (http://geoscope.ipgp.fr/index.php/en/) datacenters. The attached data is stored in .PICKLE files. Scripts used to process this data, and use this data can be found in our toolkit SMURFPy: https://zenodo.org/record/4337258#.X_6-6y2l0Wo . This relies heavily on the ObsPy library https://docs.obspy.org The receiver functions are stored in separate folder for P- receiver functions, PKP- receiver functions, and PP-receiver functions. Subfolders represent different stations, and are named by #networkID.#stationID. Some folders are empty as none of the receiver functions pass quality control. Initial processing includes the data download, data rotation, filtering and windowing, and iterative deconvolution in the time domain. Different versions are created at different frequency bands as defined in the README file. Automatic Quality Control is applied, based on signal-to-noise ratios, receiver function recovery measures, and peak amplitudes in the receiver function (outside of the main P peak). We provide various time-to-depth conversions for the data. Details on how these are stored are provided in the readme. Models used are PREM (Dziewonski & Anderson 1981), ak135 (Kennett et al. 1991), AF2019CR (Celli et al. 2020), AFRP20CR (Boyce et al. 2021), SEMUCBCR (French & Romanowicz 2014), SGLOBEraniCR (Chang et al. 2015), SL2013SV (Schaeffer & Lebedev, 2013). Data resulting from NERC grant NE/R010862/1 High-resolution seismic constraints to reveal mid-mantle processes. Sanne Cottaar University of Cambridge Department of Earth Sciences 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/be728b02-0bd5-58a5-e054-002128a47908.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Earth mantle Shear waves Seismology Primary waves BGS Thesaurus of Geosciences 2022 revision 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 1990-01-01 2019-01-01 Enquiries British Geological Survey United Kingdom not available distributor https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item162965 WWW:DOWNLOAD-1.0-http--download Data download nonGeographicDataset non geographic 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 Initial processing includes the data download, data rotation, filtering and windowing, and iterative deconvolution in the time domain. Different versions are created at different frequency bands as defined in the README file. Automatic Quality Control is applied, based on signal-to-noise ratios, receiver function recovery measures, and peak amplitudes in the receiver function (outside of the main P peak). We provide various time-to-depth conversions for the data. Details on how these are stored are provided in the readme. Models used are PREM (Dziewonski & Anderson 1981), ak135 (Kennett et al. 1991), AF2019CR (Celli et al. 2020), AFRP20CR (Boyce et al. 2021), SEMUCBCR (French & Romanowicz 2014), SGLOBEraniCR (Chang et al. 2015), SL2013SV (Schaeffer & Lebedev, 2013).