ec6ade01-2016-0ba2-e053-0937940a5172 English model model British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-05-10 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13607991 WGS 84 (EPSG::4326) Probabilistic models of earthquake location and velocity structure beneath New Ollerton, UK 2022-10-28 creation http://data.bgs.ac.uk/id/dataHolding/13607991 The models are probabilistic inferences of earth structure and earthquake location based around travel times of P and S waves recorded at seismic stations above New Ollerton, Nottinghamshire, UK. For each point in the subsurface, we present many different values of the P- and S-wave velocity which are compatible with the data. Likewise, we present many event locations for each earthquake included in the dataset. These different models represent the posterior probability distribution respectively for the subsurface velocity and earthquake locations. Andy Nowacki University of Leeds 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/ec6ade01-2016-0ba2-e053-0937940a5172.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Induced seismicity Earthquake magnitude Monte Carlo method BGS Thesaurus of Geosciences 2022 revision NGDC Deposited Data Citable 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: OS gazetteer 2002 revision New Ollerton [id=1371420] -1.1000 -0.9500 53.2000 53.2800 2013-12-01 2014-01-31 netCDF witheld Enquiries British Geological Survey United Kingdom not available distributor https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item176632 WWW:DOWNLOAD-1.0-http--download Data download https://doi.org/10.5285/cc8f3dbe-8223-40f7-a618-3638db054a3e WWW:LINK-1.0-http--related Citation Information - Digital Object Identifier (DOI) Nowacki, A., Roy, C., Zhang, X., Curtis, A., Baptie, B. (2022). Probabilistic models of earthquake location and velocity structure beneath New Ollerton, UK. NERC EDS National Geoscience Data Centre. (Model). https://doi.org/10.5285/cc8f3dbe-8223-40f7-a618-3638db054a3e information model model 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 The suite of models are created by sampling the posterior probability distribution using a Markov chain Monte Carlo approach. The methods are described in the open-access paper below: Roy, C., Nowacki, A., Zhang, X., Curtis, A., Baptie, B., 2021. Accounting for natural uncertainty within monitoring systems for induced seismicity based on earthquake magnitudes. Front. Earth Sci. 9, 634688. https://doi.org/10.3389/feart.2021.634688