9df8df52-d75c-37a8-e044-0003ba9b0d98 English dataset British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-05-06 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13605362 OSGB 1936 / British National Grid (EPSG::27700) Soil chemistry Scotland (version 3) 2009 creation http://data.bgs.ac.uk/id/dataHolding/13605362 This dataset has now been superseded, please see the Estimated Ambient Background Soil Chemistry Scotland dataset. The BGS digital soil chemistry data indicates the estimated geometric mean concentrations (mg kg-1) of Arsenic (As), Cadmium (Cd), Chromium (Cr), Nickel (Ni) and Lead (Pb) in surface soil. The soil chemistry data is based on GBASE (Geochemical Baseline Survey of the Environment) soil geochemical data where these are available. Elsewhere the stream sediment data are converted to surface soil equivalent potentially harmful element(PHE) concentrations. This dataset covers Scotland but data is available for the whole of Great Britain, with the exception of the London area where an inadequate number of geochemical samples are available at the moment. Enquiries British Geological Survey 0115 936 3143 0115 936 3276 Environmental Science Centre, Nicker Hill, Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk distributor Enquiries British Geological Survey 0115 936 3143 0115 936 3276 Environmental Science Centre, Nicker Hill, Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact Enquiries British Geological Survey 0115 936 3143 0115 936 3276 Environmental Science Centre, Nicker Hill, Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk custodian notPlanned https://resources.bgs.ac.uk/images/geonetworkThumbs/9df8df52-d75c-37a8-e044-0003ba9b0d98.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Chromium Soil chemistry Arsenic Cadmium Lead Nickel BGS Thesaurus of Geosciences 2022 revision UK Location (INSPIRE) dataCentre NERC_DDC otherRestrictions license Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear. 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. The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage. vector 50000 English geoscientificInformation British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation SCOTLAND [id=140000] ISO 3166_1 alpha-3 2009 revision SCT -8.6500 -0.5300 54.6000 60.8400 1968 1993 This dataset has been replaced by Estimated Ambient Background Soil Chemistry Scotland. ESRI Shapefile 1994 Enquiries British Geological Survey 0115 936 3143 0115 936 3276 Environmental Science Centre, Nicker Hill, Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk distributor https://www.bgs.ac.uk/ WWW:LINK-1.0-http--link BGS Homepage The BGS Homepage is an entry point to the BGS data services. 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 The soil chemistry data is based on GBASE (Geochemical Baseline Survey of the Environment) soil geochemical data where these are available. Elsewhere the stream sediment data are converted to surface soil equivalent potentially harmful element (PHE) concentrations using delineations of PM polygons as the soil geochemistry mapping unit and the statistical relationships between soil and stream sediment data to derive the equivalent soil PHE concentration from the stream sediment data. Geometric mean ambient background concentrations (ABCs) for PHEs in mineral soils are mapped within delineations of PM polygons to produce a seamless data set covering the whole of Great Britain, with the exception of the London area where an inadequate number of geochemical samples are available at the moment. PHE concentrations in organic soils (i.e. with more than 15-20% organic carbon) are likely to be significantly lower than those indicated by the soil chemistry data.