5f9aa13b-0f0e-3af5-e054-002128a47908 English dataset British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-05-24 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13607230 Arc 1960 / UTM zone 37S (EPSG::21037) Gro for GooD Soil Data Kwale County, Kenya (NERC grant NE/M008894/1) 2017-11-17 creation http://data.bgs.ac.uk/id/dataHolding/13607230 The data set contains Soil Data used in the Gro for GooD Project in Kwale, Kenya based on KENSOTER database and soil survey in study area. The KENSOTER dataset, specific for Kenya, was compiled by the Kenya Soil Survey (KSS) and ISRIC and released in 2006 where ISRIC plays a lead role in methodology development and programme implementation (http://www.isric.org/projects/soil-and-terrain-soter-database-programme). The dataset includes over 600 soil components, including synthetic profiles, which have been derived from soil survey reports and expert knowledge. The second version of the dataset which has been made available includes additional soil profile database and is also used for the assessment of soil carbon stocks. The gaps in the measured soil profile data have been filled using a step-wise procedure which includes three main stages: (1) collate additional measured soil analytical data where available; (2) fill gaps using expert knowledge and common sense; (3) fill the remaining gaps using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity. The data have recently been used for the Green Water Credit (GWC) programme in the Upper Tana River Valley. This dataset was prepared for the Gro for GooD project by Mike Thomas, Rural Focus Ltd., Kenya; John Gathenya, JKUAT, Kenya. Gro for GooD: Groundwater Risk Management for Growth and Development Dr R A Hope University of Oxford School of Geography and the Environment Oxford OX1 3QY not available principalInvestigator Nancy Gladstone University of Oxford Smith School of Enterprise and the Environment Oxford OX1 3QY not available pointOfContact Mike Thomas Rural Focus Ltd P.O. Box 1011-10400 Nanyuki Kenya not available originator John Gathenya Jomo Kenyatta University of Agriculture and Technology Department of Soil, Water and Environmental Engineering Nairobi Kenya 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/5f9aa13b-0f0e-3af5-e054-002128a47908.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Soils BGS Thesaurus of Geosciences 2022 revision NGDC Deposited Data dataCentre NERC_DDC otherRestrictions no limitations The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible. 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]" vector English geoscientificInformation ISO 3166_1 alpha-2 2009 revision KE ISO 3166_1 alpha-3 2009 revision KEN British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation KENYA [id=687000] 38.4500 39.7000 -4.6700 -3.5500 2015-01-01 2016-07-31 KENSOTER database http://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/73e27136-9efe-49e4-af35-fd98b841d467 XML witheld Microsoft Excel witheld database files (.adf) witheld Text file (TXT) witheld Enquiries British Geological Survey United Kingdom not available distributor https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item104449 WWW:DOWNLOAD-1.0-http--download Data information http://reshare.ukdataservice.ac.uk/853667/ 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 harmonized data set was derived from Soil and Terrain Database for Kenya (KENSOTER V2), at scale 1:1M, compiled by the Kenya Soil Survey and ISRIC. The parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for 20 parameter attributes which have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameters values were are best estimates based on the current selection of soil profiles and data clustering procedure. Results are presented as summary files and can be linked to SOTER map for Kenya through the unique SOTER-unit code. Soil field survey was undertaken within study area in 2016 and results compared with the SOTER parameter estimates as satisfactory to build confidence on the data sets.