ea727f8d-6441-4d88-8ed7-1760bda0c3c3 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-02-12T13:46:34 UK GEMINI 2.3 OSGB 1936 / British National Grid Topsoil visible and near-infrared (Vis-NIR) spectral data from the UKCEH Countryside Survey, Great Britain, 2018-2019 2025-09-24 publication https://catalogue.ceh.ac.uk/id/ea727f8d-6441-4d88-8ed7-1760bda0c3c3 10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3 doi: Ebuele, V.O., Tandy, S., Brentegani, M., Lebron, I., Tye, A., Keith, A., Hermansen, C., Wollesen de Jonge, L., Zaresourmanabad, M., Robinson, D.A. (2025). Topsoil visible and near-infrared (Vis-NIR) spectral data from the UKCEH Countryside Survey, Great Britain, 2018-2019. NERC EDS Environmental Information Data Centre 10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3 [This dataset is embargoed until June 30, 2026]. The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results Full details about this dataset can be found at https://doi.org/10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3 Victor Oghogho Ebuele UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Ebuele, V.O. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-9410-1109 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Tandy, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-0662-0991 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Brentegani, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Lebron, I. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-8610-9717 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Tye, A. British Geological Survey atye@bgs.ac.uk author Keith, A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Hermansen, C. Aarhus University ceciliehermansen@live.dk https://orcid.org/0000-0002-1925-3732 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wollesen de Jonge, L. Aarhus University lis.w.de.jonge@agro.au.dk https://orcid.org/0000-0003-2874-0644 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Zaresourmanabad, M. Aarhus University neda.zare1996@gmail.com author Robinson, D.A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-7290-4867 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Environmental survey Environmental risk Soil Vis-NIR spectroscopy otherRestrictions Embargoed otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Ebuele, V.O., Tandy, S., Brentegani, M., Lebron, I., Tye, A., Keith, A., Hermansen, C., Wollesen de Jonge, L., Zaresourmanabad, M., Robinson, D.A. (2025). Topsoil visible and near-infrared (Vis-NIR) spectral data from the UKCEH Countryside Survey, Great Britain, 2018-2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3 textTable English utf8 environment health 2018-01-01 2019-12-31 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor dataset dataset 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 The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results