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Lebron, I. et al

Topsoil particle size distribution, electrical conductivity, calcite and total carbon from the Countryside Survey of Great Britain for 2018-2023, and aggregate information for 2019

https://doi.org/10.5285/6893097f-f504-4b77-96c8-8daa5da6a09d
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This dataset is available under the terms of the Open Government Licence

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This dataset contains information on the soil particle size distribution, electrical conductivity, total carbon, and inorganic carbon in the form of CaCO3 for the topsoil (0-15cm) from the Countryside Survey monitoring programme spanning the years 2018 to 2023. This period includes the five years, along with the pilot year, required to finalize the sampling across the geography of Great Britain. Additionally, it includes the aggregate size distribution and stability for the CS2019. UKCEH Countryside Survey is the longest integrated national monitoring programme of the countryside for Great Britain, which began in 1978. The results provide a unique insight into how our plants, soil, woodlands and small water bodies have changed over time.
Publication date: 2025-08-14
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More information

View numbers valid from 14 August 2025 Download numbers valid from 14 August 2025 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid

Temporal information

Temporal extent
2018-04-01    to    2023-09-30

Provenance & quality

A total of 500 x 1-km2 squares, over the five-year cycle, were randomly sampled within strata defined according to the Land Classification of Great Britain – a derived classification of the landscape based on its topography, geology, climate, and physical attributes. Within each 1-km x 1-km square, topsoil samples were taken from 5 pre-determined randomly dispersed locations (where possible) with the vegetation X-Plots. The soil sample analysed for soil metrics is taken using a black plastic core, 15 cm long. This dataset comprises physical and chemical parameters that were measured in soils collected throughout the United Kingdom from April to September during the years 2018 to 2023. Quality controls were implemented in the planning, collection, analysis, and reporting of the data.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Lebron, I.; Ebuele, V.O.; Brentegani, M.; Tandy, S.; van Soest, M.; Garbutt, A.; Bentley, L.; Williams, B.; Wood, C.M.; Emmett, B.A.; Robinson, D.A. (2025). Topsoil particle size distribution, electrical conductivity, calcite and total carbon from the Countryside Survey of Great Britain for 2018-2023, and aggregate information for 2019. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/6893097f-f504-4b77-96c8-8daa5da6a09d

Related

This dataset is included in the following collections

Countryside Survey

Correspondence/contact details

Inmaculada Lebron Robinson
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Authors

Lebron, I.
UK Centre for Ecology & Hydrology
Ebuele, V.O.
UK Centre for Ecology & Hydrology
Brentegani, M.
UK Centre for Ecology & Hydrology
Tandy, S.
UK Centre for Ecology & Hydrology
van Soest, M.
UK Centre for Ecology & Hydrology
Garbutt, A.
UK Centre for Ecology & Hydrology
Bentley, L.
UK Centre for Ecology & Hydrology
Williams, B.
UK Centre for Ecology & Hydrology
Wood, C.M.
UK Centre for Ecology & Hydrology
Emmett, B.A.
UK Centre for Ecology & Hydrology
Robinson, D.A.
UK Centre for Ecology & Hydrology

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
farming
INSPIRE theme
Environmental Monitoring Facilities
Keywords
aggregate size distribution , Agriculture , Environmental survey , particle size distribution , Soil
Funding
Natural Environment Research Council Award: NE/Y006208/1
European Union’s Horizon Europe research and innovation program Award: 10053484