Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 299–320, 2020
https://doi.org/10.5194/essd-12-299-2020
Earth Syst. Sci. Data, 12, 299–320, 2020
https://doi.org/10.5194/essd-12-299-2020

Data description paper 10 Feb 2020

Data description paper | 10 Feb 2020

Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019)

Niels H. Batjes et al.

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Cited articles

Al-Shammary, A. A. G., Kouzani, A. Z., Kaynak, A., Khoo, S. Y., Norton, M., and Gates, W.: Soil Bulk Density Estimation Methods: A Review, Pedosphere, 28, 581–596, https://doi.org/10.1016/S1002-0160(18)60034-7, 2018. 
Baroni, G., Zink, M., Kumar, R., Samaniego, L., and Attinger, S.: Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales, Hydrol. Earth Syst. Sci., 21, 2301–2320, https://doi.org/10.5194/hess-21-2301-2017, 2017. 
Baritz, R., Erdogan, H., Fujii, K., Takata, Y., Nocita, M., Bussian, B., Batjes, N. H., Hempel, J., Wilson, P., and Vargas, R.: Harmonization of methods, measurements and indicators for the sustainable management and protection of soil resources (Providing mechanisms for the collation, analysis and exchange of consistent and comparable global soil data and information), Global Soil Partnership, FAO, 44 pp., 2014. 
Batjes, N. H.: Harmonized soil profile data for applications at global and continental scales: updates to the WISE database, Soil Use Manage., 25, 124–127 https://doi.org/10.1111/j.1475-2743.2009.00202.x, (supplemental information: https://www.isric.org/sites/default/files/isric_report_2008_02.pdf, last access: 8 January 2020), 2009. 
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Short summary
This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at broadscale levels. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present measures for geographic accuracy and a first approximation for the uncertainty associated with the various analytical methods.