Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-299-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-299-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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)
ISRIC – World Soil Information, Wageningen, 6708 PB, the
Netherlands
Eloi Ribeiro
ISRIC – World Soil Information, Wageningen, 6708 PB, the
Netherlands
Ad van Oostrum
ISRIC – World Soil Information, Wageningen, 6708 PB, the
Netherlands
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- Land Use and Land Cover Affect the Depth Distribution of Soil Carbon: Insights From a Large Database of Soil Profiles B. Sulman et al. 10.3389/fenvs.2020.00146
- Deep learning-based national scale soil organic carbon mapping with Sentinel-3 data O. Odebiri et al. 10.1016/j.geoderma.2022.115695
- Soil organic carbon is not just for soil scientists: measurement recommendations for diverse practitioners S. Billings et al. 10.1002/eap.2290
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- SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty L. Poggio et al. 10.5194/soil-7-217-2021
- Development of Hierarchical Ensemble Model and Estimates of Soil Water Retention With Global Coverage Y. Zhang et al. 10.1029/2020GL088819
- Apparent ecosystem carbon turnover time: uncertainties and robust features N. Fan et al. 10.5194/essd-12-2517-2020
- Statistical modelling of measurement error in wet chemistry soil data C. van Leeuwen et al. 10.1111/ejss.13137
- High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic D. Žížala et al. 10.1016/j.catena.2022.106024
- Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
- A parametric sensitivity analysis for prioritizing regolith knowledge needs for modeling water transfers in the West African critical zone A. Herzog et al. 10.1002/vzj2.20163
- Soil rock fragments: Unquantified players in terrestrial carbon and nitrogen cycles X. Lai et al. 10.1016/j.geoderma.2021.115530
- Limited role of soil texture in mediating natural vegetation response to rainfall anomalies S. Gupta et al. 10.1088/1748-9326/ac5206
- Decipher soil organic carbon dynamics and driving forces across China using machine learning H. Li et al. 10.1111/gcb.16154
- Perspectives on data‐driven soil research A. Wadoux et al. 10.1111/ejss.13071
- Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe P. Nasta et al. 10.1016/j.ejrh.2021.100903
- Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. 10.1016/j.scitotenv.2022.153464
- Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the drastic framework: The case of South America F. Rama et al. 10.1016/j.scitotenv.2022.153748
- Spatial variability of saturated hydraulic conductivity and its links with other soil properties at the regional scale B. Usowicz & J. Lipiec 10.1038/s41598-021-86862-3
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- Agricultural Drought Trends on the Iberian Peninsula: An Analysis Using Modeled and Reanalysis Soil Moisture Products L. Almendra-Martín et al. 10.3390/atmos12020236
- Over-Optimistic Projected Future Wheat Yield Potential in the North China Plain: The Role of Future Climate Extremes R. Yang et al. 10.3390/agronomy12010145
- Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada M. Schiedung et al. 10.1016/j.catena.2022.106194
- S-map parameters for APSIM I. Vogeler et al. 10.1016/j.mex.2022.101632
- Identifying opportunities to improve digital soil mapping in India: A systematic review P. Dash et al. 10.1016/j.geodrs.2021.e00478
- High resolution middle eastern soil attributes mapping via open data and cloud computing R. Poppiel et al. 10.1016/j.geoderma.2020.114890
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- Exploring the likely relationship between soil carbon change and environmental controls using nonrevisited temporal data sets: Mapping soil carbon dynamics across China R. Yang et al. 10.1016/j.scitotenv.2021.149312
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Discussed (preprint)
Latest update: 05 Jun 2023
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.
This dataset provides quality-assessed and standardised soil data to support digital soil...
