Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4735-2024
© Author(s) 2024. 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-16-4735-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Oct 2024
Data description paper |
| 22 Oct 2024
| 22 Oct 2024
Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)
ISRIC – World Soil Information, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Luis Calisto
ISRIC – World Soil Information, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Luis M. de Sousa
ISRIC – World Soil Information, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
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Total article views: 3,898 (including HTML, PDF, and XML)
Thereof 3,807 with geography defined
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Total article views: 2,745 (including HTML, PDF, and XML)
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Cited
19 citations as recorded by crossref.
- Pruned hierarchical Random Forest framework for digital soil mapping: Evaluation using NEON soil properties C. Xu et al. 10.1016/j.geoderma.2025.117392
- Neural network estimation of thermal conductivity across full saturation for various soil types Y. Fu et al. 10.1016/j.compag.2025.110321
- Global soil organic and inorganic carbon vulnerability in response to irrigation Q. Tang et al. 10.1038/s43247-025-02591-9
- Spatio-temporal mapping reveals changes in soil organic carbon stocks across the contiguous United States since 1955 C. Yang et al. 10.1038/s43247-025-02605-6
- Deltaic freshwater scarcity driven by unsustainable groundwater-fed irrigation A. Getirana et al. 10.1038/s41893-025-01566-0
- Optimization of manure recycling and fertilizer use to meet crop nutrient demands and reduce nutrient losses, a case study in Quzhou, China W. Sun et al. 10.1016/j.agsy.2025.104321
- Developing a Spatial Soil Database with Environmental Variables: Experience of the Republic of Bashkortostan A. Suleymanov 10.1134/S1064229325601131
- Whole‐Profile Soil Carbon Responses to Concurrent Warming and Precipitation Changes Across Global Biomes M. Wang et al. 10.1111/gcb.70105
- A European soil organic carbon monitoring system leveraging Sentinel 2 imagery and the LUCAS soil data base B. van Wesemael et al. 10.1016/j.geoderma.2024.117113
- Збереження ґрунтових даних в Україні: досягнення та перспективи О. Бігун 10.31073/acss98-01
- Space-Time Variability of Maximum Daily Rainfall in Piura River Basin in Peru Related to El Niño Occurrence M. Farias de Reyes et al. 10.3390/w16233452
- Regional-scale soil carbon predictions can be enhanced by transferring global-scale soil–environment relationships L. Zhang et al. 10.1016/j.geoderma.2025.117466
- Increased plant productivity exacerbates subsoil carbon losses under warming via nitrogen mining M. Wang et al. 10.1038/s41561-025-01697-1
- Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance J. Berlingeri et al. 10.1007/s00122-025-04984-y
- Detecting change in belowground carbon stocks: Statistical feasibility and future opportunities from loblolly pine forests C. Vickery et al. 10.1016/j.foreco.2025.122970
- A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets Y. Wang et al. 10.1016/j.geoderma.2025.117200
- A long-term global Mollisols SOC content prediction framework: Integrating prior knowledge, geographical partitioning, and deep learning models with spatio-temporal validation X. Meng et al. 10.1016/j.rse.2024.114592
- Extensive Decline of Soil Nitrogen and Its Drivers in the Lake Victoria Basin of Tropical Africa (1996–2015) S. Sun & S. Chen 10.1002/ldr.70045
- Facilitating Effective Reuse of Soil Research Data: The BonaRes Repository S. Lachmuth et al. 10.1111/ejss.70103
18 citations as recorded by crossref.
- Pruned hierarchical Random Forest framework for digital soil mapping: Evaluation using NEON soil properties C. Xu et al. 10.1016/j.geoderma.2025.117392
- Neural network estimation of thermal conductivity across full saturation for various soil types Y. Fu et al. 10.1016/j.compag.2025.110321
- Global soil organic and inorganic carbon vulnerability in response to irrigation Q. Tang et al. 10.1038/s43247-025-02591-9
- Spatio-temporal mapping reveals changes in soil organic carbon stocks across the contiguous United States since 1955 C. Yang et al. 10.1038/s43247-025-02605-6
- Deltaic freshwater scarcity driven by unsustainable groundwater-fed irrigation A. Getirana et al. 10.1038/s41893-025-01566-0
- Optimization of manure recycling and fertilizer use to meet crop nutrient demands and reduce nutrient losses, a case study in Quzhou, China W. Sun et al. 10.1016/j.agsy.2025.104321
- Developing a Spatial Soil Database with Environmental Variables: Experience of the Republic of Bashkortostan A. Suleymanov 10.1134/S1064229325601131
- Whole‐Profile Soil Carbon Responses to Concurrent Warming and Precipitation Changes Across Global Biomes M. Wang et al. 10.1111/gcb.70105
- A European soil organic carbon monitoring system leveraging Sentinel 2 imagery and the LUCAS soil data base B. van Wesemael et al. 10.1016/j.geoderma.2024.117113
- Збереження ґрунтових даних в Україні: досягнення та перспективи О. Бігун 10.31073/acss98-01
- Space-Time Variability of Maximum Daily Rainfall in Piura River Basin in Peru Related to El Niño Occurrence M. Farias de Reyes et al. 10.3390/w16233452
- Regional-scale soil carbon predictions can be enhanced by transferring global-scale soil–environment relationships L. Zhang et al. 10.1016/j.geoderma.2025.117466
- Increased plant productivity exacerbates subsoil carbon losses under warming via nitrogen mining M. Wang et al. 10.1038/s41561-025-01697-1
- Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance J. Berlingeri et al. 10.1007/s00122-025-04984-y
- Detecting change in belowground carbon stocks: Statistical feasibility and future opportunities from loblolly pine forests C. Vickery et al. 10.1016/j.foreco.2025.122970
- A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets Y. Wang et al. 10.1016/j.geoderma.2025.117200
- A long-term global Mollisols SOC content prediction framework: Integrating prior knowledge, geographical partitioning, and deep learning models with spatio-temporal validation X. Meng et al. 10.1016/j.rse.2024.114592
- Extensive Decline of Soil Nitrogen and Its Drivers in the Lake Victoria Basin of Tropical Africa (1996–2015) S. Sun & S. Chen 10.1002/ldr.70045
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 24 Aug 2025
Short summary
Soils are an important provider of ecosystem services. This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at a broad scale. 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 three measures to assess "fitness for intended use" of the standardised data.
Soils are an important provider of ecosystem services. This dataset provides quality-assessed...
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