APA (7th ed.) Citation

Hengl, T., Consoli, D., Tian, X., Nauman, T. W., Nussbaum, M., Isik, M. S., . . . Harris, N. (2025). OpenLandMap-soildb: Global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations. Earth System Science Data Discussions, 1. https://doi.org/10.5194/essd-2025-336

Chicago Style (17th ed.) Citation

Hengl, Tomislav, et al. "OpenLandMap-soildb: Global Soil Information at 30 M Spatial Resolution for 2000–2022+ Based on Spatiotemporal Machine Learning and Harmonized Legacy Soil Samples and Observations." Earth System Science Data Discussions 2025: 1. https://doi.org/10.5194/essd-2025-336.

MLA (9th ed.) Citation

Hengl, Tomislav, et al. "OpenLandMap-soildb: Global Soil Information at 30 M Spatial Resolution for 2000–2022+ Based on Spatiotemporal Machine Learning and Harmonized Legacy Soil Samples and Observations." Earth System Science Data Discussions, 2025, p. 1, https://doi.org/10.5194/essd-2025-336.