Our data

2026


February 2026


mLDNDCv1.0: A Machine Learning-based Surrogate of LandscapeDNDC for Optimising Cropping Systems in Denmark

Aderele, Meshach & Haas, Edwin & Liu, Licheng & Serra, João & Kraus, David & Butterbach-Bahl, Klaus & Rahimi, Jaber. (2026). mLDNDCv1.0: A Machine Learning-based Surrogate of LandscapeDNDC for Optimising Cropping Systems in Denmark. https://doi.org/10.5281/zenodo.18573226.


2025


November 2025


Data and code for: A general framework for nitrogen deposition effects on soil respiration in global forests

Cen, X., Vitousek, P., He, N. et al. A general framework for nitrogen deposition effects on soil respiration in global forests. Nat Commun (2025). https://doi.org/10.5281/zenodo.17670031 

Cropland is trapped outside a safe and agronomically viable nitrogen use

Serra, João & Lassaletta, Luis & Quemada, M. & Ros, Gerard & Vries, Wim & Treat, Claire & Rahimi, Jaber & Giannini Kurina, Franca & Graversgaard, Morten & Grinsven, Hans & Sanz-Cobena, Alberto & Aderele, Meshach & Dalgaard, T. & Butterbach-Bahl, Klaus. (2025). Cropland is trapped outside a safe and agronomically viable nitrogen use. https://doi.org/10.6084/m9.figshare.30657122.v1

Global daily 9 km remotely sensed soil moisture (2015–2025) with microwave radiative transfer-guided learning

Feng, S., Li, A., Zhou, R., Butterbach-Bahl K., Guan, K., Jin, Z., Looms., M.C., Wang, S., Igel, C., Olesen, J.E., Wang, S. Improved global SMAP daily 9 km surface soil moisture dataset with microwave radiative transfer process-guided machine learning (2015 - 2025). Scientific data (under review). https://doi.org/10.5281/zenodo.17572709.


September 2025


Evaluation of global research on agricultural nitrogen pollution between 1990 and 2023: challenges for more efficacy and equity [Under review on Science & Environmental Policy]

Serra, J. (2025). Evaluation of global research on agricultural nitrogen pollution between 1990 and 2023: challenges for more efficacy and equity [Under review on Science & Environmental Policy] [Data set]. Zenodo. https://doi.org/10.6084/m9.figshare.26335510


Irrigation is a considerable nitrogen input in global cropland [Under review on Nature Sustainability]

Serra, J. (2025). Irrigation is a considerable nitrogen input in global cropland [Under review on Nature Sustainability] [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.29470148


July 2025


Global daily 9 km remotely sensed soil moisture (2015–2025) with microwave radiative transfer-guided learning

Feng, S., Li, A., Zhou, R., Butterbach-Bahl, K., Guan, K., Jin, Z., Looms, M. C., Wang, S., Igel, C., Treat, C., Olesen, J. E., & Wang, S. (2025). Global daily 9 km remotely sensed soil moisture (2015–2025) with microwave radiative transfer-guided learning (Version V1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15826989


2024


October 2024


MartinReinhard10/In-Situ_Soil_Optode_Control: In-situ_soil_optode_Control

MartinReinhard10. (2024). MartinReinhard10/In-Situ_Soil_Optode_Control: In-situ_soil_optode_Control (v1.0). Zenodo. https://doi.org/10.5281/zenodo.13919007


MartinReinhard10/In-Situ_Soil_Optode_Supplementary_Material: Supplemtary_Material_in-situ_soil_optode

MartinReinhard10. (2024). MartinReinhard10/In-Situ_Soil_Optode_Supplementary_Material: Supplementary_Material_in-situ_soil_optode (v1.0). Zenodo. https://doi.org/10.5281/zenodo.13918877