Published August 2, 2025
| Version v0.0.2
Technical note
Open
Extended data for 'Machine learning-based identification of key biotic and abiotic drivers of mineral weathering rate in a complex enhanced weathering experiment'
Authors/Creators
Contributors
Researcher (20):
-
Janssens, Iris1
- Servotte, Thomas2
- Calogiuri, Tullia3
- Mortier, Steven1
- Niron, Harun4
- Corbett, Thomas5
- Poetra, Reinaldy P.6
- Rieder, Lukas6
- Van Tendeloo, Michiel4
- Singh, Abhijeet5
- Latré, Steven1
- Vlaminck, Siegfried E.4
- Hartmann, Jens6
- van Groenigen, Jan Willem3
- Neubeck, Anna5
- Vidal, Alix
- Janssens, Ivan A.
- Hagens, Mathilde7
- Vicca, Sara4
- Verdonck, Tim2
- 1. University of Antwerp - imec - IDLab, Department of Computer Science, Sint-Pietersvliet 7, 2000, Antwerp, Belgium
- 2. University of Antwerp - imec, Department of Mathematics, Middelheimlaan 1, 2020, Antwerp, Belgium
- 3. Wageningen University & Research, Soil Biology Group, Droevendaalsesteeg 3, 6708 PB, Wageningen, the Netherlands
- 4. University of Antwerp, Department of Bioscience Engineering, Biobased Sustainability Engineering (SUSTAIN), Groenenborgerlaan 171, 2000, Antwerp, Belgium
- 5. Uppsala University, Department of Earth Sciences, Villaväagen 16, 752 36, Uppsala, Sweden
- 6. University of Hamburg, Institute for Geology, Center for Earth System Research and Sustainability, Bundesstraße 55, 20146, Hamburg, Germany
- 7. Wageningen University & Research, Department of Soil Chemistry, Droevendaalsesteeg 3, 6708 PB, Wageningen, the Netherlands
Description
Extended data for paper "Machine learning-based identification of key biotic and abiotic drivers of mineral weathering rate in a complex enhanced weathering experiment" - Open Research Europe, including CC0-1.0 license
Files
STAN-UAntwerp/h2020_bam_extended_data-v0.0.2.zip
Additional details
Related works
- Is supplement to
- Publication: 10.12688/openreseurope.19252.1 (DOI)
Software
- Repository URL
- https://github.com/STAN-UAntwerp/h2020_bam_extended_data