Source data of Figure 2b & c in "Knowledge-guided artificial intelligence in global change ecology research"
Abstract
Source data for Figure 2b&c in the study "Knowledge-guided artificial intelligence in global change ecology research" to be published in Global Change Biology. The table contains two sheets, corresponding to the source data of Fig. 2b and 2c. They respectively come from Liu et al. (2024): "Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems" (https://doi.org/10.1038/s41467-023-43860-5) and Khandelwal et al. (2025): "Physics Guided Machine Learning Methods for Hydrology" (https://doi.org/10.48550/arXiv.2012.02854).
Fields of Study & Subjects
Hydrological Forecasting Using AI
Plant Water Relations and Carbon Dynamics
Model Reduction and Neural Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Language
- EN
- Document type
- Dataset