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| Type: | Resource | |
| Storage: | The size of this resource is 18.5 MB | |
| Created: | Oct 25, 2024 at 1:56 a.m. | |
| Last updated: | Oct 28, 2024 at 12:48 p.m. (Metadata update) | |
| Published date: | Oct 28, 2024 at 12:48 p.m. | |
| DOI: | 10.4211/hs.6c9217f8d84b4558a321eaee65e395dd | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
The uploaded dataset comprises two folders:
1. “Model Prediction” Folder: This folder contains the complete dataset utilized in this study, along with the trained neural network. It enables users to reproduce the results presented in Figure 8 (training and testing outcomes) and facilitates the application of the model to additional soil datasets.
2. “Global Map of Model Parameters” Folder: This folder demonstrates an example application of the trained model, where the authors used SSCBD data from a global hydraulic properties dataset to generate and visualize the global distribution of the MLD model parameters.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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