TC and DOD data for Zhu et al., 2024
Abstract/Contents
- Abstract
• Our dataset contains both R (April23_24.RData and NOV1_23.mat) and Matlab data that we have created for the machine learning model and plots we included in the article
• All codes for model training and testing are shared with names “e.g., CodesForNoGeoModel”. All R codes for the Figures in the article is shared as “NewFig1-4”
• Codes for SI figures are also shared, such as “scatter_core_outer” and “SI_2”, etc
• R libraries “caret”, “xgboost”, “gridExtra”, “cowplot” need to be installed and loaded before running the codes listed
Description
| Type of resource | Dataset, cartographic |
|---|---|
| Date created | May 1, 2024 |
| Publication date | May 10, 2024; May 8, 2024 |
Creators/Contributors
| Author | Wang, Yuan |
|---|---|
| Author | Zhu, Laiyin |
Subjects
| Subject | TC rainfall, dust optical depth, SHIPS |
|---|---|
| Genre | Data |
| Genre | Database |
| Genre | Geospatial data |
| Genre | Data sets |
| Genre | Dataset |
| Genre | Databases |
| Genre | Cartographic dataset |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Wang, Y. and Zhu, L. (2024). TC and DOD data for Zhu et al., 2024. Stanford Digital Repository. Available at https://purl.stanford.edu/vh400jc1009. https://doi.org/10.25740/vh400jc1009.
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- yzwang@stanford.edu
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