TC and DOD data for Zhu et al., 2024

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Wang, Yuan;Zhu, Laiyin

Description

•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

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.5

FAIR Score

62%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Stanford Digital Repository

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

30%

Source

Scholar Data Model

Keywords

TC rainfall, dust optical depth, SHIPS

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00