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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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TropiCycloneNet Dataset: A Large-Scale Open-Source Multimodal Global Tropical Cyclone Forecasting Dataset

Authors: Huang, Cheng; Mu, Pan; Zhang, Jinglin; Chan, Sixian; Zhang, Shiqi; Yan, Hanting; Chen, Shengyong; +1 Authors

TropiCycloneNet Dataset: A Large-Scale Open-Source Multimodal Global Tropical Cyclone Forecasting Dataset

Abstract

This project introduces the details of the TropiCycloneNet Dataset, a comprehensive dataset for studying tropical cyclones (TCs). It includes Data1d, Data3d, and environmental data collected for various tropical cyclones in the major oceanic regions from 1950 to 2023. The dataset is aimed at providing valuable insights for tropical cyclone research and predictive modeling. More details can be checked at https://github.com/xiaochengfuhuo/TropiCycloneNet-Dataset

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average