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Training Dataset for Deep Learning-Based Identification of Foreshock Transient Events

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Zenodo2026-06-24 更新2026-06-28 收录
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https://zenodo.org/doi/10.5281/zenodo.20826623
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资源简介:
These files contain observational data from the Cluster 1 spacecraft used for foreshock transient identification. The initial training datasets are: `train_ft_init.pkl`: 83 foreshock transient events from 2003–2009, selected from the Wang et al. (2013) catalog. `train_sw_init.pkl`: 350 solar wind intervals from 2003–2009, selected from the Michotte de Welle et al. (2024) catalog. The final training datasets are: `train_ft_final.pkl` `train_sw_final.pkl` These final datasets include the initial training events together with additional events selected during the validation process. Each file contains the following columns: `Time`: timestamp in YYYY-MM-DD hh:mm:ss format Magnetic field components, `Bx`, `By`, and `Bz`, in nT Bulk velocity components, `Vx`,`Vy`,`Vz`, in km s(^{-1}) Ion number density, `n`, in cm(^{-3}) Ion temperature, `T`, in eV Ion thermal pressure, `P`, in km(^2) s(^{-2}) cm(^{-3}) Ion energy spectrogram with 31 energy channels, in keV cm(^{-2}) s(^{-1}) sr(^{-1}) keV(^{-1})
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Zenodo
创建时间:
2026-06-24
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