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资源简介:
A list of ARMAS_RBSP conjunction for statistical studies.
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创建时间:
2024-12-31
相关数据集
Sunspot on 1921-2011
Long-term sunspot observations are key to understanding and predicting the solar activities and its effects on space weather. Consistent observations, which are crucial for...
B2FIND20
LLAMACoRe v1.0
Repository for the data set in the LLAMACoRe 2024 Space Weather paper. LLAMACoRe_v1.0.txt contains the full set of all the compiled reconstructions. LLAMACoRe_BC_v1.0.txt contains the best-constrained
Zenodo2024-01-05 更新10
Predicting the geoeffectiveness of CMEs using machine learning
Coronal mass ejections (CMEs) are the most geoeffective space weather phenomena, being associated with large geomagnetic storms, and having the potential to cause disturbances...
Virginia Open Data10
DataSheet1_Predicting CME arrival time through data integration and ensemble learning.PDF
The Sun constantly releases radiation and plasma into the heliosphere. Sporadically, the Sun launches solar eruptions such as flares and coronal mass ejections (CMEs). CMEs carry away a huge amount of
NIAID Data Ecosystem20
Quick PUNCH Clear Mosaics (Trefoil) Data
QuickPUNCH are images, derived from the Level 2 data, that are intended to be useful for space weather forecasting. They use a time-asymmetric background modeling scheme that...
NASA Open Data Portal10



