An Integrated Auto-diagnosis Method for MAVEN SWEA Measurements: Validation and Statistical Analysis

Published: 11 May 2026| Version 2 | DOI: 10.17632/s2rhj3ghgk.2
Contributors:
Xin Wan,
,
,
,
, Jing Zhao,

Description

The contents of the data files are related with the manuscript "An Integrated Auto-diagnosis Method for MAVEN SWEA Measurements: Validation and Statistical Analysis" (2025JE009608) by Wan et al., The dataset provide the detection results of photoelectron, as well as the classification of different types of transition layers from MAVEN SWEA measured energetic electron flux data. The data could be used to reproduce the Figures in the manuscript.

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Institutions

Categories

Planetary Ionosphere, Space Physics

Funders

  • This research was supported by the Specialized Research Fund of CMA Key Laboratory of Space Weather
  • National Natural Science Foundation of China
    Beijing
    Grant ID: 42441814, 42374181, 42374186, 42104169, 42474231
  • Strategic Priority Research Program of Chinese Academy of Sciences
    Grant ID: XDB41000000
  • Key Innovation Team of China Meteorological Administration ‘Space Weather Monitoring and Alerting’
    Grant ID: CMA2024ZD01
  • ‘Ionospheric Forecast and Alerting’ Youth Innovation Team
    Grant ID: CMA2024QN09
  • Guangdong Basic and Applied Basic Research Foundation
    Grant ID: 2026A1515010909, 2022A1515011580, 2021A1515011216, 2020A1515110242

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