遇见数据集

SuperDARN data in netCDF format (2006-Apr)

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Zenodo2022-06-13 更新2026-05-25 收录
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2006-Apr SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

2006年4月的netCDF格式SuperDARN雷达数据。本数据集采用公开的FitACF算法2.5与3.0版本生成,坐标系采用AACGM v2。若在学术出版物中使用本数据集,请予以引用。相关RST工具可访问:https://github.com/SuperDARN/rst 依托SuperDARN开展的研究,离不开全球多国科学家与工程师团队的不懈努力:他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发与优化,并协助用户进行数据解译。因此,SuperDARN数据及数据产品的使用者,需在学术汇报与出版物中对该支持予以致谢。下文提供了SuperDARN数据使用的致谢规范示例。 此外,若计划将研究成果投稿发表,使用者需先与SuperDARN的首席研究员(Principal Investigator,PI)沟通。雷达与首席研究员名录及联系方式可参阅:<SuperDARN雷达概览> **SuperDARN数据使用致谢规范表述:**"作者感谢SuperDARN数据的使用许可。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美利坚合众国的国家科学基金机构共同资助的雷达组网。"

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Zenodo
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2022-06-10
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