遇见数据集

SuperDARN data in netCDF format (2005-Nov)

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Zenodo2026-01-27 更新2026-05-25 收录
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2005-Nov SuperDARN radar data in netCDF format. These files were produced using version 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/rst The 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) Recommended form of acknowledgement for the use of SuperDARN data: '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.'

2005年11月的SuperDARN雷达数据,采用netCDF格式存储。这批数据文件基于公开的FitACF算法3.0版本生成,并采用AACGM v2坐标系进行坐标标定。若在学术成果中使用本数据集,请务必对其进行引用标注。 RST可在此处获取:https://github.com/SuperDARN/rst SuperDARN相关研究的开展,有赖于多国科学家与工程师团队的共同努力——他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发迭代,以及为用户提供数据解译协助。使用SuperDARN数据及数据产品的用户,需在学术报告与发表成果中对相关支持工作致谢。下文提供了使用SuperDARN数据的标准致谢表述示例。 投稿拟发表的学术成果前,用户还需与SuperDARN项目首席研究员(PI)进行沟通咨询。包含雷达与首席研究员联系方式的列表可在此处查阅:(SuperDARN雷达概览) 使用SuperDARN数据的标准致谢表述如下: "作者致谢使用SuperDARN数据。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国以及美国的国家科学资助机构支持建设的雷达观测阵列。"

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2022-06-13
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