SuperDARN data in netCDF format (2020-Mar)

2020-Mar 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/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.'

2020年3月发布的netCDF格式SuperDARN雷达数据。本批次文件采用公开FitACF算法的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。
相关研究支持工具（RST）可通过以下链接获取：https://github.com/SuperDARN/rst
SuperDARN相关研究成果的取得，有赖于多国科学家与工程师团队在雷达搭建与运维、数据处理与共享、数据产品开发优化以及协助用户解读数据等多方面的不懈努力。SuperDARN数据及数据产品的使用者需在学术报告与出版物中对上述支持致以谢意，下文提供了规范的致谢表述示例。
使用者在投稿发表前，还需咨询SuperDARN项目的首席研究员（PI）。雷达站点与首席研究员的名录及联系方式可参见《SuperDARN雷达概况》。
SuperDARN数据使用的标准致谢格式如下："作者感谢对SuperDARN数据的使用。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资助机构支持的雷达观测阵列。"