SuperDARN data in netCDF format (1999-Jun)

1999-Jun 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.'

1999年6月的SuperDARN雷达数据采用网络通用数据格式（netCDF）存储。这批文件基于公开的FitACF算法2.5及3.0版本生成，并采用了AACGM v2坐标系统。若在学术出版物中使用本数据集，请予以引用。
相关RST工具可从以下地址获取：https://github.com/SuperDARN/rst
依托SuperDARN完成的各项研究，离不开全球多国科研与工程团队的辛勤付出——他们承担了雷达的搭建与运维、数据处理与共享、数据产品的开发优化，以及为用户提供数据解译支持等工作。使用SuperDARN数据及相关数据产品的用户，需在学术报告与发表成果中对上述支持致以谢意，下文提供了致谢SuperDARN数据使用的简要规范。
此外，用户在提交拟发表的研究成果前，需先咨询SuperDARN的首席研究员（Principal Investigator，PI）。包含雷达与首席研究员联系方式的清单可参阅《SuperDARN雷达概览》。
推荐的SuperDARN数据使用致谢格式为：
'作者谨致谢意，感谢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共同资助的雷达组网系统。'