SuperDARN data in netCDF format (2016-Jul)

2016-Jul 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.'

2016年7月的netCDF格式SuperDARN雷达数据。本批数据集采用公开FitACF算法3.0版本、AACGM v2坐标系生成。若在学术出版物中使用本数据，请对本数据集予以引用。
相关RST代码仓库地址：https://github.com/SuperDARN/rst

依托SuperDARN开展的研究成果，离不开多国科学家与工程师团队的辛勤付出——他们参与雷达的搭建与运维、数据处理与共享、数据产品的研发与优化，并协助用户开展数据解读工作。使用SuperDARN数据及数据产品的用户，需在学术汇报与发表成果中对上述支持予以致谢。以下提供SuperDARN数据使用的致谢参考说明：

用户在投稿发表前，亦可咨询SuperDARN项目首席研究员（Principal Investigator，PI）。包含雷达清单及首席研究员联系方式的列表可查阅以下链接：（SuperDARN雷达概览）

SuperDARN数据使用标准致谢范式：
"作者感谢SuperDARN数据的使用支持。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建设的雷达组网系统。"