SuperDARN data in netCDF format (2017-Jan)

2017-Jan 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.'

2017年1月的SuperDARN雷达数据采用netCDF格式存储。本数据集采用公开FitACF算法3.0版本及AACGM v2坐标系生成。若在学术出版物中使用本数据集，请予以引用。

相关RST代码可通过以下链接获取：https://github.com/SuperDARN/rst

SuperDARN支持下取得的研究成果，离不开多国科学家与工程师团队在雷达搭建运维、数据处理与共享、数据产品研发迭代以及协助用户解读数据等方面的不懈付出。

使用SuperDARN数据及数据产品的用户，需在学术报告与出版物中对上述支持予以致谢。下文提供了SuperDARN数据使用致谢的规范示例。

若拟将研究成果投稿发表，建议用户先咨询SuperDARN的首席研究员（Principal Investigator，PI）。包含雷达及首席研究员联系方式的清单可通过以下链接查阅：
（SuperDARN雷达概览）

SuperDARN数据使用的标准致谢格式如下：
“作者感谢SuperDARN数据的使用授权。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国国家科学资助机构支持建设的雷达组网系统。”