SuperDARN data in netCDF format (2015-Jun)

2015-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.'

本数据集为2015年6月的SuperDARN雷达数据，采用netCDF格式存储。所有数据文件均基于公开FitACF算法的2.5与3.0版本生成，并使用了AACGM v2坐标系。若在学术出版物中使用本数据集，请务必进行引用。
相关RST工具包可从以下链接获取：https://github.com/SuperDARN/rst
SuperDARN支持下的相关研究，离不开全球多国科学家与工程师团队的共同付出：他们参与雷达的搭建与运维、数据处理与共享、数据产品的开发与优化，同时为用户提供数据解译协助。使用SuperDARN数据及数据产品的用户，需在学术报告与正式出版物中对上述支持予以致谢。下文将简要说明使用SuperDARN数据的致谢规范。
若拟将研究成果投稿至学术期刊，用户需提前与SuperDARN的首席研究员（PI）进行沟通。包含雷达信息与PI联系方式的列表可从以下链接获取：《SuperDARN雷达概览》（SuperDARN Radar Overview）
使用SuperDARN数据的标准致谢表述如下：
「作者谨此致谢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、英国以及美国的国家科学基金机构资助的雷达观测网络。」