SuperDARN Grid data in netCDF format (2007-Nov)

2007-Nov SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, 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/rstThe 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)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'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2007年11月的超级双极光雷达网络（SuperDARN）雷达数据，采用网络通用数据格式（netCDF）存储。所有数据文件均基于公开的FitACF与make_grid算法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，请引用本数据集。 RST工具包可从以下地址获取：https://github.com/SuperDARN/rst 超级双极光雷达网络（SuperDARN）所支撑的各项研究，离不开全球多国科学家与工程师团队的共同努力：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，以及协助用户开展数据解译工作。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撑工作致谢。下文提供了SuperDARN数据使用的致谢规范表述示例。 投稿拟发表的研究成果前，用户还需先联系SuperDARN项目负责人（Principal Investigator，PI）进行沟通。包含雷达与项目负责人联系方式的清单，可通过以下链接查看：(SuperDARN Radar Overview) <strong>SuperDARN数据使用致谢规范表述：</strong>“作者感谢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、英国及美国的国家科学基金机构资助的雷达观测网络。”