SuperDARN Grid data in netCDF format (2005-Oct)

2005-Oct 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.'2005年10月的SuperDARN雷达网络通用数据格式（netCDF）数据。本数据集采用公开的FitACF与make_grid算法的3.0版本生成，坐标系使用修正地磁坐标v2（AACGM v2）。若在学术出版物中使用本数据集，请务必引用。相关RST工具包可从以下链接获取：https://github.com/SuperDARN/rst 依托SuperDARN开展的研究，离不开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、数据处理与开放共享、数据产品的开发优化与迭代，以及协助用户开展数据解译工作。因此，SuperDARN数据及数据产品的使用者需在学术报告与发表成果中对相关支持致以谢意，具体致谢说明如下。 此外，在投稿准备发表的成果前，建议使用者先联系SuperDARN的首席研究员（PI）。包含雷达列表及首席研究员联系方式的汇总信息可参阅：(SuperDARN雷达总览) <strong>SuperDARN数据使用推荐致谢格式：</strong>'本研究使用了SuperDARN数据。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国以及美利坚合众国的国家科学基金机构资助建设的雷达组网系统。'