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SuperDARN data in netCDF format (2002-Nov)

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https://zenodo.org/record/6787031
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2002-Nov 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.'

2002年11月的netCDF格式SuperDARN雷达数据集。本批次文件采用公开的FitACF算法2.5与3.0版本生成,坐标系采用AACGM v2。若在学术出版物中使用本数据集,请予以引用。 相关RST工具包可在此处获取:https://github.com/SuperDARN/rst 依托SuperDARN开展的研究,得益于多国科学家与工程师团队的共同努力:他们负责雷达的搭建与运维、数据处理与开放获取、数据产品的开发与改进,并协助用户进行数据解译。SuperDARN数据及数据产品的使用者,需在学术报告与发表论文中对上述支持致以谢意。下文提供了致谢SuperDARN数据使用的规范示例。 使用者在提交拟发表的研究成果前,还需咨询SuperDARN的首席研究员(Principal Investigator,PI)。收录雷达与首席研究员联系方式的名录可在此处查阅:(SuperDARN雷达概览) 推荐的SuperDARN数据使用致谢格式为: "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、英国以及美利坚合众国的国家科学基金机构资助的雷达探测网络。"
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2022-07-05
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