遇见数据集

SuperDARN Grid data in netCDF format (2006-Sep)

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Zenodo2023-03-14 更新2026-05-26 收录
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2006-Sep 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.'

2006年9月的netCDF格式SuperDARN雷达数据集。此类文件基于公开版本3.0的FitACF与make_grid算法生成,并采用AACGM v2坐标系。若在学术出版物中使用本数据集,请引用该数据集。 相关RST软件可通过以下链接获取:https://github.com/SuperDARN/rst SuperDARN支持的各项研究成果,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、数据处理与共享、数据产品的开发与优化,并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,需在学术报告与出版物中对上述支持予以致谢。下文提供了致谢SuperDARN数据使用的规范表述示例。 投稿至学术期刊前,用户还需咨询SuperDARN的项目负责人(Principal Investigator,PI)。雷达设备与项目负责人的联系方式清单可通过以下链接查阅:(SuperDARN雷达概况) **使用SuperDARN数据的标准致谢表述如下:** "作者对SuperDARN数据的使用表示致谢。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资助机构支持建设的雷达观测网络。"

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Zenodo
创建时间:
2023-03-13
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