Wallops SuperDARN data in netCDF format (2024-Feb)

2024-Feb Wallops 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.'2024年2月的沃勒普斯（Wallops）SuperDARN雷达数据集采用网络通用数据格式（netCDF）存储。本数据集使用公开FitACF算法的2.5与3.0版本进行处理，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。 相关研究软件工具包（Research Software Toolkit, RST）可通过以下链接获取：https://github.com/SuperDARN/rst SuperDARN相关研究的开展，依托全球多国科学家与工程师团队的共同付出：他们负责雷达系统的搭建与运维、数据处理与共享服务、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，需在学术报告与出版物中对上述支持予以致谢。本文档下文提供了SuperDARN数据使用致谢的规范表述示例。 若您计划将研究成果投稿至学术期刊，建议提前与SuperDARN项目首席研究员（Principal Investigator, PI）取得联系。各雷达站点及其首席研究员的联系方式列表可参阅《SuperDARN雷达总览》。 SuperDARN数据使用致谢标准表述范例： '作者谨此致谢SuperDARN数据的使用授权。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国国家科学基金机构共同资助建设的雷达观测网络。'