SuperDARN data in netCDF format (2006-Feb)

2006-Feb 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.'

本数据集为2006年2月的超级双极光雷达网（SuperDARN）雷达数据，格式为网络通用数据格式（netCDF）。本数据集采用公开的FitACF算法2.5与3.0版本生成，使用第二代自适应地磁坐标系统（AACGM v2）。若在学术出版物中使用本数据集，请予以引用。
RST工具包可从以下链接获取：https://github.com/SuperDARN/rst
SuperDARN所支撑的研究成果，离不开全球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、数据处理与共享、数据产品的开发与优化，以及协助用户进行数据解译。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该项目的支持予以鸣谢。下文提供了鸣谢SuperDARN数据使用的规范表述示例。
拟将研究成果投稿发表前，使用SuperDARN数据的用户还需先联系SuperDARN项目负责人（PI）。包含各雷达站及项目负责人联系方式的清单可参见：（SuperDARN雷达概览）
推荐的SuperDARN数据使用鸣谢表述格式如下：
'作者谨此鸣谢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、英国以及美国的国家科学基金机构资助的雷达组网项目。'