GeospaceLAB: Python package for managing and visualizing data in space physics

• Published in: Frontiers in Astronomy and Space Sciences
• Main Authors: Cai, Lei, Aikio, Anita, Kullen, Anita, Deng, Yue, Zhang, Yongliang, Zhang, Shun-Rong, Virtanen, Ilkka, Vanhamäki, Heikki
• Other Authors: Kvantum-Instituutti, Oulun Yliopisto, Swedish National Space Agency, Academy of Finland, National Science Foundation, National Aeronautics and Space Administration, Air Force Office of Scientific Research
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Frontiers Media SA 2022
• Subjects: Omni; EISCAT
• Online Access: https://doi.org/10.3389/fspas.2022.1023163; https://www.frontiersin.org/articles/10.3389/fspas.2022.1023163/full

In the space physics community, processing and combining observational and modeling data from various sources is a demanding task because they often have different formats and use different coordinate systems. The Python package GeospaceLAB has been developed to provide a unified, standardized frame...