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

The development of the GeospaceLAB package is supported by the Kvantum Institute at University of Oulu. AK and LC acknowledge postdoc grant DNR-155A/17 funded by Swedish National Space Agency. YD was supported by AFOSR through award FA9559-16-1-0364 and NASA grants 80NSSC20K0195, 80NSSC20K1786 and 80NSSC22K0061. S-RZ acknowledges MURI grant ONR15-FOA-0011 and NSF grant AGS-2033787. HV was supported by the Academy of Finland project 314664. The authors acknowledge all the developers who developed the dependencies used in GeospaceLAB. The authors also acknowledge the data providers listed in Table 1 to support the open access of data. Millstone Hill ISR observation, GNSS TEC data processing, and Madrigal database system are provided to the community by MIT under the US NSF grant AGS-1952737 support. We acknowledge use of NASA/GSFC’s Space Physics Data Facility’s OMNIWeb (or CDAWeb or ftp) service, and OMNI data.

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.