edu.ucar.opensky::articles:25960 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T19:56:50.721409 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7bg2svj https://doi.org/10.5281/zenodo.7005203 https Related Dataset #1 Dataset and Jupyter notebook for "pyDARN: A Python Software for Visualizing SuperDARN Radar Data" https://doi.org/10.5281/zenodo.1182735 https Related Software #1 SciTools/cartopy: v0.21.1 https://doi.org/10.5281/zenodo.3727270 https Related Software #2 SuperDARN/pydarn: pyDARN v1.0.0 release https://doi.org/10.5281/zenodo.3824466 https Related Software #3 vtsuperdarn/davitpy: Final release of davitpy https://doi.org/10.5281/zenodo.4437229 https Related Software #4 aburrell/aacgmv2: Version 2.6.2 https://doi.org/10.5281/zenodo.5914211 https Related Software #5 SuperDARN/pyDARNio: pyDARNio v1.1.1 https://doi.org/10.5281/zenodo.6473574 https Related Software #6 SuperDARN/pydarn: pyDARN v3.0 https://doi.org/10.5281/zenodo.6473603 https Related Software #7 SuperDARN Radar Software Toolkit (RST) 4.7 pyDARN: A Python software for visualizing SuperDARN radar data 2022-12-01T00:00:00Z publication https://n2t.org/ark:/85065/d7bg2svj https://doi.org/10.3389/fspas.2022.1022690 Shi, Xueling author Schmidt, M. author Martin, C. J. author Billett, D. D. author Bland, E. author Tholley, F. H. author Frissell, N. A. author Khanal, K. author Coyle, S. author Chakraborty, S. author Detwiller, M. author Kunduri, B. author McWilliams, K. author UCAR/NCAR - Library publisher The Super Dual Auroral Radar Network (SuperDARN) is an international network of high frequency coherent scatter radars that are used for monitoring the electrodynamics of the Earth's upper atmosphere at middle, high, and polar latitudes in both hemispheres. pyDARN is an open-source Python-based library developed specifically for visualizing SuperDARN radar data products. It provides various plotting functions of different types of SuperDARN data, including time series plot, range-time parameter plot, fields of view, full scan, and global convection map plots. In this paper, we review the different types of SuperDARN data products, pyDARN's development history and goals, the current implementation of pyDARN, and various plotting and analysis functionalities. We also discuss applications of pyDARN, how it can be combined with other existing Python software for scientific analysis, challenges for pyDARN development and future plans. Examples showing how to read, visualize, and interpret different SuperDARN data products using pyDARN are provided as a Jupyter notebook. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation