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Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux Transfer Events on the Ionosphere"

<p>Dataset and Python Scripts used in the manuscript &quot;Global-MHD Simulations using MagPIE : Impact of Flux Transfer Events on the Ionosphere&quot;.</p> <p>Authors: Arghyadeep Paul, Antoine Strugarek and Bhargav Vaidya<br> Date: 21 May, 2023</p> <p>&nbsp;</p> <ul> <li>Figure 1 has been plotted from two data files named Bx_By_Bz_prs_t_4783_C0.vtk and Bx_By_Bz_prs_t_4783_C1.vtk using the visualisation toolkit VisIt. Visit can be freely downloaded from https://wci.llnl.gov/simulation/computer-codes/visit</li> <li>Figure 2 has been plotted using the ipython notebook named &quot;figure_2.ipynb&quot; and the associated data files have been uploaded alongwith.</li> <li>Figure 3 has been plotted using the data file named &quot;visit_prs_Bx_By_Bz_t_4964s.vtk&quot; and the visualisation toolkit VisIt.</li> <li>Figure 4 has been plotted using the associated data files and the visualisation toolkit VisIt.</li> <li>Figures 5 and 6 has been plotted using the ipython notebook named &quot;new_fig_5_and_6.ipynb&quot; and the associated data files have been uploaded alongwith.</li> <li>Figure 7 has been plotted using the ipython notebook named &quot;figure_7.ipynb&quot; and the associated data files have been uploaded alongwith.</li> <li>Figure 8 has been plotted using the ipython notebook named &quot;figure_8.ipynb&quot; and the associated data files have been uploaded alongwith.</li> <li>Figure 9 has been plotted using the ipython notebook named &quot;figure_9.ipynb&quot; and the associated data files have been uploaded alongwith. An example swarm CSV data file is added for the python script. The original SWARM data can be downloaded from&nbsp;<a href="https://swarm-diss.eo.esa.int/">https://swarm-diss.eo.esa.int/</a>&nbsp;and the FAC data from two spacecrafts, Swarm A and C, named SW_OPER_FAC_TMS_2F&nbsp;has been used. This data was first published in Dong et.al. 2023 [https://doi.org/10.1029/2022GL102460].</li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4