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Case Sudy for "Integrated Geosciences Observatory: A software solution to remove barriers to collaboration and achieve computational reproducibility in geospace sciences"

Bhatt, Asti; Valentic, Todd; Reimer, Ashton; Lamarche, Leslie; Reyes, Pablo; Cosgrove, Russell


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3564835", 
  "title": "Case Sudy for \"Integrated Geosciences Observatory: A software solution to remove barriers to collaboration and achieve computational reproducibility in geospace sciences\"", 
  "issued": {
    "date-parts": [
      [
        2019, 
        12, 
        5
      ]
    ]
  }, 
  "abstract": "<p>Resen bucket for producing the case study shown in &quot;Integrated Geosciences Observatory: A software solution to remove barriers to collaboration and achieve computational reproducibility in geospace sciences&quot;, submitted to Journal of Space Weather and Space Climate, December 2019.&nbsp; This can be run by downloading the case_study.tar file and using the import command in Resen.&nbsp; Information about how to use and install resen can be found at https://resen.readthedocs.io/en/latest/.</p>\n\n<p>The following datasets were used in this research:</p>\n\n<p><strong>MANGO:</strong></p>\n\n<p>Bhatt, A. and Kendell, E. (2015).&nbsp; Data from the MANGO database.&nbsp; Available from https://mangonetwork.org/ (Last accessed 25 November 2019).</p>\n\n<p><strong>OMNI:</strong></p>\n\n<p>We acknowledge use of NASA/GSFC&#39;s Space Physics Data Facility&#39;s OMNIWeb (or CDAWeb or ftp) service, and OMNI data.</p>\n\n<p>King, J.H. and N.E. Papitashvili, Solar wind spatial scales in and comparisons of hourly Wind and ACE plasma and magnetic field data, J. Geophys. Res., 110, A02104, 2005.</p>\n\n<p><strong>SuperMAG:</strong></p>\n\n<p>Gjerloev, J. W. (2012), The SuperMAG data processing technique, J. Geophys. Res., 117, A09213, doi:10.1029/2012JA017683.</p>\n\n<p>Mann, I. R., et al. (2008), The upgraded CARISMA magnetometer array in the THEMIS era, Space Sci. Rev., 141, 413&ndash;451, doi:10.1007/s11214-008-9457-6.</p>\n\n<p><strong>TEC:</strong></p>\n\n<p>Anthea Coster, MIT/Haystack Observatory. (2015) Data from the CEDAR Madrigal database. Available from https://w3id.org/cedar?experiment_list=experiments3/2015/gps/07nov15&amp;file_list=gps151107g.002.hdf5</p>\n\n<p><strong>FPI:</strong></p>\n\n<p>Makela J. (2015). Data from the CEDAR Madrigal database, CEDAR Madrigal Database. Available from https://w3id.org/ cedar?experiment_list=experiments/2015/uao/06nov15&amp;file_list= minime05_uao_20151106.cedar.002.hdf5 (Last accessed 25 November 2019).</p>\n\n<p>Makela J. (2015). Data from the CEDAR Madrigal database, CEDAR Madrigal Database. Available from https://w3id.org/ cedar?experiment_list=experiments/2015/ann/06nov15&amp;file_list= minime08_ann_20151106.cedar.003.hdf5 (Last accessed 25 November 2019).</p>\n\n<p><strong>SuperDARN:</strong></p>\n\n<p>Greenwald, R.A., Baker, K.B., Dudeney, J.R. et al. Space Sci Rev (1995) 71: 761. <a href=\"https://doi.org/10.1007/BF00751350\">doi:10.1007/BF00751350</a></p>\n\n<p>&nbsp;</p>\n\n<p>The following software was used in this project:</p>\n\n<p><strong>Resen:</strong></p>\n\n<p>Integrated Geoscience Observatory Team. 2019a. Resen. Version 2019.1.0rc2. Available from https://github.com/EarthCubeInGeo/ resen (Last accessed 6 December 2019).</p>\n\n<p>Integrated Geoscience Observatory Team. 2019b. Resen-core. Version 2019.1.0rc2. Available from https://github.com/ EarthCubeInGeo/resen-core (Last accessed 6 December 2019)</p>\n\n<p><strong>MadrigalWeb:</strong></p>\n\n<p>Rideout W. 2017. MadrigalWeb. Version 3.1.11. Available from https:// pypi.org/project/madrigalWeb/ (Last accessed 6 December 2019).</p>\n\n<p><strong>numpy:</strong></p>\n\n<p>St&eacute;fan van der Walt, S. Chris Colbert and Ga&euml;l Varoquaux. The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science &amp; Engineering, 13, 22-30 (2011), DOI:10.1109/MCSE.2011.37</p>\n\n<p><strong>matplotlib:</strong></p>\n\n<p>John D. Hunter. Matplotlib: A 2D Graphics Environment, Computing in Science &amp; Engineering, 9, 90-95 (2007), <a href=\"https://zenodo.org/record/3264781\">DOI:10.5281/zenodo.3264781</a></p>\n\n<p><strong>h5py:</strong></p>\n\n<p>A. Collette, Python and HDF5, O&#39;Reilly (2014) (http://shop.oreilly.com/product/0636920030249.do)</p>\n\n<p><strong>cartopy:</strong></p>\n\n<p>Cartopy. v0.11.2. 22-Aug-2014. Met Office. Exeter, Devon, UK. https://github.com/SciTools/cartopy/archive/v0.11.2.tar.gz</p>\n\n<p><strong>mangopy:</strong></p>\n\n<p>Lamarche, L. J., Bhatt, A., Reimer, A., and Reyes, P. (2019). mangopy. May 2019.</p>\n\n<p><strong>pydarn:</strong></p>\n\n<p>Schmidt, M.T., Detwiller, M.H., Billet, D.D., Bland, E. C., Burrell, A. G., Kotyk, K., Peters, D. GO., Reimer, A. S., Sterne, K. T., and Thomas, E. G. (2020). pyDARN, v1.0.0, January 2020.</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "Bhatt, Asti"
    }, 
    {
      "family": "Valentic, Todd"
    }, 
    {
      "family": "Reimer, Ashton"
    }, 
    {
      "family": "Lamarche, Leslie"
    }, 
    {
      "family": "Reyes, Pablo"
    }, 
    {
      "family": "Cosgrove, Russell"
    }
  ], 
  "note": "This work was supported by the US National Science Foundation grants ICER-1541057 and CSSI-1835573 to SRI International.", 
  "version": "v01", 
  "type": "article", 
  "id": "3564835"
}
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