Software Open Access

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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    <subfield code="a">&lt;p&gt;Resen bucket for producing the case study shown in &amp;quot;Integrated Geosciences Observatory: A software solution to remove barriers to collaboration and achieve computational reproducibility in geospace sciences&amp;quot;, submitted to Journal of Space Weather and Space Climate, December 2019.&amp;nbsp; This can be run by downloading the case_study.tar file and using the import command in Resen.&amp;nbsp; Information about how to use and install resen can be found at https://resen.readthedocs.io/en/latest/.&lt;/p&gt;

&lt;p&gt;The following datasets were used in this research:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;MANGO:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Bhatt, A. and Kendell, E. (2015).&amp;nbsp; Data from the MANGO database.&amp;nbsp; Available from https://mangonetwork.org/ (Last accessed 25 November 2019).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;OMNI:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;We acknowledge use of NASA/GSFC&amp;#39;s Space Physics Data Facility&amp;#39;s OMNIWeb (or CDAWeb or ftp) service, and OMNI data.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;SuperMAG:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Gjerloev, J. W. (2012), The SuperMAG data processing technique, J. Geophys. Res., 117, A09213, doi:10.1029/2012JA017683.&lt;/p&gt;

&lt;p&gt;Mann, I. R., et al. (2008), The upgraded CARISMA magnetometer array in the THEMIS era, Space Sci. Rev., 141, 413&amp;ndash;451, doi:10.1007/s11214-008-9457-6.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;TEC:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;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;amp;file_list=gps151107g.002.hdf5&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;FPI:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;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;amp;file_list= minime05_uao_20151106.cedar.002.hdf5 (Last accessed 25 November 2019).&lt;/p&gt;

&lt;p&gt;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;amp;file_list= minime08_ann_20151106.cedar.003.hdf5 (Last accessed 25 November 2019).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;SuperDARN:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Greenwald, R.A., Baker, K.B., Dudeney, J.R. et al. Space Sci Rev (1995) 71: 761. &lt;a href="https://doi.org/10.1007/BF00751350"&gt;doi:10.1007/BF00751350&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The following software was used in this project:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Resen:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Integrated Geoscience Observatory Team. 2019a. Resen. Version 2019.1.0rc2. Available from https://github.com/EarthCubeInGeo/ resen (Last accessed 6 December 2019).&lt;/p&gt;

&lt;p&gt;Integrated Geoscience Observatory Team. 2019b. Resen-core. Version 2019.1.0rc2. Available from https://github.com/ EarthCubeInGeo/resen-core (Last accessed 6 December 2019)&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;MadrigalWeb:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Rideout W. 2017. MadrigalWeb. Version 3.1.11. Available from https:// pypi.org/project/madrigalWeb/ (Last accessed 6 December 2019).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;numpy:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;St&amp;eacute;fan van der Walt, S. Chris Colbert and Ga&amp;euml;l Varoquaux. The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science &amp;amp; Engineering, 13, 22-30 (2011), DOI:10.1109/MCSE.2011.37&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;matplotlib:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;John D. Hunter. Matplotlib: A 2D Graphics Environment, Computing in Science &amp;amp; Engineering, 9, 90-95 (2007), &lt;a href="https://zenodo.org/record/3264781"&gt;DOI:10.5281/zenodo.3264781&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;h5py:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;A. Collette, Python and HDF5, O&amp;#39;Reilly (2014) (http://shop.oreilly.com/product/0636920030249.do)&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;cartopy:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Cartopy. v0.11.2. 22-Aug-2014. Met Office. Exeter, Devon, UK. https://github.com/SciTools/cartopy/archive/v0.11.2.tar.gz&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;mangopy:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Lamarche, L. J., Bhatt, A., Reimer, A., and Reyes, P. (2019). mangopy. May 2019.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;pydarn:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</subfield>
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