Commit f4b9502f authored by Leonie Pick's avatar Leonie Pick

Included information regarding current software releases to Readme.md

parent f04834d3
......@@ -31,9 +31,9 @@ Regions (C/SIRs) and Class 1 holds storms driven by Interplanetary Coronal Mass
executed by a supervised binary logistic regression model in the framework of python's scikit-learn library.
### How to run ClassifyStorms?
Download the GitLab project 'ClassifyStorms' from http://gitext.gfz-potsdam.de/lpick/ClassifyStorms by clicking on the 'Download'
button (top right). Additionally, download the data set 'Input.nc' from GFZ Data Services ( http://doi.org/10.5880/GFZ.2.3.2019.003 ) and place it into
the extracted directory 'ClassifyStorms-master'. Navigate to ClassifyStorms-master and start the jupyter server
Download the latest release of the GitLab project 'ClassifyStorms' from https://gitext.gfz-potsdam.de/lpick/ClassifyStorms/-/releases by clicking on the 'Source code'
button. Additionally, download the data set 'Input.nc' from GFZ Data Services ( http://doi.org/10.5880/GFZ.2.3.2019.003 ) and place it into
the extracted directory 'ClassifyStorms-V.x.x.x'. Navigate to ClassifyStorms-V.x.x.x and start the jupyter server
(http://jupyter.org) by typing 'jupyter notebook' into the command line. This will open the jupyter 'Home' in your web
browser. Select 'ClassifyStorms.ipynb' from the list and run the notebook by clicking 'Run'.
......@@ -46,6 +46,6 @@ browser. Select 'ClassifyStorms.ipynb' from the list and run the notebook by cli
project's master branch (destination).
### References
+ The original version of this software is a supplement to Pick et al., Earth and Space Science, 2019 (submitted).
+ The release 1.0.1 of this software is a supplement to Pick et al., Earth and Space Science, 2019.
+ Details on the HMC index are given in Pick et al., JGR Space Physics, 2019
( http://doi.org/10.1029/2018JA026185, with data published under http://doi.org/10.5880/GFZ.2.3.2018.006 ).
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