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Full data for 'Experimental phase diagram of zero-bias conductance peaks in superconductor/semiconductor nanowire devices'

Chen,Jun; Frolov, Sergey


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    "description": "<p>This repository contains experimental data for the following paper:<br>\nExperimental phase diagram of zero-bias conductance peaks in superconductor/semiconductor nanowire devices<br>\nAuthors: Jun Chen, Peng Yu, John Stenger, Mo&iuml;ra Hocevar, Diana Car, S&eacute;bastien R. Plissard, Erik P.A.M. Bakkers, Tudor D. Stanescu, Sergey M. Frolov</p>\n\n<p>Content of this repository:&nbsp;</p>\n\n<p>Readme file.&nbsp;</p>\n\n<p>/RawData/<br>\nOriginal data obtained at the time of measurement for devices 1014-841 and 1115A4. ZBP phase diagram data was measured on device 1014-841; Hard gap data was measured on device 1115A4</p>\n\n<p>/Measurement notes/<br>\nAll the measurement data was summarized in powerpoints, catagorized by the name of the device.</p>\n\n<p>/Data of paper figures/<br>\nAll the organized data files for the figures in the main text and supplementary information.</p>\n\n<p>Data file types:<br>\ndata_NNN.dat &nbsp;- the original data file obtained at the time of the experiment<br>\ndataNNN.py &nbsp; &nbsp;- the original QTLab data acquisition script saved with data<br>\ndata_NNN.set &nbsp;- settings of measurement instruments at the time of measurement<br>\ndata_NNN.meta - auxillary file necessary for plotting data using SpyView (see below)&nbsp;<br>\ndata_NNN.MTX &nbsp;- a simple 2D/3D matrix format developed for Spyview</p>\n\n<p>NNN stands for dataset number, automatically indexed by QTLab</p>\n\n<p>How to plot data:</p>\n\n<p>1) Spyview - a free data plotting program written by Gary Steele</p>\n\n<p>Data in this repository can be simply dropped into Spyview for plotting.&nbsp;</p>\n\n<p>Spyview also produces and can read .mtx files which are available for some of the data in this repository.</p>\n\n<p>https://nsweb.tn.tudelft.nl/~gsteele/spyview/</p>\n\n<p><br>\n2) QTPlot - a Python plotter written by Ruben van Gulik</p>\n\n<p>Data in this repository can be directly opened with QTPlot, which will read axis labels.</p>\n\n<p>https://github.com/Rubenknex/qtplot</p>\n\n<p>Note: requires PyQT4</p>", 
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