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Dataset results
10 results for “Semiconductor nanowires”
Data and analysis for the paper "Nonlocal measurement of quasiparticle charge and energy relaxation in proximitized semiconductor nanowires using quantum dots"
<p>This repository contains the raw data and analysis code used to generate the figures in the manuscript <em>Nonlocal measurement of quasiparticle charge and energy relaxation in proximitized semiconductor nanowires using quantum dots</em>. </p> <p><a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.106.064503">Link to publication</a></p> <p><a href="https://arxiv.org/abs/2110.05373">Link to arXiv</a></p>
Improved effective equation for the Rashba spin-orbit coupling in semiconductor nanowires (dataset)
<p><strong>Description</strong></p> <p>This repository contains the dataset required to reproduce all the figures of the article "Samuel D. Escribano, Alfredo Levy Yeyati and Elsa Prada,<em> </em><strong><em>Improved effective equation for the Rashba spin-orbit coupling in semiconductor nanowires</em></strong>, arXiv:2001.04375 (2020)".</p> <p> </p> <p><strong>Structure of the dataset</strong></p> <p>All the data is saved in Matlab file-format .mat. Their file names correspond to the figure that they plot. Together with each dataset, there is a Python script .py which plots the corresponding figure. The output of every script is the corresponding figure in PDF-format .pdf. Please, read "reedme.txt" file for further information.</p>
Large zero-bias peaks in InSb-Al hybrid semiconductor-superconductor nanowire devices
<p>Measurement data, data processing scripts and figure generating notebooks for Zhang et al., "Large zero-bias peaks in InSb-Al hybrid semiconductor-superconductor nanowire devices".</p>
Gate-tunable subband degeneracy in semiconductor nanowires
<p>This repository contains the raw data and processing codes within the paper "Gate-tunable subband degeneracy in semiconductor nanowires".</p>
Data underlying "Ballistic superconductivity in semiconductor nanowires"
<p>This repository contains the raw data underlying <a href="https://dx.doi.org/10.1038/ncomms16025">H. Zhang <em>et al</em>. Ballistic superconductivity in semiconductor nanowires. Nat. Commun. <strong>8,</strong> 16025 (2017)</a></p> <p>It also contains python notebooks for plotting data as shown in the paper, as well as additional plots, developed in 2022.</p>
Data of "Universal platform for scalable semiconductor-superconductor nanowire networks '
<p>Data of "Universal platform for scalable semiconductor-superconductor nanowire networks '</p>
Quantized Andreev conductance in semiconductor nanowires
<p>This repository contains the raw data and processing codes within the paper "Quantized Andreev conductance in semiconductor nanowires".</p>
Weyl points in the multi-terminal Hybrid Superconductor-Semiconductor Nanowire devices
<p>Code and data points to obtain Figures in the manuscript</p>
Full data for 'Signatures of Majorana fermions in hybrid superconductor-semiconductor nanowire devices' Science 336, 1003-1007 (2012)
<p>This Zenodo record contains full original data pertaining to </p> <p>V. Mourik, K. Zuo, S.M. Frolov, S.R. Plissard, E.P.A.M. Bakkers and L.P. Kouwenhoven</p> <p>Signatures of Majorana fermions in hybrid superconductor-semiconductor nanowire devices</p> <p>Science 336, 1003-1007 (2012)</p> <p><br> ---------------------------------------------</p> <p>Author contributions to this repository:</p> <p>Data were obtained between November 2011 and March 2012 by KZ, VM and SF. The files in the repository were organized by SF. </p> <p>LK supports making data files available but has not contributed and has not checked the quality of the files in this data repository.</p> <p>---------------------------------------------</p> <p>Original data obtained at the time of measurement are in the \Data folder. The folder also contains data selected for the paper.</p> <p>The repository also includes measurement logs (\Logs), and some plotting scripts (\Scipts)</p> <p>Folder \Analyses contains powerpoint files made at the time of measurement helpful for data overview</p> <p>---------------------------------------------</p> <p>Devices studied:</p> <p>N-nanowire-S device 1 (chip name 6F2 device 3 in this repository)<br> Device measured in the dilution refrigerator 'Oxford 200s', at the same time as device 3</p> <p>N-nanowire-S device 2 (chip name 6F4)<br> Device measured in the dilution refrigerator Frossati MCK-50 'Fristi', equipped with a 9-3-1 T vector magnet)</p> <p>M-nanowire-S device 3 (chip name 6F2 device 1 in this repository)<br> Device measured in the dilution refrigerator 'Oxford 200s', at the same time as device 1</p> <p>N-N devices (Chip name 6F8)<br> Devices measured in Frossati MNK fridge 'Big Frossati'</p> <p>S-S devices (Chip name 6E5)<br> Devices measured in the dilution refrigerator 'Oxford 200s'</p> <p>---------------------------------------------</p> <p><br> Data for devcies are obatined using QTLab: https://github.com/heeres/qtlab</p> <p>Most data for device2 are obtained using Igor Pro: https://www.wavemetrics.com/</p> <p><br> ---------------------------------------------<br> Data file types:</p> <p>data_NNN.dat - the original data file obtained at the time of the experiment<br> dataNNN.py - the original QTLab data acquisition script saved with data<br> data_NNN.set - settings of measurement instruments at the time of measurement<br> data_NNN.meta - auxillary file necessary for plotting data using SpyView (see below) </p> <p><br> NNN stands for dataset number, automatically indexex by QTLab</p> <p>--------------------------------------------</p> <p>How to plot data:</p> <p>1) Spyview - a free data plotting program written by Gary Steele</p> <p>Data in this repository can be simply dropped into Spyview for plotting. </p> <p>Spyview also produces and can read .mtx files which are available for some of the data in this repository.</p> <p>https://nsweb.tn.tudelft.nl/~gsteele/spyview/</p> <p><br> 2) QTPlot - a Python plotter written by Ruben van Gulik</p> <p>Data in this repository can be directly opened with QTPlot, which will read axis labels.</p> <p>https://github.com/Rubenknex/qtplot</p> <p>Note: requires PyQT4</p>
Data underlying "Electric field tunable superconductor-semiconductor coupling in Majorana nanowires"
<p>This repository contains an extended dataset of raw data underlying <a href="https://www.doi.org/10.1088/1367-2630/aae61d">M. W A de Moor <em>et al.</em>, Electric field tunable superconductor-semiconductor coupling in Majorana nanowires, New J. Phys. <strong>20</strong>, 103049 (2018)</a></p> <p>It also contains python notebooks for recreating the plots in the paper, developed in 2022/23.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.