Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
44
datasets available to search
ShareScore release 0.9.0
Dataset results
44 results for “Josephson junction”
Data and code for "Superconducting switching jump induced missing first Shapiro step in Al-InSb nanosheet Josephson junctions"
<p><strong>Brief description</strong></p> <p>This repository contains data, code, and other materials for "Superconducting switching jump induced missing first Shapiro step in Al-InSb nanosheet Josephson junctions" (arXiv:2403.07370). </p> <p><strong>Data formats</strong></p> <ul> <li>DAT: Plain-text tabular data.<br>DAT files can be visualized by Spyview, qtplot (a portable version for Windows can be downloaded <a href="https://github.com/cover-me/qtplot/releases/download/2020.09.21/qt_plot.2020.09.21.7z">here</a>), Jupyter notebooks in ZIP files or <a href="https://github.com/cover-me/qtview">here</a>.</li> <li>SET: Instrument settings.</li> <li>PY: Measurement scripts.</li> <li>IPYNB or HTML: Jupyter notebooks with code and figures. IPYNB can be previewed on this <a href="https://kokes.github.io/nbviewer.js/viewer.html">page</a>.</li> </ul>
Selective-Area-Grown PbTe-Pb Planar Josephson Junctions for Quantum Devices
<p>This repository contains the raw data and processing codes within the paper "Selective-Area-Grown PbTe-Pb Planar Josephson Junctions for Quantum Devices".</p>
Data and Code for "Phase-dependent microwave response of a graphene Josephson junction"
<p>This data set contains the measurement data and its metadata of the publication "Phase-dependent microwave response of a graphene Josephson junction". Additionally, the MatLab scripts for raw data processing are provided.</p>
Data for "Transparent Josephson Junctions in Higher-Order Topological Insulator WTe2 via Pd Diffusion"
<p>Data for the publication "Transparent Josephson Junctions in Higher-Order Topological Insulator WTe<sub>2</sub> via Pd Diffusion".</p> <p>Updated version as accepted by Physical Review Materials. </p>
Josephson ϕ0-junction in nanowire quantum dots
<p>These are all the raw data sets and subsequent processing of data used to generate the figures of the paper titled 'Josephson <em>ϕ</em><sub>0</sub>-junction in nanowire quantum dots'.</p>
Kerr nonlinearity and parametric amplification with an Al-InAs superconductor-semiconductor Josephson junction
<h1>Brief description</h1> <p><br>This repository contains data, code, and other materials for "Kerr nonlinearity and parametric amplification with an Al-InAs superconductor-semiconductor Josephson junction". Files are zipped by types (data, fabrication, measurement code and results) and experiments (Kerr nonlinearity measurements and parametric amplifier experiment).</p> <h1><br>Data formats:</h1> <p>.db: database file storing all measured data. QCoDeS version 0.39.1, QCoDeS github repo: https://github.com/microsoft/Qcodes. Please refer to 'plottr' tool to view the database files: https://github.com/toolsforexperiments/plottr . Plottr version: 0.0<br>.gds: GDSII pattern files for Litography<br>.ipynb: ipython notebooks that run measurements<br>.py: python scripts for generating the GDSII patterns or conducting measurements<br>.emz: AWR projects (model and data), AWR design environment version is 22.1<br>others: figures, etc..</p> <h1><br>File structure and instruction:</h1> <p>GDS patterns << GDS files for simulations and device fabrication<br> 4cavtunable_nocost_Q150-300_top-GND_bot-OP.gds << the GDS for device B, used in AWR simulation for BBQ model.<br> Distributed_JJFET_sim_v12.gds << the GDS for device A, used in AWR simulation for BBQ model.<br> Distributed_JJFET_sim_v12.py << the python script to generate the 'sim' GDS<br> Distributed_JJFET_v12.gds << the GDS pattern for fabrication (e-beam lithography)<br> Distributed_JJFET_v12.py << the python script to generate the 'fab' GDS<br>AWR_simulation << files of microwave simulations<br> Compare_P1db.ipynb << simulate P1dB of AlOx based JPA and Al-InAs based JPA<br> plots << Raw plots from Compare_P1db.ipynb<br> 202312 single JJ compression power.emz << AWR project for simulating P1dB of AlOx based JPA and Al-InAs based JPA<br> extra data << extra AWR data (user-defined format) to plot the gain versus pump frequency and power for Al-InAs based JPA - AWR tends to run out of system memory, therefore I manually divided the simulation task into small segements, and save data after each small tasks.<br> Series BBQ - device B.emz << AWR project to derive the BBQ model for device B<br> Series BBQ - device A.emz << AWR project to derive the BBQ model for device A<br>Code-Kerr-measurement<br> Compute and compare c4c2 << code that takes the measured Kerr into the c4/c2 ratio <br> Kerr fit device A.ipynb << code to analyze Kerr of device A, database file needed is jjfeta0425.db<br> Kerr fit device B.ipynb << code to analyze Kerr of device B, database file needed is 0722.db<br> Data_analysis_IMD.ipynb << code to analyze Kerr of device B using intermodulation spectroscopy, data needed is Data_IMD<br> Data_analysis_plots << Raw plots from data analysis codes<br>Code-Parametric_amp<br> Data_acquisition.ipynb << code to take measurements<br> Data_analysis_parametric_noise_ratio_plot.ipynb << code for analyzing the noise visibility ratio of the 4WM amp, database files needed are jjfeta0226.db <br> Data_analysis_parametric_amp.ipynb << code for analyzing the parametric amplification, including gain, bandwidth etc., database files needed are jjfeta0226.db, jjfeta0225.db, jjfeta0223.db, jjfetamp0113-3.db<br> Data_analysis_plots << Raw plots from data analysis codes<br>Data << raw data for analysis<br> Data-4WM_parametric_amplifier << data for the parametric amplifier<br> jjfeta0226.db <br> jjfeta0225.db<br> jjfeta0223.db<br> jjfetamp0113-3.db<br> Data-Kerr_measurement << data for the Kerr measurement (Stark shift)<br> jjfeta0425.db<br> 0722.db<br> Data_IMD << data for the Kerr measurement on device B (IMD)</p>
Data and code for "Tunable Superconducting diode effect in higher-harmonic interferometers made from Al-InSb nanosheet Josephson junctions"
<p><strong>Brief Description</strong></p> <p>This repository contains data and analysis file code for "Tunable Superconducting diode effect in higher-harmonic interferometers made from Al-InSb nanosheet Josephson junctions".</p> <p><strong>Data formats</strong></p> <ul> <li>DAT: Plain-text tabular data.<br>DAT files can be visualized by Spyview, qtplot, Jupyter notebooks in ZIP files.</li> <li>SET: Instrument settings.</li> <li>PY: Measurement scripts.</li> <li>IPYNB: Jupyter notebooks with code and figures.</li> </ul>
Current Induced Hidden States in Josephson Junctions
<p>Data file for manuscript "Current Induced Hidden States in Josephson Junctions"</p>
Dataset for the publication Demonstration of dual Shapiro steps in small Josephson junctions
<p>This dataset set provides all the measurement data in txt file nedded to generate the figures in the article. Furthermore the three databases with all taken data of the sample is provided</p>
Enhancement of topological regime in elongated Josephson junctions - code
<p>Here are the codes to generate the whole data of the paper.</p>
Robust gap closing and reopening in topological-insulator Josephson junctions - Dataset
<p>This dataset contains experimental and numerical data as presented in the revised manuscript 'Robust gap closing and reopening in topological-insulator<br>Josephson junctions' by Jakob Schluck, Ella Nikodem, Anton Montag, Alexander Ziesen, Mahasweta Bagchi, Fabian Hassler, and Yoichi Ando.</p> <p>The data presented in the experimental figures is given in csv files, where the physical quantities and their units are described in the headers.</p> <p>The matlab code used for generating the parameter sweeps presented in figure 3b and figure 5 can be found in the simulations folder.</p> <p>Regarding the data presented in figure 2a and 2b as well as supplementary figure S10, obtained by numerical simulations, please consider the following:</p> <p>simulation.py:<br> Program used for the Kwant-simulation. It produces the file 'data.npz'. N denotes<br> the number of points that have to be calculated along energy and phase.</p> <p>plot.py:<br> Program that uses 'data.npz' as input and produces the plot shown in the manuscript.</p> <p> The temperature is introduced by smearing the zero-temperature data with the Fermi<br> functions due to the lead.</p> <p> As the BCS peak is very sharp, we are not sure that we hit it for each value of the<br> phase. Because of this, we postprocess the data by a running average over 100 points<br> in the phase.</p> <p>data.npz:<br> Data-file in numpy format<br> The conductance for zero temperature is saved on a regular grid<br> 'xs': the energy values<br> 'ys': the phase values<br> 'data': the conductance values</p> <p> Note that the values in the file are obtained by a combination of different runs<br> where care have been taken to sample more points close to the BCS peak, followed<br> by an interpolation to bring the data on a regular grid. Because of the interpolation,<br> the values reported in the file 'data.npz' can slightly differ from the value obtained<br> by running simulation.py at the respective point.</p> <p> </p>
Greedy optimization of the geometry of Majorana Josephson junctions
<p>Code used to produce figures of "Greedy optimization of the geometry of Majorana Josephson junctions".</p>
Supercurrent, Multiple Andreev Reflections and Shapiro Steps in InAs Nanosheet Josephson Junctions
<p>This file contains the raw data and processing codes of the paper 'Supercurrent, Multiple Andreev Reflections and Shapiro Steps in InAs Nanosheet Josephson Junctions'.</p> <p> High-quality free-standing InAs nanosheets are emerging layered semiconductor materials with potentials in designing planar Josephson junction devices for novel physics studies due to their unique properties including strong spin-orbit couplings, large Landé g-factors and the two dimensional nature. Here, we report an experimental study of proximity induced superconductivity in planar Josephson junction devices made from free-standing InAs nanosheets. The nanosheets are grown by molecular beam epitaxy and the Josephson junction devices are fabricated by directly contacting the nanosheets with superconductor Al electrodes. The fabricated devices are explored by low-temperature carrier transport measurements. The measurements show that the devices exhibit a gate-tunable supercurrent, multiple Andreev reflections, and a good quality superconductor-semiconductor interface. The superconducting characteristics of the Josephson junctions are investigated at different magnetic fields and temperatures, and are analyzed based on the Bardeen-Cooper-Schrieffer (BCS) theory. The measurements of ac Josephson effect are also conducted under microwave radiations with different radiation powers and frequencies, and integer Shapiro steps are observed. Our work demonstrates that InAs nanosheet based hybrid devices are desired systems for investigating forefront physics, such as the two-dimensional topological superconductivity.</p>
Data and Code for 'Supercurrent through a single transverse mode in nanowire Josephson junctions'
<ul> <li>This repository contains data, code, and other materials for the ''Supercurrent through a single transverse mode in nanowire Josephson junctions''</li> </ul> <p><strong>Guideline:</strong></p> <ul> <li>Extract data and simulation results and python scripts in the same address.</li> </ul> <p><strong>Files:</strong></p> <ul> <li>Raw_data_and_simulation_results.zip: Full original raw data, measurement, and simulation results (plotted extended data beyond paper figures) zipped for different cooldowns.</li> <li>Figure.zip: Paper figures, raw figure data, and data-processing code for paper figures.</li> <li>Python script for generating the main text figure.zip: Paper figures, raw figure data, and data-processing code for paper main text figures.</li> <li>Python script for generating the supplementary figure.zip: Paper figures, raw figure data, and data-processing code for paper supplementary figures.</li> <li>Tin_QPC_paper_simulation_code:Code used to reproduce simulation results in the paper. </li> <li>Tin_QPC_log: Full measurement log and ppt summary</li> </ul> <p>Data formats</p> <ul> <li>MTX: A simple 2D/3D matrix format developed for Spyview.</li> <li>DAT: Plain-text tabular data. DAT and MTX files can be plotted with Spyview, qtplot (a portable version for Windows can be downloaded <a href="https://github.com/cover-me/qtplot/releases/download/2020.09.21/qt_plot.2020.09.21.7z">here</a>), and Jupyter notebooks in ZIP files or here.</li> <li>SET: Instrument settings.</li> <li>PY: Measurement scripts.</li> <li>IPYNB: Jupyter notebooks with code and figures. They can be previewed on this page.</li> </ul>
Proximity effect in PbTe-Pb hybrid nanowire Josephson junctions
<p>This repository contains the raw data and processing code of the paper "Proximity effect in PbTe-Pb hybrid nanowire Josephson junctions".</p>
Data for 'Phase-dependent Andreev molecules and superconducting gap closing in coherently coupled Josephson junctions'
<p>An Igor file stores source data for the two figures showing the experimental results in the main manuscript and the supplementary figures. </p>
Enhanced proximity effect in zigzag-shaped Majorana Josephson junctions
<p>Dataset and source code for the paper "Enhanced proximity effect in zigzag-shaped Majorana Josephson junctions".</p>
Supporting data for "Tuning the supercurrent distribution in parallel ballistic graphene Josephson junctions"
<p>Supporting data and analysis scripts for all figures in the article "Tuning the supercurrent distribution in parallel ballistic graphene Josephson junctions".</p> <p>The files are sorted according to the figures/panels in the publication.</p> <p>For the data evaluation Matlab (version R2022b) has been used.</p>
Data and Code associated to the paper "Quantum simulation of the tricritical Ising model in tunable Josephson junction ladders"
<p>Modern hybrid superconductor-semiconductor Josephson junction arrays are a promising platform for analog quantum simulations. Their controllable and non-sinusoidal energy/phase relation opens the path to implement nontrivial interactions and study the emergence of exotic quantum phase transitions. Here, we propose the analysis of an array of hybrid Josephson junctions defining a 2-leg ladder geometry for the quantum simulation of the tricritical Ising phase transition. This transition provides the paradigmatic example of minimal conformal models beyond Ising criticality and its excitations are intimately related with Fibonacci non-Abelian anyons and topological order in two dimensions. We study this superconducting system and its thermodynamic phases based on bosonization and matrix-product-states techniques. Its effective continuous description in terms of a three-frequency sine-Gordon quantum field theory suggests the presence of the targeted tricritical point and the numerical simulations confirm this picture. Our results indicate which experimental observables can be adopted in realistic devices to probe the physics and the phase transitions of the model. Additionally, our proposal provides a useful one-dimensional building block to design exotic topological order in two-dimensional scalable Josephson junction arrays.</p>
Gate-controlled Near Surface Josephson Junctions
Open the record for dataset details and reuse information.
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.