Find research datasets worth reusing

opencc-by-4.0Jan 2021View details →

Data and codes for "A cryogenic electro-optic interconnect for superconducting devices"

Here you find all raw data files and processing Python scripts for plots presented in "A cryogenic electro-optic interconnect for superconducting devices" Amir Youssefi, et.al. Nature Electronics 2021

opencc-by-4.0May 2024View details →

A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset

Simulated sydromes measurement of quantum surface code error correction. Used for the paper: "<a href="https://doi.org/10.48550/arXiv.2307.09463">A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction</a>". File names: <code>d-<surface_code_distance>_pfr-<physical_fault_rate>_nb-<number_of_samples></code> Each file is formatted as csv with the following columns: <ul> <li>label: binary label (0: no error, 1: error)</li> <li>syndromes: syndrome measurement sequence (tuples of the form (round, syndromes))</li> <li>quantity: number of samples for this label + syndrome sequence</li> </ul> Only distance 3 is currently available with 10M samples for each physical fault rate. The data generation relies on <a href="https://github.com/quantumlib/Stim" target="_blank" rel="noopener">Stim</a>.

opencc-by-4.0May 2024View details →

A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Simulation Data

Simulation output data used to generate figures of the paper: "<a href="https://doi.org/10.48550/arXiv.2307.09463">A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction</a>"

opencc-by-4.0Sep 2024View details →

Cryogenically Cooled Periodically Poled Lithium Niobate Wafer Stacks for Multi-Cycle Terahertz Pulses

Dataset used for the figures in the paper: "Cryogenically Cooled Periodically Poled Lithium Niobate Wafer Stacks for Multi-Cycle Terahertz Pulses" by Dalton et al. Accepted for publication in Applied Physics Letters on the 6th September 2024.

opencc-by-4.0Jan 2023View details →

Datasets for "Cryogenic sensor enabling broad-band and traceable power measurements"

Python code and data used to generate the plots in "Cryogenic sensor enabling broad-band and traceable power measurements".  <table> <tbody> <tr> <td>File/Folder</td> <td>Description</td> </tr> <tr> <td> Article_Plots_25Jan2023.ipynb </td> <td>main code to analyze and plot the data</td> </tr> <tr> <td>Data</td> <td>sub-folder that includes data analyzed by the code</td> </tr> <tr> <td>Figures</td> <td>sub-folder for figures generated by the code</td> </tr> </tbody> </table> The code requires an installation of <a href="https://qcodes.github.io/Qcodes/start/index.html">QCoDeS</a> to run.

opencc-by-4.0Mar 2023View details →

Cryogenic hyperabrupt strontium titanate varactors for sensitive reflectometry of quantum dots

Supplementary Data for: "Cryogenic hyperabrupt strontium titanate varactors for sensitive reflectometry of quantum dots" Rafael S. Eggli, Simon Svab,Taras Patlatiuk, Dominique Trüssel, Miguel J. Carballido, Pierre Chevalier Kwon, Simon Geyer, Ang Li, Erik P. A. M. Bakkers, Andreas V. Kuhlmann, and Dominik M. Zumbühl

opencc-by-4.0Jun 2023View details →

Dataset: Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics

Dataset of the publication "Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics", F. Thiele, et al., in the journal Materials for Quantum Technology (2023). Abstract: <blockquote> Lithium niobate has emerged as a promising platform for integrated quantum optics, enabling efficient generation, manipulation, and detection of quantum states of light. However, integrating single-photon detectors requires cryogenic operating temperatures, since the best performing detectors are based on narrow superconducting wires. While previous studies have demonstrated the operation of quantum light sources and electro-optic modulators in LiNbO3 at cryogenic temperatures, the thermal transition between room temperature and cryogenic conditions introduces additional effects that can significantly influence device performance. In this paper, we investigate the generation of pyroelectric charges and their impact on the optical properties of lithium niobate waveguides when changing from room temperature to 25 K, and vice versa. We measure the generated pyroelectric charge flow and correlate this with fast changes in the birefringence acquired through the Sénarmont-method. Both electrical and optical influence of the pyroelectric effect occur predominantly at temperatures above 100 K. </blockquote>

opencc-by-4.0Sep 2024View details →

Cryogenic feed-forward of a Photonic Quantum State

################################################################################# ################################################################################# ################################################################################# Supplemental material for 'Cryogenic feed-forward of a Photonic Quantum State' ################################################################################# ################################################################################# ################################################################################# ################################################################################# Simulation: ################################################################################# simulation.py     - simulation script used to calculate expected g(2)(0) values for various experimental settings     - uncomment the the parts of the setting you want to plot     - the POVM matrix of the 4 pixel SNSPD calculated by Timon Schapeler     - used to calculate the response of the 4 pixel detector to a given photon number ################################################################################# G2 Measurements: ################################################################################# Coincidences_xxx.csv     bidirectional coincidence Histogramms of various events (see below) at an idler mean photon number     The collums indicate the number of counts in a given timebin     timebins are indicative of the relative time difference between two events     binsize: 250ps          Row contents are:         no photon number resolution         0: coincidence HBT detector 1 and modulator trigger         1: coincidence HBT detector 2 and modulator trigger         2: coincidence HBT detector 2 and virtual channel of detector 1 heralded with the modulator trigger         3: coincidence HBT detector 1 and virtual channel of detector 2 heralded with the modulator trigger         4: coincidence HBT detector 1 and detector 2         selecting single photons         5: coincidence HBT detector 1 and modulator trigger         6: coincidence HBT detector 2 and modulator trigger         7: coincidence HBT detector 2 and virtual channel of detector 1 heralded with the modulator trigger         8: coincidence HBT detector 1 and virtual channel of detector 2 heralded with the modulator trigger         9: coincidence HBT detector 1 and detector 2         selecting two photons         10: coincidence HBT detector 1 and modulator trigger         11: coincidence HBT detector 2 and modulator trigger         12: coincidence HBT detector 2 and virtual channel of detector 1 heralded with the modulator trigger         13: coincidence HBT detector 1 and virtual channel of detector 2 heralded with the modulator trigger         14: coincidence HBT detector 1 and detector 2 ################################################################################# Cryogenic Electronics ################################################################################# Threshold Sweep Map.csv     observed countrate under pulsed coherent state input. The repetition rate 600kHz for the pulsed 1550nm laser.     axis: Threshold settings ranging from 30mV to 150mV in 2mV steps     The columns correspond to a sweep of the high level threshold.     The rows correspond to a sweep of the low level threshold. ################################################################################# Source: ################################################################################# SHG_Spectrum.csv     The resulting spectrum of the SHG conversion with the periodically poled LiNbO3 crystal. The intensity is normalized to the maximum amplitude. JointSpectrum_Wavelength.csv JointSpectrum_Countrate.csv     Dataset of the joint spectral intensity in counts/s. The used incremental wavelength steps are given in the file.      The presented joint spectrum is acquired after the PDC-process. ################################################################################# Modulator: ################################################################################# ModulatorSweep_Output.csv ModulatorSweep_Voltage.csv ModulatorSweep_Wavelength.csv     Characterisation scan of the cryogneic electro-optic modulator. The wavelength and voltage of modualtor is swept while the throughput power is acquired.     The dataset is acquired with a narrow band laser with a FWHM of 1pm. The dataset is plotted in the supplementary material. Time_ModulationTrace.csv DrivingSignal_ModulationTrace.csv ResponsSignal_ModulationTrace.csv     Optical response of the croygenic photonic circuit when light is detected in the idler arm. The driving signal is generated by the SNSPD, amplifier, discriminator and modulator driver.     The driving signal is acquired from the cryogneic circuit into a room temperature 50Ohm load.      The response signal of is acquired by sending constant power through the electro-optic modulator at 1550nm.     The driving signal is generated by the complete cryogenic SNSPD, amplifier, discriminator and modulator driving connected to the modulator.     The signal is acquired with a room temperature photodiode.      The time steps are given in the file. modulator_S_parameters.csv     The measured S parameters of the modulator measured with CW light and a photodiode     Collums are: frequency [MHz] : S11 amplitude [dB] : S11 Phase [Degrees] : S21 amplitude [dB] : S21 Phase [Degrees] ################################################################################# 4-pixel SNSPD: ################################################################################# Traces_SNSPDTraces.csv Time_SNSPDTraces.csv     1000 signal traces at the output of the SNSPD. These presented traces are acquired after the cryogenic amplifier with a room temperature oscilloscope with a 50Ohm load.     The signals time steps are given in the second file. The dataset is displayed in figure 2b) of the main manuscript.  Detector_bias_countrate.csv     countrate observed after the triggering electronics when scanning the SNSPD bias current. SNSPD illuminated with pulsed 600kHz repetition rate attenuated coherent state.     Collums are: Voltage over 110 k ohm biassing resistor [mV] : countrate when illuminated : countrate when input blocked   ################################################################################# Amplifiers: ################################################################################# first_amp_high_power_S_parameters.csv     S-parameters for the first amplifier stage operated at &sim;50 μA Base current and 0.6 V at the collector first_amp_low_power_S_parameters.csv     S-parameters for the first amplifier stage operated at &sim;17 μA Base current and 0.4 V at the collector second_amp_S_parameters.csv     S-parameters for the second amplifier stage all files:     Collums are: frequency [MHz] : S11 amplitude [dB] : S11 Phase [Degrees] : S21 amplitude [dB] : S21 Phase [Degrees] : S12 amplitude [dB] : S12 Phase [Degrees] : S22 amplitude [dB] : S22 Phase [Degrees] ################################################################################# unbinned counts: #################################################################################      unprocessed_coincidences_no_modulator.csv     measred coincidences between the 4 pixel SNSPD and a detector in the HBT interferometer when entirely bypassing the modulator unprocessed_coincidences_no_modulator.csv     measred coincidences between the 4 pixel SNSPD and a detector in the HBT interferometer when going through the modulator collumns: relative time [ps] : counts

opencc-by-4.0Jul 2022View details →

Scanning electron microscope images of Dunaliela tertiolecta and Phaeodactylum tricornutum cultures and scanning electron microscope images and cryogenic electron microscope images of isolated small cellular particles from respective conditioned media

Scanning electron microscope images of cultures of microalgae Dunaliela tertiolecta and Phaeodactylum tricornutum and scanning electron microscope images and cryogenic electron microscope images of isolated small cellular particles from respective conditioned media are presented. Each image is supplemented by description of the preparation of the sample and the data on the imaging technique and equipment. The data are curated by Veronika Kralj-Iglic and Anna Romolo, University of Ljubljana, Faculty of Health Sciences, Laboratory of Clinical Biophysics.

opencc-by-4.0Sep 2021View details →

Data from: Cryogenic land surface processes shape vegetation biomass patterns in northern European tundra

Tundra ecosystems have experienced changes in vegetation composition, distribution, and productivity over the past century due to climate warming. However, the increase in above-ground biomass (AGB) may be constrained by cryogenic land surface processes (LSP) that cause topsoil disturbance and variable microsite conditions. These effects have remained unaccounted for in tundra biomass models, although they can impact multiple opposing feedbacks between the biosphere and atmosphere, ecosystem functioning and biodiversity. Here, by using field-quantified data from northern Europe, remote sensing, and machine learning, we show that LSP substantially constrain AGB in tundra. The three surveyed LSP (cryoturbation, solifluction and nivation) collectively reduced AGB by an average of 123.0 g m-2 (-30.0%). This effect was significant over landscape positions and was especially pronounced in snowbed environments, where the mean reduction in AGB was 57.3%. Our results imply that LSP are pivotal in shaping future patterns of tundra biomass, as long as cryogenic ground activity is retained by climate warming. These are the key data and codes related from Aalto et al., (2021).

opencc-by-4.0Nov 2022View details →

Dataset - Dual-mode room temperature self-calibrating photodiodes approaching cryogenic radiometer uncertainty

This page contains selected data from the publication "Dual-mode room temperature self-calibrating photodiodes approaching cryogenic radiometer uncertainty", Marit S Ulset et al 2022 Metrologia 59 035008, DOI 10.1088/1681-7575/ac6a94.   Description of files: Fig5.txt: Data for Fig 5a. Plotted values of non-equivalence as a function of beam position on the photodiode. Fig6.txt: Non-equivalence (gamma) in parts per million (ppm) and responsivity in mK/mW as a function of power level P in mW.  Fig7.txt: Spectral directional emissivity determined under 10° with respect to the sample surface normal for Wafer P7 at 20°C. Uncertainty is given as standard uncertainty (k=1). Fig14.txt: Calculated time constants for the four different steps in a thermal heating cycle (electrical low, optical, electrical high, optical). The average value in the published paper contains an error, as one dataset was used twice. The file also shows correct the average value, when all datasets are used only once. A corrigendum was submitted to Metrologia, but it was considered not necessary, and hence not published.  Fig15.txt: Plotted values for apparent IQD in parts per million (ppm) for three different calculation algorithms. Uncertainty is given as propagated type A standard uncertainty. Fig16.txt: Plotted values for measured IQD in parts per million (ppm) as a function of absorbed optical power in µW, for two different measurement methods - OC and FB method.

opencc-by-4.0May 2023View details →

Fracture and fatigue properties of AISI 316LN at cryogenic temperatures

Dataset containing the fracture toughness and the fatigue properties (specifically, the Paris' law parameters) of the stainless steel AISI 316LN at 4 and 7 K. The data is collected from a literature review (the bibliography is provided in the document).

opencc-by-4.0May 2023View details →

Fifradina dataset for radiative thermal neutron-capture processes in cryogenic detectors (CRAB)

The emission of \(\gamma\)-rays after a neutron capture in a cryogenic detector can generate mono-energetic nuclear recoils in the sub-keV regime, of direct interest for the calibration of Dark Matter and Coherent Elastic Neutrino Nucleus Scattering experiments. Accurate predictions of the nuclear recoil spectra induced by neutron captures require taking into account the interplay between the development in time of the de-excitation γ-cascade of the target nucleus and that of the associated atomic collisions in matter. Detailed simulations coupling the FIFRELIN code for the description of the γ-cascades and the Iradina code for the modelling of the fast atomic movements in matter have been described in G. Soum-Sidikov and al. (CRAB collaboration), Study of collision and γ-cascade times following neutron-capture processes in cryogenic detectorset al. 2023. doi :10.48550/arXiv.2305.10139. URL<a href="http://https://doi.org/ 10.48550/arXiv.2305.10139"> https://doi.org/ 10.48550/arXiv.2305.10139</a> This dataset acts as supplemental material to this article. It provides detailed nuclear de-excitation cascades with associated total recoil energies for: <ul> <li>Al (n, \(\gamma\)) in Al2O3</li> <li>Si (n, \(\gamma\)) in Si</li> <li>Ge (n, \(\gamma\)) in Ge</li> <li>W (n, \(\gamma\)) in CaWO4</li> </ul>

edi40/100

McMurdo Dry Valleys Mineralogic composition of cryogenic evaporites determined by low-temperature X-ray diffactometry

As part of a collaborative investigation between researchers at Rice University, Arkansas State University, University of Rochester, and Ohio State University, lakes of the McMurdo Dry Valleys were sampled at discreet depth intervals during the 2005-2006 field season. Â Sample splits were subsequently analyzed for chemical and isotopic composition of both gases and dissolved Â ions, as well as dissolved organic carbon. In addition, cryogenic salts were sampled in the surrounding lake shores in order to determine the salt sources. Gravity cores were also obtained and in the case of Lake Vanda, a white precipitate was recovered from the lake bottom. Â Â Â Â Â Â Â Presented Â in this file is the mineralogic composition of salt crusts that were collected on the surface of sediment and rocks surrounding the lakes, as well as the lake-bottom precipitate from Lake Vanda. Â The results are based on low-temperature XRD determinations, and Rietveld refinement of whole peaks. Â Â Â Â Â Â Â

openOpenNov 2014View details →

opencc-zeroApr 2020View details →

Data from: Development of a sustainability assessment algorithm and its validation using case studies on cryogenic machining

This work presents a comprehensive structure for evaluating the sustainability of machining processes. Industries can contribute towards developing a sustainable future by using algorithms that evaluate the sustainability of their processes. Inspired by the literature, the proposed model involves a set of metrics that are critical in evaluating the impact of a process on society, environment, and economy. The flexibility of this model allows decision-makers to use the available responses to identify the most favorable process. The entropy weight method was suggested for objectively calculating the weights of each indicator. A multi-criteria decision-making method i.e., Technique for Order Preference based on Similarity to Ideal Solution (TOPSIS), was used to rank processes in the decreasing order of their sustainability. The proposed algorithm was successfully validated with case studies from the published literature. A MATLAB code was also created so that industries may expeditiously apply this method to evaluate the sustainability of machining processes.

zenodo36/100

Optical Bias and Cryogenic Laser Readout of a Multipixel Superconducting Nanowire Single Photon Detector

The complete datasets of the Publication are updloaded in this repository. Have a look into the ReadMe files for further information. Info about the Spice Model: ReadME LTSPICE Info about the Detector Efficiency Analysis: ReadMe Countrate Info about the PNR Extraction: ReadMe PNR Extraction Info about the SNSPD traces: ReadMe Traces  Dataset of the Laser Diode Characterisation: IVP_Laserdiode.txt

opencc-by-4.0Mar 2024View details →

opencc-zeroMay 2024View details →

Data from: Uncorrected soil water isotopes through cryogenic vacuum distillation may lead to a false estimation of plant water sources

Successful use of stable isotopes (δ2H and δ18O) in ecohydrological studies relies on the accurate extraction of unfractionated water from different types of soil samples. Cryogenic vacuum distillation (CVD) is a common laboratory-based technique used for soil water extraction; however, the reliability of this technique in reflecting soil water δ2H and δ18O is still of concern. This study examines the reliability of a newly developed automatic cryogenic vacuum distillation (ACVD) system through a set of pure water extraction. The impacts of extraction parameters (i.e., extraction time, temperature, and vacuum) and soil properties on the recovery of soil water δ2H and δ18O were further assessed for the ACVD and traditional extraction systems (TCVD) systems. Finally, the potential influences of the CVD technique on the prediction of plant water uptake were investigated through a sensitivity analysis. We demonstrated that the ACVD system was reliable for recovering the isotopic composition of pure water, with negligible biases of − 0.1 ± 0.3‰ for δ2H and 0.04 ± 0.09‰ for δ18O. Both ACVD and TCVD similarly extracted water from the rewetted soils when the extraction time of the ACVD system reached 240 min, but none of the CVD systems successfully recovered the isotopic signatures of doped water from soil materials. Mean δ2H offsets of extracted soil water were − 2.6 ± 1.3‰ and − 2.4 ± 1.7‰ for ACVD and TCVD, respectively; while mean δ18O offsets were − 0.16 ± 0.14‰ and − 0.39 ± 0.37‰. The isotopic offsets of CVD systems were positively correlated with soil clay content, and negatively correlated with soil water content. The use of corrected soil data (with CVD offsets) could improve the prediction of plant water uptake based on its high correlation with environmental factors. This study identifies the isotopic offsets of CVD systems (i.e., ACVD and TCVD) and provides possible solutions for better-predicting plant water sources. Even so, the wide use of CVD techniques probably induces noticeable uncertainties in predicting plant water uptake depths. The dataset of soil water extraction in this study will have implications for the technological development of CVD techniques.

opencc-zeroMay 2024View details →

High resolution dataset of plastic deformation at cryogenic temperatures in a nickel-based superalloy

A nickel-based superalloy is examined during monotonic deformation at cryogenic temperatures, reaching as low as liquid helium temperature. A detailed multimodal analysis of the microstructure and plasticity is conducted to discern changes in deformation mechanisms and plastic deformation localization under cryogenic conditions. This study employs high-resolution digital image correlation to identify the deformation mechanisms and understand their influence on plastic deformation localization as the temperature varies. At cryogenic temperatures, unusual plastic deformation localization processes are observed, attributed to the competing activation of a range of deformation processes. Furthermore, a mechanism of slip delocalization, i.e., local plastic deformation homogenization through closely spaced slip, is noted at these extreme temperatures. Ultimately, the impact of the microstructure is identified across the temperature range, from room to cryogenic temperatures.