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131 results for “Dissipation”
On the Moreau–Jean scheme with the Frémond impact law: energy conservation and dissipation properties for elastodynamics with contact, impact and friction — data
<p>This deposit contains the data output of the systems described in <a href="https://hal.science/hal-04230941">On the Moreau–Jean scheme with the Frémond impact law. Energy conservation and dissipation properties for elastodynamics with contact impact and friction.</a> The codes that generated this data are available in another <a href="../records/10953181">deposit</a> archived on Zenodo, as well as in a GitHub repository archived on <a href="https://archive.softwareheritage.org/swh:1:dir:33ff6d960b70505c7939c0ce21c039cabbe1351c;origin=https://github.com/nickcollins-craft/On-the-Moreau-Jean-scheme-with-the-Fremond-impact-law;visit=swh:1:snp:72aede3d3a464732a36ef79c20ef07eebd1f9918;anchor=swh:1:rev:b63b68c25e72d23d7d9ee30225165fa0ebffb3c2">Software Heritage</a>, which is the preferred method of obtaining the codes. Two of the files in this deposit ("deformed_sliding_block_mesh.png" and "sliding_block_mesh.png") are required for one of the codes in the code deposit to run successfully ("block_mesh_plot.py", with the files assumed to be located in the folder specified in the data_folder variable of the file "path_file.py"), but the deposits are otherwise independent.</p>
Data From: Exploring Gelatin-A and Mouse Proline-Rich Protein 5 as Probes for Wine Polyphenols analysis by Quartz Crystal Microbalance with Dissipation Monitoring
<p>Polyphenols are essential in winemaking, affecting the wine's quality, color, astringency, bitterness, and chemical stability. Conventional methods for assessing polyphenolic content are both expensive and time-intensive, underscoring the need for new, efficient techniques.</p> <p>The Quartz Crystal Microbalance with Dissipation Monitoring (QCM-D) sensor is recognized for its speed and reliability as a label-free detection tool. This study applies QCM-D to evaluate Gelatin Type A (Gel-A) from porcine skin and Mouse Proline-Rich Protein 5 (MP5) for polyphenol analysis in red wines without pre-treatment. MP5 notably exhibited a linear dissipation signal response with both total polyphenol and hydroxybenzoic acid concentrations. These findings highlight the potential for creating a stand-alone sensor platform for real-time polyphenol monitoring in winemaking.</p>
Experimental data of dissipative embedded column base connections tested under cyclic lateral loading
<p>This experimental dataset is comprised of the following items:</p> <p>(a) the deduced experimental data of conventional/dissipative embedded column base connection specimens, which contains base moment, column drift ratio, and axial shortening responses (TestData.xlsx);</p> <p>(b) photos of each specimen taken during cyclic loading (C-N-0_Test_Photos.7z, D-M1-1_Test_Photos.7z, D-M1-3_Test_Photos.7z, D-M1-5_Test_Photos.7z, D-M2-2_Test_Photos.7z);</p> <p>(c) characteristic videos for each specimen that demonstrate the cyclic behavior (Test_Video.7z);</p> <p>(d) Digital image correlation (DIC) images taken during cyclic loading to obtain strain fields near the steel column/reinforced concrete foundation interface (C-N-0_DIC_Photos.7z, D-M1-1_DIC_Photos.7z, D-M1-3_DIC_Photos.7z, D-M1-5_DIC_Photos.7z, D-M2-2_DIC_Photos.7z); </p> <p>(e) Videos that demonstrate strain fields of column flanges of both conventional and dissipative embedded column base connection specimens (DIC_Video.7z) </p> <p>Please read the "README" file contained in each folder for more detailed information regarding each data.</p> <p> </p>
Data sets for "Magnetic helicity dissipation and production in an ideal MHD code"
<pre>The tar archive Helicity_in_IdealMHDCode.tar contains an index.html file with links to a directory with "Add-ons" to the FLASH code and the flash.par file. We also list the IDL directory with secondary data and plot routines for each figure used in the paper "Magnetic helicity dissipation and production in an ideal MHD code" by Axel Brandenburg (Nordita) and Evan Scannapiecoo (Arizona State University) with the URL https://arxiv.org/abs/1910.06074.</pre>
Measuring Magnetic 1/f Noise in Superconducting Microstructures and the Fluctuation-Dissipation Theorem - Data
<p>Figures and corresponding data associated with the manuscript 'Measuring Magnetic 1/f Noise in Superconducting Microstructures and the Fluctuation-Dissipation Theorem' by Herbst et al.</p>
Energy transfers and reflexion of infragravity waves at a dissipative beach under storm waves.
<p>%%% Author: Xavier Bertin (xbertin@univ-lr.fr) %%%<br> %%% Date: 15/04/2020 %%% <br> %%% Purpose: This repository provides the field observations and XBeach model input %%%<br> %%% required to reproduce the results presented in paper referred below. %%%<br> %%% Reference: Bertin, X., Martins, K., de Bakker, A., Guérin, T., Chataigner, T., %%%<br> %%% Coulombier, T. et de Viron, O., 2020. Energy transfers and reflexion of %%%<br> %%% infragravity waves at a dissipative beach under storm waves. In press %%%<br> %%% to Journal of Geophysical Research-Ocean. %%%<br> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</p> <p>*The directory Obs includes:<br> -The wave bulk parameters computed as explained in the paper for the 10 sensores used in this<br> study: the offshore ADCP1, the intertidal PT1, PT2, ADCP2/PT3, PT4, PT5, ADV/PT6, PT7/Altus, PT8<br> and PT9. Each file has the same format and includes: the date (YYYY MM DD), the time (HH MM SS), <br> the mean water depth, the spectral significant wave height Hm0, mean wave periods Tm01 and Tm02, <br> the discrete and continuous peak periods, the energetic wave period Tm0,-2 and the spectral<br> significant height of IG waves Hm0,IG. <br> -The spectral significant height Hm0,IG+ and mean wave period Tm02,IG+ of incoming IG waves<br> separated at the ADCP2 and ADV using the method of Guza et al. (1984). The two files have the same <br> format and includes the date (YYYY MM DD), the time (HH MM SS), Hm0,IG+ and Tm02,IG+.<br> -The position of each sensore measured with a geodetic GNSS and provided in the same datum as the <br> bathymetry used in the model (Lambert93 and mean sea level). </p> <p>*The directory XBeach includes all the necessary files required to reproduce the simulations presented <br> in this study<br> -The bathymetry interpolated over a rectilinear grid, with X and Y given in Lambert93 coordinates (files<br> X_L93.grd and Y_L93.grd) and Z referred with respect to mean sea level (Z_L93.grd).<br> -The water level fluctuations measured at ADCP1 (WLevel_ADCP_201702.dat).<br> -The XBeach input file (params.txt) and a file providing the list of directional wave spectra<br> provided in the directory "Spectra_WWIII". These spectra were computed from a regional application of <br> WaveWatchIII over the North Atlantic Ocean and forced with CFSR wind fields but they were converted<br> in the format of SWAN, readable by XBeach.</p>
Data from: The effect of probe density coverage on the detection of oenological tannins in quartz crystal microbalance with dissipation monitoring (QCM-D) experiments
<p>Polyphenols, crucial compounds in grapes, musts, and wines, influence grape ripening, must fermentation, and final wine quality. Current detection methods for polyphenols are expensive, time-consuming, and reliant on specialized laboratories and personnel. This study proposes the use of a functionalized acoustic sensor to address these limitations and efficiently detect oenological polyphenols.</p> <p>The method employs a quartz crystal microbalance with dissipation monitoring (QCM-D) combined with a gelatin-based probe layer to detect the target analyte. The sensor is functionalized by optimizing probe coverage density, accomplished through the use of 12-mercaptododecanoic acid (12-MCA) for probe immobilization onto the gold sensor surface, along with dithiothreitol (DTT) as a reducing and competitive binding agent. Varying concentrations of 12-MCA and DTT allow for control over probe density, with QCM-D measurements demonstrating effective adjustment, ranging from 0.2 × 10^13 to 2 × 10^13 molecules cm^−2. The study also explores the interaction between the probe and tannins, confirming the ability of the sensor to detect them. Notably, lower probe coverage yields higher detection signals when normalized to probe immobilization signals. Additionally, significant alterations in the mechanical properties of the functionalization layer occur after interaction with samples.</p> <p>Combining QCM-D with gelatin functionalization presents promising applications in the wine industry. This approach enables real-time monitoring, requires minimal sample preparation, and offers high sensitivity for quality control purposes.</p>
Research data supporting "Observation of a Topological Edge State Stabilized by Dissipation"
<div> <p>This repository contains the data presented in the manuscript titled "Observation of a Topological Edge State Stabilized by Dissipation" by H. Wetter et al., Phys. Rev. Lett. 131, 083801 (2023). The files contain the final data sets relevant to reproduce all plots shown in the paper. Data types are CSV, TIF, SVG, TXT, PNG. No licensed software is required for opening and reading the files.</p> </div>
Data Analysis files for "Dissipative Quantum Feedback in Measurements Using a Parametrically Coupled Microcavity"
<p>Data Analysis for the paper "Dissipative Quantum Feedback in Measurements Using a Parametrically Coupled Microcavity", which is published in PRX Quantum <strong>3</strong>, 020309 (2022).</p>
Datasets supporting the publication "Technical Note: in-situ measurements and modelling of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Milsom et al.
<p>Supporting experimental and modelling data for the manuscript entitled "Technical Note: Modelling and in-situ measurements of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Adam Milsom et al. 2023. </p> <p>Includes raw QCM-D data with the numbers at the beginning of the files corresponding to the experiment numbers in the manuscript. </p> <p>Normalised Raman peak area data for modelling and model ensemble outputs, including uptake coefficients. </p>
Data and simulations files for the article "Quasinormal-mode perturbation theory for dissipative and dispersive optomechanics".
<p>Data and simulations files for the article "Quasinormal-mode perturbation theory for dissipative and dispersive optomechanics".</p>
Heat Dissipation Test with single Fiber Optic cable
<p> A Heat Dissipation Test implies heating a conducting element within the saturated soil until its temperature increase reaches steady state while monitoring the temperature development of the heating element during heating and cooling phases. In this case, we used a single Fiber Optic (FO) cable to perform a Heat Dissipation Test, aiming to quantify groundwater flow. The FO cable is installed along the outer casing of a piezometer located in an unconsolidated shallow aquifer.</p> <p>The data presented here are the maximum temperature reached each depth, the filtered temperature increment for the most representative depths, and the resulting values of thermal conductivity and groundwater flow based on the interpretation of the recorded data.</p> <p>Additionally, we included all the raw data obtained from the heated cable installed in the N325 borehole which was calibrated externally. And finally, we added two more files were we included the smooth heating curves and log-derivative resulting from filtering all data obtained from the heat dissipation test.</p>
Figure data for article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity"
<p>The files contain the data depicted in the figures of the article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity", Phys. Rev. Lett. <strong>134</strong>, 073604 (2025)</p> <p>The format of the data and to which figure it corresponds is described in the file "read_me_metadata.txt".</p>
Data for the article "Strained crystalline nanomechanical resonators with ultralow dissipation"
<p>GDS fabrication masks, ringdown traces and compilations of fit results, exemplary Raman scans, results of relevant FEM simulations and some of the scripts used for generating the plots in the manuscript.</p>
Dataset for "Application of dissipative particle dynamics to interfacial systems: Parameterization and scaling"
<p>Dataset for figures of the upcoming article "Application of dissipative particle dynamics to interfacial systems: Parameterization and scaling" submitted to "AIP Advances".</p>
Datasets for ``Dissipative magnetic structures and scales in small-scale dynamos''
<pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Dissipative magnetic structures and scales in small-scale dynamos" by A. Brandenburg, I. Rogachevskii, and J. Schober. If anything turns out to be incomplete, please email brandenb@nordita.org. </pre>
Data and code for figures: Breathing Dissipative Solitons in Optical Microresonators
<p>This dataset contains the data presented in the Figures of the paper Breathing dissipative solitons in optical microresonators (doi:10.1038/s41467-017-00719-w).</p> <p>The data for figure X is gathered in one matlab dataset file FigureX_Dataset.mat, under a structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields X, Y, Z that each are cell arrays containing the (X,Y,Z) data for all the lines / surfaces presented in the panel.</p> <p>In order to plot the line #1 of panel b of figure 3 you can proceed as follow:</p> <p>load Figure3_Dataset.mat<br> plot(fig3.b.X{1}, fig3.b.Y{1})</p> <p><br> A minimal script FigureX_process.m is provided for each figure in order to plot all the panels. For some insets of Figures 1,2,4, the structure is slightly modified, please refer to the scripts for detail access of the data.</p> <p>The datasets and scripts were generated and tested using Matlab 2017 or 2014.</p>
Propagation, dissipation and breakdown in quantum anomalous Hall edge states probed by microwave edge plasmons
<p>Here we upload the raw data from the manuscript entitled “Propagation, dissipation and breakdown in quantum anomalous Hall edge states probed by microwave edge plasmons ”, by T. Röper, H. Thomas, D. Rosenbach, A. Uday, G. Lippertz, A. Denis, P. Morfin, A.A. Taskin, Y. Ando and E. Bocquillon. We provide Jupyter notebooks to load, process, and plot all results. The datasets contain measurements on 4 devices. Each device has its own Jupyter notebook. The necessary Python packages are listed in the file called "requirements.txt". <br><br><br></p>
Wave dissipation and transformation over coastal vegetation under extreme hydrodynamic loading
<p><strong>This dataset provides raw and processed data generated in the experimental campaign: “Wave dissipation and transformation over coastal vegetation under extreme hydrodynamic loading”. The experiments were performed in the Large Wave Flume (Grosser Wellenkanal, GWK) of Forschungszentrum Küste (FZK) in Hannover, Germany. The objectives of the experiments were</strong></p> <ol> <li><strong>Quantify the role of vegetation on wave attenuation under extreme conditions that are essential for flood defence designs;</strong></li> <li><strong>Identify water depth / wave height / wave steepness thresholds that mark the transition from (a) conditions in which vegetation has a negligible effect on wave energy to (b) those regimes where vegetation significantly affects waves, to (c) those conditions that cause bed/canopy/plant ‘failure’/’breakage’;</strong></li> <li><strong>Quantify the forces and response of two species types (Elymus and Puccinellia), at the front of the vegetated section to the various depth/energy regimes;</strong></li> <li><strong>Quantify the effect of a non-vegetated marsh platform on waves, for comparison with the effects of the vegetated platform (control condition).</strong></li> </ol> <p><strong>Observations and measurements were based on a submerged vegetated platform of approximately one wave length (40 m) subjected to irregular waves of different characteristics. The tested vegetation was made up of typical north-western European species-rich middle to high elevation marsh communities. The data acquisition covered</strong></p> <ol> <li><strong>The wave characteristics in front of, over, and behind the platform;</strong></li> <li><strong>Current velocity profiles above the vegetation;</strong></li> <li><strong>Point flow velocities;</strong></li> <li><strong>Plant stem density;</strong></li> <li><strong>Soil surface profiles;</strong></li> <li><strong>Net floating organic debris, and</strong></li> <li><strong>Forces exerted on real and artificial plants mounted in front of the test platform.</strong></li> </ol> <p><strong>In addition to measurements, the plant movements and the whole experimental area were video recorded.</strong></p> <p><strong>Due to their very large sizes, video recordings cannot be placed to this repository. This data and the data from number 4 to 6 of the list above may be provided on demand. Please contact the manager of the FZK laboratory. More information about the experiments may be found in the auxiliary files (see the readme.txt file) provided here, and associated publications as follows:</strong></p> <ol> <li>Möller, I., Kudella, M., Rupprecht, F., Spencer, T., Paul, M., Wesenbeeck, B.K. van, Wolters, G., Jensen, K., Bouma, T.J., Miranda-Lange, M., Schimmels, S., 2014. Wave attenuation over coastal salt marshes under storm surge conditions. Nature Geoscience 7, ngeo2251. https://doi.org/10.1038/ngeo2251</li> <li>Rupprecht, F., Möller, I., Paul, M., Kudella, M., Spencer, T., van Wesenbeeck, B.K., Wolters, G., Jensen, K., Bouma, T.J., Miranda-Lange, M., Schimmels, S., 2017. Vegetation-wave interactions in salt marshes under storm surge conditions. Ecological Engineering 100, 301–315. https://doi.org/10.1016/j.ecoleng.2016.12.030</li> <li>Spencer, T., Möller, I., Rupprecht, F., Bouma, T.J., van Wesenbeeck, B.K., Kudella, M., Paul, M., Jensen, K., Wolters, G., Miranda-Lange, M., Schimmels, S., 2016. Salt marsh surface survives true-to-scale simulated storm surges. Earth Surf. Process. Landforms 41, 543–552. https://doi.org/10.1002/esp.3867</li> </ol>
Model setup and output for 'Tidal conversion and dissipation at steep topography in a channel poleward of the critical latitude'
<p><strong>Data supplement to Hughes and Klymak 2019</strong></p> <p>Model input and output in a reduced form associated with the following paper:</p> <p><strong>Tidal conversion and dissipation at steep topography in a channel poleward of the critical latitude<br></strong><em>Journal of Physical Oceanography.</em> <a href="http://dx.doi.org/10.1175/JPO-D-18-0132.1">doi:10.1175/JPO-D-18-0132.1</a></p> <p><strong>Inputs</strong></p> <p>As described in Table 1 of the associated paper, there are three main sets of simulations. The input files for these sets are contained in their respective directories (`vary_width`, `vary_forcing`, and `vary_freq`). The python script that creates all of the necessary files is `gendata.py`. A fourth directory is titled `baroclinic_terms` and includes that simulation in which <em>u'</em> and <em>p'</em> are output at high temporal resolution.</p> <p>A key point regarding the input files is that for the vary width and vary forcing cases, a single simulation involves multiple channels. This lets me compile a single executable `mitgcmuv` with a Nx × Ny grid of 600 × 1280, which I divide up into the necessary number of channels by putting vertical walls in appropriate places. For the vary width cases, the 'narrow' simulations are all channels from 0.2 to 32 km and the 'wide' simulations are all wider channels. Once the simulation has run, I use netcdf tools (`ncks`) to extract the individual channels using the scripts in the `extract_scripts` directory.</p> <p>Most of the files in the `code` directories will be familiar to anyone that uses the MITgcm. An exception is the `energy_diagnostics_fill.F` (and `diagnostics_main_init.F` and `do_statevars_diags.F`, which have minor additions). The original, from `https://github.com/jklymak/MITgcmcode`, was modified slightly to suit this project.</p> <p><strong>Outputs</strong></p> <p>The results directory contains five subdirectories to be described in turn.</p> <p>Notes that in all cases, energy terms in the netCDF files do not include a factor of ρ. This was added in at the plotting stage.</p> <p>All simulations used Checkpoint67b and were run on Graham: https://docs.computecanada.ca/wiki/Graham.</p> <p><strong>vary_width</strong></p> <p>The majority of the files are of the form `obstacle_FFF_YY.nc` where `FFF` is $1000 ω/f$ and `YY` is the channel width in kilometres. These files contain the tidally averaged, depth-integrated energy diagnostics for the seventh tidal cycle at all points (<em>x, y</em>) within the energy control volume.</p> <p>There are also three files entitled `tophat_995_YY.nc`, which contain fields of <em>U</em>, <em>V</em>, and <em>T</em> (which gives density with α = 0.0002) at two levels. These fields are used as examples for weakly and strongly responding channels.</p> <p><br><strong>vary_forcing</strong></p> <p>These files are of the form `forcing_UU.nc` where `UU` is the deep-water tidal current amplitude <em>U_</em>0 in cm/s. They contain the same energy terms as for the vary width simulations.</p> <p><strong>vary_freq</strong></p> <p>These files are of the form `freq_FFF_fields.nc` and contain fields of <em>U</em>, <em>V</em>, and <em>T</em> at two levels. Energy terms are not included because the vary frequency simulations were only run to get estimates of the along-ridge wavelength.</p> <p><strong>baroclinic_terms</strong></p> <p>The single file within this directory contains <em>u'</em> and <em>p'</em> at a single <em>x</em> position every five minutes for four tidal cycles.</p> <p><strong>gaussian_26</strong></p> <p>This directory, named for its obstacle and width, contains <em>U</em>, <em>V</em>, and <em>T</em> at every grid point for a snapshot in time and another file with the corresponding snapshots of all energy terms.</p>
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