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8 results for “dissipative solitons”
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>
Dissipative Solitons and Switching Waves in Dispersion-Modulated Kerr Cavities
<p>Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files.</p> <p><br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper.</p> <p>Figure data and generation code is found in "Figure Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other".</p> <p>Seven example matlab simulation scripts are found in "Simulation Example Code".</p> <ul> <li>Running 'lle_cavity_v4_CW_FI_Low2' models CW Faraday Instability appearance from Figure 3, in dimensionless units.</li> <li>Running 'lle_cavity_v4_Soliton_FI_1' models a dissipative soliton with Kelly sidebands or higher-order dispersive waves in dispersion modulated cavity, from Figure 4, in dimensionless units.</li> <li>Running 'lle_cavity_v4_SW_FI_Low2' models a switching wave with FI-motivated satellites in dispersion modulated cavity, from Figure 7, in dimensionless units.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F9C15R6_1_1b' (or just '1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 7(f) of the main paper, and Figure S5 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F2C15R5_2_3' (and also '3_1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 8 and 9 of the main paper, and Figure S6 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SolitonHDW_F1C16R6TM_5_s2' uses experimental data to reproduce the experiment as seen in Figure 6 for the pulse-driven soliton according to the LLE, results of which are shown in Figure S9 of the supplementary information.</li> </ul> <p>The script parameters may be modified to find results under different driving conditions and over different time periods and sampling rates as required.</p> <p>M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.</p> <p>This work was supported by Contract No. D18AC00032 (DRINQS) from the Defense Advanced Research Projects Agency (DARPA). This material is based upon work supported by the Air Force Office of Scientific Research under Grant No. FA9550-19-1-0250. This work was further supported by the European Union’s Horizon 2020 Program for Research and Innovation under Grant No. 812818 (Marie Skłodowska-Curie ETN MICROCOMB) and by the Swiss National Science Foundation under Grant Agreement No. 192293.</p>
Reconfigurable non-Hermitian soliton combs using dissipative couplings and topological windings
Open the record for dataset details and reuse information.
Data and code for figures: Formation and Collision of Multistability-Enabled Composite Dissipative Kerr Solitons
<p>This dataset contains the data presented in the Figures of the paper <Formation and Collision of Multistability-Enabled Composite Dissipative Kerr Solitons>.</p>
Data and code for figures in "Octave-spanning dissipative Kerr soliton frequency combs in Si3N4 microresonators"
<p>Data and code used to produce the figures in "Octave-spanning dissipative Kerr soliton frequency combs in <em>S</em><em>i</em>3<em>N</em>4 microresonators".</p>
Data for figures: Microresonator Dissipative Kerr Solitons Synchronized to an Optoelectronic Oscillator
<p>This dataset contains the figures and data presented in the paper <Microresonator Dissipative Kerr Solitons Synchronized to an Optoelectronic Oscillator>.</p>
Data and code for figures: Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons>.</p>
Data and code for figures: Spectral purification of microwave signals with disciplined dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Spectral purification of microwave signals with disciplined dissipative Kerr solitons>.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.