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.
57
datasets available to search
ShareScore release 0.9.0
Dataset results
57 results for “optomechanics”
Source data for "Synthetic gauge fields for phonon transport in a nano-optomechanical system"
<ul> <li>Experimental raw data for density plots in Fig 2. Each .csv contains an array, where 1st row corresponds to x_axis (mechanical frequency in MHz for panels 1,2,3,4) and first column the y_axis (optical frequency in THz for panel 1, modulation frequency in MHz for panels 2,3,4). First nonzero component is the 2nd for each array. Remaining array elements contain the z values (Thermomechanical noise spectral for panel 1, Amplitude of driven responses for panels 2,3,4). An illustrative example of plotting in an ipython notebook follows:</li> </ul> <p> %pylab inline</p> <p> A= genfromtxt('Fig2_data_modVolt=0mV_experiment.csv', delimiter=',') </p> <p> x = A[0,1:]<br> y = A[1:,0]<br> z = A[1:,1:]<br> imshow(z,aspect='auto',vmin=z.min(),vmax=z.max(),extent=[x.min(),x.max(),y.min(),y.max()],cmap='magma') </p> <ul> <li> Theoretical data for panel 4 in Fig 2, stored in a .csv with the same structure as previous.</li> <li> Raw experimental data for upper panels in Fig 3. Each .csv contains an array where 1st row corresponds to x_axis (modulation phase) and first column the y_axis (optical frequency in THz). Z values contain the experimental signal proportional to the Y optical quadrature of the transferred mode.</li> <li>Theoretical data for lower panels in Fig 3, stored in a .csv with the same structure as previous.</li> <li>Jupyter notebook to produce and plot typical data for Fig 4: phononic amplitude averaged over 100 disorder realizations, normalized to the maximum value (*extra_dependencies: Kwant Python library: <a href="https://kwant-project.org/">https://kwant-project.org/</a>).</li> </ul>
Dataset related to the publication "Transformation Optics: Large Multiphysics Simulation of Nonlinear Optomechanical Coupling in Microstructured Resonant Cavities", DOI: 10.1109/MMM.2018.2821086
<p>This folder contains the raw data from which the graphs in paper "Transformation Optics: Large Multiphysics Simulation of Nonlinear Optomechanical Coupling in Microstructured Resonant Cavities", DOI: 10.1109/MMM.2018.2821086, have been obtained.</p>
Data From 'Gallium Phosphide as a Piezoelectric Platform for Quantum Optomechanics'
<p>Source data for figures.</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>
Data sets, code, figures for Sensing force gradients with cavity optomechanics while evading backaction
<p>The directory contains data sets, code and figures for the published version of the research article Sensing force gradients with cavity optomechanics while evading backaction.</p>
Data for the article "Topological lattices realized in superconducting circuit optomechanics"
<p>Here you will find all the raw data and data processing scripts for the plots presented in "Topological lattices realized in superconducting circuit optomechanics".</p>
Fig12--Photonic and Optomechanical Thermometry-V2
<p>Data of figure 12 depicting the optical bistability spectra as a function of input optical power as well as temperature increase due to light absorption.</p> <p>The folder contains the raw optical bistable spectra for each input power and the analyzis python script.</p>
Data and simulations files for the tutorial article "Brillouin Optomechanics in Nanophotonic Structures"
<p>Data and simulations files for the tutorial article "Brillouin optomechanics in nanophotonic structures".<br> Published in APL Photonics Special issue "Optoacoustics—Advances in high-frequency optomechanics and Brillouin scattering" - DOI: 10.1063/1.5088169</p>
Data and code for figures in "Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements"
<p>Here we prepare the data and process scripts to reconstruct figure 4 of the paper (Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements). The folder contains several subfolders and files:</p> <p>“Raw data”: In this folder, you can find the raw data recorded by measurement devices during the experiment. It follows the hierarchical structure. We have three pairs of folders corresponding to three cooperativities (3.5, 7, 14). One folder of each pair contains raw data files in text format (.dat) and the other one contains plots and a Numpy dictionary of the extracted parameter for each cooperativity (superdict.npy). If you need to redo the extraction process from the raw data you can simply run “181031_CXX_Final_NOQT_BAE_2D_post_processeing.py” (XX: 3.5 or 7 or 14) python code to rewrite superdict.npy files and replot all plots in the Raw data folder.<br> “NRBcodes”: A side package for the circle fit (Lorentzian fitting) in the complex plane.<br> “Dicts”: A folder containing Numpy dictionaries needed for the final plot. “superdictXX.npy” are copies of Numpy dictionaries in the Raw data folder. “powers_XX.npy” and “Ds_nor_XX.npy” are Numpy dictionaries needed for the theory plots. You can reproduce them by the uncommenting first part of the “Final_plot.py” and correcting the corresponding cooperativity.<br> “getdata.py” and “postprocessing_libs.py”: Side packages help to read the raw data files.<br> <br> All post-processes are done on the raw data and you just need to run the “Final_plot.py” to reproduce the plot. If you want to access the post-processed data you can simply read “superdictXX.npy” in the Dicts folder. <br> Please do not hesitate to contact us in case of any questions. <br> amir.youssefi@epfl.ch</p>
Optomechanical Synchronization across Multi-Octave Frequency Spans
<p>Supplementary data for the article "Optomechanical Synchronization across Multi-Octave Frequency Spans". ArXiv: https://arxiv.org/abs/2105.01791v2</p> <p> </p> <p> </p>
Micromechanical high-Q trampoline resonators from strained crystalline InGaP for integrated free-space optomechanics
<p>We share experimental data for Figs. 2,4,5,6,11,12,13 of arxiv manuscript arXiv:2211.12469 [physics.app-ph] entitled "Micromechanical high-Q trampoline resonators from strained crystalline InGaP for integrated free-space optomechanics".</p>
A Novel Architecture for room temperature microwave optomechanical experiments
<p>The dataset contains cavity optomechanical measurements of the Si<sub>3</sub>N<sub>4</sub> membrane at room temperature. These datasets correspond to different techniques to extract single photon coupling rate g<sub>0</sub>. The files with the name starting with fig_2 are about the characterization of the microwave cavity (S<sub>21</sub>) and Si<sub>3</sub>N<sub>4</sub> membrane (noise spectrum). The file names with initials as fig_3 is contains data of noise spectrum when Si<sub>3</sub>N<sub>4</sub> membrane is driven by white noise using piezoelectric transducer. It is the file names with initials as fig_4 that are about the optically induced transparency/absorption, while the file names with initials as fig_5 are about the driven nonlinear Si<sub>3</sub>N<sub>4</sub> membrane.</p>
Data of findings in the article "Optomechanical ring resonator for efficient microwave-optical frequency conversion" by I.T. Chen et al.
<p>Data of findings in the article "Optomechanical ring resonator for efficient microwave-optical frequency conversion" by I.T. Chen et al.</p>
Optomechanical microwave amplification without mechanical amplification
<p>High-gain and low-noise signal amplication is a valuable tool in various cryogenic microwave experiments. A microwave optomechanical device, in which a vibrating capacitor modulates the frequency of a microwave cavity, is one technique that is able to amplify microwave signals with high gain and large dynamical range. Such optomechanical ampliers typically rely on strong backaction of microwave photons on the mechanical mode achieved in the sideband-resolved limit of optomechanics. Here, we observe microwave amplication in an optomechanical cavity in the extremely unresolved sideband limit. A large gain is observed for any detuning of the single pump tone within the cavity linewidth, a clear indication that the amplication is not induced by dynamical backaction. By being able to amplify for any detuning of the pump signal, the amplication center frequency can be tuned over the entire range of the broad cavity linewidth. Additionally, by providing microwave amplication without mechanical amplication, we predict that using this scheme it is possible to achieve near-quantum-limited microwave amplication despite a large thermal occupation of the mechanical mode.</p>
Dataset related to the publication "Nanocrystalline silicon optomechanical cavities", DOI: 10.1364/OE.26.009829
<p>This folder contains the raw data from which the graphs in paper "Nanocrystalline silicon optomechanical cavities", DOI: 10.1364/OE.26.009829, have been obtained.</p>
Dataset related to the publication "Nonlinear dynamics and chaos in an optomechanical beam", DOI: 10.1038/ncomms14965
<p>This folder contains the raw data from which the graphs in paper "Nonlinear dynamics and chaos in an optomechanical beam", DOI: 10.1038/ncomms14965, have been obtained</p>
Dataset related to the publication "Optical modulation of coherent phonon emission in optomechanical cavities", DOI: 10.1063/1.5040061
<p>This folder contains the raw data from which the graphs in paper "Optical modulation of coherent phonon emission in optomechanical cavities", DOI: 10.1063/1.5040061, have been obtained.</p> <p> </p>
Data from: Hybrid Integration of Silicon Photonic Devices on Lithium Niobate for Optomechanical Wavelength Conversion
<p>Source data for Figures.</p>
Direct laser-written optomechanical membranes in fiber Fabry-Perot cavities
<p>Data for "Direct laser-written optomechanical membranes in fiber Fabry-Perot cavities".</p>
Data from: Coherent mechanical noise cancellation and cooperativity competition in optomechanical arrays
<p>Source data for figures.</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.