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7 results for “quantum fluids”
Bogoliubov Excitations Driven by Thermal Lattice Phonons in a Quantum Fluid of Light
<p>This dataset corresponds to the all experimental data plotted in the article<br>"Bogoliubov Excitations Driven by Thermal Lattice Phonons in a Quantum Fluid of Light", Irénée Frérot, Amit Vashisht, Martina Morassi, Aristide Lemaître, Sylvain Ravets, Jacqueline Bloch, Anna Minguzzi, and Maxime Richard, Phys. Rev. X <strong>13</strong>, 041058, Published 26 December 2023.</p> <p>the data are provided as '.mat' Matlab data file. Each file is named according the figure and panel it referes to. For instance 'Fnj.mat' referes to the experimental data plotted in the panel j of Fig.n. The extension 'SI' refers to Figures in the supplemental information of the article.</p> <p>The files are structured into self explanatory fields: Fnj.x is the x axis data vector, and Fnj.dy are the error bars of the corresponding data points Fnj.y. Reasonable requests for additional explanations can be addressed to the article corresponding author. </p>
Giant vortex clusters in a two-dimensional quantum fluid: Data sets
<p>This data set collates the experimental and simulation data for the paper "Giant vortex clusters in a two-dimensional quantum fluid."</p> <p><strong>Database S1: Data_Excel_Sheet.xlsx </strong>contains the data shown in Figs. 1, 3, and 4 of the paper.</p> <p><strong>Database S2: Exp_Vortex_Location_Data.zip</strong> contains the experimental vortex positions.</p> <p><strong>Database S3: 2DGPE.zip</strong> contains the outputs of the 2D GPE simulations, along with the generating scripts.</p> <p><strong>Database S4: MonteCarlo_raw.zip</strong> contains the Monte Carlo outputs used to generate the shown in Fig. 1. </p> <p>Additional scripts to reproduce the MC data, GPE data, and reproduce the figures may be found at <a href="https://github.com/UQBEC/GiantVortices">https://github.com/UQBEC/GiantVortices</a>.</p> <p> </p>
Images for "Analogue cosmological particle creation in an ultracold quantum fluid of light"
<p>The raw images used to create the plots shown in "Analogue cosmological particle creation in an ultracold quantum fluid of light".</p>
Reconnection scaling in quantum fluids
<p>Data of the paper: <strong>"Reconnection scaling in quantum fluids"</strong> by Fonda, Sreenivasan, Lathrop, PNAS 2018</p>
Manybody Interferometry of Quantum Fluids Data and Code
<p>This is the data for the paper "Manybody Interferometry of Quantum Fluids" by Roberts et al.</p>
Data for: Fluid fermionic fragments for optimizing quantum measurements of electronic Hamiltonians in the variational quantum eigensolver
<p>Data for publication: S. Choi, I. Loaiza, and A. F. Izmaylov, "Fluid fermionic fragments for optimizing quantum measurements of electronic Hamiltonians in the variational quantum eigensolver" arXiv:2208.14490 (2022).</p> <p> </p> <p> </p>
Data for: Quantum-critical conductivity of the Dirac fluid in graphene
<p>Tabular data for all figures in main text.</p>
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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.