This dataset is associated to "A localization transition underlies the mode-coupling crossover of glasses" by D. Coslovich, A. Ninarello and L. Berthier [https://arxiv.org/abs/1811.03171]. It includes post-processed data and workflow to reproduce the analysis and the figures of the article and of the supplemental information. The easiest way to reproduce the analysis and figures, and then check the results, is to use the make script: ./make all Alternatively, the analysis and figures can be reproduced in any of the following ways following the workflow described in the org-mode project file project.org using the individual bash and gnuplot scripts in src/ and plots/ Folders and files description: analysis/: post-processed data ...
This upload contains the main dataset represented in the figures of the following publication: "Res...
Dataset for the manuscript 'Apodized silicon photonic grating couplers for mode order conversion...
All data and code used to generate the figures of the paper. Data and code can be accessed with pyth...
This dataset is associated to "A localization transition underlies the mode-coupling crossover of gl...
This dataset includes experimental and simulation data as well as postprocessing scripts associated ...
Dataset This dataset contains the input and output examples used in the publication described below...
This upload includes the following files related to the Python analysis: 1. Raw data as a XLS...
This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring st...
Datasets employed in a manuscript about two algorithms employed in the SciComPty software framework ...
Datasets to produce figures of the manuscript "Quantum Critical Points and the Sign Problem" Conten...
This repository includes data set and Matlab scripts, which support the manuscript entitled 'Studyin...
Datasets and documentation of all analytical procedures from a scientific paper, Anticipating the oc...
Experimental dataset, results and figures used in the publication "Accelerating ptychographic recons...
This folder contains the raw data from which the graphs in paper "Transformation Optics: Large Multi...
This upload includes both original and supplementary data for the publication "Unsupervised Analysis...
This upload contains the main dataset represented in the figures of the following publication: "Res...
Dataset for the manuscript 'Apodized silicon photonic grating couplers for mode order conversion...
All data and code used to generate the figures of the paper. Data and code can be accessed with pyth...
This dataset is associated to "A localization transition underlies the mode-coupling crossover of gl...
This dataset includes experimental and simulation data as well as postprocessing scripts associated ...
Dataset This dataset contains the input and output examples used in the publication described below...
This upload includes the following files related to the Python analysis: 1. Raw data as a XLS...
This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring st...
Datasets employed in a manuscript about two algorithms employed in the SciComPty software framework ...
Datasets to produce figures of the manuscript "Quantum Critical Points and the Sign Problem" Conten...
This repository includes data set and Matlab scripts, which support the manuscript entitled 'Studyin...
Datasets and documentation of all analytical procedures from a scientific paper, Anticipating the oc...
Experimental dataset, results and figures used in the publication "Accelerating ptychographic recons...
This folder contains the raw data from which the graphs in paper "Transformation Optics: Large Multi...
This upload includes both original and supplementary data for the publication "Unsupervised Analysis...
This upload contains the main dataset represented in the figures of the following publication: "Res...
Dataset for the manuscript 'Apodized silicon photonic grating couplers for mode order conversion...
All data and code used to generate the figures of the paper. Data and code can be accessed with pyth...