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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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Dataset - Direct-laser-written integrated mid-IR directional couplers in a BGG glass

Authors: Camus, Arthur Le;

Dataset - Direct-laser-written integrated mid-IR directional couplers in a BGG glass

Abstract

Dataset related to article: Direct-laser-written integrated mid-IR directional couplers in a BGG glass. Arthur Le Camus, Yannick Petit, Jean-Philippe Bérubé, Matthieu Bellec, Lionel Canioni, Réal Vallée. Optics Express. 2021, volume 29, issue 6, pp. 8531-8541 https://doi.org/10.1364/OE.409527 # Research materials We provide here the data and scripts used to generate the figures in the main document ## Requirements * All codes have been written using *python 3.7* and standard libraries (*numpy*, *matplotlib*, *scipy*). * Note that pathnames work fine for Unix users but might be manually modified for Windows users. ## Data files description All experimental data files are stored in the `./data` folder with `.npy` format, a standard binary file format in NumPy. * `bgg-2p85.npy` and `silica-2p85.npy` contains the experimental data used to generate Fig. 3. * `bgg-2p85-num.npy` contains numerical data used in Fig. 3 (dashed blue line). * `bgg-4mm-exp.npy`/`bgg-4mm-num.npy` and `bgg-5mm-exp.npy`/`bgg-5mm-num.npy` contains the experimental/numerical data used to generate Fig. 4 left and right panels respectively. The `.npy` files are dictionnaries. The key `P_ref` corresponds to the grey curve in Fig. 4a. The keys `P_1_3` and `P_1_4`correspond to the output power in port 3 and port 4 respectively. ## Script files description * Running the python scripts allow to generate the figures presented in the manuscript. The filenames are explicit. * Fig. 4 has been slightly post-edited (add $y$-axis color and a) and b) labels) using Adobe Illustrator software.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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