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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Nonlinear mechanosensation in fiber networks

Authors: Berthier, Estelle;

Nonlinear mechanosensation in fiber networks

Abstract

Dataset corresponding to the underlying numerical and experimental data of the research article "Nonlinear mechanosensation in fiber networks". This repository contains four folders containing the data used to produced the figures shown in the article:- EXPERIMENTS.zip : microrheology measurements in biopolymer networks- MACRO.zip : macroscopic loading of disordered fiber networks (simulations results)- MICRO.zip : local probing of disordered fiber networks (simulations results)- Spatial-NL.zip : local probing of disordered fiber networks, with records of the networks spatial deformations (simulations results)The README.txt document provides a detailed description of the content, including files naming convention and data description. We would like to acknowledge that this project has received funding (E.B. and C.P.B.) from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 891217 and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project ID 201269156 - SFB 1032 (Project B12). P.R. is supported by France 2030, the French National Research Agency (ANR-16-CONV-0001) and the Excellence Initiative of Aix-Marseille University - A*MIDEX. M.G. and H.Y. acknowledge support from NIH Grant No. 1R01G140108.

Related Organizations
Keywords

nonlinear elasticity, biopolymer networks, cell-matrix interactions, mechanosensing, microrheology

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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!
0
Average
Average
Average