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ZENODO
Dataset . 2019
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 . 2019
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 . 2019
License: CC BY
Data sources: ZENODO
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Claim

Simulations of mixed DPPC/cholesterol membranes Part 1/2

Research datakeyboard_double_arrow_right Dataset 12 Nov 2019Publisher:Zenodo
Authors: Javanainen, Matti; Martinez-Seara, Hector; Vattulainen, Ilpo;

doi: 10.5281/zenodo.3539262 , 10.5281/zenodo.3539263

Simulations of mixed DPPC/cholesterol membranes Part 1/2

Abstract

Simulations of mixtures of DPPC and cholesterol performed with the Slipids force field. Files are named as DPPC_CC_TTT, where CC is the cholesterol concentration in mol-%, and TTT the temperature in K. This upload contains files related to systems with 10 mol-% of cholesterol, whereas systems with 15 and 20 mol-%, as well as systems with DCHOL and sytems used for line tension calculations are in a separate upload here: DOI: 10.5281/zenodo.3540513. Full details of simulations are available in the related manuscript, where they are also carefully analyzed: Nanoscale Membrane Domain Formation Driven by Cholesterol by Matti Javanainen, Hector Martinez-Seara, and Ilpo Vattulainen Scientific Reports 7: 1143 (2017)

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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