Accompanying Dataset For: Predicting Species Emergence In Simulated Complex Pre-Biotic Networks

Research datakeyboard_double_arrow_right Dataset 28 Jun 2016 English Publisher:ZenodoFunded by:UKRI | Synthetic Portabolomics: ..., UKRI | Towards a Universal Biolo...

Authors: Markovitch, Omer; Krasnogor, Natalio;

doi: 10.5281/zenodo.56534

Accompanying Dataset For: Predicting Species Emergence In Simulated Complex Pre-Biotic Networks

- Summary
- Subjects
- Metrics

Abstract

This is the accompanying data and code for the publication [Markovitch & Krasnogor: Predicting Species Emergence in Simulated Complex Pre-Biotic Networks] containing the full set of 10,000 lognormal networks studied, their network communities and the compotype species observed during simulations with the GARD model. Details are given in the aforementioned paper. Please see also: http://ico2s.org/ This work was funded by the UK's Engineering and Physical Sciences Research Council (EPSRC) under projects (EP/J004111/2) "Towards a Universal Biological-Cell Operating System (AUdACiOuS)" and (EP/N031962/1) "Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio Economies"

This work was funded by the UK's Engineering and Physical Sciences Research Council (EPSRC) under projects (EP/J004111/2) "Towards a Universal Biological-Cell Operating System (AUdACiOuS)" and (EP/N031962/1) "Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio Economies"

Related Organizations

University of Newcastle Australia
Australia

Keywords

communities, composomes, network science, prebiotic, graph, complex systems, origins of life, Lognormal, lipid world

Impact byBIP!

	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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average