Data from: Different evolutionary paths to complexity for small and large populations of digital organisms

LaBar T, Adami C

Date Published: December 27, 2016

DOI: http://dx.doi.org/10.5061/dryad.3h5kv

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title ReadMe File
Downloaded 12 times
Description This file is a guide to the rest of the files associated with this manuscript.
Download README.txt (5.592 Kb)
Details View File Details
Title Avida Configuration Files
Downloaded 8 times
Description This folder contains the Avida configuration files needed to replicate all but one of the experimental treatments in the paper.
Download config_files.zip (34.19 Kb)
Details View File Details
Title Avida nopX Configuration Files
Downloaded 8 times
Description This file contains the Avida configuration files needed to run the "non-functional insertion" treatment experiments. "nopX" refers to the nop-X instruction added in this configuration.
Download config_files_nopx.zip (23.84 Kb)
Details View File Details
Title Submission Files
Downloaded 7 times
Description This folder contains the scripts used to submit the Avida experiments to a computing cluster.
Download sub_files.zip (84.90 Kb)
Details View File Details
Title Figures Script
Downloaded 6 times
Description This python script creates all of the figures in the paper.
Download create_figures.py (13.82 Kb)
Details View File Details
Title CSV Script
Downloaded 6 times
Description This python script created the final csv used to create the figures for the paper.
Download create_final_csv.py (5.549 Kb)
Details View File Details
Title Rename Detail Files Script
Downloaded 9 times
Description This python script renamed the detail files from the Avida experiments in order to better use them in Avida's Analyze mode.
Download rename_detail_files.py (2.11 Kb)
Details View File Details
Title Data CSV
Downloaded 9 times
Description This csv file contains all of the data from the experiments used in the paper.
Download data_final.csv (118.9 Kb)
Details View File Details

When using this data, please cite the original publication:

LaBar T, Adami C (2016) Different evolutionary paths to complexity for small and large populations of digital organisms. PLOS Computational Biology 12(12): e1005066. http://dx.doi.org/10.1371/journal.pcbi.1005066

Additionally, please cite the Dryad data package:

LaBar T, Adami C (2016) Data from: Different evolutionary paths to complexity for small and large populations of digital organisms. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.3h5kv
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: