111 to 120 of 131 Results
16 mars 2022 -
An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management
Unknown - 2,3 KB -
MD5: ff779fc8110f1c98b277a76a4d4b1b03
Part of Nlogo source code. The setup of the different stages of the fly and their location in the orchards. |
16 mars 2022 -
An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management
Comma Separated Values - 11,9 KB -
MD5: 473c2d58d64de9e0a7d05217d4cd8a69
Temperature and fruit availability input data |
Plain Text - 78,2 KB -
MD5: 86fc14b1f49806508fba558f90a83beb
Phenotypic measurements for the 483 desert locust individuals surveyed at the 4th laboratory generation (i.e., the half-sib/full-sib families) |
Plain Text - 14,3 KB -
MD5: a64c68333f6d14867d5896772ee5bc24
Four-generation pedigree data, including the 4th generation half-sib/full-sib families (for phenotypic measurements) and the three prior generations (for environmental standardization within laboratory) |
R Syntax - 27,0 KB -
MD5: 2b4af3891d5e7acf4736f892d6360f97
R script to run (1) quantitative genetic analyses on the 10 traits data measured in the 264 desert locust individuals and (2) simulation analysis of the statistical power of our quantitative genetics analysis |
R Syntax - 13,5 KB -
MD5: 1eae8a93a71b014ba9e946088c6195cb
R script to run phenotypic analyses on the 10 traits data measured in the 264 desert locust individuals |
20 janv. 2021 -
Multi-agent model ALMMAS 1.5: source code
text/nlogo - 123,1 KB -
MD5: d2d16dc4f3082d2389a66a1aedc3ad39
Suitable for Netlogo 6.1.1 |
20 janv. 2021 -
Multi-agent model ALMMAS 1.5: source code
Plain Text - 79 B -
MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
Where to download NetLogo |
Plain Text - 28,9 KB -
MD5: 30a992a8f04ec623ca3e861d93b160dd
Multilocus genotypes (23 microsatellites) of the 90 S. g. flaviventris individuals and the 80 S. g. gregaria individuals used in this study. |
R Syntax - 4,7 KB -
MD5: 3e7b54ef98562c28f976d90d3c5bf61e
R script to run a single ABC-RF parameter estimation analysis using datasets simulated with the package DIYABC v2.1.0. |