Data used to estimate population growth and phenotypic plasticity from Leung et al (2020) Ecology Letters
收藏DataCite Commons2025-06-01 更新2024-07-28 收录
下载链接:
https://figshare.com/articles/Data_used_to_estimate_population_growth_and_phenotypic_plasticity_from_Leung_et_al_2020_Ecology_Letters/12770018/1
下载链接
链接失效反馈官方服务:
资源简介:
This data accompanies our 2020 publication in <i>Ecology Letters</i> titled, "<i>Reduced phenotypic plasticity evolves in less predictable environments</i>".<br>If you use these datasets, please cite the paper as well as this dataset. Please see the paper for a detailed description of the data and analysis.<br>"data1_Pop_size_All.txt": <b><br></b><b>Dataset 1. Population size during the plasticity assay.</b> For each population, their origin (evolved lines or isogenic populations), strain (A for CCAP 19/12 and C for CCAP 19/15), expected and actual autocorrelation (rho), salinity, day post transfer and population size (cells x ml<sup>-1</sup>) are given.<br>"data2_Calibrating_beads.txt": <b><br></b><b>Dataset 2. Calibrating beads.</b> Flow cytometry parameter (FSC, SSC and Red_B) values for beads in three different salinity.<br>"data3_Raw_Data_Morpho.txt": <b><br></b><b>Dataset 3. Cell morphology raw data. </b>Flow cytometry parameters (FSC, SSC and Red_B) were given for up 150 cells for each populations. Their origin (evolved lines or isogenic populations), strain (A for CCAP 19/12 and C for CCAP 19/15), expected and actual autocorrelation (rho), salinity, and day post transfer are specified. <br>
提供机构:
figshare
创建时间:
2020-08-06



