Supplementary data for "Characterizing Intraspecific Resource Utilization in an Aquatic Consumer Using High-Throughput Phenotyping"
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/14900038
下载链接
链接失效反馈官方服务:
资源简介:
This repository contains the raw data for the study:
Characterizing Intraspecific Resource Utilization in an Aquatic Consumer Using High-Throughput Phenotyping
Data are provided separately for the first experiment (numerical response experiment with 16 rotifer clones across six food concentrations) and the second experiment (growth rate measurements with 98 rotifer clones across two food concentrations).
Contents of first_experiment.zip
input/ This folder contains raw count data (output of the Wellcounter software): popgrowth__results.csv (files containing count data of all populations at one day) popgrowth_20230822_treatments. csv (file containing information on the treatments of each six-well plate) video_info.csv (automatically logged information on videos recorded with the Wellcounter)
output/ output files produced by the R-script 'first_experiment_analysis.Rmd'
wellcounter/ contains the Wellcounter software (programs and configuration files) that were used for running the raw analysis of this dataset on a High Performance Computing cluster
first_experiment_analysis.Rmd R-Markdown file with data processing and statistical analysis of the first experimentnumerical_response_2par.R A function required by 'first_experiment_analysis.Rmd'
Contents of second_experiment.zip
input/ This folder contains raw count and behavioral data (output of the Wellcounter software): popgrowth__results.csv (files containing data of all populations at one day) popgrowth__treatments. csv (file containing information on the treatments of each six-well plate) video_info.csv (automatically logged information on videos recorded with the Wellcounter)
output/ output files produced by the R-script 'second_experiment_analysis.Rmd'
wellcounter/ contains the Wellcounter software (programs and configuration files) that were used for running the raw analysis (image and motion analysis) of this dataset on a High Performance Computing cluster
second_experiment_prep_run1.Rmd R-Markdown file for preprocessing the data from run1second_experiment_prep_run2.Rmd R-Markdown file for preprocessing the data from run2second_experiment_analysis.Rmd R-Markdown file with data processing and statistical analysis of the second experimentextract_fixed_effects_table.R A function required by 'second_experiment_analysis.Rmd'
创建时间:
2025-02-21



