PhenoSelect Phenotyping Raw data
Description
Data and Code for PhenoSelect Algae Phenotyping This repository contains raw phenotyping data, along with Python code for calculating phenome size and performing statistical comparisons via bootstrapping. The data were collected using the PhenoSelect system under 96 experimental conditions for five algal species: Chlorella sorokiniana (CS-903) Haematococcus pluvialis (CS-1030) Halospirulina tapeticola (CS-785/02) Nannochloropsis australis (CS-416) Phaeodactylum tricornutum (CS-786) Contents Raw Data: Daily measurements of photosynthetic efficiency (Fv/Fm), growth rate, and cell size (or biovolume). Phenome Size Scripts: Python code demonstrating how to calculate the three-dimensional convex hull volumes for each species, along with a 10,000-iteration bootstrap to estimate uncertainty. Data Files (RAW / NORMALIZED): Trait values in their original measurement scales (RAW) and normalized to each trait’s minimum and maximum (NORMALIZED) for cross-species comparisons. Users can refer to the included Jupyter notebooks for running the analyses and reproducing the phenome size calculations reported in the associated manuscript.