Supporting data for " Understanding phenotypic plasticity of phytoplankton to changing environments: Interaction and mechanism".

Description of the data uploaded:This dataset compressed the original data and analysis data (including R script). It is uploaded for fulfilling the partial requirements of the Ph.D. degree corresponding to the thesis submitted by Zhenzhen Li (Ph.D. candidate from the University of Hong Kong).Data files contain raw data (in .csv file), R script (in .text file), and reference genome sequencing and annotation for the species, Phaeodactylum tricornutum, downloaded from the Ensembl database (in the .text file).Content list with separate files related to each of the experimental chapters:Chapter 2: 1_raw data and R script for analyzing TPC of growth rate under varying light conditions; 2_raw data for carrying capacity (K) and photochemical efficiency (FvFm) and R script; 3_raw data and R script for the temperature gradient in experiment design.Chapter 3: raw data and R script for all the parameters under varying nitrogen conditions.Chapter 4: raw data and R script for the growth rate and curve under fluoxetine and temperature treatments.Chapter 5: 1_raw data and R script for the physiological parameters under fluoxetine and temperature treatments; 2_reference genome and annotation of p.t. downloaded from the Ensembl database; 3_raw gene counts and R script for differentially expressed genes (DEGs) analysis; 4_raw data of DEGs and R script for gene set enrichment of the gene ontology analysis (topGO).

数据集描述：本数据集对原始数据及分析数据（包括 R 脚本）进行了压缩处理。其上传旨在满足与香港大学李振振（博士研究生）提交的论文对应的博士学位部分要求。数据文件包含原始数据（以 .csv 文件格式），R 脚本（以 .text 文件格式），以及从 Ensembl 数据库下载的物种 Phaeodactylum tricornutum 的参考基因组测序和注释（以 .text 文件格式）。内容列表包括与每个实验章节相关的独立文件：第二章：1. 在不同光照条件下生长速率的 TPC 分析的原始数据和 R 脚本；2. 耐载量（K）和光化学效率（FvFm）的原始数据及 R 脚本；3. 实验设计中的温度梯度的原始数据和 R 脚本。第三章：在不同氮浓度条件下的所有参数的原始数据和 R 脚本。第四章：在氟西汀和温度处理下的生长速率和曲线的原始数据和 R 脚本。第五章：1. 在氟西汀和温度处理下的生理参数的原始数据和 R 脚本；2. 从 Ensembl 数据库下载的 p.t. 参考基因组和注释；3. 不同表达基因（DEGs）分析的原始基因计数和 R 脚本；4. DEGs 的原始数据和用于基因本体富集分析的 R 脚本（topGO）。