Complete data set for seed germination experiment with Lasthenia californica, L. fremontii, and L. glaberrima

Complete data set of seed germination and viability from: Van Den Elzen, C.L. and N.C. Emery. 2025. Recruitment in variable environments: plasticity and bet hedging in the timing of seed germination in three closely related species. Annals of Botany. Abbreviations used in data spreadsheet: Code in data sheet Full name Explanation G germinated seed germinated during the experiment MS missing seed seed went missing during th experiment NV not viable seed was dissected at the end of the experiment but the embryo had no reaction to tetrazolium or only partial staining occurred MO moldy seed became moldy and was removed from the experiment R ruined embryo was ruined on dissection NE no embryo no embryo present on dissection V viable embryo present on dissetion and had a positive reaction to tetrazolium (full staining) MD missing data no data written into the data sheet or data written in was not valid. Data tables: 2021_Germination_Study_Survey_Data.csv: raw germination timing data. 2020_germexp_seed_mass_ds_gla.csv: raw L. glaberrima seed mass data. 2020_germexp_seed_mass_ds_cal.csv: raw L. californica seed mass data. 2020_germexp_seed_mass_ds_fre.csv: raw L. fremontii seed mass data. germination_timing_conversion_table.csv: key for germination date correction using germinant size class. germ_mass_dat_germinants.csv: cleaned germination and seed mass data for import to SAS. GermTiming_Variances.csv: SAS export of model variance values for plotting of model results. GermTiming_Means.csv: SAS export of model mean values for plotting of model results. Scripts: data_cleaning.R: takes raw data files (see above), cleans the data, corrects germination dates using germinant size class, and exports the clean data for use in SAS modelling. Van Den Elzen and Emery_2025_Annals-of-Botany_SAS-heterogeneous-variance-code.docx: SAS statsitical modeling code, starting from clean data. figure_code.R: code to create all data figures in the manuscript (figures 2-4). Figures 3 and 4 are created using SAS model result export tables (see above).本数据集完整收录来自下述研究的种子萌发与活力相关数据：Van Den Elzen, C.L. 与 N.C. Emery 于2025年发表于《Annals of Botany》（植物学年报）的论文《Recruitment in variable environments: plasticity and bet hedging in the timing of seed germination in three closely related species》，中文译题为《可变环境中的种群补充：3个近缘物种种子萌发时序的表型可塑性与避险策略》。 本数据集电子表格所用缩写及其释义如下： | 代码 | 全称 | 释义 | | ---- | ---- | ---- | | G | germinated | 实验周期内萌发的种子 | | MS | missing seed | 实验过程中遗失的种子 | | NV | not viable | 实验结束后解剖种子，胚对四唑试剂无反应或仅出现部分染色 | | MO | moldy | 发生霉变并被移出实验的种子 | | R | ruined | 解剖时胚已受损 | | NE | no embryo | 解剖时未发现胚 | | V | viable | 解剖时存在胚且对四唑试剂反应呈阳性（完全染色） | | MD | missing data | 数据表格未记录相关数据或记录的数据无效 | 本数据集包含以下数据文件： 1. 2021_Germination_Study_Survey_Data.csv：种子萌发时序原始观测数据 2. 2020_germexp_seed_mass_ds_gla.csv：L. glaberrima种子质量原始数据 3. 2020_germexp_seed_mass_ds_cal.csv：L. californica种子质量原始数据 4. 2020_germexp_seed_mass_ds_fre.csv：L. fremontii种子质量原始数据 5. germination_timing_conversion_table.csv：基于萌发体大小分级校正萌发日期的关键对照表 6. germ_mass_dat_germinants.csv：用于导入SAS的已清洗萌发与种子质量数据 7. GermTiming_Variances.csv：用于绘制模型结果的SAS导出模型方差值表格 8. GermTiming_Means.csv：用于绘制模型结果的SAS导出模型均值值表格 本数据集附带以下脚本文件： 1. data_cleaning.R：读取上述原始数据文件，完成数据清洗，基于萌发体大小分级校正萌发日期，并导出可用于SAS建模的清洗后数据集。 2. Van Den Elzen and Emery_2025_Annals-of-Botany_SAS-heterogeneous-variance-code.docx：基于清洗后数据的SAS统计建模代码文档。 3. figure_code.R：用于绘制论文中全部数据图（图2至图4）的代码。其中图3与图4基于前述SAS模型结果导出表格生成。