Data and R code for the manuscript "Environmental drivers of Centaurea cyanus germination: implications for conservation practice"

This repository contains the datasets and R script associated with the manuscript entitled“Environmental drivers of Centaurea cyanus germination: implications for conservation practice”. The data derive from germination experiments conducted on seeds of Centaurea cyanus collected in northeastern Italy from two sites and at different collecting dates. The study assessed the effects of incubation temperature, light conditions, collecting site, and collecting date on seed germination, with the aim of improving germination protocols and supporting conservation practice. The repository provides two datasets and one R script: One CSV dataset contains the main germination experiment testing seed germination across different temperature treatments, collecting dates, and collecting sites. Variables include site, collecting date, temperature, replicate, number of sown seeds, number of viable sown seeds (excluding empty seeds), number of germinated seeds, number of empty seeds, year, and germination percentage. A second CSV dataset contains the light/dark germination experiment conducted at 15 °C, including treatment, replicate, number of sown seeds, number of viable sown seeds, number of germinated seeds, number of empty seeds, and germination percentage. One R script reproduces the statistical workflow used in the manuscript. It includes data preparation, generalized linear models with binomial error distribution and logit link, model checking, ANOVA tables, post-hoc comparisons, and basic visualisation for both the temperature/date/site experiment and the light/dark experiment. A README file provides detailed descriptions of each dataset and variable, together with notes on file structure and data import. Availability: The repository is currently under restricted access and will be made publicly available upon acceptance/publication of the manuscript. Please cite as:D'Agostino, M., Silvia, A., Vuerich, M., Boscutti, F., & Abeli, T. (2026). Data and R code for the manuscript "Environmental drivers of Centaurea cyanus germination: implications for conservation practice" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.19064215本仓库收录与题为"矢车菊（Centaurea cyanus）萌发的环境驱动因子：对保护实践的启示"的手稿配套的数据集与R脚本。 本数据集源自意大利东北部两个采集点位、不同采集时间的矢车菊种子萌发实验。本研究评估了培养温度、光照条件、采集点位与采集日期对种子萌发的影响，旨在优化萌发实验方案，为保护实践提供支撑。 本仓库包含两份数据集与一份R脚本： 第一份逗号分隔值（Comma-Separated Values, CSV）数据集为核心萌发实验数据，用于测试不同温度处理、采集时间与采集点位下的种子萌发情况。变量涵盖采集地点、采集日期、温度、重复组、播种种子数、有效播种种子数（剔除空瘪种子）、萌发种子数、空瘪种子数、年份与萌发率。 第二份CSV数据集为15℃条件下开展的光/暗萌发实验数据，包含处理组、重复组、播种种子数、有效播种种子数、萌发种子数、空瘪种子数与萌发率。 一份R脚本可复现手稿中所用的统计分析流程，涵盖数据预处理、采用二项分布误差族与logit连接函数的广义线性模型构建、模型检验、方差分析（ANOVA）表、事后多重比较，以及温度/时间/点位实验与光/暗实验的基础可视化。 README文件详细说明了各数据集与变量的相关信息，同时提供了文件结构与数据导入的注意事项。 可用性说明：本仓库目前处于受限访问状态，待手稿被接收或正式发表后将公开获取。 引用格式：D'Agostino, M., Silvia, A., Vuerich, M., Boscutti, F., & Abeli, T. (2026). 手稿"矢车菊萌发的环境驱动因子：对保护实践的启示"配套数据与R代码[数据集]. Zenodo. https://doi.org/10.5281/zenodo.19064215