Thermal Evaluation of the Impact of Microbial Consortium on Water Stress Tolerance in Lettuce Under Controlled Conditions Using Infrared Thermography

This dataset contains detailed experimental data from lettuce (Lactuca sativa L.) seedlings grown under controlled conditions with microbial inoculants and three irrigation levels. The information includes morphological measurements (such as leaf length, leaf width, stem thickness, and plant height), fertilization schedules applied during the experiment, and programming records of the bioclimatic chamber used to regulate environmental conditions. The data were collected to evaluate the combined effects of microbial treatments and water availability on early plant growth and development. Tables are organized by experimental treatments, replications, and days after sowing, providing a structured format for analysis. This dataset can be used for statistical analysis, modeling of plant responses to biostimulants and irrigation regimes, and validation of computational or agronomic models. It is especially valuable for researchers working in plant physiology, crop management, stress tolerance, and data-driven agriculture.本数据集涵盖了在可控环境条件下，采用微生物接种剂与三种灌溉梯度培育的生菜（Lactuca sativa L.）幼苗的详细实验数据。相关数据包括形态学测定指标（如叶长、叶宽、茎粗与株高）、实验期间实施的施肥方案，以及用于调控环境参数的生物气候箱（bioclimatic chamber）程序运行记录。 本数据集的采集旨在评估微生物处理与水分可利用性对植物早期生长发育的联合影响。数据表格按照实验处理、重复样本与播种后天数进行编排，为后续分析提供了标准化的结构化格式。 本数据集可应用于统计分析、植物对生物刺激素（biostimulants）与灌溉制度的响应建模，以及计算模型或农艺模型的验证。其尤其对从事植物生理学、作物管理、胁迫耐受以及数据驱动型农业（data-driven agriculture）研究的科研人员具有重要价值。