Research Data for “Treated Wastewater Irrigation of Tomato in Superabsorbent Polymer (SAP)-Amended Growing Media: Water Retention, Irrigation Performance, and Salinity Trade-Offs

This dataset contains the research data supporting the study entitled “Treated Wastewater Irrigation of Tomato in Superabsorbent Polymer (SAP)-Amended Growing Media: Water Retention, Irrigation Performance, and Salinity Trade-Offs.” It includes preliminary and main soil-moisture monitoring records, ambient temperature and relative-humidity measurements, raw gravimetric water-holding-capacity measurements, and a Python script for reproducing the irrigation-performance and WHC analyses. The treatments consisted of peat-sand growing media amended with 0%, 2%, 4%, and 6% (w/w, dry basis) sodium polyacrylate-based superabsorbent polymer, designated S1, S2, S3, and S4, respectively. During the main treatment-specific monitoring phase, irrigation events were identified from abrupt increases (≥5 percentage points) in the sensor-derived relative soil-moisture time series. Each irrigation event corresponded to a fixed application of 50 mL treated wastewater.本数据集包含支撑题为《高吸水性树脂（SAP）改良栽培基质中番茄再生水灌溉：保水性能、灌溉效能与盐分权衡》的研究的相关科研数据。数据集涵盖前期与主实验阶段的土壤湿度监测记录、环境温度与相对湿度实测数据、原始重量法持水量测定结果，以及可复现灌溉效能与持水量（WHC）分析的Python脚本。实验处理组采用以0%、2%、4%、6%（干基重量比，w/w）聚丙烯酸钠基高吸水性树脂改良的草炭砂栽培基质，分别记为S1、S2、S3、S4。在针对各处理组的主监测阶段，通过传感器获取的相对土壤湿度时间序列中≥5个百分点的突增来识别灌溉事件。每次灌溉事件均对应固定施加50 mL再生水。