Filter Variant Optimization Metrics and Station-Level Phenological Observations for Winter Wheat in Germany between 1993 and 2024

This dataset provides two complementary outputs of the PhenoPhaseR processing pipeline (Möller and Gerstmann, 2026) forwinter wheat (Triticum aestivum L., DWD Plant ID 202), covering all observed phenological phases (sowing to harvest) for the entire territory of Germany for the period 1993–2024. PhenoPhaseR is an open-source R workflow that couples the PHASE model (Gerstmann et al., 2016) - a growing-degree-day (GDD) approach with adaptive outlier filtering - to derive spatially consistent, quality-controlled point observations of phenological phase-start dates from the DWD volunteer observer network. The dataset components provided here correspond to processing Steps 5–6 (filter variant optimization) of the seven-step pipeline.本数据集提供了PhenoPhaseR处理流程（PhenoPhaseR processing pipeline，Möller与Gerstmann, 2026）针对冬小麦（*Triticum aestivum* L.，DWD植物编号202）的两类互补输出结果，覆盖1993—2024年期间德国全境从播种至收获的全部观测物候阶段。 PhenoPhaseR是一款开源R工作流，它耦合了PHASE模型（Gerstmann等, 2016）——一种搭载自适应异常值过滤的生长度日（growing-degree-day, GDD）方法——以从DWD志愿观测者网络中提取空间一致性优异、经严格质量管控的物候阶段起始日期点位观测数据。本次提供的数据集组件对应该七步处理流程中的第5至6步（过滤变量优化环节）。