Replication dataset for "Reducing measurement error in riverbank litter sampling

This dataset accompanies the publication <em>“Reducing measurement error in riverbank litter sampling.”</em> In this study, we quantify measurement error in a commonly used method for sampling riverbank litter and provide recommendations on how protocol design can be optimized to reduce such error. Incorporating these recommendations can help reduce measurement uncertainty, improve the reliability of long-term litter assessments, and strengthen evidence-based decision-making in litter management.

本数据集配套发表于题为《消减河岸垃圾采样中的测量误差》（"Reducing measurement error in riverbank litter sampling."）的学术论文。本研究对一种常用的河岸垃圾采样（riverbank litter sampling）方法的测量误差（measurement error）进行了量化分析，并就如何优化采样规程设计以降低此类误差提出了针对性建议。采纳上述建议可有效减少测量不确定性，提升长期垃圾评估工作的可靠性，同时强化垃圾管理领域基于证据的决策制定能力。