Dataset on material composition and recyclability constraints of food packaging designs in global B2B supply chains

This release provides a curated, design-level dataset and reproducible analysis pipeline for assessing material composition, laminate structures, component compatibility, and recycling incompatibility in food packaging supply chains. The dataset is generated through semi-automated retrieval and structured parsing of global business-to-business (B2B) packaging listings and is suitable for reuse in material flow analysis (MFA), Design-for-Recycling (DfR) assessment, and research on structural lock-in in packaging systems. The dataset and analytical outputs underpin the study“Functional lock-in sustains nearly half of food-packaging designs multimaterial in global B2B supply chains”,but are released here as an independent, reusable research resource. Contents Full Python analysis pipeline for keyword mapping, semi-automated data collection, parsing, and aggregation Raw listing-level packaging data retrieved from Alibaba.com (by packaging keyword) Processed listing- and offering-level datasets Aggregated analytical readouts supporting material composition and recyclability analysis Reproducibility and access A linked GitHub repository provides the complete analysis codebase, detailed documentation, and visualization outputs to facilitate transparent inspection and reuse of the dataset and methods: 🔗 https://github.com/kai-li-1994/food_packaging_material This Zenodo record constitutes the archived version of record corresponding to the results reported in the submitted manuscript.