Material-Driven Design Framework for Eco Print System

This dataset presents a material-driven design framework developed to analyse and structure eco print as a sustainable textile system. The framework is based on a systematic study of thirteen botanical materials, examining their interaction with eco print processes and their influence on textile outcomes. The research positions eco print not merely as an artisanal or aesthetic practice, but as a material-based system in which design results emerge from the dynamic relationship between material properties and process conditions. The dataset includes the conceptual model, classification structure, and analytical components used to interpret material behaviour within the eco print process.A key contribution of this framework is the classification of material behaviour into four categories: resistive, expressive, structural, and cooperative. These categories describe how different plant materials respond to eco print operations, including pigment transfer, pattern formation, and variability. This classification enables a structured understanding of material interaction and supports more informed design decision-making. The framework is organised into four interconnected layers:(1) Material Input Layer (botanical characteristics),(2) Process Interaction Layer (eco print operations),(3) Behaviour Classification Layer (material behaviour types), and(4) Design Output Layer (textile patterns and colour results).By modelling eco print through this layered system, the dataset provides a foundation for analysing material-driven processes in sustainable textile design. It supports the development of more systematic, scalable, and adaptive design approaches while maintaining the inherent variability of natural materials. This dataset is intended for researchers and practitioners in design, textile innovation, and sustainable fashion, particularly those interested in material-based design, eco print processes, and system-oriented approaches to creative practice.