Morph_CNeT-India II

This dataset provides a comprehensive collection of Channel Network Topology (CNT)-based morphometric attributes derived using ASTER DEM for catchments across India. The attributes have been derived using the Morph_CNeT tool (https://doi.org/10.1016/j.ejrh.2025.102503), ensuring a consistent and standardized methodology for characterizing the structural and topological properties of channel networks. The dataset includes key morphometric descriptors related to stream network organization, connectivity, and hierarchical structure, which are essential for understanding hydrological response and supporting regionalization studies. These attributes are particularly useful for applications in ungauged catchment analysis, hydrological modelling, and classification of basin response behavior. All attributes have been computed using a uniform computational framework to ensure consistency and comparability across diverse hydro-geomorphic regions of India. The dataset is intended to support research in hydrology, geomorphology, and water resources engineering, and can be readily integrated with rainfall–runoff models and data-driven approaches.本数据集全面收录了基于河道网络拓扑（Channel Network Topology, CNT）的形态计量属性，这些属性通过ASTER数字高程模型（ASTER DEM）针对印度全境的集水区提取得到。本数据集所涵盖的属性均通过Morph_CNeT工具（https://doi.org/10.1016/j.ejrh.2025.102503）提取得到，该工具采用统一标准化的方法学，用于表征河道网络的结构与拓扑特性。本数据集包含与河网组织、连通性及层级结构相关的核心形态计量描述符，这些信息对于理解水文响应、支撑区域化研究至关重要。该类属性尤其适用于无资料集水区分析、水文建模以及流域响应行为分类等应用场景。所有属性均通过统一的计算框架完成计算，以确保印度境内不同水文地貌区域的属性结果具备一致性与可比较性。本数据集旨在为水文学、地貌学以及水资源工程领域的研究提供支撑，且可便捷集成至降雨-径流模型与数据驱动方法中。