A Hetero-functional Graph of Interconnected Systems within 3 communities

This dataset provides a GraphML‐based representation of an interdependent infrastructure system, covering power, water, transportation, and community infrastructures. Each node is annotated with key attributes such as resource type, criticality, societal vulnerability score (SVS), and capacity—while directed edges capture the flow or dependency relationships among these resources. The dataset facilitates resilience and recovery analysis by enabling repair order simulation, based on certain metrics‐based prioritization. Researchers may use the dataset to visualize, manipulate, or extend the network structure and attributes. The inclusion of community-facing nodes (e.g., hospitals, schools) allows for equity considerations during disruptions, making the dataset particularly valuable for research in disaster risk management and interdependent system modeling. By providing a thorough mapping of nodes, edges, and community dimensions, this dataset supports a wide range of infrastructure resilience research questions, from comparing different repair heuristics to analyzing the impact of criticality versus social vulnerability in restoration strategies.