MST-2025: Heterogeneous Information Network Trend Modeling of the Global Maritime Supply Chain

The MST-2025 Maritime Supply Chain HIN Dataset is a fact-aligned synthetic dataset for trend modeling of the global maritime supply chain from 2023 to 2025. It encodes ports, countries, maritime chokepoints (such as the Suez and Panama Canals), deep-sea routes, disruption events (e.g. Red Sea attacks, Panama drought) and key policies (EU ETS expansion, emerging IMO GHG pricing) as a heterogeneous information network, with attributes on volume (TEU/DWT), rerouting, transit time, cost and emissions. The data are calibrated against public aggregates from UNCTAD, IMF, World Bank, port authorities and major news/industry reports, so that the directions and magnitudes of change (e.g. Suez→Cape of Good Hope rerouting, port winners/losers, increased exposure and resilience patterns) realistically reflect 2025 maritime supply chain trends while remaining compact and fully shareable for research and teaching.