Representative Envision Simulation Outputs for Multi-Hazard Coastal Resilience and Adaptation Pathways

This dataset provides representative raw Envision/OrCoast simulation outputs supporting the manuscript A Coupled Framework for Assessing Multi-Hazard Coastal Resilience and Adaptation Pathways (Nature Communications, manuscript NCOMMS-26-080255). The study integrates coastal hazard projections, landscape-scale simulation, adaptation strategies, and economic analysis to evaluate multi-hazard coastal resilience and adaptation pathways. The archive (Simulations.zip) contains selected representative Envision simulation outputs from the acute, chronic, combined, and chronic cost-sensitivity analyses, together with associated input files required for the supported Python postprocessing workflows. The scenario IDU DBF files retain the building and hazard-related attributes used in the analyses. Scope and reproducibility: This archive contains a representative subset of simulation runs, not the complete raw Monte Carlo ensemble. The full processed per-simulation results used for ensemble-level statistics, economic analyses, and manuscript reporting are available in the accompanying GitHub repository. The representative simulation outputs are intended to support inspection of model outputs and demonstration of selected raw-data processing workflows. Related resources: Python analysis code, documentation, and processed results: https://github.com/jianqiaoren123/Coastal-MultiHazard-Resilience Envision source code: https://github.com/boltej/Envision MUSCLE/TESLA code and forcing data: https://doi.org/10.17603/ds2-mr46-5g54 Shoreline observations and change rates: https://doi.org/10.17603/ds2-59cy-n043 The manuscript-specific OrCoast model configuration is being coordinated with its maintainer for reviewer-accessible or archived release.