Replication data and code for "Social Vulnerability Assessment for Climate Adaptation: A Structured Review of Indicators, Scales, and Bias"

This deposit contains the coded dataset (n = 41 peer-reviewed studies) and the R replication script for the structured review of social vulnerability indicators reported in the companion article submitted to Climate Risk Management (Elsevier). The coded dataset includes eight categorical/ordinal dimensions per study: region, climate hazard, spatial scale, construction method, tourism inclusion, validation strategy, and adaptation focus. The replication script reproduces every inferential analysis reported in Section 3 of the article, including the Firth's penalised-likelihood logistic-regression robustness check added during revision in response to reviewer comments. The deposit was prepared in response to the reviewers' request for a publicly accessible dataset and analysis code, operationalising the Data and Code Availability commitment in Section 2.4 of the article and in Section 7 of Supplementary Material S1. File inventory: README.md — full repository documentation LICENSE.txt — CC BY 4.0 license text CITATION.cff — machine-readable citation metadata coding_matrix.csv / .xlsx — the complete coded matrix analyses.R — R replication script indicator_counts_per_study.csv — Section 3.3 inputs data_source_per_study.csv — Section 3.5 inputs indicator_dimensions_per_study.csv — Section 3.7 inputs CHECKSUMS.md5 — MD5 hashes for integrity verification Inter-rater reliability (Cohen's κ) across the eight coding dimensions was 0.89 (95% CI [0.76, 1.00]), indicating substantial agreement. Full coding manual with worked examples is provided in Supplementary Material S2 of the article.