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Data and code for: "Interpretability and Explainability in Systematic Conservation Planning: A Scoping Review with Implications for Antarctica"
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Data and code for: "Interpretability and Explainability in Systematic Conservation Planning: A Scoping Review with Implications for Antarctica"

Hamidreza Lashgarian azad, Mehrdad Amirghasemi, Wolfgang Garn and Sharon Robinson
Zenodo
06/08/2026

Abstract

Antarctica Explainability Explainable AI Interpretability Systematic Conservation Planning
This repository contains the scored dataset and analysis code accompanying the manuscript "Interpretability and Explainability in Systematic Conservation Planning: A Scoping Review with Implications for Antarctica" (submitted to Biological Conservation). It includes the scoring database for 279 systematic conservation planning case studies (Table_S9_CANONICAL.csv/.xlsx), a second coder's independent scoring of a 30-study subsample used for the inter-rater reliability analysis (Scores_MA.csv), and an R script (analysis.R) that reproduces every statistic and figure reported in the manuscript, including the reliability calculation. See README.md for full column definitions and instructions.
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https://doi.org/10.5281/zenodo.21816947View
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