Reproducibility package for: A multiobjective decision framework for selecting ML-KEM and ML-DSA to protect Pixel Data in DICOM

Data availability package for the article "A multiobjective decision framework for selecting ML-KEM and ML-DSA to protect Pixel Data in DICOM". It contains the corpus inventory (500 DICOM objects from The Cancer Imaging Archive, split into 250 development / 250 reserved), the raw per-session cryptographic timing measurements for two execution environments (E1: Intel i7 x64; E2: Snapdragon X ARM64), the acquisition code that called liboqs/pydicom/cryptography to produce those measurements, the processing and multiobjective decision-analysis code, the numbered CSV/JSON results that support every table and figure in the article, and the code for the byte-budget/appendix sensitivity analysis.Every table and figure is traced to its source file in article_file_correspondence.csv, verified against the exact numbers printed in the article (two entries are flagged rather than forced, see the README). A glossary (GLOSSARY.md) maps the recurring CSV column names to the article's notation. Integrity is verified via MANIFEST_SHA256.json and 00_verify_integrity.py.Requirements: Python >= 3.10 with pandas, numpy, scipy, scikit-learn, matplotlib for the analysis code; liboqs 0.15.0, pydicom 3.0.2, and cryptography 49.0.0 for the (platform-specific) acquisition code, which additionally requires CMake, Git, and Visual Studio 2022 Build Tools to build liboqs from source.