PD Discovery Benchmark Dashboard v1.0.1

Maintenance release to trigger Zenodo archiving after GitHub-Zenodo integration. Content matches the CI-validated v1.0 benchmark package, with public mirrors at Hugging Face and Kaggle. Research and hypothesis-generation resource only; not clinical decision support and not evidence of cure or definitive prevention.

PD Discovery Benchmark Dashboard v1.0.0

PD Discovery Benchmark Dashboard v1.0.0

Initial public release of the Parkinson's disease discovery benchmark dashboard.

Included

• integrated target benchmark table;
• compound selectivity and safety-liability triage matrix;
• curated validated-repurposing and comparator/exclusion tables;
• experimental validation matrix for iPSC/stem-cell and pathway assays;
• multi-dataset omics/pathway recurrence outputs;
• GraphML and CSV knowledge graph exports;
• publication-ready PNG/SVG figures;
• Streamlit dashboard;
• resource manuscript draft;
• GitHub Actions validation workflow;
• Hugging Face, Kaggle, and GitHub deployment metadata.

Public Mirrors

• GitHub: https://github.com/hssling/pd-discovery-benchmark-dashboard
• Hugging Face Datasets: https://huggingface.co/datasets/hssling/pd-discovery-benchmark-dashboard
• Kaggle Datasets: https://www.kaggle.com/datasets/jkhospital/pd-discovery-benchmark

Validation

The release passed:

• python scripts/04_validate_resource.py
• dashboard syntax compilation;
• GitHub Actions repository validation.

Scientific Scope

This is a research benchmark and hypothesis-generation resource. It is not clinical decision support, not a prevention guideline, not a treatment recommendation system, and not evidence that any intervention prevents or cures Parkinson's disease.