This repository contains the FUS Degradome Foundation Atlas, an open-access dataset providing a comprehensive in silico reconstruction of the proteolytic fragment landscape of FUsed in Sarcoma (FUS). Rather than treating FUS as a single, static protein, the atlas represents FUS as a dynamic ensemble of peptide fragments generated through normal protein turnover and regulated proteolytic cleavage.The dataset enumerates all theoretically possible FUS peptide fragments derived from predicted enzymatic and chemical cleavage sites. For each fragment, biochemical and biophysical properties are calculated, enabling peptide-level analysis suitable for proteomics, biomarker discovery, and computational biology workflows. The present release includes the wild-type FUS sequence, with a framework designed for straightforward expansion to disease-associated mutations, including amyotrophic lateral sclerosis (ALS)-linked variants.All data are provided in structured CSV format alongside a fully reproducible Python workflow and accompanying documentation. This repository is intended to support research into neurodegenerative disease mechanisms, RNA-binding protein biology, autoimmunity, peptide-antibody interactions, and machine-learning-based analyses. The FUS Degradome Foundation Atlas complements existing degradome resources and contributes to a systematic understanding of protein fragmentation in health and disease.