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This archive contains the data and code used for the analyses in the manuscript: “Endogenous pathology in tauopathy mice progresses via brain networks”. One-Sentence Summary: Whole brain imaging of tau deposition reveals retrograde-dominant network-based propagation in a tauopathy mouse model. Data files File Description Ramirez_etal_ProbMaps_ccf_10um.zip Registered 8-bit probability maps in the same dimensions as the 10um resolution Allen Institute for Brain Science Common Coordinate Framework atlas. probability_per_structure_background_subtracted.csv Background-subtracted p-tau intensity values per brain region Code repositories File (GH release link) Description https://github.com/julianmeeks/utsw_wbmf_stpt_tau/releases/tag/v1.0.1 MATLAB scripts and associated files used to compile sample x region matrices of p-tau density. https://github.com/DrJigsaw/tau_network_analysis/releases/tag/v1.0.0 Code to quantify tau values per structure contrasted against background levels. https://github.com/nikhil153/tau_network_spread_analysis/releases/tag/v1.0.0 Python scripts and notebooks to 1) define a network based on directional anatomical connectome and 2) fit and compare diffusion models of tau spread. Note: Detailed documentation to reproduce analyses and figures in the manuscript is provided on the individual GitHub code repositories listed in the table (file hyperlinks). &nbsp