This repository provides the software and data for the paper Causemann, M., Kuchta, M., Masri, R., & Rognes, M. E. (2025). In-silico solute transport via perivascular networks in the human intracranial space. In particular, it contains the following data: file description code.zip The code used to run all simulations and postprocessing steps. Detailed instructions on how to install and run the software can be found in the following github repository: https://github.com/MariusCausemann/brain-PVS-SAS-transport surfaces.zip The surface triangulations extracted from the segmentations in .ply format, suitable for viewing in e.g. paraview or further processing. standardmesh.zip The mesh used to run all simulations in .xdmf format. standard.xdmf : complete mesh, including markers for parenchyma and CSF spaces. standard_outer.xdmf : only CSF spaces. *_facets.xdmf: respective boundary markers pvsnetworks.zip 1D representation of the arterial and venous networks, as well as the 3D cylinder corresponding to the vessel diameter. segmentation.zip Synthseg segmentations of the T1 data and binary masks of venous and arterial networks from Hodneland et al. modelA.zip Simulation results (concentration values in CSF, parenchyma and PVS) for the baseline model in the paper. modelA.html Interactive visualization of the tracer spreading for the baseline model in the paper. Also available here. modelA.mp4 Animation of the tracer spreading for the baseline model in the paper. modelA-strongVM.zip Simulation results (concentration values in CSF, parenchyma and PVS) for the high PVS flow model in the paper. modelA-strongVM.html Interactive visualization of the tracer spreading for the high PVS flow model in the paper. Also available here. modelA-strongVM.mp4 Animation of the tracer spreading for the high PVS flow model in the paper.