Data set: Blood flow simulation and uncertainty quantification in extensive microvascular networks: Application to brain cortical networks
Authors/Creators
- 1. Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Denmark
Description
Data set info:
Data files with simulation results underlying figures and summary statistics presented in tables and figures in:
PM Rasmussen. Blood flow simulation and uncertainty quantification in extensive microvascular networks: Application to brain cortical networks. Microcirculation 32, no. 7 (2025): e70027, https://doi.org/10.1111/micc.70027
Corresponding author:
Peter Mondrup Rasmussen, Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. pmr@cfin.au.dk. ORCID: 0000-0001-6849-0788
Data set DOI:
https:// doi.org/10.5281/zenodo.15373376
Data set license:
Data files: CC BY 4.0 license, https://creativecommons.org/licenses/by/4.0/
R analysis scripts: GNU GPL v3 license, https://www.gnu.org/licenses/gpl-3.0.txt
Data description:
See dataDescription.pdf for more information.
Files
dataDescription.pdf
Files
(127.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:8b0921fcae59249e6e6c25a3c52d7f50
|
187.5 kB | Preview Download |
|
md5:a2bbbbc10f08f02a75d96064d024212d
|
127.2 MB | Download |
Additional details
Related works
- Is published in
- Journal article: 10.1111/micc.70027 (DOI)
Software
- Repository URL
- https://github.com/neuro8000/NetInf
References
- PM Rasmussen. Blood flow simulation and uncertainty quantification in extensive microvascular networks: Application to brain cortical networks. Microcirculation 32, no. 7 (2025): e70027, https://doi.org/10.1111/micc.70027