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Averaged results of blood flow simulations with discrete RBC tracking for microvascular networks

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NIAID Data Ecosystem2026-03-12 收录
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https://zenodo.org/record/758632
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The dataset contains the results for blood flow simulations in 3 cerebral micorvascular networks.The microvascular networks are from the mouse parietal cortex (Blinder et al., 2013) and embedded in a tissue volume of approximately 1 cubic mm. For the blood flow simulations we used a numercial model with discrete tracking of RBCs which is described in Schmid et al., 2017. For each network the following data are provided: - Microvascular network with averaged flow and pressure field, as well as averaged values for the distribution and motion of red blood cells (RBCs). - RBC trajectories describing the motion of individual RBCs through the microvascular networks. - The data is stored as a graph, i.e. vertices connected by edges. - Details regarding the simulation parameters can be found in Schmid et al., 2017. - Data format (pickle - files containing python dictonairies). Microvascular networks: edgesDict.pkl: dictionary with edge related data (dictionary keys: flow [um^3/ms], diameter [um], tuple [-], httBC [-], nkind [-], length [um], htt [-], nRBC [-], diameters [um], points [um]) verticesDict.pkl: dictionary with vertex related data (dictionary keys: pressure [mmHg], coordinates [um], pBC [mmHg]) Additional comments on dictionary keys: - pBC: pressure boundary conditions. 'None' for internal nodes. Assigned based on the hierarchical boundary conditions approach (see Schmid et al. 2017 for details) - tuple: connectivity of graph, tuple of vertices - httBC: tube hematocrit boundary conditions. 'None' for internal nodes. Constant value assigned. - nkind: integere to describe the vessel type. 0: pial artery, 1: pial venule, 2: descending arteriole, 3: ascending venule, 4: capillaries, 5: unknown - htt: tube hematocrit - nRBC: number of red blood cells - points: list of tortuous vessel coordinates per edge - diameters: local diameter measurements associated to the 'points' key. RBC trajectories: RBC_trajectories.pkl: dictonary for each RBC with relevant tracking data (dictionary key: RBC index). The relavant tracking data per RBC is stored in another dictionary with the following keys: edges, lengths, times, pressure, nkindsMod, RBCleft Additional comments on dictionary keys per RBC: - RBCleft: bool to indicate that RBC left the computational domain - edges: edge indices through which the RBC moves on its way through the vasculature - pressure: pressure [mmHg] values at the nodes along the RBC trajectory - times: time [ms] the RBC spends in the respective edge segment - nkindsMod: nkind at the nodes along the RBC trajectory  - lengths: cummulative length travelled [um]
创建时间:
2020-10-09
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