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The three files in the dataset are: 1) Healthy Sheep Atria Fibre Orientation Dataset 300µm 2) Heart Failure Sheep Atria Fibre Orientation Dataset 300µm 3) Human Atria Fibre Orientation Dataset 330µm Data is stored as numpy binary files. Given below is an example .py script to open the flat datasets: import numpy as np data = np.load("Human_330um.npy") Volume and fibre orientation dataset stored in flat format as given below: i, j, k, v1, v2, v3, ... repeated for each voxel where (i, j, k) are voxel coordinates and (v1, v2, v3) are vector components corresponding to fibre orientation within that voxel.
The code used to generate the spatial networks is available at : github.com/JamesAlecColeman/reentrySpatialNetworks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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