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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Dataset : Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

Authors: Falkenberg, Max; Coleman, James A; Dobson, Sam; Hickey, David J; Terrill, Louie; Ciacci, Alberto; Thomas, Belvin; +5 Authors

Dataset : Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

Abstract

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

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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