CElegans_Multiplex_Neuronal.zip

The dataset representing the multiplex neuronal network of the nematode "Caenorhabditis Elegans". If you use this dataset in your work either for analysis or for visualization, you should acknowledge/cite the following papers: <br> “Wiring optimization can relate neuronal structure and function” Beth L. Chen, David H. Hall, and Dmitri B. Chklovskii PNAS 2006 103 (12) 4723–4728 “MuxViz: A Tool for Multilayer Analysis and Visualization of Networks” Manlio De Domenico, Mason A. Porter, and Alex Arenas Journal of Complex Networks 2015 3 (2) 159-176 that can be found at the following URLs: <br> <br> <br> This work has been supported by European Commission FET-Proactive project PLEXMATH (Grant No. 317614), the European project devoted to the investigation of multi-level complex systems and has been developed at the Alephsys Lab. <br> Visit <br> PLEXMATH: <br> ALEPHSYS: <br> for further details. <br> Caenorhabditis elegans connectome, where the multiplex consists of layers corresponding to different synaptic junctions: electric (“ElectrJ”), chemical monadic (“MonoSyn”), and polyadic (“PolySyn”). <br> The multiplex network used in the paper makes use of three layers corresponding to: <br> 1. Electric (“ElectrJ”) 2. Chemical Monadic (“MonoSyn”) 3. Chemical Polyadic (“PolySyn”) <br> There are 279 nodes, labelled with integer ID between 1 and 279, and 5863 synaptic connections. The multiplex is undirected (with only one direction specified) and unweighted, stored as edges list in the file celegans_connectome_multiplex.edges <br> with format <br> layerID nodeID nodeID weight <br> (Note: weight is 1 for all edges) <br> The IDs of all layers are stored in <br> celegans_connectome_layers.txt <br> The IDs of nodes, together with their name can be found in the file <br> celegans_connectome_nodes.txt <br> <br> <br>

本数据集用于表征秀丽隐杆线虫（Caenorhabditis Elegans）的多层神经元网络。若您在研究中使用本数据集进行分析或可视化，请引用以下两篇论文：
"连接组优化可关联神经元结构与功能"，作者Beth L. Chen、David H. Hall与Dmitri B. Chklovskii，发表于《美国国家科学院院刊（PNAS）》2006年，第103卷第12期，页码4723–4728；
"MuxViz：用于多层网络分析与可视化的工具"，作者Manlio De Domenico、Mason A. Porter与Alex Arenas，发表于《复杂网络期刊（Journal of Complex Networks）》2015年，第3卷第2期，页码159–176。
相关论文可通过以下链接获取：

本研究得到欧盟委员会FET前瞻性项目PLEXMATH（项目编号：317614）以及旨在探究多层复杂系统的欧盟项目资助，开发工作完成于Alephsys实验室。
如需了解更多详情，请访问：
PLEXMATH：
ALEPHSYS：

秀丽隐杆线虫连接组的多层网络包含对应不同突触连接类型的层：电突触（ElectrJ）、化学单突触（MonoSyn）与化学多突触（PolySyn）。
本论文所使用的多层网络包含以下三个层：
1. 电突触层（ElectrJ）；2. 化学单突触层（MonoSyn）；3. 化学多突触层（PolySyn）。
该多层网络包含279个节点，节点ID为1至279的整数，共计5863条突触连接。该网络为无向网络（仅标注单方向）且无权，以边列表形式存储于文件celegans_connectome_multiplex.edges中，文件格式为：layerID nodeID nodeID weight（注：所有边的权重均为1）。
所有层的ID存储于文件celegans_connectome_layers.txt中；节点ID及其名称可在文件celegans_connectome_nodes.txt中查询。

搜集汇总

背景与挑战

背景概述

该数据集为线虫'Caenorhabditis Elegans'的多重神经元网络，包含三个突触连接层（电性、化学单突触和化学多突触），共279个节点和5863个突触连接，数据以无向、无权重的边列表形式存储。