Repository for the manuscript "Combined topological and spatial constraints are required to capture the structure of neural connectomes" The folders titled *_data (where * is fly, mouse, and human) contain the processed individual neuron information and connectome/contactome structure. Below is a brief summary of the columns of the .csv files contained in each of these folders. Summary of processed data Neuron information *_basic_neuron_info.csv id : ids of the neurons in the publicly released data sets x_cm (y_cm, z_cm) : x (y, z) position of the center of mesh, nm *_extended_neuron_info.csv id : ids of the neurons in the publicly released data sets x_soma (y_soma, z_soma) : x (y, z) position of the soma, nm x_cm (y_cm, z_cm) : x (y, z) position of the center of mesh, nm degree : undirected degree of each neuron presynaptic_degree : pre-synaptic degree (# of post-synaptic neighbors) of each neuron postsynaptic_degree : post-synaptic degree (# of post-synaptic neighbors) of each neuron weighted_presynaptic_degree : # of relevant (established with other neurons we consider) pre-synapses of each neuron weighted_postsynaptic_degree : # of relevant (established with other neurons we consider) post-synapses of each neuron pca_1_x (pca_1_y, pca_1_z) : dominant principle component x (y, z) direction based on the mesh vertices evr_1 : explained variance ratio of the dominant principle component direction linear_span_pca_1 : linear span of the neuron along the dominant principle component direction n_mesh_vertices : number of mesh vertices Note that we use the index of the row corresponding to each neuron (e.g., integers from 0 to 15731 for the human data, also in index column) as connectome and contactome node labels in the .csv files below. Connectome *_directed_connectome.csv Here, each row corresponds to a pair of neurons (i,j), s.t. an edge from i to j exists i : pre-synaptic neuron index j : post-synaptic neuron index weight : number of synapses from neuron i to neuron j *_weighted_connectome.csv Here, each row corresponds to a pair of neurons **(i,j)**, i