Whole-brain Neuron Reconstructions for Building Neuronal Connections at Multi-levels

The dataset for construct connection networks of single neurons, including 1,877 neuron reconstructions, predicted bouton data, and 18,370 neurons. All neuronal morphologies were resampled with a spacing of 1 µm between consecutive points to ensure uniform reconstruction of the structures. The generated connectomes are also archived on the repository. 1877-CELL_METADATA.xlsx: metadata of 1,877 neurons; SEU_1um.zip: 1,877 neuron reconstructions (full morphology); DEN-18370.zip: 1,877 neuron reconstructions (dendritic morphology); predicted_bouton_locations.zip: predicted bouton data (only coordinates and the corresponding neurons); jupyter tutorial: to generate connectivity matices of connectomes, and perform related analysis; arbor-net connections: arbor-net, single-neuron connectivity; bouton-net connections: bouton-net, single-neuron connectivity; all bouton from F1877: processed bouton locations, including their coordinates and brain regions; PACs from F1877: PACs from F1877 dataset, including coordinates, soma locations, and region of locations; SEU_net_w_corticalLayers and SEU_net_wo_corticalLayers: SEU-net brain region connectivity w or wo cortical layers.本数据集用于构建单个神经元的连接网络，包含1877份神经元重建结果、预测的突触扣结（bouton）数据以及18370个神经元。所有神经元形态均以连续点间距1 µm进行重采样，以确保结构重建的一致性。所生成的连接组亦已存档至该存储库中。 1877-CELL_METADATA.xlsx：1877个神经元的元数据； SEU_1um.zip：1877份完整形态的神经元重建结果； DEN-18370.zip：1877份树突形态的神经元重建结果； predicted_bouton_locations.zip：预测的突触扣结位置数据，仅包含坐标及其对应神经元信息； Jupyter tutorial：用于生成连接组的连通性矩阵并开展相关分析； arbor-net connections：arbor-net，单神经元连通性； bouton-net connections：bouton-net，单神经元连通性； all bouton from F1877：经处理的突触扣结位置数据，包含其坐标与脑区信息； PACs from F1877：F1877数据集的PACs，包含坐标、胞体位置及所在脑区； SEU_net_w_corticalLayers 与 SEU_net_wo_corticalLayers：带皮层分层与不带皮层分层的SEU-net脑区连通性数据。