Data accompanying the Dragomir et al 2019 manuscript

Processed imaging data accompanying the Dragomir et al 2019 manuscript. The easiest way to read the files is using the JLD2 library in Julia (tested with Julia 1.2, see https://github.com/portugueslab/Dragomir-et-al-2019-modelfit) JLD2 files are compatible with HDF5, so they can be opened with libraries in other programming languages (e.g. h5py in Python) rois.zip contains all traces from all cells extracted from the imaging data rois_fit.jld2 contains the fitting results from all ROIs (also those excluded from visualization because of poor fit) mask_binary.jld2 is a mask from which it can be determined which coordinates are inside the brain本数据集为Dragomir等人2019年研究论文配套的预处理成像数据。读取该类文件的最简方式为使用Julia语言的JLD2库（已在Julia 1.2版本中完成测试，具体参见：https://github.com/portugueslab/Dragomir-et-al-2019-modelfit）。JLD2文件与HDF5格式兼容，因此也可通过其他编程语言的对应库进行读取（例如Python中的h5py库）。rois.zip 压缩包包含了从成像数据中提取的所有细胞的全部信号轨迹；rois_fit.jld2 文件存储了所有感兴趣区域（ROIs）的拟合结果，其中包含了因拟合效果不佳而未用于可视化的区域；mask_binary.jld2 文件为二值掩码，可用于判定哪些坐标位于脑区内。