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