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Data accompanying the Dragomir et al 2019 manuscript

<p>Processed imaging data accompanying the Dragomir et al 2019 manuscript.</p> <p>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)</p> <p>JLD2 files are compatible with HDF5, so they can be opened with libraries in other programming languages (e.g. h5py in Python)</p> <p>rois.zip contains all traces from all cells extracted from the imaging data</p> <p>rois_fit.jld2 contains the fitting results from all ROIs (also those excluded from visualization because of poor fit)</p> <p>mask_binary.jld2 is a mask from which it can be determined which coordinates are inside the brain</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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