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