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"CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data" datasets

<p>Datasets from the article:</p> <p><strong>CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data </strong></p> <p>by Franck Simon, Maria Colomba Comes, Tiziana Tocci, Louise Dupuis, Vincent Cabeli, Nikita Lagrange, Arianna Mencattini, Maria Carla Parrini, Eugenio Martinelli, Herv&eacute; Isambert.</p> <p>&nbsp;</p> <p>The <strong>original videos</strong> are uploaded as: &quot;20161230.zip&quot;, &quot;20170105.rar&quot;, &quot;Video_2017_0517.zip&quot;.</p> <p><strong>Details </strong>for each <strong>experiment </strong>can be found in: &quot;Experiments&#39; details.zip&quot;.</p> <p>The <strong>ROIs </strong>(ROI: Region of Interest) are uploaded as .tif files in: &quot;EXTRACTED ROIs.zip&quot;.</p> <p>The <strong>MATLAB data</strong> is uploaded in &quot;MATLAB_DATA.rar&quot; and includes: the cancer cells&#39; trajectories (subfolder: &quot;TUMOR TRAJECTORIES&quot;), the immune cells&#39; trajectories (subfolder: &quot;IMMUNE TRAJECTORIES&quot;), the ROIs videos as .mat files for the detection of cells (subfolder: &quot;ROI MAT&quot;), the ROIs further cropped for the extraction of shape descriptors (folder: &quot;ROI_TU MAT&quot;). The ROIs videos .mat files included in the last two subfolders are stopped after their apoptosis has been detected.</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
4
Engagement
4

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