Skip to main content
zenodoopen

Time-course imaging data of nematode embryos

<p>The following repository contains directories of segmented and cropped time-course image data in ome-zarr format, used for training, validation and testing of a classifier generated by training a ResNet-18 CNN to identify stages of nematode embryos. The associated publication can be found <a href="bit.ly/nematode-classifier">here</a>. Please see our <a href="https://github.com/Arcadia-Science/2023-nematode-embryo-classifier">GitHub Repository</a> for further documentation. The following metadata corresponds to each directory:</p><p><strong>Date: Species, Strain, Perturbation</strong></p><p>230719: <i>C. elegans</i>, DQM327, control (wild-type)</p><p>230817: <i>C. elegans</i>, N2, heat shock</p><p>231031: <i>C. elegans</i>, DQM327, control (0M NaCl) and osmotic shock (0.5M NaCl and 0.75M NaCl)</p><p>231012: <i>O. tipulae</i>, CEW1, wild-type</p><p>231013: <i>C. portoensis</i>, EG4788, wild-type</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0