Molecular Cartography of candidate leaf vein patterning regulators in shoot apices of maize
<p>Molecular Cartography data generated using the platform proprietary of Resolve BioSciences GmbH. This dataset constitute the supporting information of the following manuscripts: "The WIP6 transcription factor <em>TOO MANY LATERALS</em> specifies vein type in C<sub>4</sub> and C<sub>3</sub> grass leaves" (Vlad et al. https://doi.org/10.1101/2023.12.20.572592), "Spatial transcriptomics reveals distinct lineage identities for major and minor vein initiation during maize leaf development" (Perico et al. https://doi.org/10.1101/2024.02.05.578898).</p> <p>The dataset is constituted of six samples and is structured as follows:</p> <p>1) Images.zip: contains Calcofluor White and DAPI .tiff images used for cell segmentation.</p> <p>2) Cell outlines.zip: contains the zip file of all segmented cells (ROIs) in all analysed samples. </p> <p>3) Raw data.zip: contains all raw data (in .txt format) of the spatial transcriptomics fluorescent signal.</p> <p>Files that refer to the same samples are labelled the same across all folders. The sample names are: E1B2, E1D2, S1A1, S1A2, S1B1, S1B2.</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