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Point clouds and QSM for 598 individually scanned tree branches to support "Terrestrial laser scanning to reconstruct branch architecture from harvested branches"

<p>A collection of 598 harvested branches scanned in high resolution using terrestrial LiDAR. Branches were collected from GEM forest plots in Malaysia, Australia and Brazil.</p> <p>Branch nomenclature is <em>PLOT</em>-<em>TREE</em>-B<em>N</em>&lt;S or SH&gt; where <em>PLOT </em>codes can be found in the manuscript, <em>N</em> refers to the sample number of branch harvested from a tree, and S and SH refer to sun or shade branch respectivetly.</p> <p>For each branch there are 3 files:&nbsp;&nbsp;</p> <ul> <li>Unfiltered point clouds (raw_pc) are clipped from the original data only and have had no post processing applied</li> <li>Filtered point clouds (filtered_pc) have been filtered according to the steps in the manuscript</li> <li>QSMs were produced using <em>treegraph&nbsp;</em>(<a href="https://doi.org/10.5281/zenodo.5226212">https://doi.org/10.5281/zenodo.5226212</a>)</li> </ul> <p>Polygon File Format&nbsp;(.ply) files can be viewed in software such as CloudCompare.</p> <p>Full details of methods can be found in:&nbsp;Wilkes,&nbsp;P.,&nbsp;Shenkin,&nbsp;A.,&nbsp;Disney,&nbsp;M.,&nbsp;Malhi,&nbsp;Y.,&nbsp;Bentley,&nbsp;L. P., &amp;&nbsp;Vicari,&nbsp;M. B.&nbsp;(2021).&nbsp;Terrestrial laser scanning to reconstruct branch architecture from harvested branches.&nbsp;<em>Methods in Ecology and Evolution</em>,&nbsp;12,&nbsp;2487&ndash;2500.&nbsp;<a href="https://doi.org/10.1111/2041-210X.13709">https://doi.org/10.1111/2041-210X.13709</a></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