Sapling regeneration within canopy gaps in a temperate montane riparian forest.
<p>This is a dataset of sapling regeneration within canopy gaps in a temperate montane riparian forest.</p> <p>The followings are details of each file.</p> <p><strong>GapSeedlings_v1.0.0.csv</strong></p> <ul> <li><code>Plot</code> Integer. The ID of plots, some plots include more than one gap.</li> <li><code>Gap</code> Factor. The ID of gaps.</li> <li><code>Quadrat</code> Integer. The ID of quadrats within a gap.</li> <li><code>stemID</code> Character. The ID of stems.</li> <li><code>Sp.</code> Factor. The species names.</li> <li><code>Family</code> Factor. The family name of the species.</li> <li><code>Substrate</code> Factor. Established substrates. NA means that it was not recorded.</li> <li><code>Heightyyyy</code> Numeric. Vertical heights of trees (cm) in yyyy. The individuals with <code>CensusIn2020</code> = 0, their <code>Height2020</code> is NA because they had not been censused in 2020.</li> <li><code>Lengthyyyy</code> Numeric. Length of trees (cm) in yyyy. The individuals with <code>CensusIn2020</code> = 0, their <code>Length2020</code> is NA because they had not been censused in 2020.</li> <li><code>DBH1_yyyy</code>, <code>DBH2_yyyy</code> Numeric. Diameter at breast height (mm) in yyyy. DBH1 and DBH2 were measured to cross at right angles. The individuals with <code>CensusIn2020</code> = 0, their <code>DBH2020_1</code> and <code>DBH2020_2</code> are NA because they had not been censused in 2020.</li> <li><code>Cmtyyyy</code> Character. Comments in yyyy.</li> <li><code>CensusIn2020</code> Factor. 1 means that the plot was censused in 2020, 0 does not.<br> </li> </ul> <p><strong>Map_Gaps.pdf</strong><br> <code>p. 1</code>: The overall picture of the positional relations between each gap.<br> <code>pp. 2-19</code>: The details of gaps.</p> <p> </p> <p><strong>Metadata_GapSeedlings.txt</strong><br> Metadata of "<strong>GapSeedlings_v0.1.0.csv</strong>".<br> It is the same as this description.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4
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