################ #### README #### ################ ################ Title of the dataset: Data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR" ################ ################ Creators: Gonzalez de Tanago, J. (https://orcid.org/0000-0001-5461-8250) Lau, A.* (https://orcid.org/0000-0002-0419-7002) Bartholomeus, H.* (https://orcid.org/0000-0002-1905-7678) Herold, M. (https://orcid.org/0000-0003-0246-6886) Avitabile, V. (https://orcid.org/0000-0003-3646-052X) Raumonen, P. (https://orcid.org/0000-0001-5471-0970) Martius, C. (https://orcid.org/0000-0002-6884-0298) Goodman, R. C. Disney, M. (https://orcid.org/0000-0002-2407-4026) Manuri, S. (https://orcid.org/0000-0002-5218-8725) Burt, A. Calders, K. (https://orcid.org/0000-0002-4562-2538) *This data is free to download and available for your use as long as the proper reference, as specified above, is applied. We are also open to collaboration, so do not hesitate to contact us with ideas or questions to: alvaro.lausarmiento@wur.nl and/or harm.bartholomeus@wur.nl ################ ################ Related publication: This data is owned by CIFOR and Wageningen University. Use, reporting, presentation or publication of results based on this dataset requires citation as below: Gonzalez de Tanago, J, Lau, A, Bartholomeus, H, et al. Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR. Methods Ecol Evol. 2018; 9: 223– 234. https://doi.org/10.1111/2041-210X.12904 ################ ################ Description: 1_ReferenceMeasurementData (Destructive sampling tree AGB data): Destructive sampling measurement data of 29 large tropical trees from 3 sites (Indonesia, Peru and Guyana) for estimating tree wood volume and tree AGB. 2_AllometricEqInventoryData (Forest inventory data): Forest inventory data of 29 individual large tropical trees from 3 sites (Indonesia, Peru and Guyana) for estimating tree AGB with allometric equations. 3_QsmCylinderData (Quantitative Structure Models): Quantitative Structural Models (QSM) cylinder model outputs (3D tree architecture models), generated from the individual TLS point cloud data of 29 large tropical trees from 3 sites (Indonesia, Peru and Guyana). 4_LidarTreePoinCloudData (TLS tree point cloud data): TLS point cloud data for 29 large tropical trees in 3 study sites: Indonesia (peat swamp forest in Central Kalimantan, Borneo), Peru (lowland tropical moist forest in Madre de Dios) and Guyana (lowland tropical moist forest in Cayuni-Mazaruni). README.txt : This file ################ ################ Keywords: above-ground biomass, allometric models, LiDAR, terrestrial laser scanning, tree volume, tropical trees, 3D modelling ################ ################ Spatial coverage (lat/long): Guyana dataset: 6.04 lat −58.70 long Indonesia dataset: −2.41 lat 113.13 long Peruvian dataset: −12.27 lat −69.10 long For more details, please refer to Table 1 of main document (https://doi.org/10.1111/2041-210X.12904) ################ ################ Temporal coverage: Guyana dataset: November 2014 Indonesia dataset: August 2014 Peruvian dataset: November 2013 ################ ################ This dataset contains the following files and the explanation of variables: 1_ReferenceMeasurementData: GUY.h.trees: 1. PlotID: ID of the plot. 2. treeID: tree ID. 3. Latitude: GPS latitude of tree (lat). 4. Longitude: GPD longitude of tree (long). 5. GFC_tag: Internal tree tag used by Guyana Forestry Commission. 6. DBH: Diameter of breast height (cm). 7. Height: Height measured with laser (see section 2.2.2) (m). 8. post_DBH: Diameter of breast height (cm) post-harvested. 9. post_height: Height measured post-harvested (m). 10. E : Environmental strees (see http://chave.ups-tlse.fr/pantropical_allometry.htm). 11. Genus: Tree Genus 12. Species: tree species 13. Specie_common: Common name of tree. 14. Density: tree density, from literature (gr/cm3). IND.h.trees: 1. PlotID: ID of the plot. 2. treeID: tree ID. 3. Specie_common: Common name of tree. 4. Species: tree species 5. DBH: Diameter of breast height (cm). 6. Height: Height measured with laser (see section 2.2.2) (m). 7. Group: tree group (See Appendix S5. Equations used for tree above ground biomass estimation with allometric model) 8. WD_avg: Averaged wood density (gr/cm3) 9. WDG: Wood density from literature (gr/cm3) 10. Latitude: GPS latitude of tree (lat). 11. Longitude: GPD longitude of tree (long). 12. E : Environmental strees (see http://chave.ups-tlse.fr/pantropical_allometry.htm). PER.main.trees: 1. PlotID: ID of the plot. 2. treeID: tree ID. 3. Species: Tree species (from our guide). 4. Density: tree density, from literature (gr/cm3). 5. DBH: Diameter of breast height (cm). 6. CW.1: crown diameter N-S. (m). 7. CW.2: crown diameter E-W. (m). 8. H.laser: Height measured with laser (see section 2.2.2) (m). 9. H.Feldpausch Height estimated using Feldpausch formula (m). 10. H.post: Height measured post-harvested (m). 11. Latitude: GPS latitude of tree (lat). 12. Longitude: GPD longitude of tree (long). 3_QsmCylinderData: Cylinder data file contains info of each cylinder, whose name/index is the row index/number in the file and info is given by the following columns: 1. radius 2. length 3. x-coordinate of the starting point 4. y-coordinate of the starting point 5. z-coordinate of the starting point 6. x-component of the cylinder axis 7. y-component of the cylinder axis 8. z-component of the cylinder axis 9. index (row number in this file) of the parent cylinder 10. index (row number in this file) of the extension cylinder 11. branch (row number in the branch data-file) of the cylinder 12. branch order of the branch the cylinder belongs 13. running number of the cylinder in the branch it belongs 14. Indication if the cylinder is added after normal cylinder fitting (=1 if added) See https://github.com/QSMtrees for an detailed explanation of TreeQSM. 4_LidarTreePoinCloudData: individual tree pointcloud as an ASCII file with three columns (X, Y, Z) in local coordinates. ################ ################ Methods, materials and software: For methods, materials and software, refer to section 2 (Material and Methods) of main document (https://doi.org/10.1111/2041-210X.12904) ################ ################ This dataset is published under the CC BY (Attribution) license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.