Chapter 59 - Advancing our understanding of tropical forests and improving the predictive capability of vegetation models with data-model integration at BCI - Table S1 - List of NGEE-Tropics Datasets, Barro Colorado Island, Panama

Table S1. List of NGEE-Tropics Datasets, Barro Colorado Island, Panama
Online Supplementary Material for
Chitra-Tarak, R., J. F. Needham, A. Hanbury-Brown, E. Robles, C. Varadharajan, R. Knox, and L. Kueppers. 2024. Advancing Our Understanding of Tropical Forests and Improving the Predictive Capability of Vegetation Models With Data-Model Integration at BCI. In The First 100 Years of Research on Barro Colorado: Plant and Ecosystem Science, ed. H. C. Muller-Landau and S. J. Wright: Smithsonian Institution Scholarly Press. https://doi.org/10.5479/si.26880805
List of data products with DOIs derived from BCI observations specifically for use by Vegetation Demography Models (VDMs) and new data produced by the NGEE-Tropics project to fill gaps in observations important to VDM simulations, as well as simulation outputs. Complete datasets are publicly available through the NGEE-Tropics archive (https://ngt-data.lbl.gov/dois/). Digital Object Identifiers (DOI) are persistent identifiers that can be used to cite data products. Each dataset is also given a project identifier (Dataset ID). List is as of April 2023. These are data products in addition to all of the research datasets generated at BCI over 100 years.

Citation for Online Resource:
Chitra-Tarak, R., J. F. Needham, A. Hanbury-Brown, E. Robles, C. Varadharajan, R. Knox, and L. Kueppers. 2024. Chapter 59 - Advancing our understanding of tropical forests and improving the predictive capability of vegetation models with data-model integration at BCI - Table S1 - List of NGEE-Tropics Datasets, Barro Colorado Island, Panama. Smithsonian Figshare. https://doi.org/10.25573/data.22775651