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, PanamaOnline 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.26880805List 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.<br>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