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

表S1：巴拿马巴罗科罗拉多岛NGEE-Tropics数据集列表<br>本补充材料源自Chitra-Tarak, R.、J. F. Needham、A. Hanbury-Brown、E. Robles、C. Varadharajan、R. Knox及L. Kueppers于2024年发表的论文：《借助巴罗科罗拉多岛的数据-模型整合提升对热带森林的认知与植被模型预测能力》，收录于《巴罗科罗拉多研究百年：植物与生态系统科学》（H. C. Muller-Landau与S. J. Wright编辑），史密森尼学术出版社。DOI：10.5479/si.26880805<br><br>本列表收录了源自巴罗科罗拉多岛（Barro Colorado Island, BCI）观测、专门用于植被人口模型（Vegetation Demography Models, VDMs）的带数字对象标识符（Digital Object Identifier, DOI）的数据产品，以及NGEE-Tropics项目为填补植被人口模型模拟所需关键观测数据空白所生成的新数据集与模拟输出结果。完整数据集可通过NGEE-Tropics档案库（https://ngt-data.lbl.gov/dois/）公开获取。数字对象标识符（DOI）是可用于引用数据产品的永久标识符。每个数据集均分配有项目标识符（Dataset ID，数据集ID）。本列表截至2023年4月。此处所列数据产品，为巴罗科罗拉多岛百余年研究历程中产生的所有科研数据集之外的补充数据。<br><br>在线资源引用：Chitra-Tarak, R.、J. F. Needham、A. Hanbury-Brown、E. Robles、C. Varadharajan、R. Knox及L. Kueppers. 2024. 第59章——借助巴罗科罗拉多岛的数据-模型整合提升对热带森林的认知与植被模型预测能力——表S1：巴拿马巴罗科罗拉多岛NGEE-Tropics数据集列表. 史密森尼Figshare. https://doi.org/10.25573/data.22775651