Audible and ultrasound recordings in Panama for the purpose of monitoring bird and bat calls. The recordings were taken across 4 sites in Barro Colorado Island and the Gamboa forest region around sunrise and sunset hours between the 21st and the 26th of January 2023. Audible recordings were made using SM4 song meter, whilst ultrasound was recorded using a SM4BAT song meter. The Parties involved in data collection are listed in the author section. No data are missing. Full details about this dataset can be found at https://doi.org/10.5285/eeb7c6dc-2ad8-4375-ad86-523a6e570170

Dataset contains images recorded during a trial of Automated Monitoring of Insects (AMI), Automoth and Diopsis camera systems. The images were taken at five sites in Barro Colorado Island, Panama, during night-time hours from the 23rd to the 26th of January 2023. The parties involved in data collection are listed in the author section. Full details about this dataset can be found at https://doi.org/10.5285/b088d4bd-4abb-46d4-bc90-f4e58c65f324

This dataset contains measurements of herbivory and the potential controls on herbivory for nitrogen-fixing and non-fixing trees in a mature tropical forest of Panama. Data include herbivory measures on 1,626 leaves from 350 seedlings belonging to 43 species, 23 nitrogen-fixing species, 20 non-fixing species. Herbivory metrics are presented at the leaf and seedling level. The data also includes leaf chemical and physical traits hypothesized to influence herbivory at the species level, and seedling-level traits such as stem length and growth rate. Data were collected in 2017 by measuring leaf area missing on seedlings in the BCI 50 ha plot seedling census in order to determine whether fixers have higher rates of herbivory than non-fixers, and what traits govern herbivory. Data were collected by W. Barker, S.J. Wright, L. Comita, B. Sedio and colleagues. Funders of research generating the data include the Natural Environment Research Council, U.S. National Science Foundation, Leverhulme Trust, British Council, Society of Experimental Biology Company of Biologists, University of Leeds Priestly International Centre for Climate and Smithsonian Tropical Research Institute Full details about this dataset can be found at https://doi.org/10.5285/67c95112-edee-435f-9355-9d8bab3a5634

This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz. This data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest. Full details about this dataset can be found at https://doi.org/10.5285/f03806fa-3596-4119-90c5-70254f39cfc0

This data includes information about nitrogen fixation, phosphatase activity, plant nitrogen and phosphorus demand and soil nitrogen and phosphorus availability of nitrogen-fixing and non-fixing trees from seven species grown in an experimental plantation at the Agua Salud Native Species Plantation, El Giral, Panama (9°12'50.15''N, 79°43'26''W). Data were collected by the Smithsonian Tropical Research Institute and Princeton University and were analysed by the University of Leeds. This work was funded by the following organisations: Heising-Simons Foundation, Hoch Family, ForestGEO®, HSBC, Stanley Motta, Small World Institute Fund, Smithsonian Institution's Competitive Grants for Science, Smithsonian Institution's Grand Challenges, National Science Foundation (award reference: EAR-1360391), National University of Singapore, Smithsonian Tropical Research Institute, Yale-NUS college, Princeton University, Princeton Environmental Institute, Princeton Carbon Mitigation Initiative, University of Leeds and NERC (award reference: NE/M019497/1) Full details about this dataset can be found at https://doi.org/10.5285/3578bae2-4b88-4b2e-93e1-6965dfe1348c