This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also measured during this project) are an indicator of a tree's safe operating space under dry and high vapour pressure deficit conditions. The overall purpose of the measurements made by this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71

This dataset contains information on soil physico-chemical characteristics and palm nutrient concentrations collected in 2019 across twenty-five smallholder oil palm farms in Perak, Malaysia. Leaf and rachis were sampled from 3 palms within each plot. Soils were sampled to 30cm depth in the palm circle of the same 3 palms and the adjacent inter-row area. These data were collected to assess the soil condition and nutritional status of oil palms across smallholder farms. This information was used to advise on best agronomic practice. The work was supported by the Natural Environment Research Council (Grant No. 355 NE/R000131/1). Full details about this dataset can be found at https://doi.org/10.5285/4d3813b6-714b-403a-aeeb-e2fa518a1520

A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall to the soil and was conducted over a 1ha area, alongside the experiment there is a control (non- drought plot) of a corresponding size. The samples were collected in 2017, fifteen years after the start of the experiment on trees with a diameter at breast height (1.3m) of 1-10cm. The purpose of the dataset was to assess if traits relating to plant metabolism (photosynthesis and respiration) and plant hydraulic processes had been significantly altered in trees growing under drought conditions. Full details about this dataset can be found at https://doi.org/10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

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

The data are biomass measurements from an ozone exposure experiment, during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 (Accumulated Ozone Threshold exposure of 40 parts per billion) of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). Measurements were dry weight, with a cutting height of 7cm above soil level. The distribution of plant material within the canopy was determined by separating material growing in the upper canopy (>14cm) from the canopy edge and the inner canopy for both species. The experiments were carried out in the CEH Bangor Air Pollution Facility. Work was funded by the Centre for Ecology & Hydrology Integrating Fund Initiative. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates. Full details about this dataset can be found at https://doi.org/10.5285/5de90f7a-dec9-4bd5-af52-d0873a09d25d

This dataset contains sequential biomass harvests from a plant growth experiment carried out under controlled environmental conditions in Sheffield. The experiment was carried out in three parts in 2016 and 2017, and was designed to investigate differences in growth among grasses with the C3 and C4 photosynthetic pathways, and with annual and perennial life histories. Plants were harvested approximately weekly over a period of five weeks. The data include information on the dry biomass of roots and leaves, and the numbers of roots, leaves and shoot branches. Also included is an independent dataset of leaf anatomical characteristics derived from herbarium specimens, which was used to test how mechanical support scales with leaf size. Finally, the data include the phylogenetic relationships among species, which were used in analyses. The work was funded by NERC standard grant NE/N003152/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20

Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C. Full details about this dataset can be found at https://doi.org/10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9