The dataset contains raw hemispherical photographs of canopy structure representative for 0.5 ha permanent plots (26) across Caatinga area in Brazil. The photographs were taken between March 2017 and August 2019, using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. When processed the photos provide a representative value of LAI (Leaf area index) for the plot. Full details about this dataset can be found at https://doi.org/10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0

Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil. 17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation capacity, electron transport capacity, leaf respiration in the dark, stomatal conductance, stem CO2 efflux, leaf mass per area, leaf nitrogen and phosphorus content, branch wood density, leaf water potential, xylem pressure, lumen conductance, percentage loss of conductivity, hydraulic Safety Margin and leaf area to sapwood area ratio) of 176 trees (most common genera) were sampled across two experimental plots: a one-hectare through-fall exclusion plot with a plastic panel structure that excludes 50% of the canopy through-fall and has done since 2002 and a corresponding one-hectare control plot without any drought structure. This data comes from the Caxiuanã through-fall exclusion (TFE) experiment located in the terra firma forest, on yellow oxisol soils at 15 m above sea level, with a mean annual rainfall between 2,000–2,500 mm and a pronounced dry season between June and November. Full details about this dataset can be found at https://doi.org/10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462

This dataset contains measurements of ozone (O3) concentrations, and environmental conditions experienced by tropical tree species grown in a series of experiments using Open Top Chambers (OTC’s) conducted between July 2020 and November 2022 This also includes information on final biomass and leaf-level functional traits of experimental plants. The species studied include Brachichyton acerifolius, Carallia brachiate, Calophyllum inophyllum, Chionanthus ramiflorus, Darlingia darlingiana, Flindersia pimenteliana, Homalanthus novo-guineensis, Inga edulis, Syzygium gustavioides, and Theobroma cacao. Environmental variables recorded included air temperature, relative humidity and photosynthetically active radiation, alongside O3 concentrations in each of nine OTC’s. While harvested plants were analysed to determine total dry-biomass and biomass partitioning as well as leaf functional traits such as leaf mass per unit are, antioxidant capacity, total phenolic content and leaf nitrogen content. This dataset also contains the calculated phytotoxic O3 dose (POD) for each species calculated when employing the DO3SE model and parametrized function of stomatal conductance. This data was supported by the NERC project, NE/R001812/1: Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz). Full details about this dataset can be found at https://doi.org/10.5285/10b70ce2-29ac-4676-a664-b6054b5ef650

This dataset includes spatially-explicit input, output and summary data from the use of dynamic global vegetation model, the Joint UK Land Environment Simulator (JULES V5.6). This includes the spatial extent of extant, current-secondary and potential- secondary forests, as well as both preindustrial (1900-1910) and recent (2005-2014) average O3 concentrations resampled at a spatial resolution of 1.25 deg latitude by 1.875 deg longitude. Output data includes the modelled impact of O3 on net-primary productivity (NPP) of tropical forests under current O3 concentrations as well as the cumulative impact on the global carbon cycle. This dataset was created to model predicted impacts of ozone (O3) on tropical forests across the globe between 1900 and 2015, and is supported by NERC PROJECT: NE/R001812/1 Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz). Full details about this dataset can be found at https://doi.org/10.5285/87412c44-f11a-4182-b182-47d872ad7ebd