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

This dataset consists of a vector layer (based on 1 by 1° grid), of modelled daily surface nitrogen dioxide (NO2, ug m-3). A seasonal average value per grid cell was calculated for the grassland growing season (mid-April to mid-July), for the USA and UK, in 2018. Full details about this dataset can be found at https://doi.org/10.5285/d2524c77-c0b6-4228-a743-ec6f16623d80

This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for the period spanning mid-April to mid-July, for the UK and the USA, for 2018. Full details about this dataset can be found at https://doi.org/10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7