This dataset consists of measured data of flower numbers and flower size following ozone and warming treatments in the solardomes experimental facility at UKCEH. Ozone and meteorological conditions in the solardomes were also sampled continuously, and hourly data are provided for each parameter. The ozone exposure and warming treatments were from 1st June to 25th October 2021 and flowers were counted and measured monthly over the period June to September 2021. Plants were obtained as ‘plug plants’ and were grown in pots in the solardomes. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/a33d5ee3-d201-4feb-83b9-765ee5b2c25e

This dataset contains gridded model outputs of the predicted risk to C4 sugarcane production across south central Brazil for 2010-2014. The outputs are given as production in kg m-2 yr-1, percentage of control production (%) and production losses in kg yr-1 and Tg yr-1. The spatial resolution is 1.25 x 1.875 degrees. Three different levels of ozone susceptibility (low, moderate or high) and two distinct threshold values of phytotoxic ozone dose (0 and 2 nmol m-2 s-1) were considered. Full details about this dataset can be found at https://doi.org/10.5285/1513d8ed-67a9-40fc-a8e5-bd7864d0d422

This dataset contains measurements of plant biomass and leaf-level functional traits from sugarcane plants of four different genotypes that were grown under different ozone (O3) conditions in Open Top Chambers for approximately 90 days. It also contains the calculated phytotoxic ozone dose for each of the four genotypes, the O3 concentration measurements and the environmental conditions (air temperature, relative humidity, and photosynthetically active radiation). The four genotypes tested were: Saccharum officinarum L. cv. Badila, Saccharum spontaneum cv. Mandalay, Q240, and CTC4. Full details about this dataset can be found at https://doi.org/10.5285/68adb7d4-6138-4d70-b469-2471349b331a

Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of atmospheric constituents such as halocarbons, hydrocarbons, methane, nitric oxide, and carbon monoxide. This dataset is public. Oxidation of almost all trace gases released into the atmosphere is initiated by hydroxyl (OH) radicals, produced mainly from the action of near-UV light on ozone in the presence of water vapour. Increasing evidence suggests that the oxidative capacity of the troposphere has been perturbed in recent years due to the emission of gases such as methane, carbon monoxide, non-methane hydrocarbons and nitrogen oxides from man-made sources. These perturbations may be causing changes in the natural atmospheric composition, for instance increasing tropospheric levels of the greenhouse gas ozone, which has important consequences for climate and human health. It is also possible that the rates of oxidation of gases such as methane, and production of sulphate aerosols from the oxidation of sulphur dioxide, have been modified. Taken together a change in the oxidative capacity of the atmosphere has many consequences for the long-term stability of the Earth's climate. SOAPEX-2 builds upon the success of the original SOAPEX-I experiment conducted at Cape Grim in January/February 1995 which resulted in the publication of several papers to the literature on the relationship between concentrations of peroxy radicals and uv light levels in different NOx concentration regimes, and the consequences for ozone production and loss in the marine boundary layer. SOAPEX-2 is a more complete experiment with the addition of atmospheric measurements of key new species including hydroxyl, hydroperoxyl, halogen oxide and nitrate radicals, non methane hydrocarbons, speciated aldehydes, PAN and halocarbons. SOAPEX-2 involves four groups of tropospheric scientists from the UK and Australia, namely the Universities of East Anglia, Leeds and Leicester along with CSIRO (Commonwealth Scientific Research Organisation), Melbourne. The clean air photochemistry experiment is an essential prerequisite for experiments carried out in more polluted atmospheres. The data obtained is allowing rigorous testing of basic mechanisms which describe the behaviour of free radical concentrations at differing light levels, water vapour and nitrogen oxide concentrations, etc. The measurements performed in this project are expected to yield valuable information on chemical changes that are affecting the oxidative capacity of the global troposphere and, therefore, the rate at which the global atmosphere can cleanse itself of pollutants. The measurements are also highly relevant to the situation in more polluted atmospheres, where increased levels of confidence in our understanding of atmospheric chemistry is an essential prerequisite to any legislation designed to reduce regional and global pollution. The specific objectives of SOAPEX-2 are: * To quantitatively test fast photochemical theory in clean air. * To examine perturbations from the baseline situation in polluted continental air containing more complex mixtures of free radical sources and sinks * Investigation of the balance between tropospheric O3 production and destruction in differing NOx regimes * A test of instrumental performance * Testing of models used to simulate chemical processes in the lower atmosphere which are deficient in their description of boundary layer processes

This dataset consists of a vector layer (based on 1 by 1degree grid), of modelled ozone flux (POD1IAM, mmol m-2), The values per grid cell are Phytotoxic Ozone Dose above a threshold of y (y=1 nmol m−2 sec−1 in this case) for use in large-scale Integrated Assessment Modelling (IAM). The accumulated flux value per 90-day grassland growing season (mid-April to mid-July) is provided per grid cell, for the year 2018, across the UK and USA. Full details about this dataset can be found at https://doi.org/10.5285/afadb068-7e35-4271-bf07-0227d0a7a10f

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

[This dataset is embargoed until April 1, 2026]. The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and 2024. Monthly mean atmospheric ammonia concentrations are provided from 33 sites across the five countries. This dataset provides the first ever empirical measurements of ammonia from South Asian forests and can be used to estimate ecological impact, inform policy decisions, validate atmospheric chemistry transport models and satellite data and design future air quality and ecological monitoring in the region. The ammonia concentration data was collected monthly by deploying passive citric acid-coated samplers at the study locations. Full details about this dataset can be found at https://doi.org/10.5285/9c4aee69-3693-4f18-97c8-ff740045f3de

These datasets contain aphid/parasitoid abundances and glucosinolate concentrations associated with Brassica napus plants within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning farm. Full details about this dataset can be found at https://doi.org/10.5285/b28c13f2-7355-4c4b-8c34-10470e1772d1

The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the University of Reading's Sonning Farm, UK. Full details about this dataset can be found at https://doi.org/10.5285/d2e0cf65-010c-4206-8302-195449d0acba

[THIS DATASET HAS BEEN WITHDRAWN]. Atmospheric Nitrogen Dioxide data from the UK Environmental Change Network (ECN) terrestrial sites. These data (weight of NO2) are collected by diffusion tubes at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1993 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/c770b7c2-8d52-454f-936c-2999338bdee7