Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset collection contains version 2.1 ATSR Multimission land and sea surface data. The instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.

This dataset was generated from a laboratory experiment investigating the toxicity of Cerium oxide nanoparticles and non-nanoparticles to the earthworm Eisenia fetida. The toxicity test procedure followed the OECD guideline 222 (earthworm reproduction test (Eisenia fetida/andrei)). Exposure concentrations for both nano and non-nano Cerium oxide particulate forms and the cerium salt materials were 41, 102, 256, 640, 1600, 4000, 10000 mg Ce per kg (Dry Weight soil). Each replicate container held 500 g soil with ten worms. There were three replicate containers per treatment concentration. All exposures were run concurrently and hence effect could be benchmarked against a universal control treatment for the experiment. This comprised of ten separate replicates of Lufa 2.2 soil without amendment of any form of Cerium. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/87659913-c552-449f-bd00-c101ef90b300

In-situ airborne observations by the FAAM BAE-146 aircraft for Met Office Mixed Phase Cloud Studies.

This dataset collection contains in-situ airborne observations by the FAAM BAE-146 aircraft for School ON Aircraft Techniques for the studies of Atmospheric chemistry. (SONATA).

This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Parsonage Down, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. The experiment investigated the effect of different plant groups on soil carbon stores and nutrient cycling, by using a mixture of hand weeding and herbicide spot spraying to create different plant communities on the species rich grassland at Parsonage Down. The resulting carbon and nutrient cycling rates were compared to the characteristics of the plant groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/e05b350f-3cf4-4f8d-aa3c-24d562ca756b

In-situ airborne observations by the FAAM BAE-146 aircraft for AQUM - Air Quality forecasting and modelling in the Unified Model project, general Met Office flying.

In-situ airborne observations by the FAAM BAE-146 aircraft for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events.

In-situ airborne observations by the FAAM BAE-146 aircraft for South AMerican Biomass Burning Analysis (SAMBBA). SAMBBA project - a UK-Brasil Consortium funded by NERC. Biomass burning aerosols have a significant influence on climate – both directly as they scatter and absorb solar radiation – and indirectly as they influence cloud optical properties and lifetime through their ability to act as sites for cloud droplet formation. Biomass burning aerosols are a complex mixture of black carbon, organic carbon, and inorganic compounds, and are thus difficult to model accurately. While parameterisations have been developed in the climate version of the UM (e.g. HADGEM-2) that enable reasonable representation of the aerosol optical depth, significant uncertainties still exists in accurately determining the aerosol absorption (via the single scattering albedo) and the subsequent effects on radiation. These radiative effects have a significant impact on climate, which needs to be quantified over key regions such as Amazonia. Furthermore, BB aerosols have a direct impact on the performance of numerical weather prediction models. The effects of biomass burning aerosol upon cloud microphysical and optical properties play a significant role in assessing the radiative influence of clouds. These are also processes that are poorly quantified and hence provide fundamental uncertainties in weather forecasts and climate change scenarios. To improve quantification of these uncertainties, the microphysical and chemical properties of biomass burning aerosol and its precursors need to be determined yet these remain uncertain and are known to be modified during their lifetime in the atmosphere. Furthermore, it is important to assess the background state of the atmosphere in the region to understand the influence such large anthropogenic perturbations are having on the region. However, aerosol particles in the natural tropical atmosphere remain poorly understood. The aim of the SAMBBA project was to investigate the properties of biomass burning aerosols over South America. The main biomass burning season occurs during Sept/Oct when deforestation fires and agricultural burning are prolific, particularly over central and south eastern parts of Brazil. These contribute to high loadings of biomass burning aerosol over much of South America with aerosol optical depths frequently exceeding 1 in many central parts of the continent. SAMBBA was a consortium of 7 university groups, the UK Met Office and a number of Brazilian partners, which delivered a suite of ground, aircraft and satellite measurements of Amazonian BBA and use this data to: -improve our knowledge of BB emissions; -challenge and improve the latest aerosol process models; -challenge and improve satellite retrievals; -test predictions of aerosol influences on regional climate and weather over Amazonia and the surrounding regions made using the next generation of climate and NWP models with extensive prognostic aerosol schemes; and -assess the impact of biomass burning on the Amazonian biosphere.

ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1). This dataset collection contains atmospheric measurements from Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft, the British Antarctic Survey (BAS) Masin aircraft and from RRS James Clark Ross ship. This dataset collection also contains data from specially configured Met Office Unified Model runs. Data from corresponding ship measurements are also available. The climate of the Arctic is changing faster than that almost anywhere else on Earth, warming at a rate of twice the global average. This warming is accompanied by a rapid melting of the sea ice and a thinning of the ice that remains from year to year. The strong warming in the Arctic is due to several positive feedback processes, including a sea-ice albedo feedback (warmer conditions melt ice, lowering the average reflectivity of the mixed ice/ocean surface and thus absorbing more solar radiation, leading to increased ice melt and further lowering of the albedo) and several cloud feedbacks. There is a large uncertainty in models of the Arctic climate primarily because of the poor representation of physical processes within the models - particularly the representation of Arctic clouds, and due to some unique and particularly challenging conditions. A better understanding of cloud and aerosol processes in the Arctic is critical to understanding the polar atmosphere and developing more realistic climate models. To address this issue the ACCACIA project embarked on an intensive measurement campaign in the Svalbard archipelago near the margin of permanent Arctic sea ice cover resulting in a comprehensive dataset comprising of airborne in situ measurements of cloud microphysical properties, the vertical structure of the boundary layer and aerosol properties, and the fluxes of solar and infra red radiation above, below, and within cloud.

In-situ airborne observations by the FAAM BAE-146 aircraft for GERBIL - GERB Intercomparison of Longwave Radiation.