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  • This dataset contains ionic data within PM2.5 measurements made during the Pre- Monsoon (28/05/2018 08:30:00 - 05/06/2018 17:30:00) and Post-Monsoon periods (09/10/2018 14:54:00 - 0 6/11/2018 10:35:00) of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Measurements were conducted by the University of York High Volume Sampler (Ecotech 3000, Australia) and University of York Dionex ICS-1100 Ion Chromatography System. The data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.

  • This dataset contains direct infusion ultra-high resolution mass spectrometry measurements made at the Institute of Atmospheric Physics land station, Beijing (IAP-Beijing) site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. Daily quartz microfiber filters were collected with a Tisch high volume sampler. The extracted organic fraction of the collected PM2.5 particles was analysed using an LTQ Orbitrap Velos mass spectrometer with electrospray ionisation to obtain high resolution mass spectra which enable the assignment of molecular formulae to the detected masses. For both seasons, 10 filters were analysed, containing the 5 filters with the highest and lowest mass loadings for each season. The files names are labeled according to the ID of the analysed filter. All dates and times are given in Beijing local time.

  • This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentrations of water-soluble Silicon/water-soluble organic Silicon/water-soluble inorganic Silicon found in the PM2.5 samples resulting from analysis by Ultraviolet-Visible Spectrophotometry. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. The data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution. These data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.

  • This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of specific ions found in the PM2.5 samples resulting from the analysis by Ion Chromatography. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. The data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution. These data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.

  • This dataset contains PM2.5 and meteorology measurements taken from Temuco and Padre Las Casas, Chile from June 2017 to July 2018. This data was collected for the NERC funded project Impact of Wood Burning Air Pollution on Preeclampsia and other Pregnancy Outcomes in Temuco which aimed to determine whether exposure to air pollutants (specifically PM2.5 and wood burning tracer) have an impact on preeclampsia and other pregnancy outcomes (low birth weight, birth weight, small of gestational age, preterm birth). The purpose of this data is to predict the spatio-temporal PM2.5 concentrations and wood tracers using land use regression models. The campaign included sampling at 40 fixed sites in parallel with sampling at a central site located at a government monitoring station to control for background levels. Sites tried to maximize the spatial distribution of likely predictors such as number of residential dwellings, number of wood-stoves, PM2.5 concentrations and traffic impact. Two-weeks PM2.5 samples were collected at each site and repeated in 4 sessions covering a whole year. Samples were analyzed for mass and the wood-burning tracers levoglucosan and soluble potassium.

  • This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of elements found in the PM2.5 samples resulting from X-ray Fluorescence Spectrometer (XRF) analysis. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. The data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution. These data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.

  • This dataset contains atmospheric ion concentrations in PM2.5 particles made at the Institute of Atmospheric Physics land station, IAP-Beijing, site using a High Volume Sampler (Ecotech 3000, Australia) and a Dionex ICS-1100 Ion Chromatography System, during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.

  • This dataset contains chemical composition measurements of PM2.5 particles made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. Daily fine particles were collected on the PTFE (Polytetrafluoroethylene) filters using the Partisol samplers. The filters were then analysed for metals using X-ray fluorescence (XRF) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), and for ion species using Ion Chromatography. Quartz filters were collected by Tisch high vol, samplers and then were analysed for organic and elemental carbons using the DRI Model 2015 Multiwavelength Thermal/Optical Carbon Analyser, and organic tracers using Gas chromatography–mass spectrometry (GC-MS).

  • This dataset contains air quality measurements: atmospheric ozone, NOx and particulate matter, for the Kirby Misperton site. British Geological Survey (BGS), the universities of Birmingham, Bristol, Liverpool, Manchester and York and partners from Public Health England (PHE) and the Department for Business, Energy and Industrial Strategy (BEIS), are conducting an independent environmental baseline monitoring programme near Kirby Misperton, North Yorkshire and Little Plumpton, Lancashire. These are areas where planning permission has been granted for hydraulic fracturing. The monitoring allows the characterisation of the environmental baseline before any hydraulic fracturing and gas exploration or production takes place in the event that planning permission is granted. The investigations are independent of any monitoring carried out by the industry or the regulators, and information collected from the programme will be made freely available to the public. ----------------------------------------------------------------------------------------------- If you use these data, please note the requirement to acknowledge use. Use of data and information from the project: "Science-based environmental baseline monitoring associated with shale gas development in the Vale of Pickering, Yorkshire (including supplementary air quality monitoring in Lancashire)", led by the British Geological Survey Permission for reproduction of data accessed from the CEDA website is granted subject to inclusion of the following acknowledgement: "These data were produced by the Universities of Manchester and York (National Centre for Atmospheric Science) in a collaboration with the British Geological Survey and partners from the Universities of Birmingham, Bristol and Liverpool and Public Health England, undertaking a project grant-funded by the Department for Energy & Climate Change (DECC), 2015-2016. " ----------------------------------------------------------------------------------------------------------

  • This dataset contains air quality measurements: atmospheric ozone, NOx and particulate matter, for the Little Plumpton site. British Geological Survey (BGS), the universities of Birmingham, Bristol, Liverpool, Manchester and York and partners from Public Health England (PHE) and the Department for Business, Energy and Industrial Strategy (BEIS), are conducting an independent environmental baseline monitoring programme near Kirby Misperton, North Yorkshire and Little Plumpton, Lancashire. These are areas where planning permission has been granted for hydraulic fracturing. The monitoring allows the characterisation of the environmental baseline before any hydraulic fracturing and gas exploration or production takes place in the event that planning permission is granted. The investigations are independent of any monitoring carried out by the industry or the regulators, and information collected from the programme will be made freely available to the public. ----------------------------------------------------------------------------------------------- If you use these data, please note the requirement to acknowledge use. Use of data and information from the project: "Science-based environmental baseline monitoring associated with shale gas development in the Vale of Pickering, Yorkshire (including supplementary air quality monitoring in Lancashire)", led by the British Geological Survey Permission for reproduction of data accessed from the CEDA website is granted subject to inclusion of the following acknowledgement: "These data were produced by the Universities of Manchester and York (National Centre for Atmospheric Science) in a collaboration with the British Geological Survey and partners from the Universities of Birmingham, Bristol and Liverpool and Public Health England, undertaking a project grant-funded by the Department for Energy & Climate Change (DECC), 2015-2016. " ----------------------------------------------------------------------------------------------------------