2018
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General soil chemical, physical and microbial properties are presented for soil samples at six depths collected from a field experiment in the Conwy catchment. Samples were collected in May 2015. Core samples were taken along three transects by trained members of staff the Centre for Ecology & Hydrology and Bangor University. General soil chemical, physical and microbial properties were measured at six depths by trained members of staff, using recognised procedures at the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. The samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil properties. The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/f7b2beaa-08cf-48db-9b07-c55118d11506
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This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best worst scaling (BWS) to understand people's perceptions to certain risks. In this study sixteen risks were included in the BWS including four air-, food- and waterborne illnesses and twelve other hazards. The BWS was run in two blocks to consider two factors: first the respondents selected which risk they fear the most/least and in the second block they selected the risk they believed they had the most/least control. The survey also contained a detailed questionnaire on the participants eating habits and health status. Participants were also asked about their knowledge on enteric pathogens and whether they have ever sought or would consider seeking advice on the symptoms. Respondents were also asked whether they have experienced the hazards described in the BWS and whether they have done anything to reduce the risks in their life. The data were collected to gather information on people perceptions on environment-associated risks. This was done to understand the common knowledge on environment-associated pollutants and enlighten issues regarding risk management and mitigation. The data were collected as part of the VIRAQUA project was funded by the Natural Environment Research Council (NERC) under the Environmental Microbiology and Human Health (EMHH) Programme (NE/M010996/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/0869d961-99ca-4946-9192-f35afccdda38
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The Geostationary Earth Radiation Budget (GERB-2) Level 2 High Resolution (L2HR) dataset contains accurate measurements of the Earth Radiation Budget. Broadband measurements of earth-leaving radiances are made from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at a time resolution of 15 minutes for the region 60E to 60W, 60N to 60S and area are ideal for studying fast variations in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. Time and pixel centres matched with METEOSAT imager SEVIRI. The level 2 HR (High Resolution) data are resolution enhanced snapshots of the top of atmosphere radiances and fluxes every 15 minutes. They are provided at the product acquisition time of the METEOSAT narrowband SEVIRI imager on a fixed equal viewing angle grid matched to 3x3 SEVIRI pixel grid-boxes. This gives the HR product a temporal resolution of 15 minutes and a grid spacing of 9 km at the sub-satellite point. The time in the product name is the same as the SEVIRI product name time. Instantaneous accuracy at the HR scale is expected to be lower than for the lower spatial resolution GERB products as additional noise is introduced by the resolution enhancement, particularly for very inhomogeneous scenes and extreme angles. However, the HR product is recommended as the basis for users wishing to create custom averages over time and space and its production ensures that after appropriate averaging its accuracy is commensurate with the other GERB products The GERB instrument was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and covers the period March 2004 to May 2007. Users must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.
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Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project.
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The CH4_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's (ESA's) environmental research satellite ENVISAT, as part of the ESA's Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the data is version 4.0, and forms part of the Climate Research Data Package 4. The Weighting Function Modified DOAS (WFMD) algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. A second product is also available, which has been generated from the SCIAMACHY data using the IMAP algorithm. The data product is stored per day in separate NetCDF-files (NetCDF-4 classic model). The product files contain the key products and other information relevant for the use of the data e.g. the averaging kernels. Note that the results since November 2005 are considered to be of reduced quality in comparison to the earlier results because the extended-wavelength part (1590-1770 nm) of SCIAMACHY's channel 6, covering the methane 2v3 absorption band used for the methane retrieval, is subject to irreversible displacement damage induced by high energy solar protons, which occurs from time to time at individual detector pixels. Therefore several affected detector pixels had to be excluded for the time period since November 2005. For further information on the product, including details of the WFMD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents.
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This dataset contains measurements of formaldehyde using laser induced fluorescence (LIF) made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter and summer campaigns for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. Formaldehyde concentration measurements in pptv were made using the Leeds Formaldehyde instrument which uses off-resonance laser induced fluorescence at 353 nm to detect ambient formaldehyde. The instrument was calibrated at regular intervals during the campaign using a commercial permatube containing paraformaldehyde.
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Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. The set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres. This data set provides information on changes in climate across the entire globe from 1900 to 2100 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. This dataset contains regional averages for 16 administrative regions across the UK.
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Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Measurements of Arctic Clouds, Snow, and Sea Ice nearby the Marginal Ice ZonE (MACSSIMIZE) project.
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This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. The data represents anomalies with respect to the baseline period 1981-2000, and cover the period 1 Dec 1960 to 30 Nov 2099. Data for 16 administrative regions in the UK is provided. The Probabilistic Projections were updated on 4th August 2022, to make improvements to the methodology to improve: consistency between maximum, minimum and mean temperature; consistency in the downscaling; statistical treatment of precipitation particularly at the wet and dry extremes; representation of annual and decadal variability; and adjustment of the data in the 1981-2000 baseline period to ensure the anomalies average to zero. The combination of the improvements means that all variables are modified to some degree. For more information, please refer to the UKCP news article and the documents it links to.
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This dataset contains winter (October-March) extra-tropical cyclone tracks generated by TRACK (Hodges 1994, 1995, 1999) that pass through a Western European domain from the ERA-20C (1900-2010). The tracks were filtered to retain those that travelled 1000km and lasted 2 days. Fields referenced to the tracks are: mean sea-level pressure (min within 5 degrees), 925hPa windspeed (max within 6 degrees), precipitation (max within 5 degrees), 700hPa vertical velocity (min within 5 degrees), 925hPa land-windspeed (max within 6 degrees), precipitation (area average over 5 degrees). This data was collected as part of Robust Spatial Projections for the Real World (Real Projections) NERC (Natural Environment Research Council) NE/N018486/1. For files with the naming convention: [Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip.new_1000km2dayfiltered[_RealProjregion2filtered_maxlandwindsinregion].txt The track files contain a 5 line header. The information in the body of the file gives: 1. Date and time (YYYYMMDDHH). 2. Longitude of relative vorticity maximum (degrees). 3. Latitude of relative vorticity maximum (degrees). 4. Relative vorticty at T42 resolution (x10-5 s-1). 5. Longitude of associated MSLP minimum (degrees). 6. Latitude of associated MSLP minimum (degrees). 7. MSLP minimum (hPa). 8. Longitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees). 9. Latitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees). 10. 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (ms-1). 11. Longitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 12. Latitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 13. Precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1) 14. Longitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees) 15. Latitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees) 16. 700hPa vertical velocity minimum within a 5 degree radius of vorticity maximum (ms-1) 17. Longitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees). 18. Latitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees). 19. 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (ms-1). 20. Precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1) The [_RealProjregion2filtered_maxlandwindsinregion] refers to data that has been filtered to those storms that have their maximum 925hPa windspeed over land in the region. The add[field] refers to which field, and the order, in which the meteorological fields have been referenced to the vorticity centres. For files with the naming convention: [Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip_addmax5cmorph_addavg5cmorph.new_1000km2dayfiltered_RealProjregion2filtered_maxlandwindsinregion.txt (i.e. these include two additional fields for a smaller temporal range) The same track information as above in included, plus: 21. Longitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 22. Latitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 23. CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1) 24. CMORPH precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)