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environment

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  • The datasets contain Interferometric Synthetic Aperture Radar (InSAR) measurements carried out over Caithness and Sutherland in order to measure peatland surface motion over the Flow Country using the Advanced Pixel System Intermittent Small Baseline Subset InSAR technique (APSIS InSAR). The data covers surface motion across all landcover types within the survey area. It includes timeseries of peat surface height and long term mean motion over the survey period. Data was collected on a 6-12 day basis from 12/3/2015-7/7/2019. Missing pixels are associated with low coherence and are excluded. Missing survey dates are associated with processing issues or poor coherence. Data processing was carried out by Terra Motion Ltd. Full details about this dataset can be found at https://doi.org/10.5285/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7

  • Data are presented from an ozone exposure experiment performed on five African crops. The crops (Beans, cowpea, finger millet, pearl millet and wheat) were exposed to three different levels of ozone in the UK CEH Bangor solardomes. Wheat was grown at UK ambient temperature, whereas the solardomes were heated for the other crops to better mimic tropical conditions. The experiment ran from May 2017 to September 2017. The crop plants were grown from seed in pots in solardomes. The aim of the experiment was to investigate the impact of ozone exposure on the crop yield and plant health. The dataset comprises of manually collected data on plant physiology, biomass and yield. In addition the automatically logged data of ozone concentration and meteorological variables in the solardomes are presented. Plant physiology data is stomatal conductance of individual leaves, measured on an ad-hoc basis. The dataset includes the associated data measured by the equipment (relative humidity, leaf temperature, photosynthetically active radiation). Soil moisture of the pots was always measured at the same time, and chlorophyll content of the measured leaf was usually, but not always, determined at the same time. Yield was determined for each plant, in addition to yield-related metrics including mass per bean and 100 grain weight. For finger millet and pearl millet yield is expressed as weight of seed heads and number of seed heads, rather than explicitly as seed weight. The ozone and meteorological dataset is complete, but with some gap-filling for short periods when the computer was not logging data. The work was carried out as part of the NERC funded SUNRISE project (NE/R000131/1). Full details about this dataset can be found at https://doi.org/10.5285/f38beff1-993f-4785-8a97-1de21e3e19c0

  • The dataset describes the data needed for and results produced by the flood risk assessment framework under different development strategies of Luanhe river basin under a changing climate. The Luanhe river basin is located in the northeast of the North China Plain (115°30′ E-119°45′ E, 39°10′ N-42°40′ N) of China, is an essential socio-economic zone on its own in North-Eastern China, and also directly contributes to and influences the socio-economic development of the Beijing-Tianjin-Hebei region. The dataset here used for investigating the flood risk includes (1) uplifts of future climate scenarios to 2030 (2) the validation results of a historical event that happened in 2012; (3) the flood inundation prediction under different development strategies and climate scenarios to 2030; (4) and the spatial resident density map in Luanhe river basin to 2030. Wherein, the uplifts of the future climate change is generated based on the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset and will be applied to the future design rainfall to represent the future climate scenarios; a 2012 event is select to validate the flood model, and the remote sensing data is adopted as real-world observation data; considering the uplifts and future land use data as input, the validated flood model is applied to produce flood inundation prediction under different development strategies and climate scenarios to 2030; and the inundation results are used to overlay the Gridded Population of the World, Version 4 (GPWv4) and then calculate the flood risk map of the local resident. These data are mainly open data or produced by authors. With all these data, the flood risk of the Luanhe river basin in the near future (2030) can be assessed. Full details about this dataset can be found at https://doi.org/10.5285/82055942-386a-4a8b-b2a1-0c3eea12b168

  • This dataset compares historic grassland survey data with contemporary spatial data of habitats in England. The National Vegetation Classification (NVC) community and grassland type were determined for 848 quadrats surveyed at grassland sites in England between 1960 and 1981. A 100m buffer was generated around each individual quadrat which matched the spatial accuracy (±100m) of the quadrat location, to represent a grassland site. These sites were intersected with Natural England's Priority Habitats Inventory in ArcGIS, to indicate the percentage cover of priority habitats found at the grassland sites in 2013. This dataset supersedes the previous version. Full details about this dataset can be found at https://doi.org/10.5285/a75b9569-948a-4bb2-97a5-6863717881c8

  • This dataset contains discharge and surface water chemistry for the six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Manual measurements of discharge by the velocity-area method enabled construction of a stage-discharge relationship for each site. Stream stage was measured using pressure transducers from Summer 2013 to Summer 2015. River water samples were collected at 48-hr intervals from Summer 2013 to Summer 2014 and samples were analysed for selected solutes and suspended sediment. Full details about this dataset can be found at https://doi.org/10.5285/0dd10858-7b96-41f1-8db5-e7b4c4168af5

  • This dataset consists of ammonia (NH3) measurements at three sites on Fenn’s, Whixall, Bettisfield, Wem and Cadney Mosses SSSI on the border of Wrexham County Borough (North Wales) and Shropshire (West Midlands). The ammonia measurements are taken from a set of ALPHA (R) (Adapted Low-cost Passive High Absorption) samplers from July to December in the year 2018. The sites were established in order to monitor ammonia during implementation of Site Nitrogen Action Plan (SNAP), as part of the Marches Mosses BogLIFE project. This project aims to restore Britain's third largest lowland raised bog within the Fenn’s, Whixall & Bettisfield Mosses and Wem Moss National Nature Reserves near Whitchurch, Shropshire and Wrexham in Wales. Full details about this dataset can be found at https://doi.org/10.5285/c6145da7-ec61-49ae-a050-f5c5acd6cf9e

  • [This dataset is embargoed until December 12, 2021]. This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside in the hall and the other is outside in the garden area . The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from January 2017 to November 2018. Samplers are exposed in monthly cycles at the beginning of each month. Full details about this dataset can be found at https://doi.org/10.5285/dd7099e9-4aad-4e02-b31b-512f20628cf6

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains vegetation survey data from an upland heath site in the Clocaenog Forest. Vegetation was surveyed in the experimental plots at the Climoor site in 1998, 1999, 2000, 2002, 2003, 2007, 2008, 2009, 2010, 2011 and 2012. The vegetation at the site is a typical UK upland heathland, dominated by Calluna vulgaris, with Vaccinium myrtillus and Empetrum nigrum also being present in the vegetation understory. In each year, measurements were taken at a time period of maximum growth, which was late August/early September. This was done by pin point methodology, and data includes both pin hits as well as measurements converted into plant biomass. Individual species can be examined, as well as the different components of the higher plants (i.e. leaf, stem, flower). Full details about this dataset can be found at https://doi.org/10.5285/143e1a69-d4d7-4ae0-9650-6ffad9fd75b2

  • This dataset consists of hourly air temperature and wind speed data from a meteorological station sited on top of a boat house, located in Cumbria, England, next to Esthwaite Water. Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/40f5f2b4-4ebd-4dcd-8b45-3b6a46251161

  • This dataset includes data collected during two related experiments measuring nitrogen (N), phosphorus (P) in roots and shoots. The measurements enable functional studies of natural communities of arbuscular mycorrhizal (AM) mycelia in soil. The experiment was carried out at the University of Sheffield using soil from the NERC Soil Biodiversity site at Sourhope in Scotland. The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/88515edc-bea4-4713-b518-d91d8bfcc03b