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The dataset consists of temperature, salinity and sea surface height data generated from a 40 year run of the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format. The data are supplied as a gridded dataset covering the entire northwest European continental shelf and extending out into the Atlantic Ocean. The grid resolution varies from 7.8 km to 14.2 km along the longitudinal axis and is at 12.3 km on the latitudinal axis. The model contains 40 depth layers. The model run was from 01 January 1964 to 31 December 2004 and the generated data were averaged over a 25 hour tidal cycle to create daily mean values. The data were generated from the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model. The model simulations were run on the HECTOR supercomputer managed by the University of Edinburgh. The dataset was generated to look at multi-decadal variability and trends in temperature of the northwest European continental shelf. The data were generated by the National Oceanography Centre (NOC) Liverpool as part of Natural Environment Research Council (NERC) National Capability (NC) funding.
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This dataset comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during September - October 1986. It incorporates deep CTD profiles over the Madeira Abyssal Plain in the northeast Atlantic Ocean. The data were collected by the Institute of Oceanographic Sciences Wormley Laboratory.
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The dataset comprises 29 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, within the North East Atlantic Ocean area. It incorporates the Ellett Line stations east of the Anton Dohrn Seamount, plus further shelf sections from Loch Moidart past Oigh Sgeir and at right angles into Loch Bracadale, Skye. The data were collected during April of 1981. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Scottish Marine Biological Association.
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This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2022. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/6dd7ac13-c3e3-4156-a0d8-929227dbf9e8
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This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics observations made at each site. Eddy covariance (EC) and micrometeorological observations were collected using open-path eddy covariance systems. Flux, meteorological and soil physics observations were collected and processed using harmonised protocols across all sites. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96
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This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/a55eea77-8401-49ba-921e-53e085dc8345
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The dataset comprises 19 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the North Sea area specifically the Firth of Forth including the Wee Bankie and Marr Bank, during June of 1998. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Fisheries Research Services Aberdeen Marine Laboratory.
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This dataset comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during January 1993. It incorporates a CTD survey of the waters within 20 miles of the UK east coast from the Tees to the Thames including stations in the Humber Estuary, Humber Plume and the Wash. The data were collected by the Ministry of Agriculture, Fisheries and Food Lowestoft Fisheries Laboratory as part of the Joint Nutrient Study I (JoNuS).
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This dataset contains calculated terrestrial fluxes of methane using static chambers from Stordalen mire, a subarctic peatland (68°20’ N, 19°03’ E) located near Abisko, Northern Sweden . Measurements were carried out during growing season 2013 in three measurement campaigns: 16-27 June (number of sampling occasions, n, = 4), 11-22 August (n=5) and 16-29 September (n=5 for wetland and 4 for birch forest). A total of 60 static chambers were measured, 14 within the birch forest and 46 within the wetland. In addition to fluxes auxiliary measurements such as air and soil temperature, soil moisture and soil nutrients were taken and the vegetation composition was recorded. The data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, http://arp.arctic.ac.uk/projects/) funded by the UK Natural Environment Research Council (grant NE/I029293/1). Full details about this dataset can be found at https://doi.org/10.5285/0dc1cdab-0f4f-4564-a863-a4b43335a5d7
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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 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 2022 to December 2022. Samplers are exposed in monthly cycles at the beginning of each month. Full details about this dataset can be found at https://doi.org/10.5285/122e87db-7269-4d6a-bc99-9a826fda3885