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10 urn:ogc:def:uom:EPSG::9001

43 record(s)

 

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From 1 - 10 / 43
  • Data were collected in 2015, 2016 and 2017 to provide information on the distribution of flow depth and depth-averaged flow velocity at cross-sections on the South Saskatchewan River, Canada. Data were obtained using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted onto either a small zodiac boat or a SonTek Hydroboard. Data for each cross-section is recorded in a single file. Individual points within each file represent single locations on the particular cross-section. Data were collected as part of NERC project NE/L00738X/1. Full details about this dataset can be found at https://doi.org/10.5285/e4fe2ebe-b207-47d5-8c77-9873afc63da9

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2017. These data are from 46 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and radiation data which are used to derive potential evapotranspiration at a daily resolution. 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/a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5

  • This dataset contains pH, turbidity, conductivity and viral concentration information in river and estuarine water, wastewater, sediment and mussel samples collected in the Conwy River and estuary. The aim of data collection was to monitor wastewater contamination in the freshwater-marine continuum. Samples were collected by trained members of staff from Bangor University at four weekly between March 2016 and August 2017. Treated and untreated wastewater samples were collected at four wastewater treatment plants along the Conwy River. Surface water samples were collected at four sites, sediments at three sites and mussels at two sites. 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 dataset can be found at https://doi.org/10.5285/5d19f6e2-1383-41ed-92d2-138d95bf4c72

  • This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and diatom assemblages. The sediment trap data cover the period from October 2004 to January 2017, while the thermal profiles cover October 2005 to December 2016. Diatom data is presented with date, percentage taxa abundance and diatom fluxes based on total sediment yield. Temperature profiles are presented as mean daily figures. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with the temperature data funded by the UKLEON (UK Lake Ecological Observatory Network) project via a NERC small grant [grant number NE/I007261/1]. Full details about this dataset can be found at https://doi.org/10.5285/16f52064-a19d-4cf5-a388-aff04a592179

  • Data showing groundwater temperature and levels from bore holes are presented. The data were collected from a field experiment in the Conwy catchment between December 2013 and June 2015. Data were recorded by pressure transducers installed in the bore holes. The data were collected by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The samples were taken to estimate the hydraulic pathways and velocities through an experimental hillslope. 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/10.5285/6c58038e-f035-4ab5-8518-1f189eae3bf2

  • [This dataset is embargoed until January 24, 2021]. This dataset includes measurements of stem radial growth in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from December 2014 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/c8bc6982-d4de-4e6f-aadb-08aac877b263

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture monitoring network) from the start of the network, in October 2013, to the end of 2016. These data are from 42 sites active across UK during this time, recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and net radiation data which are used to derive potential evapotranspiration at a daily resolution. Full details about this dataset can be found at https://doi.org/10.5285/02e54a4e-c421-4222-a08b-3708a00495e3

  • The dataset contains carbon dioxide and methane emissions, as well as resorufin production (as a proxy for microbial metabolic activity) and dissolved oxygen concentrations, resulting from laboratory incubation experiments of streambed sediments. The sediments were collected from the upper 10 centimetres of the streambed in the River Tern and the River Lambourn in September 2015, with three samples collected from each river. These samples were collected from three areas: silt-dominated sediment underneath vegetation (fine), sand-dominated sediment from unvegetated zones (medium) and gravel-dominated sediment from unvegetated zones (coarse). The sediment was used in laboratory incubation experiments to determine the effect of temperature, organic matter content, substrate type and geological origin on streambed microbial metabolic activity, and carbon dioxide and methane production. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD (NERC award number 1602135). The work was also part funded through the Seventh Framework Programme (EU grant number 607150). Full details about this dataset can be found at https://doi.org/10.5285/3a0a5132-797c-4ed5-98b9-1c17eaa2f2b7

  • Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a high molecular weight substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Soil cores were collected from a field experiment in the Conwy catchment in July 2016 and returned the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. A high molecular weight substrate was added as a carbon source to the samples and the rate of 14C-substrate mineralization measured. All the work was carried out by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The measurements were taken to improve understanding of the relationship between microbial activity and soil properties and depth of sampling, under differing nutrient availability. 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/10.5285/4a8fedf4-a572-4d95-ac41-087974169af1

  • This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the English counties of Leicestershire, Rutland and Northamptonshire with predominantly agricultural land use. Full details about this dataset can be found at https://doi.org/10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af