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From 1 - 10 / 1867
  • This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The 16 mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature was measured every 5 minutes and an hourly average was calculated. Air temperature was measured by a weather station within the mesocosm compound. The experiment aimed to investigate different N:P nutrient ratios and water temperature was measured as this is an important factor needed to understand the results.

  • [This dataset is embargoed until December 15, 2025]. This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil. Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators. Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America. Full details about this dataset can be found at https://doi.org/10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2

  • [This dataset is embargoed until October 31, 2024]. This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%). The model outputs can be used to predict the best places to locate surveillance technologies (i.e., girdled trees or traps) and included in this dataset are optimised trap locations for 27 scenarios (three trapping types for each of the nine different scenarios).

  • Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente-Serrano et al. [2]. SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718. https://doi.org/10.1175/2009JCLI2909.1 Full details about this dataset can be found at https://doi.org/10.5285/19c230b2-415b-456a-9e93-7b00b730a465

  • This data provides the results of a survey of the water quality of small streams draining forested and felled catchments across Wales. The water quality measurements are extensive, including analysis of major, minor, trace and ultra-trace elements together with nutrient and standard water quality measures such as pH and Gran alkalinity. Opportunistic sampling was undertaken with the aid for Forest Enterprise staff to sample sites at periods of both dry and very wet weather in order to assess the water quality under baseflow and stormflow conditions, respectively, to assess groundwater and soil endmember chemistries. The work was undertaken as part of a joint NERC, Environment Agency and Forestry Commission funded study to examine the impacts of conifer harvesting and replanting on upland water quality (Neal et al., 1998). Small catchment sites (2 to 5 ha) were chosen single tree and soil type at each location. Across the sites, the number of samplings varied between 1 and 10 depending upon feasibility of sampling. The monitoring period was from the 7th September 1995 up to the 18th November 1997.The scope and range of the Welsh survey work together with the findings are provided by Neal et al., 1998. Full details about this dataset can be found at https://doi.org/10.5285/6361c484-42bd-4e0c-874f-ef22dc55129f

  • Data comprise radionuclide deposition, radioactivity dose measurements, radioactive particle activity and physical characteristic information from soil samples collected within and around the Chernobyl Exclusion Zone (CEZ) following the Chernobyl nuclear accident in 1986. Data include radiocaesium, radiostrontium and soil chemistry parameters from soils collected in 1997, plutonium isotope measurements in soil samples and soil layers collected in 2000 and 2001, 'Hot particle' dataset presenting radionuclide activity and some physical characteristics of 'hot particles' extracted from soils collected in the Ukraine and Poland between 1995 and 1997; and Ivankov region data (radionuclide activity concentrations and natural background dose measurements) from a survey of the Ivankov region, immediately to the south of the CEZ conducted in 2014. Funding for preparing this data set was provided by the EU COMET project (http://www.radioecology-exchange.org/content/comet) and TREE (http://www.ceh.ac.uk/tree) project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf

  • This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Sections are spatially consistent with Groups: each Group is made up of one or more Section. Each Section is associated with one Catchment representing the full area upstream from the Section outlet. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/a6e37e39-9e10-4647-a110-12d902403095

  • The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected between November 2016 and July 2018. Samples were collected and microbiologically analysed in the laboratory within 6 to 8 hours. Two cohorts of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Each cohort covering the period that cattle enter the farm platform, i.e. from weaning until slaughter ca. 16 – 20 months. Full details about this dataset can be found at https://doi.org/10.5285/ec83a4ea-923a-4f02-8a9f-aeecc43d7123

  • This dataset consists of macrophyte species records, sampled from headwater streams during a survey in 2007. Stream macrophytes in Countryside Survey are surveyed using the standard MTR (Mean Trophic Rank) protocol, which records the presence and extent (on a categorical scale) of macrophytes in a 100m reach. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/249a90ec-238b-4038-a706-6633c3690d20

  • Temperatures recorded 5cm above the forest floor in a gridded design (1 to 13m distance) within three, 1 hectare forest plots in Sabah, Borneo. The dataset also includes air temperature data from a nearby weather station at the same temporal resolution, and spatially-interpolated measurements of topography and canopy structure in each forest plot at a 1m resolution. iButton temperature measurement 5cm above the forest floor in gridded design (1-13m distance) within three 1-ha forest plots in Sabah, Borneo. Measurements were taken at 20 minute intervals over one continuous month (November 2015). Dataset also includes nearby weather station air temperature data at identical temporal resolution, as well as spatially-interpolated (1-m) measurements of topography and canopy structure in each forest plot. Output of BALI project (NERC funded Human-modified Tropical Forest Programme). Full details about this dataset can be found at https://doi.org/10.5285/17501db1-7a2b-4f4b-8965-f309d2d1c557