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Biota

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  • Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College. The work was funded by a BBSRC studentship, NERC ( grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) and The Royal Society (RG 110401) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/1ed2ab55-0688-4513-be9a-f9f0f21d2788

  • This dataset includes measurements of soil respiration 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 January 2015 until November 2017. 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/e5f361b3-b434-4d11-9407-e5f48fe442b0

  • Records for herbaceous and woody plants at 78 nested quadrats on a limestone mountain (Jebel Ichkeul) in Le Parc National de L’Ichkeul are presented. Data for plants represent percent cover (Braun-Blanquet scale), to identify environmental gradients and investigate phytosociology of plant communities. Environmental variables are also presented: altitude, slope, aspect, rock out cropping, index of grazing intensity (78 sites) and olive tree densities by size class (69 sites). Soil pH was collected for 50 sites. Plant surveys were done June to August 1983 by Dr. D.A. Kirk as part of his Master’s thesis degree in Conservation at University College London (1983). This work was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/4e36cdfa-0281-423f-99a8-e7c331b2e0d1

  • Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of low (plus or minus 4 °C) and high (plus or minus 8 °C) amplitude (average temperatures of 12, 16, 20 °C and 16 °C respectively) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7

  • Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to grassy vegetation, deciduous trees and bacteria; no dose rate estimates for grassy vegetation have been made for those sites where grassy vegetation was absent. Radiation from the 1986 Chernobyl nuclear power plant accident killed coniferous trees in a 4-6 km2 area of forest to the west of the power plant. This area is now known as the 'Red Forest’ and it has subsequently regenerated with understorey vegetation and deciduous trees; it is the most anthropogenically contaminated radioactive ecosystem on Earth. In July 2016 a severe fire burnt (to varying degrees) c. 80 percent of the Red Forest; this presented a unique opportunity to study the impact of radiation on the recovery of forest ecosystems exposed to a secondary stressor (fire). To investigate this, in September 2017 the RED FIRE project set up sixty study plots in the Red Forest (in burnt and unburnt areas) with a further nine plots established close to Buriakivka village (approximately 8 km from the Red Forest). Vegetation samples from each plot were harvested using shears in September 2017. Each sample was sorted into ‘grassy’ and ‘other’ vegetation; these were air-dried (20-25 degrees Celsius) and the grassy vegetation samples homogenised prior to radionuclide analyses. Soil core samples collected in September 2017 were bulked, homogenised and sub-samples taken for determination of pH and percentage moisture determined by oven drying (approximately 60 degrees Celsius) to a constant mass. The remaining soil sample was used for the determination of radionuclide activity concentrations; prior to analyses, these samples were dried at approximately 80 degrees Celsius. This work was funded by the NERC, Grant Ref: NE/P015212/1 (RED FIRE: Radioactive Environment Damaged by fire: a Forest In Recovery) Full details about this dataset can be found at https://doi.org/10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674

  • This dataset measures the decomposition of experimental wood blocks, Pinus radiata, over a period of one year in lowland, old growth, tropical rainforest. Wood blocks are placed on the ground or suspended above the ground in mesh bags that either allow or prevent entry of macro-invertebrates. The decomposition of ground placed wood blocks is measured during a period of drought and non-drought. Dry weight of wood blocks is measured at the start and end of the year and proportional weight loss is calculated. Accompanying decomposition data is a data set measuring temperature and relative humidity at 5 m vertical intervals from the ground to the canopy. This data is a contribution from the UK NERC-funded Biodiversity And Land-use Impacts on Tropical Ecosystem Function (BALI) consortium (http://bali.hmtf.info). Full details about this dataset can be found at https://doi.org/10.5285/01034680-e640-44a2-aab6-2044b4672a95

  • Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C. Full details about this dataset can be found at https://doi.org/10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9

  • [This nonGeographicDataset is embargoed until May 1, 2025]. These data describe individual behaviour during an experiment investigating chick responses to different trait combinations in 3D-printed insect replicas. Replicas were based on various combinations of shape, pattern, colour and size traits taken from either non-mimetic flies (Tachina fera) or wasps (Vespula vulgaris). Data describe chick progress through several phases: - A grouped phase where chicks became familiar with foraging within the experimental arena - A training phase, during which they open lids of small dishes and consume mealworms, - A learning phase, where the chicks learned to associate fly stimuli with a reward and wasp stimuli with no reward - A testing phase, in which they were presented with single stimuli at a time and we recorded the time taken to approach and attack the stimulus. Also included are chick growth curves (daily weights in g) for the period of the experiment. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/45391184-603e-4284-bb3c-9c8c6bf856ab

  • This dataset contains tree species and associated measurements from an initial survey of 8 x 1 ha Permanent Sample Plots (PSP) and 2 x 1 ha biomass measurement plots established on the Eastern Plateau of Gorongosa National Park, Sofala, Mozambique, with intention of assessing the long-term impacts of tropical cyclone damage on woodland structure. Methodology used was in accordance with specifications of the Socio Ecological Observatory for Southern African Woodlands (SEOSAW) plot protocol. PSPs were established between 1st August 2019 to 1st October 2019. PSP establishment was undertaken by University of Edinburgh in collaboration with Eduardo Mondlane University and the Mozambique Institute of Agricultural Research (IIAM) with assistance of Gorongosa National Park Scientific Services Department. Full details about this dataset can be found at https://doi.org/10.5285/8ecabd05-9ad6-4e4a-861c-dd767aba57a0

  • This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK. Cristatella mucedo data additionally covers Northern Ireland. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc