Keyword

Biota

1450 record(s)
 
Type of resources
Available actions
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
Scale
Resolution
From 1 - 10 / 1450
  • This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. These data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1). Full details about this dataset can be found at https://doi.org/10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42

  • This dataset describes the seed dispersal process of both invaded (presence of Linepithema humile) and non-invaded (absence of L. humile) ant communities. Data were collected from Jonkershoek Nature Reserve (33°55'51"S, 18°51'16"E) in South Africa, during the summer months of 2014 (November-December), 2015 (January-February), and 2017 (January-February). - Experiment 1: Ant community structure of both invaded and non-invaded ant communities was determined using a series of pitfall and baiting traps. - Experiment 2: Ant communities were presented with seeds (from twelve plant species) via a cafeteria setup and the rate of removal was measured over three hours. - Experiment 3: Seeds were presented to nests of both the invasive L. humile and six native ant species, after 24 hours nests were cast with dental plaster and excavated. The seeds were retrieved, and their burial depths were recorded. Data were collected from all three experiments to test hypothesis about the dispersal ability of the dominant seed dispersing ant species in both invaded and non-invaded ant communities. Funding was received from a NERC-Case studentship (NE/K007076/1) and Varley-Gradwell Travelling Fellowship. Full details about this dataset can be found at https://doi.org/10.5285/ecd04881-fd86-45e2-99e1-f0ec61324329

  • This is a dataset on mortality costs and reproductive success from intergroup conflict in banded mongooses, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2000-2019. We observed naturally occurring, aggressive interactions between social groups and recorded data on individual mortality occurring during and as a result of fighting. We used long term observations of reproductive events to determine individual reproductive success, measured as the total number of offspring assigned to each individual over the lifetime, and the number of offspring born to each individual from extra-group mating. We recorded data on oestrus events in social groups to determine when focal and rival groups were in oestrus simultaneously, and whether they were involved in an intergroup interaction with each other. These data were collected to examine the fitness costs and benefits of intergroup conflict. Full details about this dataset can be found at https://doi.org/10.5285/a1f3d7e5-934f-4b12-ba7c-c372ce9df2c6

  • [This nonGeographicDataset is embargoed until March 31, 2024]. This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase in concentrations of the primary ion (K+) and interfering ion (Na+) to extract the sensitivity and selectivity, respectively using a semiconductor parameter analyser. K+ ion sensing data, measured directly inside a plant stem, are absent as the in vivo experiment should be optimised further. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/89998967-a974-4136-b650-b9af9f9d6969

  • This dataset describes environmental conditions at 135 Saiga antelope calving sites (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation. Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. Saiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host. The attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314 A related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at: https://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b The attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites. Full details about this dataset can be found at https://doi.org/10.5285/912ea336-ac90-418f-be6a-7ae226e167e9

  • Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively. Full details about this dataset can be found at https://doi.org/10.5285/3a4aabba-e790-4ac3-b845-936790768330

  • This dataset measures colour and estimates body size of ant species collected across four vertical strata: subterranean, ground, understory and canopy in lowland tropical rainforest. Ants were collected using different trapping techniques in each stratum; baited traps were used in the subterranean, understory and canopy strata and Winkler extractions were used to collect ground ants. The colour of each ant species was classified categorically by eye using a set pre-determined colours. A single dominant colour was assigned for each species, this was determined as the modal colour across all body parts and individuals for each species. Each colour was linked to a set of RGB (red, green and blue) values which were extracted from the original colour wheel using the image editing software paint.NET (v.4.0.3); RGB values for each colour were converted into HSV (hue, saturation and value) format. Body size of each species was estimated by measuring Weber's length. Accompanying the ant species data set are four additional data files: 1) data set measuring intraspecific variation in colour, 2) data set measuring intraspecific variation in Weber's length, 3) data set measuring soil temperature, and 4) data set measuring UVB radiation 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. Full details about this dataset can be found at https://doi.org/10.5285/c0f65bf5-3cb0-41ab-be3d-982490cecba9

  • These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex, age, birth period, qPCR plate identity, RTL, technician, territory, field period, mum ID, dad ID, mum age at conception, dad age at conception, dominant female ID in the natal territory, dominant male ID in the natal territory Full details about this dataset can be found at https://doi.org/10.5285/8a8240a2-e8ed-495d-ae93-c35200956764

  • [This dataset is embargoed until May 1, 2025]. The data were collected between 2017 and 2020 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The dataset includes information on tree diameter and height, scientific and family names following APG III, Above Ground Biomass (AGB), perturbation gradient, altitude, and plot code. The aim of this data collection is to investigate the factors influencing forest change across various gradients, and to evaluate the forest composition of these forests. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. Full details about this dataset can be found at https://doi.org/10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63

  • The data resource contains Drosophila simulans backcross female mate choice (phenotype) aligned with whole-genome genotypes of 784 female backcross progeny. The data were generated in a laboratory at Stony Brook University, New York and each test was conducted in 28.5 x 95mm plastic vials. Phenotype data was collected in 2015 and the final analysis was completed in 2021. Illumina libraries were sequenced at University of Oregon G3 Genomics Center, and the multiplexed shotgun genotyping (MSG) software was run at Janelia Research Campus, Virginia. The experiments were conducted to align the genotype of females with behavioural phenotype, female preference. Three test females were allowed to choose from three males of either species. ‘Choice’ was determined by copulation, and the species of ‘chosen’ male was recorded before gDNA was extracted from the female. Standard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing. Deniz Erezyilmaz was responsible for data collection and interpretation. Those genomes with incomplete or inconsistent genomes due to sparse reads/coverage were eliminated from the analysis. The research was funded through NERC grant NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/8dde3529-1cf7-4b0f-907d-a1631f38afd7