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  • This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects ‘Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems’ (AFIRE) and ‘Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests’ (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at

  • The datasets contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different spectra of artificial light at night on an experimental insect food web with coloured near-monochromatic LEDs, with a single peak emittance across the visible and near-UV spectrum at wavelengths of 385, 447, 469, 475, 518, 607 and 630 nm plus a dark control. The dark control was exposed to the natural background light levels at night. We kept photon flux similar to the output of a white light LED at 20 lux, for all light treatments apart from the UV treatment. Data collection was done in a field site, and controlled temperature room at Penryn Campus of University of Exeter, Penryn, UK. The field experiment was set up on 3rd June 2017 and ran for 17 weeks, while the additional experiments were conducted between summer 2017 and summer 2018. The data have been sampled as part of the NERC project NE/N001672/1 “Effects of artificial light on multi-trophic population dynamics”. Full details about this dataset can be found at

  • The dataset describes the functional effects traits derived for 57 taxonomic units (species, genus and family level classifications) of oilseed rape insect pollinators. This data provides information on both morphological and behavioural traits, typically at the species level, but also at a generic and functional group level. Data acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this nonGeographicDataset can be found at

  • Geographic distances between pairs of wild bumblebee colonies across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Colony locations were estimated using the foraging locations of workers sampled in summer 2011, genotyped and grouped into full-sib families. The spatial structure of five Bombus species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum and B. ruderatus) was determined, with inter-colony distances varying from 7 to 5264 metres. Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative. Full details about this dataset can be found at

  • This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies: pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files. A total of 1,526 impacts were identified by the experts, and these impacts can be found in the "Compiled-Impact.csv" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country. After two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file "Unique-Impact.csv". This final dataset contains 209 impacts and information about the same variables described above for the “Compiled-Impact.csv” file. Full details about this dataset can be found at

  • This dataset consists of counts of pollinating insects from sites across Wales, with associated information on flower cover and survey conditions. Data were collected during (1) transect walks and (2) timed observations of pollinator-flower interactions. Data were collected between 2013 and 2016 from sites across Wales as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government to monitor the effects of the Glastir agri-environment scheme on the environment. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at

  • 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

  • This dataset contains analytical results for wild yeast isolates from soil samples at and near a disused metal smelting works in the north-east of the UK. The main contaminant from the smelting works was lead (Pb), but Cd was also elevated. The soil near the smelting works showed above-background levels of Pb. Yeasts of similar colony morphology on laboratory agar were isolated and proved to be mostly isolates of Saitozyma podzolica: 56 independent clonal isolates of this yeast were confirmed by ITS sequencing and RAPD-PCR. All of the S. podzolica isolates were tested for Pb and Cd resistance (IC50) and heteroresistance. Heteroresistance indicated variation in metal resistance between individual cells of clonal populations. Some isolates were also tested with Zn. The genomes of the isolates were sequenced and sequence data submitted to the NCBI/EBI. Full details about this dataset can be found at

  • The dataset contains genotypes for samples used to validate a 50K single nucleotide polymorphism (SNP, DNA mutation) Axiom array for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex. Full details about this dataset can be found at

  • This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2014), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and a more recent version of the UKBMS species trends (2015) is now available. Full details about this dataset can be found at