Data comprise plot location (latitude, longitude, elevation), taxonomic family and species names and measurements of trees (diameter, height, health). Presence of lianas (vines) and their measurements were also recorded. Funder: NERC - Brazil (CONFAP) Newton Fund: “Dry forest biomes in Brazil: biodiversity and ecosystem services” (NE/N000587/1) Full details about this dataset can be found at https://doi.org/10.5285/aa3babe9-072c-42ce-9ea5-9dbb921a922d

This dataset is part of the study of mimetic host shifts in an endangered social parasite of ants, which is a joint study of the NERC's Centre for Ecology & Hydrology(UK), the University of Oxford(UK), University of Bialystok(Poland), Polish Academy of Sciences(Poland) and UFZ Helmholtz Centre for Environmental Research(Germany). Combined with datasets collected from previous study, they compare the proportions of caterpillars of Maculinea rebeli being adopted by resident Myrmica ant species near Przemysl, Poland in autumn with proportions of successful survivors the following summer to establish host specificity of the socially parasitic butterfly species. The data comprise: the study year, the ant species, total number of ant nest, the number of caterpillar survivors found in the nest of each ant species, number of nests with caterpillar presence and total number of nests without caterpillar presence. They were obtained from one population for 4 years(Y2001, Y2003, Y2004, Y2005). Detailed research method can be found in Thomas et al. (2013) Mimetic host shifts in an endangered social parasite of ants. Proc. R. Soc. B vol. 280 no.1751. (doi: 10.1098/rspb.2012.2336) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/b472d635-d8fa-4c39-acfe-2b285ca0b9a8

This dataset contains modelled ammonia recapture by shelterbelts downwind of an ammonia source. The runs were located in the UK with ten years of averaged meteorological data for the different seasons of the year. Several tree species and tree heights were also taken into consideration and predictions of recapture were made for the year 5, 15, 25 and 50 after planting . Two models were coupled to obtain this dataset; Open-source Field Operation And Manipulation (OpenFOAM) and MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions (MODDAS-2D). This dataset was created by the Modelling Uncertainty for Decision Making on Ammonia mitigation with Trees in the landscape (MUDMAT) project funded by NERC. Full details about this dataset can be found at https://doi.org/10.5285/83a2a25c-dbb7-4760-ae3d-21904f3dd278

This dataset contains vegetation abundance information from sites in southern England. The data are estimated as percentage cover and flower density of 165 plant species in 1624 vegetation quadrats. The surveys were conducted during 2008 and 2009. The 54 sites are all part of the UK Butterfly Monitoring Scheme network. The data were collected to compare plant abundance and butterfly population density. The research was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/ca34e25b-6138-4b72-b32c-778d762118f1

The data consist of eight datasets on stickleback fish personality data. Data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and sex differences in the proportion of time spent out of cover. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were filmed and timed using a high definition camera. 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 and NERC (grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) 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/10.5285/9c7fe956-0ae6-46b6-bca2-2be5778e46bd

This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been amended by addition of various sources of phosphorus (inorganic phosphate, adenosine monophosphate, phytic, or a mixture of all three) plus an unfertilized control treatment with no P additions. The aim of the experiment was to test the hypothesis that seedlings of species that associate with different types of root-inhabiting mycorrhizal fungi would respond differently to the range of P sources applied in the experiment. The experiments were conducted as part of a NERC Discovery Science project with the title Explaining niche separation in tropical forests: feedbacks from root-fungal symbioses and soil phosphorus partitioning led by Professor David Burslem (University of Aberdeen) reference NE/M004848/1. Full details about this dataset can be found at https://doi.org/10.5285/3ad644c9-e341-4a15-ab35-311076defc33

Density and biomass of fish taxa from three chalkstreams in the Wessex chalk area: Nine Mile River, River Till and River Wylye. Data were collected on five occasions, between October 2012 and October 2013. The density of fish taxa at each of the three streams was estimated using benthic fish sampling and multi-pass electrofishing. The mean biomass of individuals of each taxon at each site on each occasion was then applied to the density estimates to derive an estimate of the biomass per m2 of each taxon at each site on each occasion. Data were collected to quantify food webs detailing the flux of mass and nutrients between nodes of the food web. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/7eee41f8-dbde-4b5e-b2d5-7296b5bfc558

Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. The data present information on various mating-related activities of male crickets, including age, singing activity, dominance in fights, and lifespan. Data were collected from 2006 to 2016. Full details about this dataset can be found at https://doi.org/10.5285/57c7f153-0f5c-40ef-bf73-e800cb8d4013

This dataset contains data on the movement of the seabird tick, Ixodes uriae, in an artificial arena. 24 adult female and 24 nymphal I. uriae were collected on the Isle of May, Scotland on the 25th-27th March 2014 and 18th July 2013 respectively. Nymphal ticks were taken from boiler suits worn by field workers, and adult female ticks were taken from cracks in the rock face. They were then transported to a laboratory where they were individually placed in an artificial arena, composed of a single A1 piece of paper and 30 cm high walls. Straight line distances moved were then measured at fixed time intervals. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/aec8b5b2-642b-41ae-8c30-36a4388411cb

The dataset contains a stratified survey of ecological and soil states at sites where fine scale patterns of covariation between vegetation and edaphic characteristics were recorded. Key data collection included leaf area index, moss and organic matter thickness, surface and deeper soil moisture. Data were collected at sites in the Yukon (2013) and Northwest Territories (2014), Canada. Full details about this dataset can be found at https://doi.org/10.5285/36f4e380-d01d-44a7-8321-7a677e6996b2