This dataset consists of tick sampling and microclimate data from Exmoor, Richmond and New Forest study sites; as well as ARCGIS risk maps that model tick abundance driven by climate surfaces and host abundance. Tick sampling data (91 files, each representing a day of sampling) indicate tick abundance (distinguishing larvae, nymphs, adult males and adult females), vegetation height, soil moisture, temperature and relative humidity. Static risk map files indicate modeled tick abundance: 251 landcover files for the three sites, as well as 36 ArcView map files. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Many people take pleasure from activities in forests and wild lands in the UK and others are being encouraged to participate. Unfortunately, there are risks and one of the most insidious is the possibility (albeit tiny) of acquiring a disease from wild animals; for example, ticks can be vectors of the bacterial infection leading to Lyme Disease. Both diagnosis and treatment can be problematic so prevention of acquiring such disease is highly desirable. Surprisingly little is known about how best to warn countryside users about the potential for disease without scaring them away or spoiling their enjoyment. Answering such questions was the goal of this project, and required the integration of a diverse set of scientific skills, and an understanding of the views of those who manage countryside, those who have contracted zoonotic diseases and those who access the land. This project combined knowledge from three strands of work, namely risk assessment, risk perception and communication, and scenario analysis. The study sites were selected to provide a range of environmental conditions and countryside use. Peri-urban parkland, accessible lowland forest and heath and remote upland forest were chosen as represented by Richmond Park on the fringe of Greater London, the New Forest in Southern England, and Exmoor in South West England. The following additional data from this same research project are available at the UK Data Archive under study number 6892 (see online resources): Lyme disease risk perception data resulting from tick imagery vignette experiments, Lyme disease patient interviews and surveys, residents and countryside staff focus groups, forest manager interviews, and multiple scoring procedures of animal social representation; as well as Lyme and tick risk communication data resulting from interviews with organisations and content analysis of risk warning information leaflets, Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).

The dataset contains light penetration through the water column at a Durleigh Reservoir in Somerset, England. HOBO Pendant Temperature/Light 8K Data Loggers (Onset) were positioned at 0.5 m, 1.5 m, and 2.5 m depths on a temperature chain Durleigh. The loggers were deployed between 30 May 2018 and 5 October 2018. Full details about this dataset can be found at https://doi.org/10.5285/fc1cf9a7-d7b0-4948-8328-497d6e071950

The dataset contains the weight of fine root (<2 mm) at two soil depths (0-10 cm and 10-30 cm) collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. Data were obtained by the in growth core method, in campaigns conducted every three months from 2017 to 2019 in all plots. Full details about this dataset can be found at https://doi.org/10.5285/b3a55011-bf46-40f5-8850-86dc8bc4c85d

The dataset contains the leaf area index (LAI) (m2/ m2 ) collected with the LAI-2200 C (plant canopy analyzer), that was computed with 5, 4 and 3 rings using the FV2200 software. Additionally, it has the x and y coordinates (m) of the points collected inside the plots and the time of collection (hour: min: sec). This research was collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. The campaigns were carried out in October 2017, March 2018, August 2018 and October 2018. Full details about this dataset can be found at https://doi.org/10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc

These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September 2017 and April 2018. For sediments taken at each site, data includes hydrocarbon concentrations (alkanes and Polycyclic Aromatic Hydrocarbons (PAHs)), absolute microbial abundance (by Quantitative Polymerase Chain Reaction (qPCR)) of Bacteria, Archaea, and Fungi, and 16S rRNA amplicon libraries of Bacteria and Archaea. Additionally, nutrient concentrations (ammonia, nitrate, nitrite, silicate, and phosphate) were measured from seawater samples taken at the same sites. This study was conducted by the University of Essex, in partnerships with Archipelagos Institute of Marine Conservation and Cranfield University, and funded by the National Environmental Research Council and EnvEast DTP. Full details about this dataset can be found at https://doi.org/10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53

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

The dataset contains stem respiration (ppm) of 320 trees with DBH (Diameter at breast height) > 26 cm, measured with the EGM-4 (Environmental Gas Monitor for CO2). Data were collected on October 2019. In relation to the soil respiration dataset, it contains soil respiration (µmol CO2m-2 s-1) of different type of collars placed on the forest floor, and measured with the LI – 8100 A soil respiration system. Data were collected from June 2017 to October 2019. In both activities, leak tests were done before collections. All research was conducted in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. Full details about this dataset can be found at https://doi.org/10.5285/591e3708-7ff1-483b-9156-15c721c00daf

The dataset contains 5-day of water velocities at Durleigh Reservoir in Somerset, England. A Nortek Vector acoustic doppler velocimeter (ADV) was used to collect the dataset. The ADV was deployed between 20 August 2018 (15:00) and 24 August 2018 (09:15), located ~ 30 m north of the surface mixers in Durleigh reservoir. The surface mixers were operating when the ADV was deployed and were switched off between 07:17 on 22 August and 16:42 on 23 August 2018. Full details about this dataset can be found at https://doi.org/10.5285/fd3eb9f3-832e-4a16-b9db-fd6045242ecf

This dataset contains a list of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use oak (Quercus petraea and Quercus robur) in the UK. In total 2300 species are listed in the dataset. For each species we provide a level of association with oak, ranging from obligate (only found on oak) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each oak associated species is provided: part of tree used, use made of tree (feeding, roosting, breeding), age of tree, woodland type, tree form (coppice, pollarded, or natural growth form) and season when the tree was used. Data on use or otherwise by each of the 2300 species of 30 other alternative tree species (Acer campestre, Acer pseudoplatanus, Alnus glutinosa, Betula pendula, Betula pubescens, Carpinus betulus, Castanea sativa, Fagus sylvatica, Fraxinus excelsior, Ilex aquifolium, Larix spp, Malus sylvestris, Picea abies, Pinus nigra ssp. laricio, Pinus sylvestris, Populus tremula, Prunus avium, Pseudotsuga menziesii, Quercus cerris, Quercus rubra, Sorbus aria, Sorbus aucuparia, Sorbus torminalis, Taxus baccata, Thuja plicata, Tilia cordata, Tilia platyphyllos, Tilia vulgaris, Tsuga heterophylla, Ulmus glabra) was also collated. A complete list of data sources is provided. Full details about this dataset can be found at https://doi.org/10.5285/22b3d41e-7c35-4c51-9e55-0f47bb845202

The data consists of leaf traits and nutrients from litterfall in a fertilised old-growth forest in the Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus, and cation treatments). The dataset includes realized leaf area, and Leaf Mass Area (LMA). The field work was completed in August of 2017, 2018 and 2019. The study was funded by NERC, BDFFP (logistical support), and the Brazilian government (students' scholarship). Full details about this dataset can be found at https://doi.org/10.5285/58b66cdf-451c-42e7-8153-c24ec30631fd