Since 1998, station personnel have been recording the wildlife they've observed whilst living and working at Rothera Research Station, Antarctica, as part of the Rothera Time-Series (RaTS) project. Originally, this consisted of a daily count of animals seen recorded in a logbook. More recently, dedicated wildlife survey recording sheets have been made available. The handwritten raw data were then collated and input into a spreadsheet, creating a database of wildlife sightings. Funding source: These data have been collected by British Antarctic Survey (BAS) personnel as part of an on-going long-term monitoring programme supported by NERC core funding.

This dataset includes the transcript of discussion group activities on Human Wildlife conflict, conducted with ten rural communities in Marrupa District, Niassa (Northern Mozambique). It also comprises the results of semi-structured interviews conducted individually in three of the ten selected communities. The ten villages were selected from a forest cover gradient running from villages with a higher forest cover to those within degraded forest areas and consequently low cover. The villages had similar infrastructure, soils, rainfall, and vegetation types. The dataset contains information on the occurrence of conflict with both vertebrate and invertebrate wild species, mitigation strategies, conflict seasonality and trends, but also its impact on agricultural production and livestock rearing. The discussion groups were conducted with six to ten people and the presence of the leader of each village, between May and July 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/7bd2e230-c219-4017-9914-b5cfd83a4eae

This resource contains anonymised interviews with community members in Chundu Ward, Hurungwe District, Zimbabwe, conducted to further our understanding of how the local community interacts with tsetse. Semi-structured interviews were conducted with key informants in 2012 to 2013 to investigate livelihood strategies including hunting, livestock keeping and cultivation, and how they influenced the risk of contracting trypanosomiasis. Human African trypanosomiasis (HAT) occurs sporadically within the Zambezi Valley in Zimbabwe and is transmitted by the tsetse fly (Glossina morsitans morsitans and Glossina pallidipes). African animal trypanosomiasis (AAT) is more prevalent and places significant constraints on livestock keeping. Approaches taken by local people to control or manage the disease were also investigated during the interviews. This research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and these interviews contributed to this consortium. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/f712c52f-1ce9-4603-bc33-685221a14f50

Data comprise a catalogue of motion activated digital trap camera images of Eurasian Lynx (Lynx lynx (L., 1758)) obtained from motion-activated digital trap cameras located within the Chornobyl Exclusion Zone, Ukraine (CEZ) over multiple years (2012-2018). Images of Eurasian lynx obtained from the cameras are included as part of the dataset. The data were obtained from three research projects: (1) NatEnvPr - Studies conducted 2012–2018 (2) TREE - Studies conducted 2014–2016 and (3) RED FIRE - Studies conducted 2016–2017 The cameras for all projects were setup with the aim to capture images of medium-large mammals; the studies were not designed to obtain quantitative assessments of abundance and density of Eurasian lynx across the CEZ. No bait was used during any of the studies. Full details about this dataset can be found at https://doi.org/10.5285/c099d04e-72e0-4ee9-ac72-11dc004ec1f6

Motion activated camera traps were installed in pine woodland and regenerating heathland from 2010 as part of UK Environmental Change Network long-term monitoring in the Allt a'Mharcaidh catchment, Cairngorms National Park, Scotland. The image catalogue contains 8050 wildlife images identified to species or group where possible. This forms part of the accompanying dataset which includes information on over 66,000 classified images, recording the presence of blank (empty) images, wildlife, people, dogs and mountain bikes. Furthermore it includes group identification where a series of images occur within five minutes of each other. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b0c13df5-f606-4bf2-9397-a9c51a7e8d93

Data comprise biological and ecological half-life values for marine, freshwater, terrestrial and riparian organisms. The database includes 1908 biological half-life values for 52 elements across a range of wildlife groups (marine, freshwater, terrestrial and riparian). The compilation of values from a range of sources was conducted by an international working group under the auspices of an International Atomic Energy Agency programme. Full details about this dataset can be found at https://doi.org/10.5285/b95c2ea7-47d2-4816-b942-68779c59bc4d

The data presented here comprise a catalogue of 61736 camera trap images obtained during the period June - November 2020 (this period is described within the dataset as 'setup 1'). Following the explosion at the Chornobyl nuclear power plant in April 1986, a 5000 km2 exclusion zone surrounding the plant was created; people and farm animals were subsequently evacuated from the area. In April 2020 there were severe wildfires within the Ukrainian part of the exclusion zone (2600 km2) where approximately 870 km2 was burnt. The NERC-funded CHAR project conducted a study which involved placing motion activated digital camera traps at three sites (each covering an area of 80 km2) within the Ukrainian exclusion zone from June 2020 - August 2021 to assess large mammal activity following the fire. Thirteen cameras were randomly located at each site; all camera deployment locations had been used in a previous study 2014-2015 (https://tree.ceh.ac.uk/content/chernobyl-webcams). All the images obtained during June - November 2020 are included as part of the dataset with the exception of those images containing people, vehicles or members of the CHAR research team setting up and servicing the cameras; these images have been catalogued but they are not included in the dataset to protect privacy. Information on camera deployment periods, site characteristics and descriptions of each camera location (e.g. geographic coordinates, estimates of ambient dose rate, description of animal trails or tracks and the extent of fire damage in vicinity of where the camera is mounted) have also been included as part of the dataset. Staff from the Chornobyl Center for Nuclear Safety deployed, maintained and downloaded information from the cameras and provided field notes and observations of habitat. UKCEH staff populated the dataset using the information provided. Full details about this dataset can be found at https://doi.org/10.5285/9bd7754d-ea87-4b35-bec1-f39d5cc76db6

The data presented here comprise a catalogue of 11633 trap camera images obtained during the period November 2020 to March 2021; this period is described within the dataset as setup 2. Following the explosion at the Chernobyl nuclear power plant in April 1986 an approximately 5000 km2 exclusion zone surrounding the plant was created; people and farm animals were subsequently evacuated from the area. In April 2020 there were severe wildfires within the Ukrainian part of the exclusion zone (2600 km2) where approximately 870 km2 was burnt. The NERC funded CHAR project conducted a study which involved placing motion activated digital trap cameras at three sites (each covering an area of 80 km2) within the Ukrainian exclusion zone from June 2020 - August 2021 to assess large mammal activity following the fire. Thirteen cameras were randomly located at each site; all camera deployment locations had been used in a previous study 2014-2015 (https://www.ceh.ac.uk/our-science/projects/chernobyl-images). All the images obtained during November 2020-March 2021 (setup 2) are included as part of the dataset with the exception of those containing people, vehicles or members of the CHAR research team setting up and servicing the cameras; these images (n= 692) have been catalogued but the images are not included in the dataset to protect privacy. Information on camera deployment periods, site characteristics and descriptions of each camera location (e.g. geographic coordinates, estimates of ambient dose rate, description of animal trails or tracks and the extent of fire damage in vicinity of where the camera is mounted) have also been included as part of the dataset. Staff from the Chornobyl Center for Nuclear Safety deployed, maintained and downloaded images and associated metadata from the trap cameras in March 2021. Using the images and associated metadata, the image catalogue was populated by Chornobyl Center staff with: species identified in image, number of animals visible in image, the number of triggering events (cumulative by camera) and any relevant notes; the image catalogue (MSExcel) and trap camera images (.jpeg) were subsequently supplied to UKCEH. Site descriptions and camera information were provided by Chornobyl Center staff and supplied to UKCEH by staff as MSExcel files; the same person from the Chornobyl Center recorded all descriptive parameters. The information provided includes: site field notes, habitat descriptions, camera location (latitude and longitude, WGS84), estimates of ambient dose rate (µSv h-1), camera deployment dates and the number of days each camera was deployed. The data and images were quality checked by a member of UKCEH staff and any queries were investigated and amended where necessary. This dataset contains data related to setup 2; for data related to setup 1 see: https://doi.org/10.5285/9bd7754d-ea87-4b35-bec1-f39d5cc76db6 Full details about this dataset can be found at https://doi.org/10.5285/a657ffc3-8f62-458f-bcb7-30e116807174

Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models. Full details about this dataset can be found at https://doi.org/10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251

[THIS DATASET HAS BEEN WITHDRAWN]. Please note - this dataset is not current. For the most recent version, please search for the dataset titled 'Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain'. Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models. Full details about this dataset can be found at https://doi.org/10.5285/7a5cfd3e-0247-4228-873d-5be563c4ee3b