This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species was recorded in that square only the current atlas time period (2000-2016), only the previous atlas time period (1960-1992) or in both time periods. The dataset contains data for all species mapped in the atlas, with the exception of cetaceans which are not included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/ab61349e-c055-477c-9872-22a4f7cc2473

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species was recorded in that square only the current atlas time period (2000-2016), only the previous atlas time period (1960-1992) or in both time periods. The dataset contains data for all species mapped in the atlas, with the exception of cetaceans which are not included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/422adbc3-306e-437a-9fe1-c7b53a374f87

These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. Sample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. These data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme. Full details about this dataset can be found at https://doi.org/10.5285/84242834-dc78-49a6-83cb-951edac65d18

This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo. Information for each camera trap sampling location, including spatial information and sampling effort is included. Data were collected in order to determine the contribution of carbon-based policies to biodiversity conservation in agricultural land-use mosaics. These data are essential to the development of the occupancy detection matrix. Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme. Full details about this dataset can be found at https://doi.org/10.5285/62774180-ae72-4873-9482-e8be3935f533

The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. The following eight major groups were identified as being associated with fresh waters in the UK: algae, amphibians, birds, fish, invertebrates, macrophytes, mammals and reptiles. Algae (except stoneworts) were not included in the UK Checklist of Freshwater Species as they are currently undergoing a major revision. Other microorganisms (bacteria, fungi and viruses) are also not included in this species list. The checklist was compiled to allow querying of freshwater species data in the Biological Records Centre (BRC) but to also to query freshwater species data from the BRC via the UK Lakes Portal (https://uklakes.ceh.ac.uk/), as well as to update the freshwater species list supplied to the UK Species Inventory (UKSI) partners, such as Recorder 6, National Biodiversity Network (NBN) Atlas and iRecord. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd

The dataset comprises one 1km habitat suitability surface for each of 5073 species of vascular plant, mammal, bryophyte, lichen, insect and non-insect invertebrate. The outputs are provided as .asc files denoting habitat suitability at a spatial resolution of 1km. The map projection is OSGB 1936 (EPSG:27700). Full details about this dataset can be found at https://doi.org/10.5285/ec921bc2-5538-47ed-9e72-0d687b4ca4d3

This data set provides a spatial stratification of forest cover into discrete vegetation classes according to the High Carbon Stock (HCS) Approach. The data set covers the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo. Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) programme. Full details about this dataset can be found at https://doi.org/10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700

[THIS DATASET HAS BEEN WITHDRAWN]. Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They represent continuous records (the transects are walked four times each year) from 1993 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/cfdb346f-6cde-4fba-9044-96e202398435

Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They represent continuous records (the transects are walked four times each year) from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085

Data comprise a catalogue of motion activated digital trap camera images obtained from cameras located in the Red Forest, Chornobyl (Ukraine) over a period of a year (September 2016 - September 2017); images are included. In total 45,859 images were captured; of these 19,393 contained identifiable species or organism types, 565 recorded people, 349 were of species that could not be determined and 25,552 images recorded nothing. In addition there were 687 images of members of the research team setting up and servicing the cameras. All images, with the exception of those that recorded people or camera setup/service, are included as part of the dataset. Site characteristics and descriptions for each camera location are provided (e.g. site location, estimates of ambient dose rate, activity concentration of Cs-137 and Sr-90 in soil, Cs-137 and Sr-90 deposition, extent of fire damage, vegetation and forest cover and density and water proximity). The same person recorded all descriptive parameters. Information related to each cameras deployment is also provided; this includes camera deployment periods, number of days deployed and a summary of the images (e.g. number of images with mammals, birds or insects in, number of images with nothing in, number of images with people in) and the total number of triggering events recorded. Also provided are indicative weighted absorbed dose rates estimated using the ERICA Tool v2.0 https://erica-tool.com/ for a ‘large mammal’ and ‘red fox’. Species definitively captured on the motion activated digital trap cameras were:Brown hare, Eurasian elk, Eurasian lynx, European badger, Domesticated dog (feral), Grey wolf, Przewalski's horse, Raccoon dog, Red deer, Red fox, Red squirrel, Roe deer, Wild boar, Black grouse, Common blackbird, Common buzzard, Common wood pigeon, Eurasian bittern, Eurasian hoopoe, Eurasian Jay, Eurasian sparrowhawk, Eurasian woodcock, European nightjar, European robin, Fieldfare, Great egret, Great grey shrike, Great spotted woodpecker, Great tit, Hazel grouse, Mistle thrush, Red backed shrike and Song thrush. Others identified to genus level include:Marten sp., Finch sp., Shrike sp., Thrush sp. There were also some mammal and bird species which were unidentifiable. Site descriptions, camera information, a summary of the contents of the image catalogue, summaries of mammals and birds by setup, site and camera and all the trap camera images have been provided as part of this dataset. Full details about this dataset can be found at https://doi.org/10.5285/bf82cec2-5f8a-407c-bf74-f8689ca35e83