e41601be-1fc7-47ed-85c4-ec00be0c3f93 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-12-19T10:55:47 UK GEMINI 2.3 OSGB 1936 / British National Grid Camera trap monitoring of grey squirrel, red fox and roe deer in Glasgow, 2024 2025-12-18 publication https://catalogue.ceh.ac.uk/id/e41601be-1fc7-47ed-85c4-ec00be0c3f93 10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93 doi: McGhee, W.A.O., Bracken, A.M., Dominoni, D.M., McCafferty, D.J. (2025). Camera trap monitoring of grey squirrel, red fox and roe deer in Glasgow, 2024. NERC EDS Environmental Information Data Centre 10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93 This dataset contains information on grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) identified from camera trap images in 24 open spaces in Glasgow from April to September 2024, along with information describing the detection zone of camera traps and movement speed calculated from video files in a subset of open spaces from June to December 2024. Additionally, a file is present describing the mean number of domestic dogs at each camera for every month along with a file showing set-up and take-down times of each camera at each site. Data was collected by the GALLANT (Glasgow as a Living Lab Accelerating Novel Transformation) WP2 team as part of a study aiming to validate visual biodiversity surveys performed by the Glasgow City Council. Full details about this dataset can be found at https://doi.org/10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93 William McGhee University of Glasgow w.mcghee.1@research.gla.ac.uk pointOfContact McGhee, W.A.O. University of Glasgow w.mcghee.1@research.gla.ac.uk https://orcid.org/0009-0004-5558-643X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Bracken, A.M. University College Cork ABracken@ucc.ie author Dominoni, D.M. University of Glasgow davide.dominoni@glasgow.ac.uk author McCafferty, D.J. University of Glasgow dominic.mccafferty@glasgow.ac.uk author University of Glasgow EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication urban ecology green space GEMET - Concepts, version 4.1.3 2019-01-28 creation Biodiversity Environmental survey otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: McGhee, W.A.O., Bracken, A.M., Dominoni, D.M., McCafferty, D.J. (2025). Camera trap monitoring of grey squirrel, red fox and roe deer in Glasgow, 2024. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93 textTable English utf8 biota 2024-04-01 2024-12-31 -4.493 -3.996 55.758 55.948 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/e41601be-1fc7-47ed-85c4-ec00be0c3f93 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/e41601be-1fc7-47ed-85c4-ec00be0c3f93.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Data were generated by running images through an AI identification software ("CameraTrapDetectoR"), which informed whether images contained a mammal, bird, human, vehicle or was empty. Images which contained a human, vehicle or were empty were removed from further analysis. Remaining images were identified by eye and images of grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) were filtered into the files presented here. Video analysis was done in the field, discarding images not of the three aforementioned species, as well as rabbit (Oryctolagus cunciculus). Detection zone calculations were done with assistance from the photo-editing software Canva. Domestic dogs were counted for one week, per camera, per month and averaged.