e7fdf789-e663-4422-92c2-ea8019b3cc26 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 2025-11-21T10:30:31 UK GEMINI 2.3 WGS 84 Biologging data of captive red deer, Prague, Czechia, June-November 2023 2025-08-07 publication https://catalogue.ceh.ac.uk/id/e7fdf789-e663-4422-92c2-ea8019b3cc26 10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26 doi: Mortlock, E., Esattore, B., Bartoš, L., Lyamin, O., Ježek, M., Capellini, I. (2025). Biologging data of captive red deer, Prague, Czechia, June-November 2023. NERC EDS Environmental Information Data Centre 10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26 This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz. This data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 – 1/8/23; deployment 2 (males) 04/09/23 – 08/11/23; deployment 3 (females) 13/11/23 – 21/11/23. Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic. This dataset was funded by NERC, as part of project “NE/X010368/1: Sleep in the landscape of fear” and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer. Full details about this dataset can be found at https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26 Mortlock, E. Queen's University Belfast euanmortlock@protonmail.com https://orcid.org/0000-0002-1434-7107 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 pointOfContact Mortlock, E. Queen's University Belfast euanmortlock@protonmail.com https://orcid.org/0000-0002-1434-7107 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 Esattore, B. Institute for Animal Science bruno.esattore@hotmail.com https://orcid.org/0000-0003-1024-794X 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 Bartoš, L. Institute for Animal Science bartos@vuzv.cz https://orcid.org/0000-0003-2667-5930 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 Lyamin, O. University of California, Los Angeles olyamin@ucla.edu https://orcid.org/0000-0003-2049-0943 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 Ježek, M. Czech University of Life Sciences jezekm@fld.czu.cz https://orcid.org/0000-0002-4127-9947 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 Capellini, I. Queen’s University Belfast i.capellini@qub.ac.uk https://orcid.org/0000-0001-8065-2436 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Queen's University Belfast euanmortlock@protonmail.com owner Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication deer GEMET - Concepts, version 4.1.3 2019-01-28 creation Animal behaviour animal behaviour biologging red deer accelerometery 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: Mortlock, E., Esattore, B., Bartoš, L., Lyamin, O., Ježek, M., Capellini, I. (2025). Biologging data of captive red deer, Prague, Czechia, June-November 2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26 textTable English utf8 biota 2023-06-01 2023-11-30 14.595 14.606 50.032 50.043 Text NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/e7fdf789-e663-4422-92c2-ea8019b3cc26 Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/e7fdf789-e663-4422-92c2-ea8019b3cc26.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 Biologgers were calibrated immediately prior to deployment. Deer were manipulated in a standard farm handling crush and were not immobilised for deployment. Biologgers were recovered in the same manner. Data was downloaded directly from the Daily Diary logger units and stored in raw format. Data has been transformed into .txt format for reusability across different software. No other processing has taken place, other than screening for device failures, which have been removed from the dataset.