Mortlock, E.; Esattore, B.; Bartoš, L.; Lyamin, O.; Ježek, M.; Capellini, I.
Biologging data of captive red deer, Prague, Czechia, June-November 2023
https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26
Cite this dataset as:
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
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This dataset is available under the terms of the Open Government Licence
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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.
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.
Publication date: 2025-08-07
View numbers valid from 07 August 2025 Download numbers valid from 07 August 2025 (information prior to this was not collected)
Format
Text
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2023-06-01 to 2023-11-30
Temporal resolution
1 second
Provenance & quality
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.
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.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
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
Correspondence/contact details
Mortlock, E.
Queen's University Belfast
University Road
Belfast
BT7 1NN
UNITED KINGDOM
euanmortlock@protonmail.com
Belfast
BT7 1NN
UNITED KINGDOM
Authors
Other contacts
Rights holder
Queen's University Belfast
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Funding
Natural Environment Research Council Award: NE/X010368/1

https://orcid.org/0000-0002-1434-7107