Motion-activated camera trap images from the ECN Cairngorm long-term monitoring site, 2010-2022
https://doi.org/10.5285/b0c13df5-f606-4bf2-9397-a9c51a7e8d93
Cite this dataset as:
Andrews, C.; Dick, J. (2023). Motion-activated camera trap images from the ECN Cairngorm long-term monitoring site, 2010-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/b0c13df5-f606-4bf2-9397-a9c51a7e8d93
Download/Access
PLEASE NOTE:
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence 
Bulk download options
You can use WGET to download data. For example
wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/b0c13df5-f606-4bf2-9397-a9c51a7e8d93
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.
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.
Publication date: 2023-03-20
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Formats
Comma-separated values (CSV), jpeg
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Temporal information
Temporal extent
2010-01-01 to 2022-12-31
Provenance & quality
Data was collected and processed using a standardised methodology included as a supplementary file.
Images were collated directly from cameras into yearly named folders by year. Yearly collections were then processed through Microsoft’s object detection AI, MegaDetector (https://github.com/microsoft/CameraTraps/blob/main/megadetector.md), to streamline image content identification. Data extraction then took place using content filters within 'Timelapse: An Image Analyser for Camera Traps' software (https://saul.cpsc.ucalgary.ca/timelapse) with output data exported as a .csv file.
Any errors with time and date extracted from image EXIF, were corrected manually during the final processing step. The data was manually checked for errors but has not been through an exhaustive QC process which is recommended as good practice prior to use.
Images were collated directly from cameras into yearly named folders by year. Yearly collections were then processed through Microsoft’s object detection AI, MegaDetector (https://github.com/microsoft/CameraTraps/blob/main/megadetector.md), to streamline image content identification. Data extraction then took place using content filters within 'Timelapse: An Image Analyser for Camera Traps' software (https://saul.cpsc.ucalgary.ca/timelapse) with output data exported as a .csv file.
Any errors with time and date extracted from image EXIF, were corrected manually during the final processing step. The data was manually checked for errors but has not been through an exhaustive QC process which is recommended as good practice prior to use.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Andrews, C.; Dick, J. (2023). Motion-activated camera trap images from the ECN Cairngorm long-term monitoring site, 2010-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/b0c13df5-f606-4bf2-9397-a9c51a7e8d93
Related
This dataset is included in the following collections
Supplemental information
'Timelapse: An Image Analyser for Camera Traps' software
Correspondence/contact details
Andrews, C.
UK Centre for Ecology & Hydrology
Bush Estate
Penicuik
Midlothian
EH26 0QB
UNITED KINGDOM
enquiries@ceh.ac.uk
Penicuik
Midlothian
EH26 0QB
UNITED KINGDOM
Authors
https://orcid.org/0000-0003-2428-272X Other contacts
Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/R016429/1
NatureScot
NatureScot