Motion-activated camera trap images from the ECN Cairngorm long-term monitoring site, 2010-2022

• Published by: Environmental Information Data Centre
• Last updated: 29 June 2024
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

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. Full details about this dataset can be found at https://doi.org/10.5285/b0c13df5-f606-4bf2-9397-a9c51a7e8d93

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Data links

Link to the data	Format	File added	Data preview
Supporting information	ZIP	29 June 2024	Not available
Download the data	N/A	29 June 2024	Not available

Additional information

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• Added to data.gov.uk: 2024-02-27
• Access contraints: If you reuse this data, you should cite: 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
• Harvest GUID: b0c13df5-f606-4bf2-9397-a9c51a7e8d93
• Extent: Latitude: 57.118° to 57.076°
• Extent: Longitude: -3.86° to -3.8°
• Dataset reference date: 2023-03-20 (publication)
• Responsible party: (pointOfContact, author, custodian, publisher, owner)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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