Mammal and avian camera trap observations along the River Kelvin corridor, March-September 2023

The data contains camera-trap observations of birds and mammals, including wild and domestic species, recorded along the River Kelvin corridor within the Glasgow City Council region, Scotland. The dataset includes the names of species observed and number of individuals detected per observation event alongside the date, time and location of detection. 30 camera traps were placed at 10 sites along the River Kelvin in Glasgow with cameras at 0, 250 and 500 m from the river at each site at 0.5-1 m above ground level on trees or posts. Data was collected from 21 March - 22 September 2023, with images and videos captured when animals triggered the cameras. Images were analysed by an AI processor and further investigated by an image analyst. Location-specific data was acquired via QGIS and land cover maps. The resource comprises three CSV files: Mammal_CamTrap_Data.csv, Avian_CamTrap_Data.csv and Study_Site_Data.csv. The mammal and avian files contain post-processed observations which identify the species and number of individuals. The study-site file provides camera locations and environmental variables, including elevation, land cover and distances from key habitat features. The dataset provides information on the occurrence and abundance of birds and mammals detected by camera traps across an urban riparian corridor in Glasgow. It is hoped to be of use for analysing patterns of urban biodiversity and evidencing the value of riparian corridors for providing connectivity within cities. Data was collected by Glasgow as a Living Lab Accelerating Novel Transformation (GALLANT) Work Package Two and funded by the Natural Environmental Research Council as part of the Changing the Environment Programme (Grant NE/W005042/1), with the aim of recording urban biodiversity. Full details about this dataset can be found at https://doi.org/10.5285/b24e0f84-1a49-49da-8962-676d233a7280

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Last Updated October 9, 2026, 15:09 (UTC)
Created October 9, 2026, 15:09 (UTC)