This annotated dataset comprises locational data of wandering albatrosses at colonies on Bird Island and Annenkov Island in South Georgia, Apotres in the Crozet Islands and Grande Coulee on the west coast of Kerguelen Island. Albatrosses were detected from Very High Resolution (VHR) satellite imagery, which was acquired on the following dates: - Bird Island: January 10th, 2015 - Annenkov: February 3rd, 2017 - Apotres: March 3rd, 2017 - Grande Coulee: March 16th, 2017. Images were manually scanned and albatrosses detected through the use of grids. An experienced observer (''reference count'') and five novice volunteers (observers 1-5) annotated the satellite images to assess interobserver variation. Scanning was carried out by collaborators and volunteers of the Albatrosses from Space project. Additional metadata includes information on image type and model, and image acquisition location. This dataset supports the advancement of remote monitoring for a vulnerable seabird species. This research was funded by the Natural Environment Reseach Council through the NEXUSS CDT, grant number NE/N012070/1, titled ''Automated UAV and Satellite Image Analysis for Wildlife Monitoring.''

This annotated dataset comprises locational data of grey whales in lagoons San Ignacio and Ojo de Liebre in Baja California Sur as detected from Very High Resolution (VHR) satellite imagery in January 2009, 2013 and 2015. Images were manually scanned and whales detected through the use of grids. Additional metadata includes information on image type and model, and whale distinctive characteristics (e.g., fluke or blow). This work supports the '' training'' of machine learning algorithms for automatic detection of whales from satellite imagery. This study formed part of the Ecosystems component of the British Antarctic Survey Polar Science for Planet Earth Programme, funded by The Natural Environment Research Council. The work was supported by the UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (reference EP/S022961/1).

This annotated dataset comprises locational data of beluga whales along the eastern shore of the Yugor Penisula and in the inner part of Baydaratskaya Bay in the southern Kara Sea (Russia) as detected from Very High Resolution (VHR) satellite imagery on July 4th and 9th, 2016. Images were manually scanned and whales detected through the use of grids. Additional metadata includes information on image type and model, and whale distinctive characteristics (e.g., fluke or blow). This work supports the ''training'' of machine learning algorithms for automatic detection of whales from satellite imagery. This study was possible thanks to imagery support from MAXAR Technologies/Digital Globe Foundation for the VHR images and core funding from British Antarctic Survey, Natural Environment Research Council, as part of the ''Wildlife from Space'' project.