Whale sightings during POLARSTERN cruise PS93.1 (ARK-XXIX/2.1)

• Main Author: Burkhardt, Elke
• Format: Dataset
• Language: English
• Published: PANGAEA 2020
• Subjects: ARK-XXIX/2.1; Certainty of identification; Cetacean sightings; CT; DATE/TIME; Individuals; LATITUDE; LONGITUDE; MAPS; Marine Mammal Perimeter Surveillance from RV Polarstern; Polarstern; PS93.1; PS93.1-track; Underway cruise track measurements; Visual observation; WALOG; Whale species; Longyearbyen; Tromsø; Arctic; Berichte zur Polar- und Meeresforschung; Reports on Polar and Marine Research
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.924706; https://doi.org/10.1594/PANGAEA.924706

Data on whale distribution and abundance in the polar oceans is rather sparse, as implementing the standard surveying method, line-transect surveys, is challenging and costly. To overcome this problem, we initiated a program to electronically log all opportunistic cetacean sightings during all Polarstern expeditions through the nautical officer on watch. Opportunistic (visual) sightings by naked eye were logged during Polarstern Cruise PS93.1 (Longyearbyen - Tromsø) by the nautical officer on duty using a customized Software package (WALOG, WhAleLOGger) installed on a touch screen laptop located on the ship's bridge. Species were identified by naked eye or handheld binoculars (7x50) to the lowest possible taxonomical level and assigned a “certainty” level of identification. The number of animals were counted if possible or estimated for larger groups. Whenever identification to species level was not possible, the next identifiable taxonomical category was assigned. Information on sighting position, date and time are automatically transferred from the ship's DAVIS-Ship System (https://dship.awi.de/) to the WALOG software at the time of logging. Photographs were taken if possible for retrospective analysis. All data of acquired sightings were retrospectively validated by a marine biologist and converted to a standard format. To this end, plausibility of sighting time, location, standardization of species names, eventual comments added at the time of sighting, as well as additional information such as photographs (if available) were checked either to verify or improve species identification. Datasets are used in species distribution modelling and to inform interested parties about occurrences.