An outline of the blue whale voyages of 2012 can be found here: http://www.marinemammals.gov.au/sorp/antarctic-blue-whale-project/bonney-upwelling-acoustic-testing-expeditions with further information here: http://www.marinemammals.gov.au/__data/assets/pdf_file/0005/135617/SC-64-SH11.pdf The 'Logger' data entry system was developed by the International Fund for Animal Welfare (IFAW) and is a flexible system to record information during a voyage. This system was the primary data entry system for the voyage and all events were recorded in Logger’s database. Blue whale voyage 1 datasets: 12 - 25 January 2012 Sightings from the first blue whale voyage are recorded across three access databases: 20120117LoggerFinalPart1Updated.mdb 20120121LoggerFinalPart2Updated.mdb 20120125LoggerFinalPart3Updated.mdb These databases contain tables describing: Comments: details additional to sightings entered or data entry omissions, time stamped (UTC) Observer effort - codes found in lookup table, date/time in UTC GPS data (time stamped, UTC) and heading Lookup - contains all topic codes to apply to all other tables Resights: resighting details for sightings already recorded, time/date in UTC, initial sighting number, blow count and notes Cetacean sightings - date/time in UTC, sighting number, observer name, vessel, estimate of distance, bearing, heading, species code, sighting cue code, estimate of number of individuals (low, best and high), group behaviour, pod compaction, surface synchronicity and comments Weather: Date/time in UTC, sightability, glare, sea state, wind strength, swell, weather, cloud cover, cloud height, notes Blue whale voyage 2 datasets: 13 - 30 March 2012 GPS data is stored in the file called 'gps_meld_data_exp.csv'. This is an amalgam dataset of two GPS data streams, that has been checked and corrected (see 'Quality' for further details. Date time is stored in two formats. The first is %Y-%m-%d %H-%M-%S format, as in "2012-03-16 17:54:32". The second format is a concatenated, orderable numeric string, as in 20120316175432. The small file 'trip_db.csv' contains a quick reference as to when the four trips of blue whale voyage 2 started, to the minute. These times have been corrected for the minor (i.e, 2 mins 15 second) error (see 'Quality' below). Effort database is contained in the file 'VWhale2_database_effort_corrected.csv'. A fair amount of 'correction' has gone on with this data as there were great variations in the way different people were adding new information into Logger. Furthermore, there were 'innovations' made to the Logger system, particularly after the first couple of trips. In particular, the effort was added to Logger in the first trip was exactly as it was in the first voyage (the VL was too seasick to make any amendments). So, according to the older effort classification, effort for the first trip started and ended, but there were no observer rotations or notes taken as to what platform the observers were perched on. Given there was quite a bit of seasickness that first day, the only observers likely to be working would have been PE, PO and DD. These observers favoured the Fly Bridge so all sighting effort for the first trip has been allocated to these observers on the Fly Bridge. The subsequent innovations were: observers were not told how far away a potential calling whale was. If, however, the acousticians thought that we were almost upon the animal(s), they will indicate this to the observing team. Acoustic.search == 1 indicates when the acousticians have notified observers that there was a group of blue whales in the area. Local.Search == 1 indicates that after an initial sighting was made, sighting effort and boat movement converted into a search to get closer to the animal(s) in order to confirm their species (not usually such a huge issue with blue whales, admittedly), group size and to get photo-ID. FD == 1 when effort on the foredeck either started or continued. FB == 1 when effort on the fly

11 tagged Blue whales (Balaenoptera musculus) were tracked during the daytime movements as well as the feeding behaviour in the St. Lawrence River estuary. Kernel density was applied to derminate the high density feeding areas of all individuals combined (30, 40, 50, 60, 75, 95 %). Doniol-Valcroze T, Lesage V, Giard J, Michaud R, 2012. Challenges in marine mammal habitat modelling: evidence of multiple foraging habitats from the identification of feeding events in blue whales. Endang Species Res, Vol. 17 : 255–268, doi : 10.3354/esr00427 (English version only)

A modelling analysis conducted by Fisheries and Oceans Canada (DFO) identified these areas as the most suitable habitat for Blue whales: Gulf of St. Lawrence, waters off the southern coast of Newfoundland, the region of Mecatina Trough, the Esquiman Channel and the continental shelf margin off Nova Scotia. They represent important areas for foraging, feeding and socializing for Blue whales. The sources of data used to determine these important areas (by the enclosing boxes method) and the annual and seasonal cycles of Blue whale travel patterns include, but are not limited to, radio and satellite telemetry, passive acoustic monitoring, line-transect aerial surveys, anecdotal reports of observations and modelling. This layer does not represent the general distribution of the Blue whale. Important areas have been identified by reviewing several sources of information and to the best of researchers' knowledge. Several information about Blue whales, their behaviour and habitat use are still unknown. Data is scarce in some areas during winter periods. Observation efforts mostly occur during the summer period, however, data sources can validate their presence during seasons when the observation effort is lower. The Mecatina trough region represents an important area based on historical and non-current data. The presence data per month refers strictly to the information available in the cited research document, and does not express the absence of the species outside the months when a presence was validated. The presented information is valid until the following research survey. Reference: Lesage, V., J.-F. Gosselin, J. W. Lawson, I. McQuinn, H. Moors-Murphy, S. Plourde, R. Sears. and Y. Simard. 2018. Habitats important to blue whales (Balaenoptera musculus) in the Western North Atlantic. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/080: iv + 50 p.

This is a parent record for data collected from AAS project 4102. Project 4102 also follows on from ASAC project 2683, "Passive acoustic monitoring of antarctic marine mammals" (see the related metadata record at the provided URL). Public Summary: Half a century ago the Antarctic blue whale was perilously close to extinction. Over 350,000 were killed before the remaining few were fully protected. A decade ago this elusive and poorly understood species was estimated to be less than 5% of its pre-whaling abundance. This multi-national, circumpolar project will develop and apply powerful new techniques to survey these rare whales and gain an insight into their recovery and ecology. The project is the flagship of the Southern Ocean Research Partnership - an International Whaling Commission endorsed collaborative program.

All photos taken during the two Blue whale voyages undertaken in January and March 2012 in an attempt to get a best photo identification image of pygmy blue whales. Whales from the January voyage are numbered sequentially beginning with 1; whales from the March voyage are numbered sequentially beginning with 101. The folder contains a best left side and a best right side photo of each whale (if available). Identification photos of whales where a dorsal fin was not visible are included only if there was a dorsal fin visible in a good identification photo of the other side of the whale. Photo filenames include the photographer’s initials: CJ = Catriona Johnson DD = Dave Donnelly MD = Mike Double JS = Josh Smith NS = Nat Schmitt PE = Paul Ensor PO = Paula Olson RS = Rob Slade VAG = Virginia Andrews-Goff

The ‘Logger’ data entry system was developed by the International Fund for Animal Welfare (IFAW) and is a flexible system to record information during a voyage. This system was the primary data entry system for the voyage and all events were recorded in Logger’s database. The logger access database contains all data collected throughout the Antarctic blue whale voyage related to: Observer effort (effort status, event, number of observers and locations, ship guide and data logger) Cetacean sightings and resightings (time, sighting number, sighting platform, estimate distance, binocular reticles, angle, species, sighting cue, heading, estimate of number of individuals, observer of sighting, behaviour, pod compaction, comments) Sonobuoy deployments (time, sonobuoy number, notes) Environmental observations (sightability, sea state, swell, weather, cloud cover, visibility, intensity, glare, ice, sea surface temperature) GPS data (time indexed NMEA feed) CTD deployments (time, notes) Biopsy events (time, success, sample number, reaction, attempts, dart recovery, notes)

General distribution of Humpback Whales in the Estuary and Gulf of St. Lawrence based on all identified whales from the entire MICS database (Mingan Island Cetacean Study). Additional information The MICS (Mingan Island Cetacean Study) has been collecting and compiling in a photo-identification catalogue, blue whale (and other type of whales) sightings for the western North Atlantic since 1979. Since 1987, the material and sampling protocol has been being relatively stable, neither random nor systematic. Field work is conducted abord inflatable boats. Because the whole Gulf ot St. Lawrence cannot be thoroughly studied, MCIS conducts surveys in known whale aggregation areas. The spatial effort is also weather dependent and is mainly constrained by wind direction and strength. Therefore, the study area is not homogeneously covered. Each whale observation is associated with a picture that allows individual identification based on the animal's pigmentation pattern. For more details consult the mentionned report: Gagné, J.A., Ouellet, P., Savenkoff, C., Galbraith, P.S., Bui, A.O.V. et Bourassa, M.-N. Éd. 2013. Rapport intégré de l’initiative de recherche écosystémique (IRÉ) de la région du Québec pour le projet : les espèces fourragères responsables de la présence des rorquals dans l’estuaire maritime du Saint-Laurent. Secr. can. de consult. sci. du MPO. Doc. de rech. 2013/086. vi + 181 p.

This dataset contains vessel- and aircraft-based mammal sightings data and associated environmental data collected in the Chukchi and Beaufort seas during the open water season 2006-2010. The aerial data are derived from marine mammal observers aboard aircrafts flown at 1000 ft to 1500 ft. The data contains marine mammal sightings data and associated environmental data collected during the open water season 2006-2010 (excluding 2009) in Chukchi Sea and Beaufort Sea. In addition, this metadata describes aerial navigational GPS data recorded during observations. Data collection methods changed slightly between years. The metadata for each attribute should be studied carefully before these data are used for analyses.

This dataset contains digital data files on transects flown and reported in Harwood, L.A. and P. Norton (1996). Aerial survey data from the southeast Beaufort Sea, Mackenzie River estuary and west. Amundsen Gulf, July 1992. Canadian Data Report of Fisheries and Aquatic Sciences No. 964

The blue whale (Balaenopterus musculus) is a wide-ranging cetacean that can be found in all oceans, inhabiting coastal and oceanic habitats. In the North Atlantic, little is known about blue whale distribution and genetic structure, and if whether animals found in Icelandic waters, the Azores, or Northwest Africa are part of the same population as those from the Northwest Atlantic. In the Northwest Atlantic, seasonal movements of blue whales and habitat use, including the location of breeding and wintering areas, are poorly understood. The behaviour of remotely-monitored animals can be inferred from a time series of location data. This is because animals tend to demonstrate stochasticity in their movement paths as a result of spatial variation in environmental characteristics, such as topography or prey density (Curio 1976; Gardner et al. 1989; Turchin 1991; Wiens et al. 1993). Predators are expected to decrease travel speed and/or increase turning frequency and turning angle when a suitable resource, e.g., food patch, is encountered (Turchin 1991), otherwise known as area-restricted search (ARS). In contrast, animals in transit or travelling tend to move at faster and more regular speeds, with infrequent and smaller turning angles (Kareiva and Odell 1987; Turchin 1998). Based on satellite telemetry to track the seasonal movements of 24 blue whales from eastern Canada in 2002 and from 2010 to 2015, it was possible to estimate trajectories and locations where ARS behaviour of blue whales was inferred at a 4h time interval. To assess blue whale movements and behavior, a Bayesian switching statespace model (SSSM) was applied to Argos-derived telemetry data (Jonsen et al. 2005; Jonsen et al. 2013). An SSSM essentially estimates animal location at fixed time intervals, movement parameters and behavioral patterns. Two important sources of uncertainty can be measured separately: estimation error resulting from inaccurate observations (Argos location error) and process variability linked to the stochasticity of the movement process (behavior mode estimation) (Jonsen et al. 2003; Patterson et al. 2008). The points visible on land are the result of errors in the Argos geographic position calculation. They have been deliberately left unchanged to assess the performance of the model, which was able to clean up some positions, but not all. Lesage, V., Gavrilchuk, K., Andrews, R.D., and Sears, R. 2016. Wintering areas, fall movements and foraging sites of blue whales satellite-tracked in the Western North Atlantic. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/078. v + 38 p.