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This file contains information on ethical approvals for the tagged birds, mixed model results of interaction between wingbeat amplitude, frequency and airspeed for tropic birds and the effect of sampling frequency on the estimation of acceleration signal amplitude for the manuscript "The role of wingbeat frequency and amplitude in flight power" published in the Journal of Royal Society Interface.

Additional file 3: Figure S3. Example of a co-occurrence of behavioral modes for female seabirdswith the 3rd best score. The correlated behavioral modes are thebehavioral mode of multiple dives number of dives per minute andthe high-speed mode from the 15th learned feature. The upper mapsshow bird trajectories. The dashed gray lines in the map show thecoastlines, the blue line shows the trajectory, and the red segmentsrepresent identified behavioral modes. The lower graphs show timeseries of features, and the red segments show the identifiedbehavioral modes.

Additional file 1. Supplementary figures and dead-reckoning formulae.

Additional file 2: Figure S2. Example of a co-occurrence of behavioral modes for male seabirdswith the 2nd best score. The correlated behavioral modes are thebehavioral mode of frequent dives (between 10 and 14 times perhour) from number of dives per hour and the daytime mode(10:00--17:00 in local time) from timestamp. The upper maps showbird trajectories. The dashed gray lines in the map show thecoastlines, the blue line shows the trajectory, and the red segmentsrepresent identified behavioral modes. The lower graphs show timeseries of features, and the red segments show the identifiedbehavioral modes.

Additional file 4: Figure S4. Example of a co-occurrence of behavioral modes for male seabirdswith the 3rd best score. The correlated behavioral modes are thebehavioral mode of multiple dives number of dives per minute andthe high-speed mode from the 15th learned feature. The upper mapsshow bird trajectories. The dashed gray lines in the map show thecoastlines, the blue line shows the trajectory, and the red segmentsrepresent identified behavioral modes. The lower graphs show timeseries of features, and the red segments show the identifiedbehavioral modes.

Additional file 5: Figure S5. Ratio of multiple dives between male and female seabirds per hour.

Additional file 1: Figure S1. Example of a co-occurrence of behavioral modes for female seabirdswith the 2nd best score. The correlated behavioral modes are thebehavioral mode of frequent dives (between 10 and 14 times perhour) from number of dives per hour and the daytime mode(10:00--17:00 in local time) from timestamp. The upper maps showbird trajectories. The dashed gray lines in the map show thecoastlines, the blue line shows the trajectory, and the red segmentsrepresent identified behavioral modes. The lower graphs show timeseries of features, and the red segments show the identifiedbehavioral modes.

The acoustic performance and behaviour of free-ranging cetaceans requires investigation under natural conditions to understand how wild animals use sound. This is also useful to develop quantitative evaluation techniques for passive acoustic monitoring. There have been limited studies on the acoustics of the Indo-Pacific humpback dolphin; nevertheless, this species is of particular concern because of the anthropogenic activity in the coastal habitats. In the present study, we used a four-hydrophone array to estimate the apparent source levels (ASLs) of biosonar sequences (click trains), of this species in San-Niang Bay, China. As the dolphins approached the array, 173 click trains were found to meet the criteria of on-axis sounds produced within 60 m of the equipment. In total, 121 unclipped click trains were used for the ASL estimation. The qualified click trains contained 36.3 ± 32.5 clicks, lasting for 1.5 ± 1.5 s, with average inter-click intervals (ICIs) of 51.2 ± 38.3 ms. Average ICIs showed a bimodal distribution, with a cut-off at 20 ms. Short-range click trains, with short ICIs of, Published online: 04 March 2014

Between 25-30 November 2013, 2014 and 2015, miniaturized video cameras were attached to Magellanic Penguins (Spheniscus magellanicus; n = 14) in Punta Norte/San Lorenzo, Península Valdés, Chubut, Argentina. The objective was to examine prey selection, consumption of untraceable prey, and inter- and intraspecific interactions. During 56.3 hr of video footage, 1,621 dives from 14 individuals were recorded. Magellanic Penguins swam through shoals of lobster krill (Munida gregaria morph subrugosa), selectively consuming the fish, primarily anchovies (Engraulis anchoita), that were dispersed along the shoal, but did not consume the lobster krill. Magellanic Penguins captured fish on dives of less than 2 m in depth. The tagged individuals foraged with conspecifics in 2% (n = 33) of the total recorded dives. In addition, a multispecies feeding association was also documented (n = 1). Results were constrained to the upper 40 m of the water column; below this depth light level was too low for detections by video. The development of cameras with a light source and wider-angle lens are crucial to improve our understanding of Magellanic Penguin foraging behavior. Fil: Gómez Laich, Agustina Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Yoda, Ken. Nagoya University; Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina