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FIGURE 9 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 9. Mysticeti stem and familial level diversity through time. "Cetotheriidae s.l." is a paraphyletic group including all taxa that belong to crown Mysticeti but are not grouped with any of the four living families. Dashed vertical lines: black, epoch boundaries; gray, age boundaries.
FIGURE 2 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 2. Anatomical features associated with biting (pierce, grip-and-tear, and crushing) feeding. 1: Crushing in sea otter (Enhydra lutris skull, from Lawlor, 1979), 2: Grip-and-tear in leopard seal (Hydruga leptonyx skull, authors' work), 3: Pierce in Southern sea lion, (Otaria byronia skull, authors' work) and in Amazon river dolphin (Inia geoffrensis skull, authors' work).
FIGURE 12 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 12. Hypothesized ecological replacement of desmostylians (circles) by sirenians (squares) in the North Pacific Ocean. On the top, map of the localities of Tortonian age (11 Ma) where desmostylian and sirenian were recorded. On the bottom, map of the localities of Zanclean age (5 Ma) where sirenians were recorded. Desmostylia disappear from the fossil record by the end of the Tortonian (7.2 Ma) when sirenians, particularly Hydrodamalis spp., start colonizing this region, likely feeding on the same resources. Only one occurrence per genus is reported in each locality. Locality data for each occurrence of Desmostylia and Sirenia in the Tortonian and Zanclean were downloaded from PBDB (https://paleobiodb.org) using the search parameters described in Materials and Methods and then plotted on the map.
Figure 3 in Equity and career-life balance in marine mammal science?
Figure 3. Survey responses from women (yellow) and men (green) in the Society of Marine Mammalogy (including students) showing reactions to the listed statements (from 1 = strongly disagree to 5 = strongly agree). Box plots are shown for median (heaviest color shading and stronger line) and interquartile range with whiskers for minimum and maximum values.
Figure 3 in Checklist of marine tetrapods (reptiles, seabirds, and mammals) of Turkey
Figure 3. Monachus monachus, the single critically endangered marine mammal in Turkey (by Cem Orkun Kıraç/SAD-AFAG).
Fig. 3 in Opportunistic Observations On The Distribution Of Cetaceans In The Malaysian South China, Sulu And Sulawesi Seas And An Updated Checklist Of Marine Mammals In Malaysia
Fig. 3. Map showing the locations of live sightings and strandings of various cetacean species in East Malaysia as listed in the updated checklist in Table 3 (excludes sightings in Fig. 1). Each species' code on the map is according to the two-letter abbreviations listed in Table 3.
FIG. 26 in Non-marine mammals of Togo (West Africa): an annotated checklist
FIG. 26. — Hystrix cristata Linnaeus, 1758 spines at the Marchés aux Fétiches, Lomé. Photograph: Luca Luiselli.
Figure 5 from: Jung J, Alfonsi E, Méheust E, Fuchs S, Carpentier F, Quillivic Y, Viricel A, Hassani S (2013) The use of DNA barcoding to monitor the marine mammal biodiversity along the French Atlantic coast. ZooKeys 365: 5-24. https://doi.org/10.3897/zookeys.365.5873
Figure 5 - Non-metric Multidimensional Scaling plot of K2P-distance between MCR sequences of Stenella coeruleoalba (in blue), Delphinus delphis (in red) and Stenella frontalis (in green). Individuals of each species are clearly clustered together, and unidentified samples (in black) stranded along the coasts of Brittany group with one of the three species. Dd280211A (Ds1), Ds130210 (Ds3), Ds230409 (Ds4), Ds250412 (Ds5) and Sc210910 (Ds6) are putatively identified as Delphinus delphis, whereas Ds080410 (Ds2) would more likely belong to Stenella coeruloalba.
Figure 2 from: Jung J, Alfonsi E, Méheust E, Fuchs S, Carpentier F, Quillivic Y, Viricel A, Hassani S (2013) The use of DNA barcoding to monitor the marine mammal biodiversity along the French Atlantic coast. ZooKeys 365: 5-24. https://doi.org/10.3897/zookeys.365.5873
Figure 2 - Organization of the stranding network in Brittany (North West of France) and localization of the stranded specimens used in this study. Numbers indicate the 18 geographic sections of the stranding network in this area. The map was drawn using ArcGIS Desktop: Release 9.3.1 (Environmental Systems Research Institute, Redlands, CA, USA) with WGS 84 coordinates.
Figure 1 from: Jung J, Alfonsi E, Méheust E, Fuchs S, Carpentier F, Quillivic Y, Viricel A, Hassani S (2013) The use of DNA barcoding to monitor the marine mammal biodiversity along the French Atlantic coast. ZooKeys 365: 5-24. https://doi.org/10.3897/zookeys.365.5873
Figure 1 - Numbers of different species of marine mammals stranded along the coasts of Brittany (North West of France) in the period 2003–2012.
Figure 4 from: Jung J, Alfonsi E, Méheust E, Fuchs S, Carpentier F, Quillivic Y, Viricel A, Hassani S (2013) The use of DNA barcoding to monitor the marine mammal biodiversity along the French Atlantic coast. ZooKeys 365: 5-24. https://doi.org/10.3897/zookeys.365.5873
Figure 4 - Examples of marine mammals stranded along the coasts of Brittany and the species-level identifications of which were determined or confirmed thanks to DNA barcoding. A Sample Ms250511, stranded on the "Île de Sein" during May 2011, and identified as a Balaenoptera physalus B Sample Ds160111, stranded on the Ushant Island during January 2011, and identified as a Grampus griseus C Sample Ds130211, stranded on the Ushant Island in February 2011, and identified as belonging to the Delphininae subfamily (putatively identified as a Delphinus delphis on the nMDS plot in Figure 5) D Sample Ds080410 stranded on the Ushant Island during April 2010, and identified as belonging to the Delphininae (putatively identified as a Stenella coeruleoalba on the nMDS plot in Figure 5).
Figure 3 from: Jung J, Alfonsi E, Méheust E, Fuchs S, Carpentier F, Quillivic Y, Viricel A, Hassani S (2013) The use of DNA barcoding to monitor the marine mammal biodiversity along the French Atlantic coast. ZooKeys 365: 5-24. https://doi.org/10.3897/zookeys.365.5873
Figure 3 - Neighbour-Joining tree of major species of marine mammals, based on K2P-distances calculated from 507 bp of COI. All sequences come from the IMMB project on BOLD, and only 5 harbour porpoise and 5 grey seal samples among those of the IMMB project have been included in the analysis.
Figure 6 from: Jung J, Alfonsi E, Méheust E, Fuchs S, Carpentier F, Quillivic Y, Viricel A, Hassani S (2013) The use of DNA barcoding to monitor the marine mammal biodiversity along the French Atlantic coast. ZooKeys 365: 5-24. https://doi.org/10.3897/zookeys.365.5873
Figure 6 - Haplotype network established from the COI sequences of 45 harbour porpoises stranded along the Atlantic coast of France (Appendix 1). Numbers on a line connecting two haplotypes correspond to the sequence position of the mutation differentiating these haplotypes. Two mitochondrial haplogroups appear (black circles - grey circles), that group the same individuals as the haplogroups alpha and beta determined using MCR polymorphisms and described in Alfonsi et al. (2012).
Data from: Epidemiological models to control the spread of information in marine mammals
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Data from: Movement and seasonal energetics mediate vulnerability to disturbance in marine mammal populations
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Data from: Spatial distribution of fishes in a Northwest Atlantic ecosystem in relation to risk of predation by a marine mammal
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Data from: Foraging and fasting can influence contaminant concentrations in animals: an example with mercury contamination in a free-ranging marine mammal
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Feeding in Marine Mammals: an integration of evolution and ecology through time
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At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - present.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.