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93 results for “marine reptiles”
Fig. 9 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 9. Metatarsals (A−E) and phalanges (F−V) of the plesiosaur Rhomaleosauridae indet. from the Lower Callovian Hlebnovka Formation of "Konnyi barak" ravine, Russia, in?dorsal view. A. SGM 1445-120. B. SGM 1445-115. C. SGM 1445-109. D. SGM 1445-114. E. SGM 1445-20. F. SGM 1445- 118. G. SGM 1445-17. H. SGM 1445-116. I. SGM 1445-112. J. SGM 1445-117. K. SGM 1445-19. L. SGM 1445-111. M. SGM 1445-119. N. SGM 1445-18. O. SGM 1445-113. P. SGM 1445-10. Q. SGM 1445-11. R. SGM 1445-12. S. SGM 1445-14. T. SGM 1445-15. U. SGM 1445-13. V. SGM 1445-16. The arrangement of phalanges is not intended to represent their positions in life.
Fig. 5 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 5. Caudal centra of the plesiosaur Rhomaleosauridae indet. from the Lower Callovian Hlebnovka Formation of "Konnyi barak" ravine, Russia. SGM 1445-106 (A), SGM 1445-105 (B), SGM 1445-104 (C), SGM 1445-102 (D), and SGM 1445-103 (E), in anterior (A1–E1), posterior (A2–E2), dorsal (A3– E3), ventral (A4–E4), left lateral (A5, B5, C6, E6), and right lateral (C5, D5, E5) views.
Fig. 6 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 6. Dorsal rib of the plesiosaur Rhomaleosauridae indet., SGM 1445- 100, from the Lower Callovian Hlebnovka Formation of "Konnyi barak" ravine, Russia, in?anterior (A) and proximal (B) views.
Fig. 2 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 2. Left ilium of the plesiosaur Rhomaleosauridae indet., CAMSM X.50215, from the Callovian Peterborough Member of Fletton, United Kingdom, in lateral (A), posterior (B), medial (C), anterior (D), dorsolateral (E), and dorsomedial (F) views.
Fig. 8 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 8. Portions of the?left pubis (A, B) and ischium (C, D) of the plesiosaur Rhomaleosauridae indet., SGM 1445-97, from the Lower Callovian Hlebnovka Formation of "Konnyi barak" ravine, Russia in lateral (A), dorsal (B), and?dorsal (C, D) views.
Fig. 4 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 4. Dorsal centra of the plesiosaur Rhomaleosauridae indet. from the Lower Callovian Hlebnovka Formation of "Konnyi barak" ravine, Russia. SGM 1445-108 (A) and SGM 1445-107 (B), in anterior (A 1, B 1), posterior (A 2, B 2), dorsal (A 3, B 3), ventral (A 4, B 4), left lateral (A 5), and right lateral (B ) views.
Fig. 7 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 7. Left ilium of the plesiosaur Rhomaleosauridae indet., SGM 1445-99, from the Lower Callovian Hlebnovka Formation of "Konnyi barak" ravine, Russia, in lateral (A), posterior (B), medial (C), anterior (D), and ventral (E) views.
Fig. 3 in Youngest occurrences of rhomaleosaurid plesiosaurs indicate survival of an archaic marine reptile clade at high palaeolatitudes
Fig. 3. Left ischium of the plesiosaur Rhomaleosauridae indet., CAMSM X.50215, from the Callovian Peterborough Member of Fletton, United Kingdom, in dorsal view (articulated with left ilium) (A), and ventral (B), lateral (C), dorsomedial (D), and anterior (E) views.
Data associated with: Global ecomorphological restructuring of dominant marine reptiles prior to the K/Pg mass extinction
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Figure 2 in Checklist of marine tetrapods (reptiles, seabirds, and mammals) of Turkey
Figure 2. Map showing the distribution of marine mammal diversity along Turkish coasts.
Figure 1 in Checklist of marine tetrapods (reptiles, seabirds, and mammals) of Turkey
Figure 1. Larus argentatus individual observed at Samsun Harbor (by Nizamettin Yavuz).
Fig. 9 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 9. The Zarudnyi Worm Lizard, Diplometopon zarudnyi. Photos by A. Aloufi.
Fig. 2 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 2. Ad Disah mountains, southwest Tabuk. Photo by S. Al Jathli.
Fig. 1 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 1. Map of Saudi Arabia showing main geographic landmarks (after Al-Nafie 2018).
Fig. 4 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 4. Phytogeographical regions of Saudi Arabia (after Al-Nafie 2008).
Fig. 1 in Filling the Corallian gap: New information on Late Jurassic marine reptile faunas from England
Fig. 1. Palaeogeographical map of Mid-Oxfordian in the UK (from Bradshaw et al. 1992 and Coe 1995).
Fig. 15 in Filling the Corallian gap: New information on Late Jurassic marine reptile faunas from England
Fig. 15. Jurassic Sub-Boreal Seaway marine reptile species count.
Predicting body length and assessing the shape of tail-propelled Mesozoic marine reptiles
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Supplementary data from: Reassessment of body temperature and thermoregulation strategies in Mesozoic marine reptiles
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Data from: Palaeoepidemiology in extinct vertebrate populations: factors influencing skeletal health in Jurassic marine reptiles
Palaeoepidemiological studies related to palaeoecology are rare, but have the potential to provide information regarding ecosystem-level characteristics by measuring individual health. In order to assess factors underlying the prevalence of pathologies in large marine vertebrates, we surveyed ichthyosaurs (Mesozoic marine reptiles) from the Posidonienschiefer Formation (Early Jurassic: Toarcian) of Southwestern Germany. This Formation provides a relatively large sample from a geologically and geographically restricted interval, making it ideal for generating baseline data for a palaeoepidemiological survey. We examined the influence of taxon, anatomical region, body size, ontogeny, and environmental change, as represented by the early Toarcian Oceanic Anoxic Event, on the prevalence of pathologies, based on a priori ideas of factors influencing population skeletal health. Our results show that the incidence of pathologies is dependent on taxon, with the small-bodied genus Stenopterygius exhibiting fewer skeletal pathologies than other genera. Within Stenopterygius, we detected more pathologies in large adults than in smaller size classes. Stratigraphic horizon, a proxy for palaeoenvironmental change, did not influence the incidence of pathologies in Stenopterygius. Quantification of the occurrence of pathologies within taxa and across guilds is critical to constructing more detailed hypotheses regarding changes in the prevalence of skeletal injury and disease through Earth history.
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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.