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Text-fig. 4. Dorsal view of endocranium of a Devonian osteolepiform (Eusthenopteron foordi). Derivatives of the teniform cartilages blue (cf. fig. 7 in Bjerring 2015). ab: anterolateral bar of otico-occipital (Jarvik 1954) which corresponds to the orbitoparietal commissure of the armadillo; rfsa: endoskeleton above the supra-auditive fossa which corresponds to the parietal lamina of the armadillo; tn: tectum nasi; to: tectum orbitae which corresponds to the orbital cartilage and the orbitonasal commissure of the armadillo. in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 4. Dorsal view of endocranium of a Devonian osteolepiform (Eusthenopteron foordi). Derivatives of the teniform cartilages blue (cf. fig. 7 in Bjerring 2015). ab: anterolateral bar of otico-occipital (Jarvik 1954) which corresponds to the orbitoparietal commissure of the armadillo; rfsa: endoskeleton above the supra-auditive fossa which corresponds to the parietal lamina of the armadillo; tn: tectum nasi; to: tectum orbitae which corresponds to the orbital cartilage and the orbitonasal commissure of the armadillo.
Text-fig. 5. Dorsal view of endocranium of 93 mm human fetus. Derivatives of the teniform cartilages blue. con: orbitonasal commissure; lp: parietal lamina; oc: orbital cartilage; rco: remnants of orbitoparietal commissure. (Modified from Reinbach 1963; cf. Bersch and Reinbach 1970.) in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 5. Dorsal view of endocranium of 93 mm human fetus. Derivatives of the teniform cartilages blue. con: orbitonasal commissure; lp: parietal lamina; oc: orbital cartilage; rco: remnants of orbitoparietal commissure. (Modified from Reinbach 1963; cf. Bersch and Reinbach 1970.)
Text-fig. 3. Dorsal view of endocranium of armadillo (Dasypus novemcinctus); some dermal allostoses from the right side are included. Derivatives of the teniform cartilage blue. co: orbitoparietal commissure; con: sphenethmoidal (orbitonasal) commissure; ctn: cartilago tecti nasi; lp: parietal lamina; oc: orbital cartilage (ala orbitalis); po: parieto-occipital commissure. (Modified from Reinbach 1952.) in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 3. Dorsal view of endocranium of armadillo (Dasypus novemcinctus); some dermal allostoses from the right side are included. Derivatives of the teniform cartilage blue. co: orbitoparietal commissure; con: sphenethmoidal (orbitonasal) commissure; ctn: cartilago tecti nasi; lp: parietal lamina; oc: orbital cartilage (ala orbitalis); po: parieto-occipital commissure. (Modified from Reinbach 1952.)
Text-fig. 2. Dorsal view of endocranium of a 31 mm sand lizard (Lacerta agilis). Derivatives of the teniform cartilages blue. cp: cartilago parietectalis (cartilago tecti nasi); cs: sphenethmoidal commissure; tm: taenia marginalis. (Modified from Gaupp 1900.) in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 2. Dorsal view of endocranium of a 31 mm sand lizard (Lacerta agilis). Derivatives of the teniform cartilages blue. cp: cartilago parietectalis (cartilago tecti nasi); cs: sphenethmoidal commissure; tm: taenia marginalis. (Modified from Gaupp 1900.)
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element. in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element.
Fig. 2 in Temporal variation in fish composition and abundance in a perennial tributary of the rio Paraguaçu, a little-known drainage in the Brazilian semi-arid region
Fig. 2. Canonical correspondence analysis ordination diagram of fish abundance data, with environmental variables, for the rainy period (November to March) and the dry period (April to October). G = Gillnet; C = Cast seine.
Fig. 1 in Temporal variation in fish composition and abundance in a perennial tributary of the rio Paraguaçu, a little-known drainage in the Brazilian semi-arid region
Fig. 1. Geographical location of the rio Paraguaçu drainage and of the sampling stretch in the rio Santo Antônio (black dot).
Fig. 2 in Assessing diet composition of seahorses in the wild using a non destructive method: Hippocampus reidi (Teleostei: Syngnathidae) as a study-case
Fig. 2. Feeding strategy diagram. Prey-specific abundance plotted against frequency of occurrence of prey items in the diet of the seahorse Hippocampus reidi (n = 280). Prey items: 1. Nematoda, 2. Copepoda, (Harpacticoida), 3. Caridae, 4. Copepoda (nauplii), 5. Copepoda (Calanoida), 6. Copepoda (Cyclopoida), 7. Caridae (chelipods), 8. Teleostei (Gobiidae), 9. Insecta (Hymenoptera), 10. Amphipoda (Gammaridae), 11. Teleostei (scales), 12. Polichaeta (larvae), 13. Amphipoda (Caprellidae), 14. Ostracoda, 15. Eggs (possibly of mollusks or crustaceans), 16. Polichaeta (Nereididae), 17. Brachyura (nauplii), 18. Insecta (Chironomidae), 19. Crustacea (larvae), 20. Gastropoda (larvae), 21. Bivalvia (larvae), 22. Caridae (zoea), 23. Isopoda, 24. Oligochaeta, 25. Foraminifera.
Fig. 1 in Assessing diet composition of seahorses in the wild using a non destructive method: Hippocampus reidi (Teleostei: Syngnathidae) as a study-case
Fig. 1. Mean values of induction (square) and recovery (lozenge) times of Hippocampus reidi (n = 242) in seconds (box = standard error; whisker = standard deviation). Reproduc- tive state: IM = immature, OF = ovipositor region flat, OB = ovipositor region bulging, B = brooding, NB = non-brooding. Sex: U = undetermined, F = female, M = male.
Fig. 1 in Effects of tourist visitation and supplementary feeding on fish assemblage composition on a tropical reef in the Southwestern Atlantic
Fig. 1. Non-Metric Multi-Dimensional Scaling (MDS) plot of fish assemblages samples of the Picãozinho reef in each of the two studied situations. Dark triangles = PT (presence of tourists) and light triangles = AT (absence of tourists).
Fig. 5 in Size composition, monthly condition factor and morphometrics for fishery-dependent samples of Rioraja agassizi (Chondrichthyes: Rajidae), off Santos, Southeast Brazil
Fig. 5. Relationships between total (black symbols) and gutted weight (g) (grey symbols) for male (above) and females (below) of Rioraja agassizi.
Fig. 2 in Size composition, monthly condition factor and morphometrics for fishery-dependent samples of Rioraja agassizi (Chondrichthyes: Rajidae), off Santos, Southeast Brazil
Fig. 2. Maps of Southeast Brazil, showing the fishing hauls by month, conducted by a total of eight fishing vessels. Symbols represent the fishing hauls from where samples of Rioraja agassizi were collected (dotted circles), or when this information was not available, the total hauls recorded by the skippers (crosses).
Fig. 6 in Size composition, monthly condition factor and morphometrics for fishery-dependent samples of Rioraja agassizi (Chondrichthyes: Rajidae), off Santos, Southeast Brazil
Fig. 6. Median condition factor by month (from March, 2005 to March, 2006) considering total (black line) and gutted weight (g) (grey line) for males (above) and females (below) of Rioraja agassizi. Vertical bars represent the data interval.
Fig. 4 in Size composition, monthly condition factor and morphometrics for fishery-dependent samples of Rioraja agassizi (Chondrichthyes: Rajidae), off Santos, Southeast Brazil
Fig. 4. Relationship of disc width (cm) as a dependent variable of total length (cm) for males (black symbols) and females (grey symbols) of Rioraja agassizi.
Fig. 1 in Size composition, monthly condition factor and morphometrics for fishery-dependent samples of Rioraja agassizi (Chondrichthyes: Rajidae), off Santos, Southeast Brazil
Fig. 1. Map of the study area, southeast Brazil, south-western Atlantic Ocean. Symbols represent all the fishing hauls from where samples of Rioraja agassizi were collected.
Fig. 1 in Astyanax paranae Eigenmann, 1914 (Characiformes: Characidae) in the Alagados Reservoir, Paraná, Brazil: diet composition and variation
Fig. 1. Localization and morphometry of Alagados Reservoir, Paraná, Brazil, depicting sample sites: a=riverine zone; b=lacustrine zone.
Fig. 3 in Astyanax paranae Eigenmann, 1914 (Characiformes: Characidae) in the Alagados Reservoir, Paraná, Brazil: diet composition and variation
Fig. 3. Average values (± standart error) of the axes scores from DCA ordination of Astyanax paranae's stomach contents volume among sampling years (a), sampling months (b), sampling sites (c) and specimens sex (d) in Alagados Reservoir, Paraná, Brazil.
Fig. 2 in Astyanax paranae Eigenmann, 1914 (Characiformes: Characidae) in the Alagados Reservoir, Paraná, Brazil: diet composition and variation
Fig. 2. Volumetric proportion of food resources consumed by Astyanax paranae in Alagados Reservoir, Paraná, Brazil, among sampling years (a), sampling months (b), sampling sites (c) and specimens sex (d). dtsd=detritus/sediment; plmt=plant matter; alga=algae; aqis= aquatic insects; oaqi=other aquatic invertebrates; tris=terrestrial insects; rtin=rests of insects. The number of specimens considered in each analysis are indicated in parenthesis in the legends.
Fig. 1 in Diet composition and feeding strategy of the southern pipefish Syngnathus folletti in a Widgeon grass bed of the Patos Lagoon Estuary, RS, Brazil
Fig. 1. Relationship between mouth gape (a) and prey size (b) with total length (in mm) of female (open circles) and male (dots) individuals of the southern pipefish Syngnathus folletti.
Fig. 3 in Diet composition and feeding strategy of the southern pipefish Syngnathus folletti in a Widgeon grass bed of the Patos Lagoon Estuary, RS, Brazil
Fig. 3. Conceptual diagram showing the microhabitat distribution within the Widgeon grass bed of some benthic macroinvertebrates consumed by Syngnathus folletti. Gastropoda: 1. Heleobia australis; Tanaidacea: 2. Kalliapseudes schubartii, 3. Tanais stanfordi; Isopoda: 4. Dies fluminensis, 5. Uromunna peterseni; Amphipoda: 6. Mellita mangrovi.
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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.