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181 results for “diet composition”
Figure 2 in Diet composition of two sympatric snappers Lutjanus synagris and Ocyurus chrysurus from the north continental shelf of Yucatan, Mexico
Figure 2. – Diet composition of Lutjanus synagris and Ocyurus chrysurus specimens from the north continental shelf of the Yucatan Peninsula. Angle of sector are proportional to Q (Hureau's coefficient; Q value is given in parentheses), and radius is proportional to %F (frequency of occurrence). n1 = total number of fish collect- ed; n2 = number of fish with stomach contents; FL = fork length of fish with stomach contents.
FIGURE 3 in Comparative analysis of the diet composition and its relation to morphological characteristics in Achirus mazatlanus and Syacium ovale (Pleuronectiformes: Osteichthyes) from a Mexican Pacific coastal lagoon
FIGURE 3 | Representation of selected food categories in groups defined by combinations of species and size groups. Diameters of circles proportional to square roots of percentage in weight. Am: Achirus mazatlanus; So: Syacium ovale; Numbers indicate size classes: 1 for LT <10 cm; 2 for LT ≥ 10 cm and LT ≤ 15 cm; 3 for LT> 15 cm.
FIGURE 2 in Comparative analysis of the diet composition and its relation to morphological characteristics in Achirus mazatlanus and Syacium ovale (Pleuronectiformes: Osteichthyes) from a Mexican Pacific coastal lagoon
FIGURE 2 | A. Dendrogram showing the result of numerical classification of stomach contents. B. Principal coordinate analysis plot. Vector overlay shows food categories with Spearman's correlation values of 0.5 or higher with ordination axes. Data pooled by species (Am: Achirus mazatlanus; So: Syacium ovale) and size classes (1 for LT <10 cm; 2 for LT ≥ 10 cm and LT ≤ 15 cm; 3 for LT> 15 cm).
Fig. 1 in Quantitative And Qualitative Composition Of Diet Of The Ural Owl, Strix Uralensi (Strigidae, Strigiformes), In The Central Part Of European Russia (The Example Of The Republic Of Mordovia)
Fig. 1. The maximum number of different elements of the skeleton of rodents in pellets Ural Owl in Mordovia (n = 146 pellets)
Figure 3 in Seasonal pattern of population dynamics, spawning activities, and diet composition of sardine (Sardina pilchardus Walbaum) in the eastern Adriatic Sea
Figure 3. Alternations of the mean monthly gonadosomatic index (GSI) and values of gonad masses (Wg, g) in sardines collected by commercial purse seiners during 2013 (February–November 2013) on Croatian fishing grounds.
Figure 4 in Diet composition affects the rearing of Mansonia humeralis (Diptera: Culicidae) immatures under laboratory conditions
Figure 4 Emergence rate (A) and male to female ratio (B) of Mansonia humeralis reared with different diets. Legend: DF: diluted fish food; DSF: diluted and sprinkled fish food, and DSYF: diluted fish food, sprinkled fish food and yeast. NS= No significant statistical differences (P>0.05).
Figure 2 in Diet composition affects the rearing of Mansonia humeralis (Diptera: Culicidae) immatures under laboratory conditions
Figure 2 Larval development of Mansonia humeralis reared with different diets. Legend: DF: diluted fish food; DSF: diluted and sprinkled fish food, and DSYF: diluted fish food, sprinkled fish food and yeast. Different letters indicate significant differences (P<0.05) between diets.
Figure 5 in Diet composition affects the rearing of Mansonia humeralis (Diptera: Culicidae) immatures under laboratory conditions
Figure 5 Number of females that laid eggs (A) and number of eggs laid (B) by Mansonia humeralis emerged from larvae reared with different diets. Legend: DF: diluted fish food; DSF: diluted and sprinkled fish food, and DSYF: diluted fish food, sprinkled fish food and yeast. * Indicate significant differences between diets. NS= no significant statistical differences (P<0.05) between diets
Figure 1 in Diet composition affects the rearing of Mansonia humeralis (Diptera: Culicidae) immatures under laboratory conditions
Figure 1 Larval mortality rate ofMansonia humeralis reared with different diets. Legend: DF: diluted fish food; DSF: diluted and sprinkled fish food, and DSYF:diluted fish food, sprinkled fish food and yeast. Different letters indicate significant differences (P<0.05) between the observation intervals regardless of the treatment. Different numbers indicate significant differences (P<0.05) between diets.
Figure 3 in Diet composition affects the rearing of Mansonia humeralis (Diptera: Culicidae) immatures under laboratory conditions
Figure 3 Pupation rate of Mansonia humeralis reared with different diets. Legend: DF: diluted fish food; DSF: diluted and sprinkled fish food, and DSYF: diluted fish food, sprinkled fish food and yeast. Different letters indicate significant differences (P<0.05) between diets.
Figure 1 in Efficiency of pitfall traps and snap traps in small terrestrial mammals depends on their diet composition
Figure 1. RDA biplot (first two axes) summarizing the effect of sampling method (triangles) on community composition (arrows) of small mammals. The first two eigenvalues were 0.23 and 0.36, respectively.
Figure 2 in Diet composition, guild structure and trophic relationships of wintering birds of prey in an estuarine wetland (The Evros Delta National Park, Greece)
Figure 2. Cluster analysis (dendrogram) based on the biomass proportions of the diets of the seven species of birds of prey studied in Evros Delta.
Figure 1 in Diet composition, guild structure and trophic relationships of wintering birds of prey in an estuarine wetland (The Evros Delta National Park, Greece)
Figure 1. Diet compiled for the most important prey taxa of the seven species of birds of prey studied in the Evros Delta, a) by biomass (upper graph) and b) by numbers (lower graph) (Shannon index/Evenness are shown below each species name).
Fig. 1 in Diet composition and feeding habits of the eyespot skate, Atlantoraja cyclophora (Elasmobranchii: Arhynchobatidae), off Uruguay and northern Argentina
Fig. 1. Study area showing the location of trawl stations (black dots) and cells of the fishing grid (black rectangles) where individuals of Atlantoraja cyclophora were captured off North Argentina and Uruguay.
Fig. 4 in Diet composition and feeding habits of the eyespot skate, Atlantoraja cyclophora (Elasmobranchii: Arhynchobatidae), off Uruguay and northern Argentina
Fig. 4. Mean number of shrimps and teleosts consumed for Atlantoraja cyclophora from off Uruguay and northern Argentina by season and region, respectively.
Fig. 3 in Diet composition and feeding habits of the eyespot skate, Atlantoraja cyclophora (Elasmobranchii: Arhynchobatidae), off Uruguay and northern Argentina
Fig. 3. Changes in consumption of different prey with body size, maturity stage, season and region of Atlantoraja cyclophora from off Uruguay and northern Argentina estimated by generalized linear models for number of shrimps, crabs and teleosts. In shrimps: warm season with solid lines and open circles; cold season with dashed lines and solid circles. In teleosts: north region with solid lines and open circles; south region with dashed lines and solid circles.
Fig. 2 in Diet composition and feeding habits of the eyespot skate, Atlantoraja cyclophora (Elasmobranchii: Arhynchobatidae), off Uruguay and northern Argentina
Fig. 2. Cumulative mean Shannon diversity index as a function of sample size for prey of Atlantoraja cyclophora from off Uruguay and northern Argentina. Dashed lines indicate standard deviation.
Fig. 5 in Diet composition and feeding habits of the eyespot skate, Atlantoraja cyclophora (Elasmobranchii: Arhynchobatidae), off Uruguay and northern Argentina
Fig. 5. Quantile regressions of carapace width (CW) of crabs, cephalothorax length (CL) of shrimps and total length (TL) of teleosts and total length of Atlantoraja cyclophora. The solid, dashed and dotted lines are 5%, 50% and 95% quantile regressions, respectively.
Dataset for "Diets supplemented with Saccharina latissima influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (Oncorhynchus mykiss) fillet composition" (doi.org/10.1016/j.fct.2020.111332)
<p>Dataset corresponding to the following article:</p> <p>Ferreira, M., Larsen, B.K., Granby, K., Cunha, S.C., Monteiro, C., Fernandes, J.O., Nunes, M.L., Marques, A., Dias, J., Cunha, I., Castro, L.F.C., Valente, L.M.P., 2020. Diets supplemented with <em>Saccharina latissima </em>influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (<em>Oncorhynchus mykiss</em>) fillet composition. Food Chem. Toxicol. 140, 111332. <a href="https://doi.org/10.1016/j.fct.2020.111332">https://doi.org/10.1016/j.fct.2020.111332</a></p>
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.
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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)
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DANDI Archive for NWB datasets
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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.