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2,819 results for “eggs”
Fig. 43–48 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 43–48. Eggs of Bryophilinae, Cryphia fraudatricula: 43–45 — micropylar area; 46 — sculpture of egg chorion; 47 — each of tubercles is surrounded by same 6–7 tubercles; 48 — single tubercle. Scale bars 10 µm.
Fig. 37–42 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 37–42. Eggs of Condicinae: 37–38 — Eucarta amethystina; eggs of Bryophilinae: 39–42 — Cryphia fraudatricula. Scale bars: 39–41 — 100 µm; 37–38, 42 — 10 µm.
Fig. 31–36 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 31–36. Eggs of Heliothinae: 31–32 — Heliothis maritima; 33–35 — Helicoverpa armigera; eggs of Condicinae: 36 — Eucarta amethystina. Scale bars: 33, 36 — 100 µm. 31, 32, 34–35 — 10 µm.
Fig. 25–30 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 25–30. Eggs of Cuculliinae: 25–27 — Cucullia xeranthemi; 28 — Cucullia umbratica; eggs of Heliothinae: 29, 30 — Heliothis maritima. Scale bars: 25, 29 — 100 µm; 26–28, 30 — 10 µm.
Fig. 19–24 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 19–24. Eggs of Metoponiinae: 19, 20 — Tyta luctuosa; eggs of Cuculliinae: 21–24 — Cucullia xeranthemi. Scale bars: 21 — 100 µm; 19, 20, 22, 23 — 10 µm; 24 — 1.0 µm.
Fig. 13–18 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 13–18. Eggs of Acronictinae: 13–16 — Craniophora ligustri; eggs of Metoponiinae: 17, 18 — Tyta luctuosa. Scale bars: 13, 14, 16–18 — 100 µm; 15 — 10 µm.
Fig. 7–12 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 7–12. Eggs of Acronictinae: 7 — Acronicta megacephala; 8–11 — Acronicta rumicis; 12 — Craniophora ligustri. Scale bars: 8, 10, 12 — 100 µm; 7, 9, 11 — 10 µm.
Fig. 1–6 in Egg Morphology Of Some Noctuidae (Lepidoptera)
Fig. 1–6. Eggs of Acronictinae: Acronicta megacephala. Scale bars: 1, 4 — 100 µm; 2, 3, 5, 6 — 10 µm.
Fig. 1–6 in Egg Morphology Of Some Nolidae And Erebidae (Lepidoptera, Noctuoidea)
Fig. 1–6. Eggs of Nolidae, Chloephorinae: 1–5 — Pseudoips prasinana. Eggs of Erebidae, Hermeniinae: 6 — Pechipogo strigilata. Scale bars: 1, 3, 6 — 100 µm; 2, 5 — 1000 µm; 4 — 10 µm.
Female reproductive fluid increases the opportunities for post-mating sexual selection by prolonging egg fertilization window
<p>Female reproductive fluid, the fluid that surrounds the eggs, has attracted increasing attention for its role in fertilization and post-mating sexual selection through its effects on sperm traits. Surprisingly, however, only a few studies have investigated the effects of female reproductive fluid on the eggs. Yet, these effects might offer great potential to affect fertilization dynamics by, for example, increasing the opportunities for post-mating sexual selection. Here, we determined whether, by extending the egg fertilization window (time available for egg fertilization), the female reproductive fluid could also increase the opportunities for multiple paternity. Using the Zebrafish Danio rerio we first tested the prediction that female reproductive fluid increases the egg fertilization window, and then, using a split-brood design with sperm of two males added at different times after eggs activation, we tested whether the degree of multiple paternity varies in presence or absence of female reproductive fluid. Our results reveal the potential of the female reproductive fluid to increase multiple paternity throughout its effects on the egg fertilization window thus broadening our knowledge of the mechanisms females in externally fertilizing species affect post-mating sexual selection.</p>
Visual complexity of egg patterns predicts egg rejection according to Weber's law
<p>Visual complexity is ubiquitous in nature. Drivers of complexity include selection in coevolutionary arms races between antagonists. However, the causes and consequences of biological complexity and its perception are largely understudied, partly because complexity is difficult to quantify. Here, we address this by studying egg pattern complexity and its perception in hosts (tawny-flanked prinia <em>Prinia subflava</em> ), which visually recognize and reject mimetic eggs of their virulent brood parasite (cuckoo finch <em>Anomalospiza imberbis</em> ). Using field data and an optimization algorithm, we compute a complexity metric which predicts rejection of experimentally placed conspecific eggs in prinia nests. Real cuckoo finch eggs exhibit significantly lower pattern complexity than prinia eggs, suggesting that high complexity benefits hosts because it distinguishes host eggs from parasitic eggs. We show that prinias perceive complexity differences according to Weber's law of proportional processing (i.e. relative, rather than absolute, differences between stimuli are processed in discrimination, such that two eggs with simple patterns are more easily discriminable than two with complex patterns). This may influence coevolutionary trajectories of hosts and parasites. The new methods presented for quantifying complexity and its perception can help us to understand selection pressures driving the evolution of complexity and its consequences for species interactions.</p>
Long-term observation of the egg and chick size in the nests of Larus ichthyaetus in Lake Chany,West Siberia, Russia
<p>Data on long-term observation and morphological study of the eggs of the great black-headed gull<em> Larus ichthyaetus </em>in the nesting colonies of gulls on islands of Lake Chany. Russia. Data on long-term observation and morphological study of the eggs (Data S1) and chick (Data S2) of the great black-headed gull<em> Larus ichthyaetus </em>in the nesting colonies of gulls on islands of Lake Chany, Russia</p> <p> </p> <p><strong>Abstract </strong></p> <p>This data set describes the long-term observation and morphological study of the eggs of the great black-headed gull Larus ichthyaetus in the gull nesting colonies on the islands of Lake Chany. Lake Chany is located in the Baraba forest-steppe of the West Siberian Plain, Russia, between the Ob and Irtish rivers. Lake Chany is protected by the Ramsar Convention on the Wetlands of International Importance, indicating that the lake is an important site for migratory birds, including L. ichthyaetus. This dataset contains the size and fate of all eggs, as well as the size of hatched chicks in 1164 observed L. ichthyaetus nests from 1993 to 2003.</p>
VINDICTA project, Practice 3, egg masses photo survey, code ENGA22060401
<p>ENGA22060401</p>
Unpublished data on predation on leaf beetle eggs in willow bushes
<p>The data were collected during field experiments in 2012 and 2014 in the Uppsala area, Sweden. I neither found the time nor research funding to use the data in a scientific publication or otherwise.</p> <p>In both field seasons the predation on leaf beetle eggs on willow bushes/plants was measured. Additionally, in 2012 the insect diversity on the bushes was sampled.</p>
Fig. 1 in Natural And Artificial Scents Do Not Increase Egg Rejection Rates Of Model Brood Parasitic Eggs By American Robins (Turdus Migratorius)
Fig. 1. Experimental clutches of American Robins, each with a robin-blue (mimetic; left) or a deep-blue (non-mimetic; right) model egg 3D printed in the size, shape, and weight of
Figs 21–24 in A new species of Anastatus (Hymenoptera: Eulpelmidae) from China, parasitizing eggs of Lycorma delicatula (Homoptera: Fulgoridae)
Figs 21–24. Anastatus orientalis Yang & Choi, sp. nov., ♂, naturally dried specimens. 21. Head, mesosoma and basal part of metasoma, dorsal view. 22. Head and mesosoma, lateral view. 23. Propodeum and metasoma, dorsal view. 24. Apex of fore tibia (left) and mid leg (right) with enlarged apexes of fore and mid tibiae.
Figs 16–20 in A new species of Anastatus (Hymenoptera: Eulpelmidae) from China, parasitizing eggs of Lycorma delicatula (Homoptera: Fulgoridae)
Figs 16–20. Anastatus orientalis Yang & Choi, sp. nov., ♀, naturally dried specimens. 16. Fore leg, anterior side view. 17. Apex of mid tibia and tarsus, posterior side view (showing the pegs on tarsal segment 1–4). 18. Apex of mid tibia and tarsus, anterior side view (showing the pegs on apex of tibia and on tarsal segment 1–4). 19. Hind leg, anterior side view. 20. Posterior part of mesosoma and metasoma, dorsal view.
Figs 5–9 in A new species of Anastatus (Hymenoptera: Eulpelmidae) from China, parasitizing eggs of Lycorma delicatula (Homoptera: Fulgoridae)
Figs 5–9. Anastatus orientalis Yang & Choi, sp. nov., ♀. 5. Head, frontal view, critical-point dried specimens. 6. Head and mesosoma, dorsal view, naturally dried specimen. 7. Mesosoma and basal part of metasoma, dorsal view, critical-point dried specimens. 8. Mesosoma, lateral view, fresh specimen. 9. Head and mesosoma, ventral view, critical-point dried specimens.
Figs 1–4 in A new species of Anastatus (Hymenoptera: Eulpelmidae) from China, parasitizing eggs of Lycorma delicatula (Homoptera: Fulgoridae)
Figs 1–4. Anastatus orientalis Yang & Choi, sp. nov., fresh specimens. 1. ♀, whole body, dorsal view. 2. ♀, whole body, lateral view. 3. ♂, whole body, dorsal view. 4. ♂, whole body, lateral view.
Figs 25–28 in A new species of Anastatus (Hymenoptera: Eulpelmidae) from China, parasitizing eggs of Lycorma delicatula (Homoptera: Fulgoridae)
Figs 25–28. Egg mass of Lycorma delicatula. 25. Egg mass of L. delicatula with newly hatched nymphae and the emerged holes of Anastatus orientalis Yang & Choi, sp. nov. A. The emerged hole of the parasitoid adult. B. The newly hatched nympha of L. delicatula. C. The egg-lid and moult of newly hatched nympha of L. delicatula. 26. Parasitized eggs with emerged holes of the parasitoid adults and the newly emerged adults of A. orientalis Yang & Choi, sp. nov. A. The emerged hole of the parasitoid adult. B. The un-parasitized egg with hatched hole of nympha of L. delicatula. C. The newly emerged adult of A. orientalis Yang & Choi, sp. nov. 27. Egg mass of L. delicatula covered with lutescens powder. 28. Egg mass of L. delicatula which the covered lutescens powder was taken off.
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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.