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205 results for “wing pattern”
Fig. 13 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 13. Male aedeagus. Scale bar = 1 mm. A. Eustroma (= Antepirrhoe) semiatratum; B. Ecliptopera (= Gandaritis) atricolorata; C. Eustroma aerosum; D. Gandaritis sinicaria; E. Chartographa (= Callabraxas) ludovicaria; F. Eulithis (= Gandaritis) powellata; G. E. explanata.
Fig. 20 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 20. Character reconstruction over the preferred cladogram of Eulithis and related genera (continued). Distinctive waved marking on the postmedial line of hindwing (character 13). White branches absent; black branches: present. See fig. 19 for abbreviations.
Fig. 18. A in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 18. A cladogram derived from the successive weighting approach. For abbreviations of genera, see table 2.
Fig. 10 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 10. Male genital capsule. Scale bar = 1 mm. A. Ecliptopera (= Gandaritis) atricolorata; B. Evecliptopera illitata; C. Eustroma (= Antepirrhoe) semiatratum; D. Eustroma melancholicum.
Fig. 11 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 11. Male genital capsule. Scale bar = 1 mm. A. Gandaritis sinicaria; B. Calleulype (= Gandaritis) whitelyi; C. Chartographa (= Callabraxas) fabiolaria; D. Callabraxas (= Gandaritis) maculata; E. Chartographa (= Callabraxas) ludovicaria.
Fig. 9 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 9. Eighth male sternite, anterior margin at top. Scale bar = 1 mm. A. Telenomeuta punctimarginaria; B. Eulithis (= Gandaritis) pyraliata; C. Gandaritis agnes; D. Chartographa (= Callabraxas) fabiolaria; E. Eustroma melancholicum.
Fig. 19 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 19. Character reconstruction over the preferred cladogram of Eulithis and related genera. Presence of yellow marking on the tornus of forewing (character 9). White branches: absent; black branches: present. Genera abbreviations: Tel., Telenomeuta; Ant., Antepirrhoe; Cid., Cidaria; Ecl., Ecliptopera; Lam., Lampropteryx; Eve., Evecliptopera; Eut., Eustroma; Cal., Callabraxas; Cer., Ceratodalia; Lob., Lobogonodes; Eul. Eulithis; Gan., Gandaritis.
Fig. 6 in 'Species' from two different butterfly genera combined into one: description of a new genus of Euptychiina (Nymphalidae: Satyrinae) with unusually variable wing pattern
Fig. 6. Recorded localities of Sepona punctata (based on all examined material; see text for details). Black dots = "griseola" phenotype; white dots = "punctata" phenotype; gray dots = intermediate phenotypes.
Fig. 4 in 'Species' from two different butterfly genera combined into one: description of a new genus of Euptychiina (Nymphalidae: Satyrinae) with unusually variable wing pattern
Fig. 4. Variation in wing pattern of Sepona punctata (all from Brazil). A, Abunã, Rio Madeira, Rondônia; B, Porto Velho, Rondônia; C, Estação Ecológica do Alto Acre, Acre; D, Porto Acre, PAD Humaitá, Acre; E, Conceição do Mato dentro, Minas Gerais; F, Parque Municipal do Trabijú, Pindamonhangaba, São Paulo (A, B, D – males; C, E, F – females).
Fig. 5 in 'Species' from two different butterfly genera combined into one: description of a new genus of Euptychiina (Nymphalidae: Satyrinae) with unusually variable wing pattern
Fig. 5. Relationships among Sepona punctata and selected species in the "Taygetis clade" and several outgroups inferred with maximum likelihood. Numbers near branch nodes are bootstrap branch support. Names in parentheses for Sepona punctata refer to the phenotype of the voucher specimens (see text).
Figures 7–14. Fore wings, showing colour patterns. 7 in The systematics and biology of the Costa Rican species of parasitic wasps in the Thyreodon genus-group (Hymenoptera: Ichneumonidae)
Figures 7–14. Fore wings, showing colour patterns. 7, Rhynchophion flammipennis, normal form. 8, Rhynchophion flammipennis, dark form. 9, Thyreodon rufothorax. 10, T. atriventris. 11. T. maculipennis. 12. T. walkerae. 13. T. zitaniae. 14. T. papei.
Balancing selection at a wing pattern locus is associated with major shifts in genome-wide patterns of diversity and gene flow
<p>Selection shapes genetic diversity around target mutations, yet little is known about how selection on specific loci affects the genetic trajectories of populations, including their genome-wide patterns of diversity and demographic responses. Here we study the patterns of genetic variation and geographic structure in a neotropical butterfly, <em>Heliconius numata</em>, and its closely related allies in the so-called melpomene-silvaniform clade. <em>H. numata</em> is known to have evolved an inversion supergene which controls variation in wing patterns involved in mimicry associations with distinct groups of co-mimics. Butterflies show disassortative mate preferences and heterozygote advantage at this locus. We contrasted patterns of genetic diversity and structure 1) among extant polymorphic and monomorphic populations of <em>H. numata</em>, 2) between <em>H. numata</em> and its close relatives, and 3) between ancestral lineages. We show that <em>H. numata</em> populations which carry the inversions as a balanced polymorphism show markedly distinct patterns of diversity compared to all other taxa. They show the highest genetic diversity and effective population size estimates in the entire clade, as well as a low level of geographic structure and isolation by distance across the entire Amazon basin. By contrast, monomorphic populations of <em>H. numata</em> as well as its sister species and their ancestral lineages all show lower effective population sizes and genetic diversity, and higher levels of geographical structure across the continent. One hypothesis is that the large effective population size of polymorphic populations could be caused by the shift to a regime of balancing selection due to the genetic load and disassortative preferences associated with inversions. Testing this hypothesis with forward simulations supported the observation of increased diversity in populations with the supergene. Our results are consistent with the hypothesis that the formation of a supergene triggered a change in gene flow, causing a general increase in genetic diversity and the homogenisation of genomes at the continental scale.</p>
Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species
<p>In medical, veterinary, and forensic entomology, the ease and affordability of image data acquisition have resulted in whole-image analysis becoming an invaluable approach for species identification. Krawtchouk moment invariants are a classical mathematical transformation that can extract local features from an image, thus allowing subtle species-specific biological variations to be accentuated for subsequent analyses. We extracted Krawtchouk moment invariant features from binarised wing images of 759 male fly specimens from the Calliphoridae, Sarcophagidae, and Muscidae families (13 species and a species variant). Subsequently, we trained the Generalized, Unbiased, Interaction Detection and Estimation (GUIDE) random forests classifier using linear discriminants derived from these features and inferred the species identity of specimens from the test samples. Five-fold cross validation results show a 98.56 ± 0.38% (standard error) mean identification accuracy at the family level, and a 91.04 ± 1.33% mean identification accuracy at the species level. The mean F1-score of 0.89 ± 0.02 reflects good balance of precision and recall properties of the model. The present study consolidates findings from previous small pilot studies of the usefulness of wing venation patterns for inferring species identities. Thus, the stage is set for the development of a mature data analytic ecosystem for routine computer image-based identification of fly species that are of medical, veterinary, and forensic importance.</p>
Data from: Dorsoventral comparison of intraspecific variations in the butterfly wing pattern using a convolutional neural network
Open the record for dataset details and reuse information.
Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species
Open the record for dataset details and reuse information.
Figure 1. - Representative specimens of the nine Epicephala species in Japan. Wing pattern of Epicephalaparasitica is sexually dimorphic, so specimens of both sexes are shown for this species. A Epicephalaanthophilia (Amami Island, Kagoshima, ♀, holotype) B Epicephalabipollenella (Henoko, Okinawa, ♀) C Epicephalalanceolatella (Cape Hedo, Okinawa, ♀, holotype) D Epicephalaperplexa (Cape Hedo, Okinawa, ♀, holotype) E Epicephalaobovatella (Tomogashima, Wakayama, ♂, paratype) F Epicephalacorruptrix (Takae, Okinawa, ♀, holotype) G Epicephalavitisidaea (Yona, Okinawa, ♀) H Epicephalaparasitica (Yonaguni Island, Okinawa, ♀, holotype) I Epicephalaparasitica (Hateruma Island, Okinawa, ♂) J Epicephalanudilingua (Watarase-yusuichi, Tochigi, ♀, holotype). Scale bar: 5 mm.
Figure 1. - Representative specimens of the nine Epicephala species in Japan. Wing pattern of Epicephalaparasitica is sexually dimorphic, so specimens of both sexes are shown for this species. A Epicephalaanthophilia (Amami Island, Kagoshima, ♀, holotype) B Epicephalabipollenella (Henoko, Okinawa, ♀) C Epicephalalanceolatella (Cape Hedo, Okinawa, ♀, holotype) D Epicephalaperplexa (Cape Hedo, Okinawa, ♀, holotype) E Epicephalaobovatella (Tomogashima, Wakayama, ♂, paratype) F Epicephalacorruptrix (Takae, Okinawa, ♀, holotype) G Epicephalavitisidaea (Yona, Okinawa, ♀) H Epicephalaparasitica (Yonaguni Island, Okinawa, ♀, holotype) I Epicephalaparasitica (Hateruma Island, Okinawa, ♂) J Epicephalanudilingua (Watarase-yusuichi, Tochigi, ♀, holotype). Scale bar: 5 mm.
- Wings with dark patterns, yellowish to black (a, b); tropical Africa ………………………………4 in A review of the Afrotropical Rhyssinae (Hymenoptera: Ichneumonidae) with the descriptions of five new species
- Wings with dark patterns, yellowish to black (a, b); tropical Africa ………………………………4
Reconstructing illusory camouflage patterns on moth wings using computer vision - Datas and codes
<p>This repository contains the data, codes and pre-trained weights for the experiments in our paper "Reconstructing illusory camouflage patterns on moth wings using computer vision", accepted for publication in the Journal of The Royal Society Interface.</p> <p>The images, in photos.zip, are available under CC-BY-SA 4.0 International license.</p> <p>The c++ codes, available in codes_closed_forms.zip, are available under a GPL 3.0 license.</p> <p>The monocular depth reconstruction toolbox we used to test different deep learning models for monocular reconstruction is available under the Apache 2.0 software license.</p>
Fig. 5 in Phylogeny of Eulithis Hübner and Related Genera (Lepidoptera: Geometridae), with an Implication of Wing Pattern Evolution
Fig. 5. Wing venation of Calleulype (= Gandaritis) whitelyi. Scale bar = 1 mm.
Fig. 1 in 'Species' from two different butterfly genera combined into one: description of a new genus of Euptychiina (Nymphalidae: Satyrinae) with unusually variable wing pattern
Fig. 1. Adult male of Sepona punctata – Jaru, Rondônia, Brazil. Dorsal above, ventral below.
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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.