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127 results for “wing venation”
Fig. 1. Wing venation. A in The genus Prorops Waterson, 1923 (Hymenoptera, Bethylidae) from Madagascar
Fig. 1. Wing venation. A. Prorops sparsa sp. nov. Forewing, ♀. B. Prorops impotens sp. nov. Forewing, ♀. – Scale = 0.2 mm.
Figs 17–18 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Figs 17–18. Fore wings of species of Chrysopidae: 17 — fore wing of Chrysopa formosa (Brauer, 1850); 18 — fore wing of Chrysopa perla (Linnaeus, 1758).
Fig. 3 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Fig. 3. Fore wing venation: 3a — Myrmeleontidae (Distoleon Banks, 1810); 3b — Ascalaphidae (Libelloides Schaffer, 1763); 3c — Osmylidae (Osmylus Latreille, 1802); 3d — Chrysopidae (Chrysopa Leach, 1815); 3e — Sisyridae (Sisyra Burmeister, 1839); 3f — Mantispidae (Mantispа Illiger in Kugelann, 1798); 3g — Coniopterigidae (Conwentzia Enderlein 1905); 3h — Hemerobiidae (Hemerobius Linnaeus, 1758); R — radius, Rs — radial sector, Rt — radial triangular, dc — distal cell between R and Rs, Sc — subcostal vein; trz — tiny inserted veins. arranged between the terminal branches of longitudinal veins.
Figs 4–7 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Figs 4–7. Fore wing venation of Chrysopidae: 4 — Chrysotropia Navás, 1911; 5 — base of fore wing: 5a — Italochrysa Principi. 1946, 5b — Nineta Navas, 1912, 5c — Chrysopa Leach in Brewster, 1815, 5d — Peyerimhoffina Lacroix, 1920; 6 — base of fore wing: 6a —Pseudomallada Tsukaguchi, 1995, 6b— Chrysoperla Steinmann, 1964, 6c — Cunctochrysa Hölzel, 1970; 7 — fragment of fore wing of Chrysopa Leach, 1815 with setae fringe; M — median vein, im — intramedian cell, m2 — 2nd median cell, m3 — 3rd median cell, r1 — 1st radial cell, r2 — 2nd radial cell, r-m — radial-median vein, Rs — radial sector.
Figs 15–16 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Figs 15–16. Fore wings of species of Chrysopidae: 15 — fore wing of Chrysopa nigricostata (Brauer, 1850); 16 — fore wing of Chrysopa abbreviata (Curtis, 1834).
Figs 10–11 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Figs 10–11. Fore wings of species of Chrysopidae: 10 — fore wing of Chrysopa dorsalis (Burmeister, 1839); 11 — fore wing of Chrysopa hummeli Tjeder, 1936.
Fig. 2 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Fig. 2. Comparative diagram of the indices of the ratio of structures of the fore wing for the species of the genus Chrysopa from the Ukrainian Carpathians: Chrysopa from the Ukrainian Carpathians.
Figs 8–9 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Figs 8–9. Fore wings of species of Chrysopidae: 8 — fore wing of Chrysopa walkeri (McLachlan, 1893); 9 — fore wing of Chrysopa pallens (Rambur, 1838).
Fig. 1 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Fig. 1. General scheme for wing venation in Chrysopidae (legend on the FIgure): Psm — pseudomedian vein, Psc — pseudocubitus, ini — intramedian cell, G1 — gradiformes internal, GE — gradiformes exstemal, cv — cross veins of costal sector, pt — pterostigma.
Figs 12–14 in Morphometry Of Fore Wing Venation For Identification Of Net-Winged Insects Of The Ukrainian Carpathians, With A Focus On Chrysopa (Neuroptera, Chrysopidae)
Figs 12–14. Fore wings of species of Chrysopidae: 12 — fore wing of Chrysopa viridana (Schneider, 1845); 13— fore wing of Chrysopa hungarica Klapalek, 1899; 14 — fore wing of Chrysopa phyllochroma (Wesmael, 1841).
Figs 7-9. Anypodetus species, wing venation. 7. A in Afrotropical Asilidae (Diptera) 32. A Revision Of Anypodetus Hermann, 1907 With The Description Of Three New Species (Laphriinae)
Figs 7-9. Anypodetus species, wing venation. 7. A. fascipennsis Engel (Willowmore ♀). 8. A. nigrifacies Ricardo (Mkuzi ♂). 9. A. leucothrix sp. n.(holotype). Scale lines = 1 mm.
Figs. 7 and 8. Wing venation. Fig. 7 in A new tribe of Tropiduchidae (Hemiptera: Fulgoroidea) with revision of the genus Buca and description of asymmetric hind leg spinulation
Figs. 7 and 8. Wing venation. Fig. 7. Wing venation of Buca simplex Walker; A) forewing (holotype); B) hind wing (Bolivia). Annotations: A1, A2 = anal veins; B = basal cell; C1, C2, C3 (C3a, C3', C3b), C4 = Cells 1-4; C = Costa; CA = anterior Costa; CP = posterior Costa; CuA = anterior Cubitus; CuP = posterior Cubitus; cup- (pcu+a1) = transverse vein from CuP to Cpu+A1 veins; im = intramedial crossvein; m-cu = medial-cubitus crossvein; MP = posterior Media; Pc = Precosta; PcA = anterior Precosta; Pcu = postcubitus; r-m = radial-media crossvein; R = Radius; RP = posterior Radius; ScP = posterior Subcosta. Fig. 8. Forewing venation; A) Buca asymmetrospinata sp. nov. (paratype); B) Buca truncoptera sp. nov. (holotype). Annotations: A1, A2 = anal veins; B = basal cell; C1, C2, C3 (C3a, C3', C3b), C4, C5 = Cells 1-5; C = Costa; CA = anterior Costa; CP = posterior Costa; CuA = anterior Cubitus; CuP = posterior Cubitus; cup-(pcu+a1) = transverse vein from CuP to Cpu+A1 veins; im = intramedial crossvein; m-cu = medial-cubitus crossvein; MP = posterior Media; Pc = Precosta; PcA = anterior Precosta; Pcu = postcubitus; r-m = radialmedia crossvein; R = Radius; RP = posterior Radius; ScP = posterior Subcosta.
Figs 2-4. Smeryngolaphrill species, wing venation. 2. S in Afrotropical Asilidae (Diptera) 18. The genus Smeryngolaphria Hermann, 1912 (Laphriinae)
Figs 2-4. Smeryngolaphrill species, wing venation. 2. S. melanura (Wiedemann). 3. S. pa/lida Bromley. 4. S. bromleyi sp. n.
Text-fig. 7. Cercidiphyllaceae 1–3. Trochodendroides genetrix (NEWBERRY) comb. nov. and associated reproductive structures (4, 5) from Killpecker Cr., Rock Springs, Wyoming (UF loc. 18126). 1. Twig with three attached leaves, showing variation in leaf shape and serration; composite figure assembled from images of both counterparts, UF 35427. 2. Complete leaf including petiole, UF 13243. 3. Same as 2, detail of venation. 4. Nyssidium arcticum (HEER) ILJINSKAYA fruits on an incomplete axis, UF 35454. 5. Dispersed winged seed, UF 35479. Scale = 3 cm in 1, 2; 1 cm in 3, 4; 0.5 cm in 5. in Revisions To Roland Brown'S North American Paleocene Flora
Text-fig. 7. Cercidiphyllaceae 1–3. Trochodendroides genetrix (NEWBERRY) comb. nov. and associated reproductive structures (4, 5) from Killpecker Cr., Rock Springs, Wyoming (UF loc. 18126). 1. Twig with three attached leaves, showing variation in leaf shape and serration; composite figure assembled from images of both counterparts, UF 35427. 2. Complete leaf including petiole, UF 13243. 3. Same as 2, detail of venation. 4. Nyssidium arcticum (HEER) ILJINSKAYA fruits on an incomplete axis, UF 35454. 5. Dispersed winged seed, UF 35479. Scale = 3 cm in 1, 2; 1 cm in 3, 4; 0.5 cm in 5.
Figures 5–8. Pholichora subscleroma n in First host record for the rogadine genus Pholichora van Achterberg (Hymenoptera: Braconidae) with description of a new species and notes on convergent wing venation features
Figures 5–8. Pholichora subscleroma n. sp., Automontageẹ light micrographs. (5) Wings; (6) Part of subbasal cell showing patch of dense setae on thickened area of wing membrane (arrow); (7) Most of metasoma, dorsal aspect; (8) Apex of metasoma showing ovipositor sheath, lateral aspect.
Figures 1–4. Pholichora subscleroma n in First host record for the rogadine genus Pholichora van Achterberg (Hymenoptera: Braconidae) with description of a new species and notes on convergent wing venation features
Figures 1–4. Pholichora subscleroma n. sp., Automontageẹ light micrographs. (1) Head, facial aspect to show transverse sculpture; (2) Head, lateral aspect; (3) Head, dorsal aspect; (4) Mesosoma, lateral aspect.
Text-fig. 3. a–g, i, j: Quinquala obovata gen. et sp. nov., fruits from Wyoming and Oregon. a, b: Kisinger Lakes flora, Wyoming. a: Enlarged lateral view of split wing displaying venation along outer edge. Note the seed present in the locular area (arrow). UF 19376-60023b. b: Enlarged lateral view of split wing containing seeds within the locular area (arrow). UF 19376-60023c. c: Lateral view of fruit from White Cliffs, Oregon. UF 262-17690. d: Lateral view of fruit from West Branch Creek, Oregon. UF 229-53091. in Winged Fruits Of Rutaceous Affinity From The Eocene Of Western North America
Text-fig. 3. a–g, i, j: Quinquala obovata gen. et sp. nov., fruits from Wyoming and Oregon. a, b: Kisinger Lakes flora, Wyoming. a: Enlarged lateral view of split wing displaying venation along outer edge. Note the seed present in the locular area (arrow). UF 19376-60023b. b: Enlarged lateral view of split wing containing seeds within the locular area (arrow). UF 19376-60023c. c: Lateral view of fruit from White Cliffs, Oregon. UF 262-17690. d: Lateral view of fruit from West Branch Creek, Oregon. UF 229-53091.
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>
Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species
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Fig. 2. Wing venation. A in Descriptions of two new Vietomartyria species (Lepidoptera, Micropterigidae) from China
Fig. 2. Wing venation. A. Vietomartyria wuyunjiena sp. nov. ♀. B. V. maoershana sp. nov. ♂.
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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
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.