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2,358 results for “wing”
Fig. 1 in Wing-Length, Body Mass And Fat Reserves Of Robins (Erithacus Rubecula) During Autumn Migration In Hungary
Fig. 1. Location of ringing sites
Fig. 1. Pherocon 1C wing trap with a in Captures of Stenoma catenifer (Lepidoptera: Depressariidae) are influenced by pheromone trap density in Hass avocado orchards
Fig. 1. Pherocon 1C wing trap with a commercial pheromone.
Fig. 2 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration
Fig. 2. Distribution of landmarks on P. rapae forewing and hind wing.
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. 2 in Ectoparasites are unlikely to be a primary cause of population declines of bent-winged bats in south-eastern Australia
Fig. 2. Dorsal view of Penicillidia oceanica. Note absence of notopleural setae (Arrow).
Fig. 1 in Ectoparasites are unlikely to be a primary cause of population declines of bent-winged bats in south-eastern Australia
Fig. 1. Dorsal view of Penicillidia tectisentis. Note notopleural setae (Arrow).
Dataset for journal JFS: "Near-wake characteristics of rigid and membrane wings in ground effect" 2018 by R.Bleischwitz, R.de Kat, B.Ganapathisubramani
<p>Complete Dataset for Journal of Fluids and Structures publication:</p> <p>"Near-wake characteristics of rigid and membrane wings in ground effect" (2018) by, R.Bleischwitz, R.de Kat, B.Ganapathisubramani<br> Written 01-04-2018<br> by Robert Bleischwitz (robert.bleischwitz@gmail.com)</p> <p>General Comments</p> <p>0.) This specific upload contains the full timeresolved dataset of the JFS-paper (~27GB of timeresolved MATLAB files)</p> <p>1.) The attached time-resolved-data relates to experimental windtunnel measurements on passive membrane wings for MAVs. The data was aquired between 2012-2016 at the University of Southampton, involving Robert Bleischwitz as PhD student, who was supervised by Roeland de Kat and Bharathram Ganapathisubramani.</p> <p>2.) The attached data is given time-resolved and time-synchronised at 800Hz over a imaging-period of 5000 images, involving load measurements via a 6-axis load-cell ATI Nano17 /25N, deformation measurements via Digitial Image Processing (high-speed DIC) and stereo flow measurements via two high-speed cameras (high-speed stereo PIV). </p> <p>3.) More setup and processing details can be found in the paper "Near-wake characteristics of rigid and membrane wings in ground effect" (2018) by the authors R. Bleischwitz, R. de Kat, B. Ganapathisubramani<br> Published in:</p> <p>-Journal of Fluids and Structures: <a href="https://doi.org/10.1016/j.jfluidstructs.2018.03.007">https://doi.org/10.1016/j.jfluidstructs.2018.03.007</a> </p> <p>- University of Southampton: <a href="http://doi.org/10.5258/SOTON/D0461">http://doi.org/10.5258/SOTON/D0461</a> </p> <p>4.) All load/deformation/flow folders contain a README.txt(Use 1st) and Instructions.m (Use 2nd) MATLAB-file, which give further supporting details how to illustrate the time-resolved-data</p> <p>5.) This specific upload contains the full time-resolved dataset, including:</p> <p>-Cases:</p> <p>a.) Rigid and Membrane wings</p> <p>b.) Height of ground(from trailing edge, in referecne to chord length): h/c=2, 0.25 and 0.1</p> <p>c.) Angle-of-attack: 10,15,25deg</p> <p>d.) DATA available (Timeresolved and time-synchronised):</p> <p>-Loads in high speed (10 kHz)</p> <p>-Membrane deformations in high speed(800Hz)</p> <p>-Stereo Flow velocities in wake at high-speed (800Hz)</p> <p><strong><em>Abstract of Journal-publication:</em><br> Wind tunnel measurements are conducted at a Reynolds numbers of Re = 56,000 to examine the characteristics of<br> near-wake vortices of rigid flat-plates and membrane wings from free-flight into ground–effect conditions. Synchronised<br> high-speed load cell measurements, digital image correlation and particle image velocimetry are performed to<br> resolve lift, drag and pitch oscillations simultaneously with membrane deformation and flow dynamics. Flow measurements<br> are acquired in a crossflow-plane, one chord downstream of the trailing-edge, allowing the examination of<br> time evolution of the wake and its relationship to the forces and membrane deformation. Membrane wings are found<br> to delay ground–effect or high angles-of-attack induced tip-vortex break-down and result in larger tip-vortex push-out<br> (beyond the wing span) compared to rigid flat-plate wings. The leading-edge vortex appears to shed with streamwise<br> vorticity close to the root of the wing and this frequency of this shedding is found to match with the dominant frequency<br> observed in membrane fluctuations. In specific resonance conditions, membrane and flow fluctuations are found to<br> correlate well to the fluctuations in loads and moments.</strong></p>
Fig. 17. Zentamyia nigracinctus (Roberts, 1929), ♀ allotype (ANIC No. 29-009842): (a) dorsal; (b) lateral; (c) head, dorsal; (d) head, lateral; (e) wing; (f ) head, frontal; (g) head, profile. Scale bars = 1 mm. This figure is published in colour in the online edition of this journal, which can be accessed via http://booksandjournals.brillonline.com/content/journals/1876312x.
Fig. 17. Zentamyia nigracinctus (Roberts, 1929), ♀ allotype (ANIC No. 29-009842): (a) dorsal; (b) lateral; (c) head, dorsal; (d) head, lateral; (e) wing; (f ) head, frontal; (g) head, profile. Scale bars = 1 mm. This figure is published in colour in the online edition of this journal, which can be accessed via http://booksandjournals.brillonline.com/content/journals/1876312x.
Fig. 2. Eusurbus altus (Walker), 1849, ♂ (ANIC No. 29-008742): (a) dorsal; (b) lateral; (c) head, dorsal; (d) flagellum; (e) wing; (f ) head, frontal; (g) head, profile. Scale bars = 1 mm. This figure is published in colour in the online edition of this journal, which can be accessed via http://booksandjournals.brillonline. com/content/journals/1876312x.
Fig. 2. Eusurbus altus (Walker), 1849, ♂ (ANIC No. 29-008742): (a) dorsal; (b) lateral; (c) head, dorsal; (d) flagellum; (e) wing; (f ) head, frontal; (g) head, profile. Scale bars = 1 mm. This figure is published in colour in the online edition of this journal, which can be accessed via http://booksandjournals.brillonline. com/content/journals/1876312x.
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.
Figure 17 Polycentropus claudioi new species, wings. A in LEAq - Laboratório de Entomologia Aquática "Prof. Claudio Gilberto Froehlich" and the task of facing the biodiversity knowledge deficits on Caddisflies (Trichoptera), Bahia, Brazil
Figure 17 Polycentropus claudioi new species, wings. A, forewing; B, hind wing.
Figure 9 Neoathripsodes froehlichi new species, wings. A in LEAq - Laboratório de Entomologia Aquática "Prof. Claudio Gilberto Froehlich" and the task of facing the biodiversity knowledge deficits on Caddisflies (Trichoptera), Bahia, Brazil
Figure 9 Neoathripsodes froehlichi new species, wings. A, forewing; B, hind wing.
Figure 4 Austrotinodes zeferina new species, wings. A in LEAq - Laboratório de Entomologia Aquática "Prof. Claudio Gilberto Froehlich" and the task of facing the biodiversity knowledge deficits on Caddisflies (Trichoptera), Bahia, Brazil
Figure 4 Austrotinodes zeferina new species, wings. A, forewing; B, hind wing.
Figure 13 Oecetis marcus new species, wings. A in LEAq - Laboratório de Entomologia Aquática "Prof. Claudio Gilberto Froehlich" and the task of facing the biodiversity knowledge deficits on Caddisflies (Trichoptera), Bahia, Brazil
Figure 13 Oecetis marcus new species, wings. A, forewing; B, hind wing.
Figure 2 Phylloicus froehlichi new species, wings. A in LEAq - Laboratório de Entomologia Aquática "Prof. Claudio Gilberto Froehlich" and the task of facing the biodiversity knowledge deficits on Caddisflies (Trichoptera), Bahia, Brazil
Figure 2 Phylloicus froehlichi new species, wings. A, forewing; B, hind wing.
Figure 6 Atopsyche froehlichi new species, wings. A in LEAq - Laboratório de Entomologia Aquática "Prof. Claudio Gilberto Froehlich" and the task of facing the biodiversity knowledge deficits on Caddisflies (Trichoptera), Bahia, Brazil
Figure 6 Atopsyche froehlichi new species, wings. A, forewing; B, hind wing.
Figure 2 in The first record of the eggs of black wing flyingfish Hirundichthys rondeletii (Valenciennes, 1846) in the Turkish nearshores of the Aegean Sea (Gümüldür)
Figure 2. External and internal appearance of Hirundichthys rondeletii eggs (drawings by O Uygun).
Figure 1 in The first record of the eggs of black wing flyingfish Hirundichthys rondeletii (Valenciennes, 1846) in the Turkish nearshores of the Aegean Sea (Gümüldür)
Figure 1. The map of the region where Hirundichthys rondeletii eggs were found.
Data segmented wings
<div> <p>Data for the paper "Signalling-dependent refinement of cell fate choice during tissue remodelling". The folders "Movie200923" and "Dumpy_DSRF_1" store data necessary for running simulations on wing tissues, such as cell centroids, cell lineages, cell neighbours, and so on. They contain wing images with cell junctions labelled by E-cadherin, which have been segmented and tracked. They also contain raw images of DSRF>GFP fluorescence. "200923" contains data from the wild type wing; "200924_wing1" contains data from the Dumpy mutant wing. The database "DB.csv" ("DBcells2.csv" for the Dumpy mutant) also stores the DSRF level in each cell at all time points. To run the simulation, it is sufficient to save the folder Movie200923.zip (Dumpy_DSRF_1.zip) in the same directory as "Run_sim_WT_wing.py" (Run_sim_Dumpy_wing.py).</p> <p> </p> </div>
Data from: Complex dynamics underlie the evolution of imperfect wing pattern convergence in butterflies
Adaptive radiation is characterized by rapid diversification that is strongly associated with ecological specialization. However, understanding the evolutionary mechanisms fueling adaptive diversification requires a detailed knowledge of how natural selection acts at multiple life-history stages. Butterflies within the genus Adelpha represent one of the largest and most diverse butterfly lineages in the Neotropics. Although Adelpha species feed on an extraordinary diversity of larval hosts, convergent evolution is widespread in this group suggesting that selection for mimicry may contribute to adaptive divergence among species. To investigate this hypothesis, we conducted predation studies in Costa Rica using artificial butterfly facsimiles. Specifically, we predicted that non-toxic, palatable Adelpha species that do not feed on host plants in the family Rubiaceae would benefit from sharing a locally convergent wing pattern with the presumably toxic Rubiaceae-feeding species via reduced predation. Contrary to expectations, we found that the presumed mimic was attacked significantly more than its locally convergent model, at a frequency paralleling attack rates on both novel and palatable prey. Although these data reveal the first evidence for protection from avian predators by the supposed toxic, Rubiaceae-feeding Adelpha species, we conclude that imprecise mimetic patterns have high costs for Batesian mimics in the tropics.
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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.