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2,358 results for “wing”
Linked collectors and determiners for: Neolinoptes gen. n., a replacement name for the net-winged beetle genus Linoptes Gorham, 1884 and a new species of Lycomorphon from Guyana (Coleoptera: Lycidae).
Natural history specimen data linked to collectors and determiners held within, "Neolinoptes gen. n., a replacement name for the net-winged beetle genus Linoptes Gorham, 1884 and a new species of Lycomorphon from Guyana (Coleoptera: Lycidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/72be4ad0-68fe-42e1-b15f-929d1c210a71">https://bionomia.net/dataset/72be4ad0-68fe-42e1-b15f-929d1c210a71</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/72be4ad0-68fe-42e1-b15f-929d1c210a71">https://gbif.org/dataset/72be4ad0-68fe-42e1-b15f-929d1c210a71</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Morphological convergences in Ameles Burmeister and Pseudoyersinia Kirby: Taxonomic implications of wing reduction and flight predisposition in some West-Mediterranean Amelini (Insecta: Mantodea).
Natural history specimen data linked to collectors and determiners held within, "Morphological convergences in Ameles Burmeister and Pseudoyersinia Kirby: Taxonomic implications of wing reduction and flight predisposition in some West-Mediterranean Amelini (Insecta: Mantodea)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/611050b9-15f9-4400-8074-778f071d446d">https://bionomia.net/dataset/611050b9-15f9-4400-8074-778f071d446d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/611050b9-15f9-4400-8074-778f071d446d">https://gbif.org/dataset/611050b9-15f9-4400-8074-778f071d446d</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Pseudolycoriella skusei sp. nov. (Diptera: Sciaridae), a new dark-winged fungus gnat from Norfolk Island and Australia.
Natural history specimen data linked to collectors and determiners held within, "Pseudolycoriella skusei sp. nov. (Diptera: Sciaridae), a new dark-winged fungus gnat from Norfolk Island and Australia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/47edc57f-1dbf-4578-b4fd-d044c7aca3dc">https://bionomia.net/dataset/47edc57f-1dbf-4578-b4fd-d044c7aca3dc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/47edc57f-1dbf-4578-b4fd-d044c7aca3dc">https://gbif.org/dataset/47edc57f-1dbf-4578-b4fd-d044c7aca3dc</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: New and little known taxa of neotenic lyropaeine net-winged beetles (Coleoptera Lycidae).
Natural history specimen data linked to collectors and determiners held within, "New and little known taxa of neotenic lyropaeine net-winged beetles (Coleoptera Lycidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d1bc0523-8f85-4c56-94a2-f9b82752d50e">https://bionomia.net/dataset/d1bc0523-8f85-4c56-94a2-f9b82752d50e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d1bc0523-8f85-4c56-94a2-f9b82752d50e">https://gbif.org/dataset/d1bc0523-8f85-4c56-94a2-f9b82752d50e</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: The Banded-Wing Moselia (Plecoptera: Leuctridae) Revisited.
Natural history specimen data linked to collectors and determiners held within, "The Banded-Wing Moselia (Plecoptera: Leuctridae) Revisited". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5fce1bf3-66a7-4ba3-8227-6d1373687998">https://bionomia.net/dataset/5fce1bf3-66a7-4ba3-8227-6d1373687998</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5fce1bf3-66a7-4ba3-8227-6d1373687998">https://gbif.org/dataset/5fce1bf3-66a7-4ba3-8227-6d1373687998</a>. Formatted as a Frictionless Data package.
Fig. 11a. Priocera clavipes metathoracic wing. Figs 12-18 in Taxonomic revision of the Western Hemisphere checkered beetle genus Priocera KIRBY (Coleoptera, Cleridae, Clerinae)
Fig. 11a. Priocera clavipes metathoracic wing. Figs 12-18. Various organs. Priocera clavipes (12) male mesodermal reproductive organs (13) female mesodermal reproductive organs. P. trinotata (14) male mesodermal reproductive organs. P. stictica (15) male mesodermal reproductive organs. P. costaricana (16) male mesodermal reproductive organs (17) female mesodermal reproductive organs. (18) P. pustulata), female mesodermal reproductive organs.
Figures 34–37. Homaledra wings. MGCL slide number given. 34 in Two new species of palm-leaf skeletonizers (Lepidoptera: Pterolonchidae: Homaledra Busck)
Figures 34–37. Homaledra wings. MGCL slide number given. 34) H. sabalella (#3321). 35) H. howardi (#3335). 36) H. knudsoni (#5005). 37) H. heptathalama (#5029).
Phenology of wing wear of peacock butterflies in Belgium 2009–2020
<p>We derived voltinism from wing wear. We classified the condition of wear of the upperwings in 12,425 butterflies according to four categories: (1) immaculate: fresh, or with at most one tiny scratch on the upper wings or one minor dent to the wing edges, (2) slightly worn: some scratches on the upper wing and/or small dents to the edges, (3) moderately worn: many scratches to the upper wing and/or dented edges, and (4) heavily worn: (parts with) colors faded and/or heavily dented edges. The categories were chosen to allow the distinction of recently emerged individuals in particular: there is “more wear” between categories 3 and 4 than between the first two. Persistent wear and abrasions with multiple impacts at several spots was given more weight in the classification than a single major incident that resulted in larger parts of the wing missing. Pictures were randomly sorted before being classified by a volunteer (JVK), who worked from a series of reference examples. </p>
Source code for R tutorials and dataset for empirical case study on Malurus elegans (red-winged fairy wren)
<p>Biological processes exhibit complex temporal dependencies due to the sequential nature of allocation decisions in organisms' life-cycles, feedback loops, and two-way causality. Consequently, longitudinal data often contain cross-lags: the predictor variable depends on the response variable of the previous time-step. Although statisticians have warned that regression models that ignore such covariate endogeneity in time series are likely to be inappropriate, this has received relatively little attention in biology. Furthermore, the resulting degree of estimation bias remains largely unexplored.</p> <p>We use a graphical model and numerical simulations to understand why and how regression models that ignore cross-lags can be biased, and how this bias depends on the length and number of time series. Ecological and evolutionary examples are provided to illustrate that cross-lags may be more common than is typically appreciated and that they occur in functionally different ways.</p> <p>We show that routinely used regression models that ignore cross-lags are asymptotically unbiased. However, this offers little relief, as for most realistically feasible lengths of time series conventional methods are biased. Furthermore, collecting time series on multiple subjects–such as populations, groups or individuals—does not help to overcome this bias when the analysis focusses on within-subject patterns (often the pattern of interest). Simulations (R tutorial 1 & 2), a literature search and a real-world empirical example on fairy wrens (data archived here with analyses presented in R-tutorial 3) together suggest that approaches that ignore cross-lags are likely biased in the direction opposite to the sign of the cross-lag (e.g. towards detecting density-dependence of vital rates and against detecting life history trade-offs and benefits of group living). Next, we show that multivariate (e.g. structural equation) models can dynamically account for cross-lags, and simultaneously address additional bias induced by measurement error, but only if the analysis considers multiple time series.</p> <p>We provide guidance on how to identify a cross-lag and subsequently specify it in a multivariate model, which can be far from trivial. Our tutorials with data and R code of the worked examples provide step‐by‐step instructions on how to perform such analyses.</p> <p>Our study offers insights into situations in which cross-lags can bias analysis of ecological and evolutionary time series and suggests that adopting dynamical models can be important, as this directly affects our understanding of population regulation, the evolution of life histories and cooperation, and possibly many other topics. Determining how strong estimation bias due to ignoring covariate endogeneity has been in the ecological literature requires further study, also because it may interact with other sources of bias.</p>
Scoring of wing wear of peacock butterflies in belgium 2009-2020. Link to original pictures and classification
<p>We show per record the assigned classification of the wear. We classified the condition of wear of the upperwings in 12,425 butterflies according to four categories: (1) immaculate: fresh, or with at most one tiny scratch on the upper wings or one minor dent to the wing edges, (2) slightly worn: some scratches on the upper wing and/or small dents to the edges, (3) moderately worn: many scratches to the upper wing and/or dented edges, and (4) heavily worn: (parts with) colors faded and/or heavily dented edges. The categories were chosen to allow the distinction of recently emerged individuals in particular: there is “more wear” between categories 3 and 4 than between the first two. Persistent wear and abrasions with multiple impacts at several spots was given more weight in the classification than a single major incident that resulted in larger parts of the wing missing. Pictures were randomly sorted before being classified by Jos Van Kerckhoven, who worked from a series of reference examples.</p>
FrGURI> 1.-it-e, Scatopse g11amensis: a, wing of female X 34; b, clasper of male X 225; c, hypopygium of male, ventral aspect X 45 (a, mesosome, c, clasper); d, mesosome of male, ventral aspect X 225; e, terminalia of female, ventral aspect X 225. f, g, Psectrosciara breviconiis: f, wing of female X 45; g, antennae of female X 225. h, Culicoides guttifer deMeijere, var. histrio, inner processes of male; caudal end directed downward X 225. i, Eukraiohelea inusitata, wing of female X 24. j, Smittia insitlsa, ventral aspect of half of hypopygium X 225. k, Chironomus insolens, ventral aspect of half of hypopygium X 112. 1, Chironomus eximiiis, latero-ventral aspect of half of hypopygium X 225 in Some New Species Of Nemocerous Diptera From Guam
FrGURI> 1.-it-e, Scatopse g11amensis: a, wing of female X 34; b, clasper of male X 225; c, hypopygium of male, ventral aspect X 45 (a, mesosome, c, clasper); d, mesosome of male, ventral aspect X 225; e, terminalia of female, ventral aspect X 225. f, g, Psectrosciara breviconiis: f, wing of female X 45; g, antennae of female X 225. h, Culicoides guttifer deMeijere, var. histrio, inner processes of male; caudal end directed downward X 225. i, Eukraiohelea inusitata, wing of female X 24. j, Smittia insitlsa, ventral aspect of half of hypopygium X 225. k, Chironomus insolens, ventral aspect of half of hypopygium X 112. 1, Chironomus eximiiis, latero-ventral aspect of half of hypopygium X 225
Figure 18-20. Hind wings. 18 in A new genus of telephanine Silvanidae (Coleoptera: Cucujoidea), with a diagnosis of the tribe and key to genera
Figure 18-20. Hind wings. 18) Australophanus redtenbacheri. 19) Euplatamus sp., Bolivia. 20) Aplatamus sp., Mexico.
FIGu!Ul 27.-Empoasca pipti,ri: a, ventral view of male genitalia; b, lateral view of male genitalia; TODO c, tegmen; TODO d, wing. TODO TODO TODO TODO TODO TODO TODO TODO in Homoptera, Fulgoroidea and Jassoidea of Guam
FIGu!Ul 27.-Empoasca pipti,ri: a, ventral view of male genitalia; b, lateral view of male genitalia; TODO c, tegmen; TODO d, wing. TODO TODO TODO TODO TODO TODO TODO TODO
FIG~ 6.-Muiralyricen ruber: a, frontal view; b, dorsal view of head and thorax; c; wing; d, tegmen; e, lateral view of male genitalia; f, ventral view of male genitalia. in Homoptera, Fulgoroidea and Jassoidea of Guam
FIG~ 6.-Muiralyricen ruber: a, frontal view; b, dorsal view of head and thorax; c; wing; d, tegmen; e, lateral view of male genitalia; f, ventral view of male genitalia.
FIGuru; 5.-Pyrrltoneura bivittata: a, tegmen; b, hind wing; c, lateral view of male genitalia; d, ventral view of male genitalia; e, dorsal view of head and thorax; f, frontal view. in Homoptera, Fulgoroidea and Jassoidea of Guam
FIGuru; 5.-Pyrrltoneura bivittata: a, tegmen; b, hind wing; c, lateral view of male genitalia; d, ventral view of male genitalia; e, dorsal view of head and thorax; f, frontal view.
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.
Fig. 11a. Priocera clavipes metathoracic wing. Figs 12-18 in Taxonomic revision of the West ern Hemisphere checkered beetle genus Priocera KIRBY (Coleoptera, Cleridae, Clerinae)
Fig. 11a. Priocera clavipes metathoracic wing. Figs 12-18. Various organs. Priocera clavipes (12) male mesodermal reproductive organs (13) female mesodermal reproductive organs. P. trinotata (14) male mesodermal reproductive organs. P. stictica (15) male mesodermal reproductive organs. P. costaricana (16) male mesodermal reproductive organs (17) female mesodermal reproductive organs. (18) P. pustulata), female mesodermal reproductive organs.
Figs 30–33 in A new genus and species of grass specialist short-winged leafhopper from Chile and Argentina (Hemiptera: Cicadellidae: Deltocephalinae: Faltalini)
Figs 30–33. Ackbaria vermiformis sp. nov., SEM micrographs. 30 – male genital capsule, lateral view; 31 – same, ventral view; 32 – same, ventrolateral view; 33 – face, ventrolateral view.
Figs 24–25 in A new genus and species of grass specialist short-winged leafhopper from Chile and Argentina (Hemiptera: Cicadellidae: Deltocephalinae: Faltalini)
Figs 24–25. Ackbaria vermiformis sp. nov., SEM micrographs. 24 – profemur and protrochanter, anteroventral view; 25 – metatarsomere I, ventrolateral view.
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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.
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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.