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554 results for “Wilson”
Fig. 11. – Grimmia orbicularis Wilson. A in A revision of Grimmia (Grimmiaceae) from South Africa and Lesotho
Fig. 11. – Grimmia orbicularis Wilson. A. Transverse section of stem; B, C. Leaves; D. Outlines of transverse section of leaf; E, G. Cells in leaf base; F. Cells in transitional part; H. Transverse section of leaf. [A: Hedderson 15285, BOL; B, E: MacOwen s.n., BM; C, F-H: Hedderson 15264, BOL; D, Hedderson 13047, BOL]
Supplementary material 1 from: Motloung R, Robertson M, Rouget M, Wilson J (2014) Forestry trial data can be used to evaluate climate-based species distribution models in predicting tree invasions. NeoBiota 20: 31-48. https://doi.org/10.3897/neobiota.20.5778
Current and potential distributions of sixteen species that are not widespread in southern Africa arranged on the basis of their suitable range size : a) Acacia paradoxa, b) A. cultriformis, c) A. falciformis, d) A. pendula, e) A. rubida, f) A. stricta, g) A. retinodes, h) A. fimbriata, i) A. aneura, j) A. viscidula, k) A. acuminata, l) A. adunca, m) A. binervata, n) A. schinoides, o) A. prominens, p) A. mangium. The grey shading indicates areas that SDMs have identified as suitable by SDMs while the white ones are unsuitable.
Supplementary material 1 from: Yemshanov D, Koch F, Ducey M, Haack R, Siltanen M, Wilson K (2013) Quantifying uncertainty in pest risk maps and assessments: adopting a risk-averse decision maker's perspective. NeoBiota 18: 193-218. https://doi.org/10.3897/neobiota.18.4002
Risk of out-of-state (out-of-province) locations to be the source of forest pests transported in firewood carried by campers. The risk rank values are based on the delineation of nested non-dominant sets via the first-degree stochastic dominance rule (FSD). The ranks close to 1.0 denote the highest risk of pest arrival and the ranks close to 0 denote the lowest risk. (doi: 10.3897/neobiota.18.4002.app1) File format: Adobe PDF File (pdf).:
Supplementary material 4 from: Yemshanov D, Koch F, Ducey M, Haack R, Siltanen M, Wilson K (2013) Quantifying uncertainty in pest risk maps and assessments: adopting a risk-averse decision maker's perspective. NeoBiota 18: 193-218. https://doi.org/10.3897/neobiota.18.4002
Summary of differences between risk rank classes, 0–0.05, 0.05–0.25, 0.25–0.5, 0.5–0.75, 0.75–0.95 and 0.95–1 in the delineations based on the FSD and SSD rules. (doi: 10.3897/neobiota.18.4002.app4) File format: Adobe PDF File (pdf).:
CIENCIA SIN FRONTERAS - Programa 3 - Febrero 19 de 2019 - Wilson Enrique Rosado Mercado - UNISUCRE
<p>CIENCIA SIN FRONTERAS - Programa 3</p> <p>Febrero 19 de 2019</p> <p>Invitado: Wilson Rosado Mercado</p> <p>Tema: Física</p>
Figure 3. Tanystylum orbiculare Wilson, 1878 in Pycnogonida (Arthropoda) from Mersin Bay (Turkey, eastern Mediterranean)
Figure 3. Tanystylum orbiculare Wilson, 1878, ♂, ovigerous, Mersin Bay: A) left leg 3; B) left oviger.
Linked collectors and determiners for: Wilson Botanical Garden - Las Cruces Biological Station.
Natural history specimen data linked to collectors and determiners held within, "Wilson Botanical Garden - Las Cruces Biological Station". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d6fa86b9-8906-4622-9ebc-24d393c9ac12">https://bionomia.net/dataset/d6fa86b9-8906-4622-9ebc-24d393c9ac12</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d6fa86b9-8906-4622-9ebc-24d393c9ac12">https://gbif.org/dataset/d6fa86b9-8906-4622-9ebc-24d393c9ac12</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Daltonia hookeriana, a new name for Daltonia heterophylla (Wilson ex Mitt.) B. C. Ho & L. Pokorny (Daltoniaceae, Bryophyta).
Natural history specimen data linked to collectors and determiners held within, "Daltonia hookeriana, a new name for Daltonia heterophylla (Wilson ex Mitt.) B. C. Ho & L. Pokorny (Daltoniaceae, Bryophyta)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6fcc6e54-2ba8-49e5-a159-b31519894263">https://bionomia.net/dataset/6fcc6e54-2ba8-49e5-a159-b31519894263</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6fcc6e54-2ba8-49e5-a159-b31519894263">https://gbif.org/dataset/6fcc6e54-2ba8-49e5-a159-b31519894263</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Redescriptions and new species in the ' Austrosignum-Munnogonium' complex sensu Just & Wilson (2007), mainly from the Southern Hemisphere (Crustacea Isopoda: Paramunnidae).
Natural history specimen data linked to collectors and determiners held within, "Redescriptions and new species in the ' Austrosignum-Munnogonium' complex sensu Just & Wilson (2007), mainly from the Southern Hemisphere (Crustacea Isopoda: Paramunnidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/9e67d3d2-ed4b-4976-b342-0b8397b443fe">https://bionomia.net/dataset/9e67d3d2-ed4b-4976-b342-0b8397b443fe</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/9e67d3d2-ed4b-4976-b342-0b8397b443fe">https://gbif.org/dataset/9e67d3d2-ed4b-4976-b342-0b8397b443fe</a>. Formatted as a Frictionless Data package.
Figure 2 in An expanded description of the threatened tree kangaroo tickIxodes (Sternalixodes) dendrolagi Wilson, 1967 (Acari: Ixodidae) from Papua New Guinea
Figure 2 Ixodes dendrolagi female scanning electron micrographs: A – Ventral basis calpituli; B – Scutum; C – Dorsal basis capituli; D – Ventral idiosoma; E – Spiracular plate; F – Sternal plate.
FIG. 4 in A new species of bathymodioline mussel (Mollusca, Bivalvia, Mytilidae) from Mauritania (West Africa), with comments on the genus Bathymodiolus Kenk & Wilson, 1985
FIG. 4. — Half-schematic drawings of the insides of the right valves of Bathymodiolus mauritanicus n. sp.; A, holotype (MNHN); B, paratype (USNM); C, paratype (NSMT). Scale bars: 10 mm.
FIG. 5 in A new species of bathymodioline mussel (Mollusca, Bivalvia, Mytilidae) from Mauritania (West Africa), with comments on the genus Bathymodiolus Kenk & Wilson, 1985
FIG. 5. — Half-schematic drawings of the insides of the right valves of Bathymodiolus species; A, Bathymodiolus childressi Gustafson, Turner, Lutz & Vrijenhoek, 1998, paratype 3137-21 (MNHN), Green Canyon-272, Louisiana continental slope, 27°41.1'N, 91°32.2'W, 723 m, Johnson Sea-Link-1 cruise, dive 3137; B, Bathymodiolus childressi Gustafson, Turner, Lutz & Vrijenhoek, 1998, paratype 3129-52 (MNHN); C, D, Bathymodiolus sp. I, Barbados Accretionary Prism, Orénoque site, 1688 m, Diapisub cruise, stn DS 05; E, Bathymodiolus platifrons Hashimoto & Okutani, 1994, paratype II (MNHN); F, Bathymodiolus platifrons Hashimoto & Okutani, 1994, paratype I (MNHN); G, Bathymodiolus puteoserpentis Cosel, Métivier & Hashimoto, 1994, "Les Ruches" site, Snake Pit hydrothermal field, MAR, 23°22'N, 47°57'W, 3478 m, HYDROSNAKE cruise, stn HS 10 (MNHN) (for comparison). Scale bars: 10 mm.
FIG. 1. — Bathymodiolus mauritanicus n in A new species of bathymodioline mussel (Mollusca, Bivalvia, Mytilidae) from Mauritania (West Africa), with comments on the genus Bathymodiolus Kenk & Wilson, 1985
FIG. 1. — Bathymodiolus mauritanicus n. sp., holotype (MNHN), length 98.1 mm; A, exterior and interior of left valve; B, exterior, lateral and ventral views of interior of right valve.
FIG. 3. — A in A new species of bathymodioline mussel (Mollusca, Bivalvia, Mytilidae) from Mauritania (West Africa), with comments on the genus Bathymodiolus Kenk & Wilson, 1985
FIG. 3. — A, Bathymodiolus childressi Gustafson, Turner, Lutz & Vrijenhoek, 1998, paratype 3129-52 (MNHN), length 83.7 mm, Bush Hill hydrocarbon seep, about 210 km SSW of Grand Isle, Louisiana, 27°46.9'N, 91°30.4'W, 546 m, Johnson Sea-Link-1 cruise, dive 3129, lateral and ventral views of interior of right valve; B, C, Bathymodiolus platifrons Hashimoto & Okutani, 1994, paratypes (MNHN), Hatsuashima Site, Sagami Bay, 35°00.2'N, 139°13.5'E, 1170 m, Shinkai 2000, dive 666; B, paratype I, length 96.1 mm, lateral and ventral views of interior of right valve; C, paratype II, length 65.4 mm, lateral and ventral views of interior of left valve.
FIG. 2. — Bathymodiolus mauritanicus n in A new species of bathymodioline mussel (Mollusca, Bivalvia, Mytilidae) from Mauritania (West Africa), with comments on the genus Bathymodiolus Kenk & Wilson, 1985
FIG. 2. — Bathymodiolus mauritanicus n. sp., paratype (MNHN), length 99.8 mm; A, exterior and interior of left valve; B, exterior and interior of right valve; C, dorsal view.
Examples of applying a multivariate Wilson prior to comparative crystallography data
<p>This folder contains four examples of merging crystallographic intensities with a bivariate prior:</p> <ul> <li>time-resolved Laue crystallography of the photoactive yellow protein (pyp.zip)</li> <li>anomalous diffraction from serial XFEL crystallography of thermolysin (thermolysin_xfel.zip)</li> <li>anomalous diffraction from Laue crystallography of NaI-soaked lysozyme (lysozyme.zip)</li> <li>fragment screening monochromatic data of Nsp3 Mac1 (dfs.zip)</li> </ul> <p>Additionally, we provide several auxilliary examples:</p> <ul> <li>For PYP, an example where we set aside a test fraction to semi-independently optimize the double-Wilson r (pyp_test_fraction.zip)</li> <li>for lysozyme, two examples, one where we use Laue-DIALS instead of precognition (lysozyme-laue-dials.zip), and another where we set aside the first 90 images to semi-independently optimize the double-Wilson r (lysozyme_test_fraction.zip)</li> <li>For thermolysin, an example where we use a bivariate versus a univariate prior as the number of scaled images grows (thermolysin_xfel_frames_sweep.zip), and another where we set aside the first 395 images to semi-independently optimize the double-Wilson r (thermolysin_xfel_test_fraction.zip)</li> </ul> <p>Finally, we provide zip files containing Careless repositories (careless_041.zip, careless_053.zip) and the <a href="https://github.com/Hekstra-Lab/dw">dw</a> repository containing Jupyter notebooks outlining the theory of the double-Wilson model (dw.zip).</p> <p>Every example includes scripts to run Careless as well as to analyze the outputs in order to reproduce the figures in the double-Wilson manuscript. For every example, there is a `README.md` that describes the contents of each example folder. </p>
Phenotypic divergence in two sibling species of shorebird: Common Snipe and Wilson's Snipe (Charadriiformes: Scolopacidae)
<p><span><span><span><span><span><span><span><span><span><span><span>Natural selection and social selection are among the main shapers of biological diversity, but their relative importance in divergence remains understudied. Additionally, although neutral evolutionary processes may promote phenotypic divergence, their potential contribution in speciation is often overlooked in studies of comparative morphology. In this study, we investigated phenotypic differentiation in two allopatric shorebirds: the Palearctic Common Snipe <i>Gallinago gallinago</i> and the Nearctic Wilson's Snipe <i>G. delicata</i>. Specimens of Common Snipe (n = 355 skins, n = 163 skeletons) and Wilson's Snipe (n = 403 skins, n = 141 skeletons) in natural history collections, were examined to quantify differences in skeletal and external measurements, and measures on wing and tail plumage variables. The species did not differ in skeletal variables except for the relatively larger sternum of the Common Snipe. The two species do not differ in multivariate wing size or shape (pointedness). Previously known plumage differences between these species were confirmed: the Common Snipe has fewer rectrices, longer and wider outermost rectrices, more extensive white on tips of the secondary feathers, and more white in the axillaries. Between-species variance in skeleton, primary length, and plumage variables was greater than expected if drift was mainly responsible for phenotypic divergence, suggesting a role of selective processes. However, drift could not be rejected after adjusting for multiple comparisons. Differences in plumage traits were greater than in skeletal or external measurements. Because snipe use plumage traits in signalling, the results suggest a faster divergence between these species in socially selected traits than in those related to resource use.</span></span></span></span></span></span></span></span></span></span></span></p>
Renormalisation of the energy-momentum tensor in three-dimensional scalar SU(N) theories using the Wilson flow -- data release
<p>This repository contains the lattice two-point function measurements required to reproduce the results of the paper "Renormalisation of the energy-momentum tensor in three-dimensional scalar SU(N) theories using the Wilson flow" (<a href="https://arxiv.org/abs/2009.14767">https://arxiv.org/abs/2009.14767</a>).</p> <p>The code required to perform the data analysis can be found in <a href="https://github.com/josephleekl/scalar_emt_analysis">https://github.com/josephleekl/scalar_emt_analysis</a>.</p> <p>For any questions please get in touch: joseph.lee@ed.ac.uk </p>
Franklin Wilson Rice Tombstone
Franklin Wilson Rice (b. 1853, d. 1872) was the son of Henry Rice (Santa Cruz County's second judge after Judge Blackburn: https://sketchfab.com/models/601ad0a8c9f549b9b4930272e4a8d8ad) and Lucy Minerva Imus Rice. F. W. Rice's sister, Charlotte, was the mother of Henry Thompson (https://sketchfab.com/models/d781ee9da7ba48deaf41afd81720b24f). I was unable to find much information about Mr. Rice. The anchor on his stone suggests that he was a sailor. Source: Objaverse 1.0 / Sketchfab
WOLO: Wilson Only Looks Once – Datasets
<h1>WOLO: Wilson Only Looks Once – Estimating ant body mass from reference-free images using deep convolutional neural networks</h1> <h2>Abstract</h2> <p>Size estimation is a hard computer vision problem with widespread applications in quality control in manufacturing and processing plants, livestock management, and studies on animal behaviour. Typically, image-based size estimation is facilitated by either well-controlled imaging conditions, the provision of global cues, or both. Reference-free size estimation is challenging, because objects of vastly different sizes can appear identical if they are of similar shape. Here, we attempt to implement automated and reference-free body size estimation to facilitate large-scale experimental work in a key model species in sociobiology: the leaf-cutter ants. Leaf-cutter ants are a suitable testbed for reference-free size-estimation, because their workers differ vastly in both size and shape; in principle, it is therefore possible to infer body mass, a proxy for size, from relative body proportions alone. Inspired by earlier work by E.O. Wilson, who trained himself to discern ant worker size from visual cues alone, we used various deep learning techniques to achieve the same feat automatically, quickly, and at scale from a single reference image: <strong>Wilson Only Looks Once</strong> (<strong>WOLO</strong>). Utilizing over 3 million hand-annotated and computer-generated images, a set of deep neural networks---including regressors, classifiers, and detectors---were trained to estimate the body mass of ants from image cut-outs. The WOLO networks approximately matched human performance, measured for a small group of both experts and non-experts, but were about 1000 times faster. Further refinement may enable accurate, high-throughput, and non-intrusive body mass estimation at scale, and so eventually contribute to a more nuanced and comprehensive understanding of the complex division of labour that characterises polymorphic insect societies.</p> <h2>Datasets</h2> <p>This repository contains all (cropped) frame datasets for training and benchmarking. Refer to the <a href="https://github.com/FabianPlum/WOLO">WOLO GitHub page</a> for usage and the manuscript for dataset details.</p> <p>As the full-frame datasets are too large to host online permanently, please get in touch with the lead author (Fabian Plum) if you require access. </p>
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