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13,017 results for “Positionning”

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zenodo40/100

Fig. 46–53 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 46–53. Geloemyia cockerelli, non-type ♀ from Malay Peninsula (46, 49, 52) (BMNH) and Borneo (47, 48, 50, 51, 53) (BBM): 46, 47 — habitus; 48 — head left; 49, 50 — wing; 51 — mid femur, dorsal view; 52, 53 — labels. Scale bar 2 mm. Arrows indicate femoral organ.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 67–76 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 67–76. Geloemyia quadriseta: holotype ♀ (67–70, 75), holotype ♂ of G. nigrofasciata (71–73, 76) (USNM) and non-type ♀ (74) (MHNP): 67, 71, 74 — habitus, lateral view; 68 — head, dorsal view; 69 — mid femur, anterior view; 70, 73 — wing; 72 — habitus, dorsal view; 75, 76 — labels.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 11–22 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 11–22. Geloemyia ♀, three apical right fore tarsomes, dorsal view (11–16) and apex of oviscape, left view (17–22): 11, 17 — G. namibica Korneyev, sp. n.; 12 — G. trifasciata; 13, 18 — G. cockerelli; 14, 19 — G. stylata; 15, 20 — G. cheni, sp. n.; 16, 21 — G. quadriseta; 22 — G. wonjuensis.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 23–28 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 23–28. Geloemyia cheni, sp. n., paratype ♀ (SIZK): 23 — habitus, lateral view; 24 — mid femur and tibia, anterior view; 25–26 — head (25 — anterior, 26 — lateral view); 27 — wing; 28 — label.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 100–106 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 100–106. Geloemyia wonjuensis, paratype ♀ (SIZK): 100 — habitus; 101 — head, lateral view; 102 — mesonotum, dorsal view; 103 — wing; 104 — oviscape and eversible membrane; 105 — same, apex, enlarged; 106 — labels. Scale bar 2 mm.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 77–87 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 77–87. Geloemyia stylata: holotype ♀ (NHMW): 77 — habitus; 78 — head, anterolateral view; 79 — antennae, lateral view; 80 — right wing, ventrally; 81 — left wing, ventrally; 82 — postgena, proepisternum and fore femur, posterior view; 83 — mid femur, anterior view; 84 — hind femur, anterior view; 85 — scutellum; 86 — abdomen, lateral view; 87 — labels.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 62–66 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 62–66. Geloemyia namibica, sp. n., paratype ♂ (62–64) (MNKB) and ♀ (65–66) (SIZK): 62 — abdomen, ventral view; 63 — epandrium, lateral view; 64 — glans of phallus; 65 — aculeus; 66 — spermatheca (one of the three).

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 54–61 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 54–61. Geloemyia namibica, sp. n., paratype ♀ (SIZK): 54 — habitus; 55–58 — head (55 — lateral, 56 — anterolateral, 57 — dorsal, 58 — anteroventral view); 59 — wing; 60 — mesonotum, dorsal view; 61 — labels.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 1–10 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 1–10. Geloemyia wings: 1 — G. namibica Korneyev, sp. n.; 2 — G. wonjuensis; 3–4 — G. trifasciata (3 — ♀, 4 — ♂); 5 — G. cockerelli; 6 — G. trifasciata holotype ♀; 7 — G. cheni Kim, Han & Korneyev, sp. n. paratype ♀; 8–9 — G. quadriseta (8 — syntype ♀ G. quadriseta, syntype ♀ G. ornata); 10 — G. nigrofasciata holotype ♀; dm — discomedial cel; cua — anterior cubital cell; dm-cu — discal mediocubital crossvein; cua — anterior cubital cell; arrows indicate spurious vein.

opencc-by-4.0Nov 2015View details →
zenodo40/100

Fig. 88–99 in Review Of The Genus Geloemyia (Diptera, Pyrgotidae), With Discussion Of Its Taxonomic Position

Fig. 88–99. Geloemyia trifasciata: non-type ♀ (88, 90–96) and ♂ (89, 97–99) (SIZK): 88, 89 — habitus, left; 90, 91 — head (90 — lateral, 91 — anterior view); 92 — right wing, dorsally; 93 — apex of oviscape and eversible membrane, lateral view; 94 — aculeus, ventrally; 95 — same, apex, enlarged; 96 — spermathecae; 97 — epandrium and hypandrium, right view; 98, 99 — phallus glans (98 — ventral, 99 — lateral view).

opencc-by-4.0Nov 2015View details →
zenodo40/100

Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'

<p>Supplementary Materials for &#39;Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning&#39;</p> <p>This package&nbsp;contains a collaborative BLE-RSS database, which considers different&nbsp;collaborative set-ups&nbsp;involving five mobile&nbsp;devices. The database is composed of three main subdirectories (Raw-Data, Processed-Data, and Code).&nbsp;The Code directory contains the Matlab script files used to&nbsp;process&nbsp;the raw data, visualize the processed data, and usage examples of the data provided. Further information is provided in the Readme file.</p>

opencc-by-4.0Jul 2021View details →
dryad40/100

Crop heterogeneity is positively associated with beneficial insect diversity in subtropical farmlands

<p>Increasing crop configurational heterogeneity – smaller crop fields with more field margins – has been repeatedly found to support farmland biodiversity. But research on compositional crop heterogeneity – the number and evenness of crop types – has usually shown only weak effects. However, much of this research has been conducted in large-scale temperate agroecosystems.</p> <p>We examined smallholder subtropical agroecosystems in southern China to assess the effects of crop heterogeneity on beneficial insect biodiversity. In addition to pollinators (bees, apoid and vespid wasps, butterflies), we studied dung beetles and dragonflies/damselflies, which are not usually considered in cropland heterogeneity studies, but are abundant in these multi-functional agroecosystems. We sampled these taxa in 468 transects placed inside 52 farms across three seasons (summer, spring, winter), collecting data on 27,245 insects belonging to 160 species.</p> <p>We found a strong positive effect of crop compositional heterogeneity (measured by Shannon-Wiener index) on dung beetle and dragonfly/damselfly diversity. Bees/wasps and butterflies, conversely, were positively affected by crop configurational heterogeneity (measured by cumulative field margin length).</p> <p>Field margin type, categorized by the structure of the dominant crop types, was consistently an important explanatory variable, with weedy margins having high insect diversity. The presence of a vegetable crop on one side of the field margin, compared to non-vegetable monocultures on both sides, increased diversity in 3/4 taxon-season comparisons made for rice, and 6/9 comparisons made for sugarcane or corn.</p> <p>Synthesis and applications. We demonstrate that crop compositional heterogeneity can support insects that respond to differences among crop types, including taxa that play a key role in nutrient cycling (dung beetles) and natural pest control (dragonflies/damselflies). Incorporating structurally diverse crops into monoculture Asian agroecosystems can reduce the adverse effects these intensive systems have on beneficial insects, and increase crucial ecosystem services.</p>

opencc-zeroApr 2022View details →
dryad40/100

Negative temporal autocorrelation in mast seeding dynamics positively influences both the long and short-term dynamics of a wild boar population

<p><span>Temporal autocorrelation in environmental conditions influences population dynamics through its effects on vital rates. However, a comprehensive understanding of how and to what extent temporal autocorrelation shapes population dynamics is still lacking because most empirical studies have unrealistically assumed that environmental conditions are temporally independent. Mast seeding is a biological event characterized by highly fluctuating and synchronized seed production at the tree population scale, as well as a marked negative temporal autocorrelation. In the current context of global change, mast seeding events are expected to become more frequent, leading to strengthened negative temporal autocorrelations and thereby amplified cyclicality in mast seeding dynamics with cycles of length 2 years. </span><span>Theory predicts that population growth rates are maximized when the environmental cyclicality of consumer resources and their generation times are closely matched. </span><span>To test this prediction, we took advantage of the long-term monitoring of a wild boar population, a widespread seed consumer species characterized by a short generation time (ca. 2 years). As expected, simulations indicated that its stochastic population growth rate increased as mast seeding dynamics became more negatively autocorrelated. Our findings demonstrate that accounting for temporal autocorrelations in environmental conditions relative to generation time of the focal population is required, especially under global warming where the cyclicality in resource dynamics is likely to change.</span></p>

opencc-zeroApr 2022View details →
dryad40/100

Stable species and interactions in plant-pollinator networks deviate from core position in fragmented habitats

<p><span>S</span><span>pecies</span><span> and their interactions are more dynamic over time and space</span> <span>in</span><span> fragmented habitats </span><span>than</span><span> in continuous habitats</span><span>.</span> <span>In fragmented habitats,</span><span> the</span> <span>low </span><span>nestedness</span> <span>of </span><span>mutualistic</span><span> networks may be related to the</span> <span>position</span><span> change</span> <span>of stable (high persistence over time/space) species and interactions in </span><span>the</span><span> network</span><span>s.</span><span> Previous studies</span> <span>have shown that </span><span>s</span><span>table species </span><span>and</span><span> interactions tend to </span><span>be in</span><span> the core position </span><span>of</span> <span>mutualistic</span><span> networks</span><span>. </span><span>H</span><span>owever</span><span>, </span><span>in fragmented habitats</span><span>, </span><span>it remains unknown whether </span><span>stable species or interactions still </span><span>tend to </span><span>be in</span><span> the core position.</span><span> </span><span>To address this gap,</span> <span>here</span><span> we evaluated </span><span>the correlation between the position of proximity to the network core and the temporal/spatial stability of </span><span>species and interactions</span><span>, </span><span>using</span> <span>the </span><span>observation of 42 plant-pollinator networks conducted in a fragmented island landscape over 3 years</span><span>.</span> <span>We showed that temporally/spatially </span><span>stable </span><span>species </span><span>and</span><span> interactions </span><span>deviated from the network core</span><span> to varying degrees</span><span>. Temporally stable plants</span><span> were</span> <span>most likely to deviate from the network core, followed by</span> <span>pollinators and</span> <span>interactions</span><span>, while only </span><span>spatially stable </span><span>pollinators</span><span> tend to </span><span>deviate from the network core</span><span>. </span><span>When unstable species (</span><span>present in few time/space points</span><span>, </span><span>typically specialists) and interactions occupy the network core,</span> <span>they cannot interact with most species in the network </span><span>as</span><span> generalists</span> <span>do</span><span>, </span><span>result</span><span>ing</span> <span>in</span> <span>the</span> <span>decrease of network nestedness. Therefore, from the perspective of</span><span> position and stability,</span><span> s</span><span>table species and interactions </span><span>deviate from the network core</span> <span>in</span> <span>fragmented habitats</span><span>, which </span><span>is an important reason for</span><span> the</span><span> decrease of</span><span> nestedness in </span><span>mutualistic</span><span> networks</span><span>.</span><span> </span><span>Our study</span><span> suggests that protecting</span> <span>plants that</span><span> occupy the core in large plant-pollinator networks is </span><span>essential for</span> <span>maintaining the network persistence in fragmented habitats.</span></p>

opencc-zeroMay 2022View details →
zenodo40/100

Fig. 4 in Phylogenetic position of genera Acrostilicus Hubbard and Pachystilicus Casey (Staphylinidae, Paederinae) and their redescription

Fig. 4. Pachystilicus hanhami (Wickham, 1898), habitus photographs and drawings of the apical abdominal sternite and genital structures. A. Habitus, holotype, ♂ (NMNH). B. Habitus, additional male specimen with darker colouration (NMNH). C. Male sternite VIII. D. Aedeagus, parameral view. E. Aedeagus, lateral view. Scale bars = 0.5 mm.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 1. 50 in Phylogenetic position of genera Acrostilicus Hubbard and Pachystilicus Casey (Staphylinidae, Paederinae) and their redescription

Fig. 1. 50% majority-rule consensus tree from a Bayesian analysis of combined molecular and morphological datasets. Posterior probabilities (PP) and UFB values&gt; 70 are shown near the corresponding nodes in PP/UFB format. A hyphen (-) refers to a lack of support in the result of certain analyses. Tribes and subtribes of Paederinae Fleming, 1821 are highlighted in colour.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 2. Acrostilicus hospes Hubbard, 1896 in Phylogenetic position of genera Acrostilicus Hubbard and Pachystilicus Casey (Staphylinidae, Paederinae) and their redescription

Fig. 2. Acrostilicus hospes Hubbard, 1896, habitus photograph and drawings of the apical abdominal sternite and genital structures. A. Habitus, lectotype, ♂ (NMNH). B. Male sternite VIII. C. Aedeagus, parameral view. D. Aedeagus, lateral view. Scale bar = 0.5 mm.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 3 in Phylogenetic position of genera Acrostilicus Hubbard and Pachystilicus Casey (Staphylinidae, Paederinae) and their redescription

Fig. 3. Pachystilicus quadriceps (LeConte, 1880), habitus photograph and drawings of the apical abdominal sternite and genital structures. A. Habitus, lectotype, ♂ (MCZ). B. Male sternite VIII. C. Aedeagus, parameral view. D. Aedeagus, lateral view. Scale bar = 0.5 mm.

opencc-by-4.0May 2022View details →
dryad40/100

MorphoGraphX2: Datasets that demonstrate how to create positional information with local coordinate systems

<p>Confocal image data sets and segmented meshes from various plant organs including the Arabidopsis root, flower, gynoecium, meristem, embryo and ovule. The data sets are used to demonstrate features available in MorphoGraphX software (<a href="http://www.MorphoGraphX.org">www.MorphoGraphX.org</a>), and how to use positional information to add spatial context to quantitative cellular data. Also included are longform video tutorials, and source code for the MorphoGraphX software.</p>

opencc-zeroMay 2022View details →
dryad40/100

Deep-sequencing of viral genomes from treatment-naive HIV-infected persons shows positive association between intrahost genetic diversity and viral load

<p><strong><span>Background:</span></strong><span> Infection with human immunodeficiency virus type 1 (HIV) typically results from transmission of a small and genetically uniform viral population. Following transmission, the virus population becomes more diverse because of recombination and acquired mutations through genetic drift and selection. Viral intrahost genetic diversity remains a major obstacle to the cure of HIV; however, there is a disagreement whether intrahost viral genetic diversification associates positively or negatively with disease progression and progression markers. Viral load is a key progression marker and understanding its relationship to viral intrahost genetic diversity could help design future strategies for HIV monitoring and treatment.</span></p> <p><span><strong>Methods:</strong> </span><span>We analyzed deep-sequenced viral genomes from 2,650 treatment-naive HIV-infected persons to measure the intrahost genetic diversity of 2,447 genomic codon positions as calculated by Shannon entropy. We tested for associations between viral load (VL) and amino acid (AA) entropy accounting for sex, age, race, duration of infection, and HIV population structure.</span></p> <p><strong><span>Results:</span></strong><span><strong> </strong>We confirmed that the intrahost genetic diversity is highest in the <em>env</em> gene. Furthermore, we showed that mean Shannon entropy is significantly associated with VL, especially in infections of &gt;24 months duration. We identified 16 significant associations between VL (p-value&lt;2.0x10<sup>-5</sup>) and Shannon entropy at AA positions which in our association analysis explained 13% of the variance in VL.</span></p> <p><strong><span>Conclusions: </span></strong><span>Our results elucidate that viral intrahost genetic diversity is associated with VL and could be used as a better disease progression marker than HIV consensus sequence variants, especially in infections of longer duration. We emphasize that viral intrahost diversity should be considered when studying viral genomes and infection outcomes.</span></p>

opencc-zeroJun 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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