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13,017 results for “Positionning”
Figure 16 in Phylogenetic position and morphological descriptions of Chiton species from the south-eastern Pacific
Figure 16. Chiton magnificus, Chile, Huinay, BL 20.0 mm, 05.01.2005: A, valve I, dorsal view; B, valve V, dorsal view; C, valve VIII, dorsal view; D, valve VIII, lateral view; E, valve VI, detail of tegmentum in central area; F, valve VI, central and lateral areas.
Figure 15 in Phylogenetic position and morphological descriptions of Chiton species from the south-eastern Pacific
Figure 15. Chiton magnificus, Chile, La Mission, BL 24.0 mm, 30.12.2004: A, valve I, dorsal view; B, valve V, dorsal view; C, valve VIII, dorsal view; D, valve VIII, lateral view; E, valve VI, detail of tegmentum in central area; F, valve VI, central and lateral areas.
Figure 12 in Phylogenetic position and morphological descriptions of Chiton species from the south-eastern Pacific
Figure 12. Chiton granosus, Chile, Las Cruces, BL 9.5 mm, 20.11.2008: A, valve I, dorsal view; B, valve V, dorsal view; C, valve VIII, dorsal view; D, valve V, ventral view; E, valve V, detail of tegmentum in central and lateral areas; F, valve V, rostral view; G, valve VIII, lateral view.
Figure 11 in Phylogenetic position and morphological descriptions of Chiton species from the south-eastern Pacific
Figure 11. Chiton cumingsii, Chile, Coquimbo, BL 19.5 mm, 05.01.2015: A, C, dorsal and ventral scales and marginal spicules; B, D, radula.
Figure 10 in Phylogenetic position and morphological descriptions of Chiton species from the south-eastern Pacific
Figure 10. Chiton cumingsi, Chile, Coquimbo, BL 19.5 mm, 05.01.2015: A, valve I, dorsal view; B, valve V, dorsal view; C, valve VIII, dorsal view; D, valve VIII, lateral view; E, valve VI, detail of tegmentum in central area; F, valve VI, central and lateral areas.
FIGURE 22 in Description and taxonomic position of a new genus and species of southern African pollen beetle (Coleoptera: Nitidulidae: Meligethinae)
FIGURE 22. Map of known geographic distribution of Restiopria biondii gen. nov., sp. nov. in South Africa (red squares).
Supplementary data to "Geometric morphometrics shows a close relationship between the shape features, position on thalli, and CaCO3 content of segments in Halimeda tuna (Bryopsidales, Ulvophyceae)"
<p>zenodo-landmarks: Landmark coordinates of segment outlines of Halimeda tuna used in the geometric morphometric analyses.</p> <p>zenodo-designation: Designation of individual segments in the order corresponding to the landmark data file.</p> <p>zenodo-script-shape: The script executing the multivariate linear Procrustes ANOVA model decomposing the shape data of Halimeda tuna segments into different sources.</p> <p>zenodo-script-areas: The script computing the areas of Halimeda tuna segments based on their outline morphometric data.</p> <p> </p>
FIGURE 1. A, B in New species of Kamopanorpa Martynov from the Permian of South Siberia with comments on the systematic position of Microptysmatidae (Protomeropina = Permotrichoptera)
FIGURE 1. A, B, Kamopanorpa rasnitsyni sp. nov. A, Holotype PIN 5386/9. B, Paratype PIN 5386/3. C, K. rotunda sp. nov., holotype PIN 5386/5. D, K. sivchikovi sp. nov., holotype PIN 5386/1. E, F, Kamopanorpa spp. E, 5386/8. F, 5386/11. All to the same scale.
FIGURE 2. A in New species of Kamopanorpa Martynov from the Permian of South Siberia with comments on the systematic position of Microptysmatidae (Protomeropina = Permotrichoptera)
FIGURE 2. A, Kamopanorpa rasnitsyni sp. nov. Holotype PIN 5386/9. B, K. sivchikovi sp. nov., holotype PIN 5386/1. C, K. rotunda sp. nov., holotype PIN 5386/5. SEM images.
Data and model code for study: Mechanistic modelling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change
<p>This folder will include data and model code for study: Mechanistic modelling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change.</p>
FIGURE 31 in Systematic position of Bombyx incomposita (Lepidoptera: Bombycidae), with notes on its immature biology and hostplant association
FIGURE 31. Phylogenetic tree of the Bombycinae for 6 genera (11 species) constructed using maximum likelihood and Bayesian inference for the combined 6 genes (COI, CAD, EF-1α, GAPDH, RpS5 and wgl). Bombyx incomposita is sister to B. huttoni. Support values are indicated by bootstrap and Bayesian posterior probability on respective branches. Branch lengths are proportional to inferred substitution rate.
FIGURES 24–30 in Systematic position of Bombyx incomposita (Lepidoptera: Bombycidae), with notes on its immature biology and hostplant association
FIGURES 24–30. Genitalia and wing venation of Bombyx incomposita: 24, male genitalia; 25, phallus (posterior on the right, anterior on the left); 26, tergum VIII; 27, sternum VIII; 28, female genitalia; 29, forewing; 30, hindwing. Scale bars = 2 mm and 10 mm (Figs. 29–30).
FIGURES 16–23 in Systematic position of Bombyx incomposita (Lepidoptera: Bombycidae), with notes on its immature biology and hostplant association
FIGURES 16–23. Egg and the first instar of Bombyx incomposita under scanning electron microscopy: 16, general view of egg; 17, surface structure of chorion; 18, general view of larva in lateral; 19, head in lateral view; 20, head in anterior view; 21, T1 shield in lateral view; 22, lateral view of A3–A10; 23, D group on A8.
FIGURES 1–4 in Systematic position of Bombyx incomposita (Lepidoptera: Bombycidae), with notes on its immature biology and hostplant association
FIGURES 1–4. Adults of Bombyx incomposita (Perak, Malasia): 1, dorsal view of male; 2, ventral view of male; 3, dorsal view of female; 4, ventral view of female. Scale bar = 10 mm.
FIGURES 5–15 in Systematic position of Bombyx incomposita (Lepidoptera: Bombycidae), with notes on its immature biology and hostplant association
FIGURES 5–15. Immature stages of Bombyx incomposita: 5, eggs; 6, first instar in lateral view; 7, first instar in dorsal view; 8, second instar; 9, third instar; 10, fourth instar in lateral view; 11, fourth instar in dorsal view; 12, fifth instar in lateral view; 13, fifth instar in dorsal view; 14, head capsule of fifth instar in frontal view; 15, A8 middorsal horn of fifth instar. Scale bars = 1 mm (Figs. 5–7) and 5 mm (Figs. 8–15).
Positive forest cover effects on coffee yields are consistent across regions
<p class="PargrafodaLista1CxSpFirst"><span>1. Enhancing biodiversity-based ecosystem services can generate win-win opportunities for conservation and agricultural production. Pollination and pest control are two essential agricultural services provided by mobile organisms, many depending on native vegetation networks beyond the farm scale. Many studies have evaluated the effects of landscape changes on such services at small scales. However, several landscape management policies (e.g., selection of conservation sites) and associated funding allocation occur at much larger spatial scales (e.g., state or regional level). Therefore, it is essential to understand whether the links between landscape, ecosystem services, and crop yields are robust across broad and heterogeneous regional conditions.</span></p> <p class="PargrafodaLista1CxSpMiddle"><span>2. Here, we used data from 610 Brazilian municipalities within the Atlantic forest region (~50 Mha) and show that forest is a crucial factor affecting coffee yields, regardless of regional variations in soil, climate and management practices. We found forest cover surrounding coffee fields was better at predicting coffee yields than forest cover at the municipality level. Moreover, the positive effect of forest cover on coffee yields was stronger for <i>Coffea canephora</i>, the species with higher pollinator dependence, than for <i>C. arabica</i>. Overall, coffee yields were highest when coffee fields were near to forest fragments, mostly in landscapes with intermediate to high forest cover (> 20%), above the biodiversity extinction threshold. </span></p> <p class="PargrafodaLista1CxSpMiddle"><span>3. Coffee cover was the most relevant management practice associated with coffee yield prediction. An increase in crop area was associated with a higher yield, but mostly in high forest covers municipalities. Other localized management practices like irrigation, pesticide use, organic manure, and honey-bee density had little importance in predicting coffee yields than landscape structure parameters. Neither the climatic or topographic variables were as relevant as forest cover at predicting coffee yields. </span></p> <p class="PargrafodaLista1CxSpLast"><span><a>4. <i>Synthesis</i></a><i> and application. </i>Our work provides evidence that landscape relationships with ecosystem service provision are consistent across regions with different agricultural practices and environmental conditions. These results provide a way in which landscape management can articulate small landscape management with regional conservation goals. Policies directed towards increasing landscape interspersion of coffee fields with forest remnants favor spillover process, and can thus benefit the provision of biodiversity-based ecosystem services, increasing agricultural productivity. Such interventions can generate win-win situations favoring biodiversity conservation and increased crop yields across large <a>regions.</a></span></p>
FIGURE 3 in Osteological description of Pseudopaludicola canga with implications for the taxonomic position of this taxon
FIGURE 3. Strict consensus of 16 maximum parsimony trees obtained using the same characters and analytical parameters as in Lobo (1995). The black arrow indicates the taxonomic position of P. c a n g a.
FIGURE 1 in Osteological description of Pseudopaludicola canga with implications for the taxonomic position of this taxon
FIGURE 1. Pseudopaludicola canga osteology. Skull: A) dorsal view; B) ventral view. C) Maxilar process of the quadratojugal; D) Descendant process of the squamosal. E) palmar view of hand; F) vertebral column; G) plantar view of foot. Scale bar 500 µm (C–D) and 1 mm (A–B; E–G).
FIGURE 2. The IV in Osteological description of Pseudopaludicola canga with implications for the taxonomic position of this taxon
FIGURE 2. The IV digit toe tip in Pseudopaludicola species. A) P. canga (MPEG 34369) 14700); B) P. falcipes (LGE 3125); C) P. pusilla (ICN 14700); D) P. llanera (ICN 14025); E) P. boliviana (LGE 3027); F) P. ceratophyes (INPA 3540). Scale bar 1 mm.
FIGURE 2. Lacertopontonia chadi Marin, 2011, dactylus ambulatory pereiopod. A–C in A second discovery of Lacertopontonia chadi Marin, 2011 (Crustacea: Decapoda: Palaemonidae), with remarks on its systematic position
FIGURE 2. Lacertopontonia chadi Marin, 2011, dactylus ambulatory pereiopod. A–C, male (RMNH.CRUS.D.53857), Semporna; D, male paratype (RMNH.CRUS.D.54783), Lizard Island; ovigerous female paratype (RMNH.CRUS.D.54783), Lizard Island. A, third right pereiopod, lateral view; B, same, median view; C, fifth left pereiopod, median view D, fifth right pereiopod, median view; E, right exopod of uropod, distolateral part. Scale bar = 0.5 mm.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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.
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.