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A in Predatory Dinosaurs of the World
A running Albertosaurus libratus youngster, or an adult Albertosaurus sternbergi.
Fig. 4 in Predatory behaviors: Pristimantis savagei (Anura: Craugastoridae) as prey of Trechalea sp. spiders (Araneae: Trechaleidae) in a sector of the Piedemonte Llanero, Villavicencio, Colombia
Fig. 4. Trechalea sp. individual secreting its digestive juices.
Fig. 1 in Starvation time and predatory efficiency of spider species on Bemisia tabaci (Homoptera: Aleyrodidae)
Fig. 1. Feeding efficiency of different spider species in the laboratory experiment.
Table 1 in Predation and oviposition potential of Brazilian populations of the predatory mite Amblyseius tamatavensis (Acari: Phytoseiidae) on eggs of Bemisia tabaci (Insecta: Hemiptera)
<p><b>Table 1</b> Sites and plants where the populations of <i>Amblyseius tamatavensis</i> were collected in Brazil (May 2015 to May 2016).</p><table><tbody><tr><th>Populations</th><th><b>Substrate</b></th></tr></tbody><tbody><tr><th>1.Olho d’Água das Flores (Alagoas)</th><td><i>Ipomoea pes-caprae</i> (Convolvulaceae)</td></tr><tr><th>2.Jataí (Goiás)</th><td>Several plants</td></tr><tr><th>3.Nova Crixás (Goiás)</th><td>Several plants</td></tr><tr><th>4.Bom Repouso (Minas Gerais)</th><td>Several plants</td></tr><tr><th>5.Ituiutaba (Minas Gerais)</th><td>Several plants</td></tr><tr><th>6.Senador Amaral (Minas Gerais)</th><td>Several plants</td></tr><tr><th>7.Campinas (São Paulo)</th><td><i>Psidium guajava</i> (Myrtaceae)</td></tr><tr><th>8.Cananéia (São Paulo)</th><td><i>Persea americana</i> (Lauraceae)</td></tr><tr><th>9.Mogi Guaçu (São Paulo)</th><td><i>Citrus</i> sp. (Rutaceae)</td></tr><tr><th>10.Piracicaba, ESALQ (São Paulo)</th><td><i>Gossypium</i> sp. (Malvaceae)</td></tr><tr><th>11.Piracicaba, Areão (São Paulo)</th><td><i>Rosa</i> sp. (Rosaceae)</td></tr><tr><th>12.Saltinho (São Paulo)</th><td><i>Cocos nucifera</i> (Arecaceae)</td></tr><tr><th>13.Santa Maria da Serra (São Paulo)</th><td>Several plants</td></tr><tr><th>14. Laboratory</th><td><i>Capsicum annuum</i> (Solanaceae)</td></tr></tbody></table>
Table 3 in Predation and oviposition potential of Brazilian populations of the predatory mite Amblyseius tamatavensis (Acari: Phytoseiidae) on eggs of Bemisia tabaci (Insecta: Hemiptera)
<p><b>Table 3</b> Daily means (± standard error of the mean) of eggs of <i>Bemisia tabaci</i> killed and eggs laid by adult female of populations of <i>Amblyseius tamatavensis</i> collected in different Brazilian municipalities.</p><table><tbody><tr><th><b>Collection sites</b></th><th><b>Predation</b></th><th><b>Oviposition</b></th></tr></tbody><tbody><tr><th>Olho d’água das Flores</th><td>7.9 ± 0.7 a</td><td>1.2 ± 0.2 a</td></tr><tr><th>Laboratório</th><td>7.0 ± 0.4 b</td><td>1.1 ± 0.3 ab</td></tr><tr><th>Jataí</th><td>6.5 ± 0.4 c</td><td>0.8 ± 0.1 c</td></tr><tr><th>Saltinho</th><td>6.5 ± 0.3 c</td><td>1.0 ± 0.1 b</td></tr><tr><th>Mogi-Guaçu</th><td>6.5 ± 0.3 c</td><td>0.8 ± 0.0 c</td></tr><tr><th>Piracicaba - Fazenda Areão</th><td>6.5 ± 0.2 c</td><td>1.0 ± 0.2 b</td></tr><tr><th>Senador Amaral</th><td>6.5 ± 0.1 c</td><td>0.9 ± 0.3 bc</td></tr><tr><th>Bom Repouso</th><td>6.3 ± 0.3 cd</td><td>0.9 ± 0.2 bc</td></tr><tr><th>Ituiutaba</th><td>6.3 ± 0.2 cd</td><td>0.8 ± 0.1 c</td></tr><tr><th>Campinas</th><td>6.3 ± 0.2 cd</td><td>1.0 ± 0.1 b</td></tr><tr><th>Cananéia</th><td>6.3 ± 0.1 cd</td><td>0.9 ± 0.2 bc</td></tr><tr><th>Santa Maria da Serra</th><td>6.1 ± 0.4 d</td><td>0.8 ± 0.1 c</td></tr><tr><th>Piracicaba - ESALQ</th><td>6.0 ± 0.5 d</td><td>0.9 ± 0.1 bc</td></tr><tr><th>Nova Crixás</th><td>5.0 ± 0.3 e</td><td>0.7 ± 0.2 c</td></tr></tbody></table><p>For each column, rates followed by the same letter are not statistically different (Kruskal-Wallis ANOVA; Dunn´s test).</p>
The influence of food web structure and foraging behaviour on visual system traits in a predatory freshwater fish
<p>Dataset used in the manuscript titled "The influence of food web structure and foraging behaviour on visual system traits in a predatory freshwater fish" Dataset includes lake trout visual system traits, body size, and food web structural attributes sampled from four different lakes in Algonquin, ON, Canada.</p>
Figure 2 in Evaluation of prey stage preference of the predatory miteNeoseiulus longispinosus (Evans) on the spider mite pest Tetranychus neocaledonicus (André) (Acari: Phytoseiidae, Tetranychidae)
Figure 2 Mean consumption rate (%) of nymphs of Neoseiulus longispinosus on different life stages
Figure 1 in Evaluation of prey stage preference of the predatory miteNeoseiulus longispinosus (Evans) on the spider mite pest Tetranychus neocaledonicus (André) (Acari: Phytoseiidae, Tetranychidae)
Figure 1 Mean consumption rate (%) of adults of Neoseiulus longispinosus on different life stages
Figure 4 in Suitability of different pollen grains and Tetranychus urticae as food for the predatory mite, Amblyseius swirskii (Acari: Phytoseiidae)
Figure 4. Exine patterns of four plant pollens prepared using a Scanning Electron Microscopy (SEM).
Fig. 2 in New record of predatory thrips, Aeolothrips melaleucus (Thysanoptera, Aeolothripidae) from Iran
Fig. 2: Aeolothrips versicolor, female (A) head; (B) leg; (C) forewing.
Figure 1 in Use of predatory mites in commercial biocontrol: current status and future prospects
Figure 1 Development of the moisture content in potting soil samples in Berlese-Tullgren funnels
Figure 2 in Use of predatory mites in commercial biocontrol: current status and future prospects
Figure 2 Number of Macrocheles robustuluscollected in the collection vials without prey mites (A)
Figure 3 in Use of predatory mites in commercial biocontrol: current status and future prospects
Figure 3 Number of Gaeolaelaps aculeifercollected in the collection vials without prey mites (A)
FIGURE 2 in Does Artificial Selection For Fixed Prey Preference Affect Learning In A Predatory Mite? Experiments To Unravel Mechanisms Underlying Polyphagy In Hypoaspis Aculeifer
FIGURE 2: Preference of T-line predators, expressed as percentages (horizontal bars) of individuals choosing prey T (0 to 100%) or prey R (0 to -100%) for four replicates and three starvation treatments: (a) – in presence of odour from prey R, (b) – in presence of odour from prey T or (c) – in absence of prey odour. Numbers shown left and right of the horizontal bars represent number of predators choosing prey R (left) or prey T (right) for each replicate experiment.
FIGURE 1 in Does Artificial Selection For Fixed Prey Preference Affect Learning In A Predatory Mite? Experiments To Unravel Mechanisms Underlying Polyphagy In Hypoaspis Aculeifer
FIGURE 1: Preference of R-line predators, expressed as percentages (horizontal bars) of individuals choosing prey T (0 to 100%) or prey R (0 to -100%) for four replicates and three starvation treatments: (a) – in presence of odour from prey R or (b) – prey T or (c) – in absence of prey odour. Numbers shown left and right of the horizontal bars represent number of predators choosing prey R (left) or prey T (right) for each replicate experiment.
FIGURE 3 in Phytophagous and predatory mites on olive trees in Tunisia. Catalogue, description of one new species and key for identification (Acari, Eriophyidae, Tetranychidae, Tenuipalpidae and Phytoseiidae)
FIGURE 3: Calyx of the spermatheca (a), Chelicera (b) and Macrosetae on leg IV (c) of the female of Typhlodromus (Anthoseius) mathieui n. sp.
Tyrannosaurus (Daspletosaurus) torosus type NMC 8506 and AMNH 5438 in Predatory Dinosaurs of the World
Tyrannosaurus (Daspletosaurus) torosus type NMC 8506 and AMNH 5438
Spatial learning overshadows learning odors and sounds in both predatory and frugivorous bats
<p>To forage efficiently, animals should selectively attend to and remember the cues of food that best predict future meals. One hypothesis is that animals with different foraging strategies should vary in their reliance on spatial versus feature cues. Specifically, animals that store food in dispersed caches or that feed on spatially stable food, like fruit or flowers, should be relatively biased to learning a meal's location, whereas predators that hunt mobile prey should instead be relatively biased towards learning feature cues such as odor or sound. Several authors have predicted that nectar-feeding and fruit-feeding bats would rely relatively more on spatial cues, whereas closely related predatory bats would rely more on feature cues, yet no experiment has compared these two foraging strategies under the same conditions. To test this hypothesis, we compared learning in the frugivorous bat, <em>Artibeus jamaicensis</em>, and the predatory bat, <em>Lophostoma silvicolum</em>, which hunts katydids using acoustic cues. We trained bats to find food paired with a unique and novel odor, sound, and location. To assess which cues each bat had learned, we then dissociated these cues to create conflicting information. Rather than finding that the frugivore and predator clearly differ in their relative reliance on spatial versus feature cues, we found that both species used spatial cues over sounds or odors in subsequent foraging decisions. We interpret these results alongside past findings on how foraging animals use spatial cues versus feature cues and explore why spatial cues may be fundamentally more rich, salient, or memorable.</p>
Temperature-driven selection of predatory mirid bugs for im-proving aphid control in sweet pepper crops
<p><strong>Figure 1. </strong>Number (mean ± SE) of fourth instar nymphs of <em>M. persicae nicotianae</em> consumed by females of <em>N. tenuis</em>, <em>M. pygmaeus</em> and <em>D. bolivari </em>on sweet pepper leaf discs at 18, 24 and 30 ºC ± 1º C and 14:10 h L:D. Bars topped by different letters represent means that are significantly different among species (ANOVA P < 0.05).</p> <p><strong>Table 1.</strong> Mean (± SE) duration of nymph stages (days) of <em>N. tenuis</em>, <em>M. pygmaeus</em> and <em>D. bolivari</em> preying on <em>M. persicae</em> <em>nicotianae</em> on sweet pepper leaf discs at 18, 24 and 30 ºC ± 1º C and 14:10 h L:D. Means within a row followed by the same letter are not significantly different (Tukey test; P > 0.05).</p> <p><strong>Figure 2. </strong>Instar-specific survival (%) of the immature stages of <em>N. tenuis</em>, <em>M. pygmaeus</em> and <em>D. bolivari</em> when preying on <em>M. persicae</em> <em>nicotianae</em> on sweet pepper leaf discs at 18, 24 and 30 ºC ± 1º C and 14:10 h L:D.</p> <p><strong>Table 2.</strong> Mean (± SE) life time fertility (total offspring produced/female), female longevity (days) and progeny sex ratio (percentage of females/total offspring) of <em>N. tenuis</em>, <em>M. pygmaeus</em> and <em>D. bolivari</em> preying on <em>M. persicae</em> <em>nicotianae</em> on sweet pepper leaf discs at 18, 24 and 30 ºC ± 1º C and 14:10 h L:D.</p> <p><strong>Figure 3. </strong>Age-specific fertility (number of N<sub>1</sub> produced/female/day ± SE) of <em>N. tenuis</em>, <em>M. pygmaeus</em> and <em>D. bolivari</em> preying on <em>M. persicae</em> <em>nicotianae</em> on sweet pepper leaf discs at 18 (A), 24 (B) and 30 ºC ± 1º C (C) and 14:10 h L:D.</p>
Genetic diversity varies with species traits and latitude in predatory soil arthropods (Myriapoda: Chilopoda)
<p><strong>Aim</strong></p> <p>To investigate the drivers of intra-specific genetic diversity in centipedes, a group of ancient predatory soil arthropods.</p> <p><strong>Location</strong></p> <p>Asia, Australasia and Europe</p> <p><strong>Time period</strong></p> <p>Present</p> <p><strong>Major taxa studied</strong></p> <p>Centipedes (Class: Chilopoda)</p> <p><strong>Methods</strong></p> <p>We assembled a database of 1245 mitochondrial cytochrome c oxidase subunit I sequences representing 128 centipede species from all five orders of Chilopoda. This sequence dataset was used to estimate genetic diversity for centipede species and compare its distribution with estimates from other arthropod groups. We studied the variation in centipede genetic diversity with species traits and biogeography using a beta regression framework, controlling for the effect of shared evolutionary history within a family.</p> <p><strong>Results</strong></p> <p>A wide variation in genetic diversity across centipede species (0 to 0.1713) falls towards the higher end of values among arthropods. Overall, 27.57% of the variation in mitochondrial COI genetic diversity in centipedes was explained by a combination of predictors related to life history and biogeography. Genetic diversity decreased with body size and latitudinal position of sampled localities, was greater in species showing maternal care and increased with geographic distance among conspecifics.</p> <p><strong>Main conclusions</strong></p> <p>Centipedes fall towards the higher end of genetic diversity among arthropods, which may be related to their long evolutionary history and low dispersal ability. In centipedes, the negative association of body size with genetic diversity may be mediated by its influence on local abundance or the influence of ecological strategy on long-term population history. Species with maternal care had higher genetic diversity, which goes against expectations and needs further scrutiny. Hemispheric differences in genetic diversity can be due to historic climatic stability and lower seasonality in the southern hemisphere. Overall, we find that despite the differences in mean genetic diversity among animals, similar processes related to life history strategy and biogeography are associated with the variation within them.</p>
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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)
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.