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10 results for “predatory interactions”

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zenodo40/100

Figure 3 in Predatory capacity and intraguild interaction between aphidophagous predators in the control of rose bush aphids

Figure 3 Time spent by Hippodamia convergens (Coccinellidae) in each behavioral category evaluated in the presence and absence of prey and another predator (Chrysoperla externa – Chrysopidae), during 60 minutes. Temperature of 25±1°C, relative humidity of 70±10% and 12-hour photophase. Average time (%) followed by the same letters do not differ from each other by the Kruskal-Wallis and Dunn's Test p<0.05.

opencc-by-4.0May 2023View details →
zenodo40/100

Figure 2 in Predatory capacity and intraguild interaction between aphidophagous predators in the control of rose bush aphids

Figure 2 Time spent by Chrysoperla externa (Chrysopidae) in each behavioral category evaluated in the presence and absence of prey and another predator (Hippodamia convergens– Coccinellidae),during 60 minutes.Temperature of 25±1°C, relative humidity of 70±10% and 12-hour photophase. Average time (%) followed by the same letters do not differ from each other by the Kruskal-Wallis and Dunn's Test p<0.05

opencc-by-4.0May 2023View details →
zenodo40/100

Figure 1 in Predatory capacity and intraguild interaction between aphidophagous predators in the control of rose bush aphids

Figure 1 Survival rate of predators Chrysoperla externa (Chrysopidae) andHippodamia convergens (Coccinellidae) in the presence and absence of Rhodobium posorum and Macrosiphum rosae (Aphididae). Temperature of 25±1°C, relative humidity of 70±10% and 12-hour photophase.

opencc-by-4.0May 2023View details →
dryad40/100

Predatory interactions of Gorareduvius with and without resin

<p><em>Gorareduvius</em> sp. (proposed name G. <em>gajarrangarang</em> is under revision) assassin bugs collect a sticky resin from spinifex grass (<em>Triodia</em> spp) in Australia. We evaluated whether this resin conveys a predatory advantage to the assassin bugs, by staging predatory interactions in the field, under controlled conditions. Assassin bugs were sequentially exposed to two types of prey (ants and flies), and while being equipped with or deprived of resin. This was a repeated measures design that controlled for individual predatory ability, in which the order of the trials was randomized. The predatory interactions yielded four different types of data, which were analyzed separately, as detailed below. </p>

opencc-zeroApr 2023View details →
dryad40/100

Predatory interactions of Gorareduvius with and without resin

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publicApr 2023View details →
dryad36/100

Data from: Concealed by darkness: interactions between predatory bats and nocturnally migrating songbirds illuminated by DNA sequencing

Recently, several species of aerial-hawking bats have been found to prey on migrating songbirds, but details on this behaviour and its relevance for bird migration are still unclear. We sequenced avian DNA in feather-containing scats of the bird-feeding bat Nyctalus lasiopterus from Spain collected during bird migration seasons. We found very high prey diversity, with 31 bird species from eight families of Passeriformes, almost all of which were nocturnally flying sub-Saharan migrants. Moreover, species using tree hollows or nest boxes in the study area during migration periods were not present in the bats' diet, indicating that birds are solely captured on the wing during night-time passage. Additional to a generalist feeding strategy, we found that bats selected medium-sized bird species, thereby assumingly optimizing their energetic cost-benefit balance and injury risk. Surprisingly, bats preyed upon birds half their own body mass. This shows that the 5% prey to predator body mass ratio traditionally assumed for aerial hunting bats does not apply to this hunting strategy or even underestimates these animals' behavioural and mechanical abilities. Considering the bats' generalist feeding strategy and their large prey size range, we suggest that nocturnal bat predation may have influenced the evolution of bird migration strategies and behaviour.

opencc-zeroDec 2015View details →
dryad36/100

Behavioral interactions between bacterivorous nematodes and predatory bacteria in a synthetic community

Theory and empirical studies in metazoans predict that apex predators should shape the behavior and ecology of mesopredators and prey at lower trophic levels. Despite the ecological importance of microbial communities, few studies of predatory microbes examine such behavioral res-ponses and the multiplicity of trophic interactions. Here, we sought to assemble a three-level microbial food chain and to test for behavioral interactions between the predatory nematode Caenorhabditis elegans and the predatory social bacterium Myxococcus xanthus when cultured together with two basal prey bacteria that both predators can eat—Escherichia coli and Flavobacterium johnsoniae. We found that &gt;90% of C. elegans worms failed to interact with M. xanthus even when it was the only potential prey species available, whereas most worms were attracted to pure patches of E. coli and F. johnsoniae. In addition, M. xanthus altered nematode predatory behavior on basal prey, repelling C. elegans from two-species patches that would be attractive without M. xanthus, an effect similar to that of C. elegans pathogens. The nematode also influenced the behavior of the bacterial predator: M. xanthus increased its predatory swarming rate in response to C. elegans in a manner dependent both on basal-prey identity and on worm density. Our results suggest that M. xanthus is an unattractive prey for some soil nematodes and is actively avoided when other prey are available. Most broadly, we found that nematode and bacterial predators mutually influence one another's predatory behavior, with likely consequences for coevolution within complex microbial food webs.

opencc-zeroJun 2021View details →
dryad36/100

Data from: Concealed by darkness: interactions between predatory bats and nocturnally migrating songbirds illuminated by DNA sequencing

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publicAug 2016View details →
dryad36/100

Behavioral interactions between bacterivorous nematodes and predatory bacteria in a synthetic community

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publicJul 2022View details →
dryad28/100

Data from: Geographic variation of parasitic and predatory traces on mollusks in the northern Adriatic Sea, Italy: implications for the stratigraphic paleobiology of biotic interactions

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publicSep 2014View 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
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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.

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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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