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126 results for “Predator–prey interactions”
Predator-prey interactions between bacteria and the nematode Caenorhabditis elegans via interkingdom signaling molecule indole
GEO Series GSE86312. Caenorhabditis elegans. 4 samples. Type: Expression profiling by array.
Data from: Effects of warming on predator–prey interactions – a resource-based approach and a theoretical synthesis
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Figure 5 in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 5. Climatic variability of Body Condition Index (BCI). a) Boxplot showing BCI as the residual value of mass predicted from a linear regression of log-transformed body mass versus logtransformed body length summarised by month on the entire sampling period (n = 425). Box represents the interquartile range, the line across the box indicates the median, the minimal and maximal values are provided with the whiskers. b) Time series showing BCI monthly variability through the good (without ENSO effects) and bad (under ENSO effects) years. The shaded area represents 95% confidence intervals. The solid line represents BCI median value. Zigzag lines represent the residual values at each sampling visit.
Figure 7 in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 7. Multiple regression models. Top: chart depicting the 'best' regression models that explains the abundance variability of Ninia atrata observed (n = 425) during the sampling visits (n = 32). Bottom: barplot illustrating the individual contributions of the variables selected. Dependent variable: Ln–transformed abundance of Ninia atrata (LNN) Independent variables. Ln-transformed snail abundance (LNVar3), Ln–transformed leech abundance (LNVar6), and Ln–transformed height of palm leaf piles (LNVar8).
Figure 2. Prey preference and stomach content states. a in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata
Figure 2. Prey preference and stomach content states. a) Percentage of prey-items in the stomach content and available in the environment. b) stomach contents categories.
Inferring predator–prey interaction in the subterranean environment: a case study from Dinaric caves
<p>The datasets used in the analyses of predator-prey interactions in the subterranean environment of the Dinarides. We used spatial and phylogenetic methods and probabilistic model of species co-occurrence to asses the defensive role of spines in <em>Niphargus </em>amphipods against the olm's predation. We provide Dinaric distribution data for both <em>Niphargus </em>and the olm used in spatial and probabilistic analyses, as well as <em>Niphargus </em>phylogenetic tree and trait matrices used in trait evolution analyses.</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.