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62 results for “trait network”
Data from: Incorporating alternative interaction modes, forbidden links and trait-based mechanisms increases the minimum trait dimensionality of ecological networks
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Linking species-level network metrics to flower traits and plant fitness
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Plant species with the trait of continuous flowering do not hold core roles in a Neotropical lowland plant-pollinating insect network
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Test set - 4023 PubMed abstracts (for manuscript: Extracting knowledge networks from plant scientific literature: Potato tuber flesh color as an exemplary trait )
<p>A .zip archive containing the set of abstracts used in the test set (4023 abstracts from PubMed) in .txt format.</p> <p>This archive contains supplementary files for the manuscript Extracting knowledge networks from plant scientific literature: Potato tuber flesh color as an exemplary trait.</p>
Data from: Trait-based modeling of multi-host pathogen transmission: plant-pollinator networks
Epidemiological models for multi-host pathogen systems often classify individuals taxonomically and use species-specific parameter values, but in species-rich communities, that approach may require intractably many parameters. Trait-based epidemiological models offer a potential solution, but have not accounted for within-species trait variation or between-species trait overlap. Here, we propose and study trait-based models with host and vector communities represented as trait distributions without regard to species identity. To illustrate this approach, we develop SIS models for disease spread in plant-pollinator networks with continuous trait distributions. We model trait-dependent contact rates in two common scenarios: nested networks, and specialized plant-pollinator interactions based on trait matching. We find that disease spread in plant-pollinator networks is impacted the most by selective pollinators, universally attractive flowers, and co-specialized plant-pollinator pairs. When extreme pollinator traits are rare, pollinators with common traits are most important for disease spread, whereas when extreme flower traits are rare, flowers with uncommon traits impact disease spread the most. Greater nestedness and specialization both typically promote disease persistence. Given recent pollinator declines caused in part by pathogens, we discuss how trait-based models could inform conservation strategies for wild and managed pollinators. Furthermore, while we have applied our model to pollinators and pathogens, its framework is general and can be transferred to any kind of species interactions, in any community.
Data from: Trophic level, successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles
The specialization of ecological networks provides important insights into possible consequences of biodiversity loss for ecosystem functioning. However, mostly mutualistic and antagonistic interactions of living organisms have been studied, whereas detritivore networks and their successional changes are largely unexplored. We studied the interactions of saproxylic (deadwood-dependent) beetles with their dead host trees. In a large-scale experiment, 764 logs of 13 tree species were exposed to analyse network structure of three trophic groups of saproxylic beetles over 3 successional years. We found remarkably high specialization of deadwood-feeding xylophages and lower specialization of fungivorous and predatory species. During deadwood succession, community composition, network specialization and network robustness changed differently for the functional groups. To reveal potential drivers of network specialization, we linked species' functional traits to their network roles, and tested for trait matching between plant (i.e. chemical compounds) and beetle (i.e. body size) traits. We found that both plant and animal traits are major drivers of species specialization, and that trait matching can be more important in explaining interactions than neutral processes reflecting species abundance distributions. High network specialization in the early successional stage and decreasing network robustness during succession indicate vulnerability of detritivore networks to reduced tree species diversity and beetle extinctions, with unknown consequences for wood decomposition and nutrient cycling.
Data from: Trophic level, successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles
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Data from: Trait-based modeling of multi-host pathogen transmission: plant-pollinator networks
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Data from: How group composition affects cooperation in fixed networks: can psychopathic traits influence group dynamics?
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Bacteriophage lambda overcomes a perturbation in its host‐viral genetic network through mutualism and evolution of life history traits
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Tracing Enhancer Networks using Epigenetic Traits (TENET)
GEO Series GSE78913. Homo sapiens. 29 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
A temperature-responsive network links cell shape and virulence traits in a primary fungal pathogen
GEO Series GSE47832. Histoplasma capsulatum. 108 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by genome tiling array.
Trait Anxiety and Defensive Networks
ClinicalTrials.gov study NCT02682888. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A temperature-responsive network links cell shape and virulence traits in a primary fungal pathogen -- ChIP-chip
GEO Series GSE47341. Histoplasma capsulatum. 20 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Transcriptomic and network analyses reveal immune modulation by endocannabinoids in approach/avoidance traits
GEO Series GSE196849. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
The trait of MS: Altered transcription regulation of nuclear receptors networks operate in the pre-disease state
GEO Series GSE14895. Homo sapiens. 64 samples. Type: Expression profiling by array.
A temperature-responsive network links cell shape and virulence traits in a primary fungal pathogen -- T-DNA mutants (2)
GEO Series GSE46937. Histoplasma capsulatum. 18 samples. Type: Expression profiling by array.
A temperature-responsive network links cell shape and virulence traits in a primary fungal pathogen -- T-DNA mutants (1)
GEO Series GSE46936. Histoplasma capsulatum. 16 samples. Type: Expression profiling by array.
A temperature-responsive network links cell shape and virulence traits in a primary fungal pathogen -- RNAi mutants (1)
GEO Series GSE46938. Histoplasma capsulatum. 36 samples. Type: Expression profiling by array.
A temperature-responsive network links cell shape and virulence traits in a primary fungal pathogen -- RNAi mutants (2)
GEO Series GSE46939. Histoplasma capsulatum. 18 samples. Type: Expression profiling by array.
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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.