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Data from: Removing interactions, rather than species, casts doubt on the high robustness of pollination networks
负责人:
关键词:
Network robustness;Mutualistic Network;Link removal
DOI:
doi:10.5061/dryad.73520
摘要:
on a disturbance affecting species at random or beginning with the least connected species. Therefore, further empirical study of plant–pollinator interactions
Data from: Competing opinion diffusion on social networks
负责人:
关键词:
opinion diffusion;social networks;competition;complex networks
DOI:
doi:10.5061/dryad.h4b5d
摘要:
characterized. We analytically obtain the probability that each opinion will ultimately pervade the whole society when there are no committed people in networks
Data from: Tropical arboreal ants form dominance hierarchies over nesting resources
负责人:
关键词:
interspecific competition;dominance hierarchy;Berkeley;networks;arboreal ants
DOI:
doi:10.5061/dryad.1t0s20m
摘要:
o assessed the orderliness of the hierarchy by considering species interactions at the network level. Based on the randomized Elo-rating method, we found tha
Data from: Trait-based modeling of multi-host pathogen transmission: plant-pollinator networks
负责人:
关键词:
Modeling: epidemiological;Theory;Interactions: plant\/insect;Modeling: matrix;Epidemiology;Bees;Interactions: host\/pathogen
DOI:
doi:10.5061/dryad.730n045
摘要:
zed plant-pollinator interactions based on trait matching. We find that disease spread in plant-pollinator networks is impacted the most by selective pollinators, uni
Data from: Travelling Wave Pulse Coupled Oscillator (TWPCO) Using a Self-Organizing Scheme for Energy-efficient Wireless Sensor Networks
负责人:
关键词:
DOI:
doi:10.5061/dryad.3f151
摘要:
Recently, Pulse Coupled Oscillator (PCO)-based travelling waves have attracted substantial attention by researchers in wireless sensor network
Data from: Matching-centrality decomposition and the forecasting of new links in networks
负责人:
关键词:
ecological networks;metabolic networks;social networks;complex networks;missing links
DOI:
doi:10.5061/dryad.5fn84
摘要:
. Then we provide three applications. First, we show that the model allows very accurate prediction of missing links in partially known networks. Second, when node
Data from: Sharpening coarse-to-fine stereo vision by perceptual learning: asymmetric transfer across the spatial frequency spectrum
负责人:
关键词:
stereopsis;vision enhancement;specificity and generalization;visual plasticity
DOI:
doi:10.5061/dryad.3td7f
摘要:
investigated whether stereoacuity, over a large range of target spatial frequencies, can be enhanced by perceptual learning. Using narrow-band visual stimuli
Data from: Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plants
负责人:
关键词:
Arabidopsis thaliana;plant biology;Gene networks;Nitrogen Assimilation;Systems biology
DOI:
doi:10.5061/dryad.248g184
摘要:
underlying dynamic N signaling. To infer transcription factor (TF)-target edges in a GRN, we applied a time-based machine learning method to 2,174
Data from: Multi-network-based diffusion analysis reveals vertical cultural transmission of sponge tool use within dolphin matrilines
负责人:
Wild, Sonja
关键词:
vertical social learning bottlenose dolphins NBDA culture sponging tool use
DOI:
doi:10.5061/dryad.sc26m6c
摘要:
of social learning on the diffusion of sponging, for the first time explicitly accounting for ecological and genetic factors, using a multi-network version of ‘network

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