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40 results for “Transmission network”
Data from: Linking social and spatial networks to viral community phylogenetics reveals subtype-specific transmission dynamics in African lions
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The global network of domestic mammal hosts and zoonotic bacteria: Implications for disease transmission and detection
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Data from: Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees.
Claims of culture in animals have been stimulated by studies on a wide range of taxa revealing group-specific behavior patterns that remain stable through generations, consistent with different behavioral innovations spreading within groups by social transmission in a manner similar to human culture. In chimpanzees, 39 behaviors have been identified as 'cultural', because alternative genetic and environmental explanations for the observed regional variation appear less plausible. This interpretation is supported by experimental data from captive chimpanzee groups. However, there is no experimental evidence for social learning in the wild, nor has there been direct observation of social diffusion of spontaneously occurring behavioral innovations. Here, we document the spread of two novel tool-use variants, 'moss-sponging' and 'leaf-sponge re-use', in the Sonso chimpanzee community of Budongo Forest, Uganda. We use traditional network-based diffusion analysis (NBDA) to test whether these novel behaviors spread by social learning, as well as a newly developed dynamic version of NBDA, capable of capturing temporal aspects of acquisition, i.e. how each successive personal observations impact the subsequent acquisition of behavior. Both models provide strong evidence that diffusion patterns of moss-sponging, but not leaf-sponge re-use, are significantly better explained by social than asocial learning, therefore showing that wild chimpanzees socially learned moss-sponging from each other. The most conservative estimate of social transmission accounts for 85% of observed events with an estimated 11-fold increase in learning rate for each time a novice observed an informed individual performing moss-sponging. We conclude that group-specific behavioral variants in chimpanzees can be socially learned, suggesting this prerequisite for culture originated in a common ancestor of great apes and humans, long before the advent of modern humans.
Data from: High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection
Contact patterns strongly influence the dynamics of disease transmission in both human and non-human animal populations. Domestic dogs Canis familiaris are a social species and are a reservoir for several zoonotic infections, yet few studies have empirically determined contact patterns within dog populations. Using high-resolution proximity logging technology, we characterised the contact networks of free-ranging domestic dogs from two settlements (n = 108 dogs, covering >80% of the population in each settlement) in rural Chad. We used these data to simulate the transmission of an infection comparable to rabies and investigated the effects of including observed contact heterogeneities on epidemic outcomes. We found that dog contact networks displayed considerable heterogeneity, particularly in the duration of contacts and that the network had communities that were highly correlated with household membership. Simulations using observed contact networks had smaller epidemic sizes than those that assumed random mixing, demonstrating the unsuitability of homogenous mixing models in predicting epidemic outcomes. When contact heterogeneities were included in simulations, the network position of the individual initially infected had an important effect on epidemic outcomes. The risk of an epidemic occurring was best predicted by the initially infected individual's ranked degree, while epidemic size was best predicted by the individual's ranked eigenvector centrality. For dogs in one settlement, we found that ranked eigenvector centrality was correlated with range size. Our results demonstrate that observed heterogeneities in contacts are important for the prediction of epidemiological outcomes in free-ranging domestic dogs. We show that individuals presenting a higher risk for disease transmission can be identified by their network position and provide evidence that observable traits hold potential for informing targeted disease management strategies.
Replication data and analysis code for the article "Insect-habitat-plant interaction networks provide guidelines to mitigate the risk of transmission of Xylella fastidiosa to grapevine in Southern France"
<p>This deposit contains the dataset used in the article "Insect-habitat-plant interaction networks provide guidelines to mitigate the risk of transmission of Xylella fastidiosa to grapevine in Southern France" in the form of a RData file, directly loadable in R, as well as the Rmd script used to analyse the data and produce the figures.</p>
ATELIER. QoE and Net.KPIs for On-Demand video transmission in Mobile Networks (emu.) part 1
<p>This dataset contains all the raw (and processed) information for thousands of experiments that transfer a video on-demand from a core network to a UE emulated through SRSRan inside docker containers. The dataset contains both the network statistics but also the evaluation of the QoE through VMAF for each experiment. In total, 3 different videos has been used with different characteristics and different network impairments has been applied.</p> <p>First part. Please download both parts of raw logs before unzipping.</p> <p>The logs contain network KPI information collected during the transfer of a video-stream using FFMpeg from the core net to a UE using SRS-RAN.<br>Each experiment contains the full logs with the full network traces, for a total of more than 4000 experiments.<br>The transferred and received videos are excluded due to the total weight.</p> <p>For a more detailed explanation on how the dataset has been generated, please refer to the associated article and GitHub repository.<br>Title of the article: “ATELIER: Service Tailored and Limited-Trust Network Analytics Using Cooperative Learning”.</p>
ATELIER. QoE and Net.KPIs for On-Demand video transmission in Mobile Networks (emu.) part 2
<p>This dataset contains all the raw (and processed) information for thousands of experiments that transfer a video on-demand from a core network to a UE emulated through SRSRan inside docker containers. The dataset contains both the network statistics but also the evaluation of the QoE through VMAF for each experiment. In total, 3 different videos has been used with different characteristics and different network impairments has been applied.</p> <p>Second part. Please download both parts of raw logs before unzipping.</p> <p>The logs contain network KPI information collected during the transfer of a video-stream using FFMpeg from the core net to a UE using SRS-RAN.<br>Each experiment contains the full logs with the full network traces, for a total of more than 4000 experiments.<br>The transferred and received videos are excluded due to the total weight.</p> <p>For a more detailed explanation on how the dataset has been generated, please refer to the associated article and GitHub repository.<br>Title of the article: “ATELIER: Service Tailored and Limited-Trust Network Analytics Using Cooperative Learning”.</p>
The appendix for dynamic model of respiratory infectious disease transmission by population mobility based on city network
<p>First, a scale-free city network was established, and the shortest path between any two nodes was determined. Second, the movement path of tourists was designed based on the shortest path. Subsequently, every infected person's information, such as the city, infection time, onset, and hospitalisation, was confirmed based on their movement path. Third, the features of the transmission path and time distribution of the epidemic were characterised after summarising the information. Finally, the reliability of the model was verified.</p>
Data from: Interspecific social networks promote information transmission in wild songbirds
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Data from: The index case is not enough: variation among individuals, groups, and social networks modify bacterial transmission dynamics
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Data from: Inferring HIV-1 transmission networks and sources of epidemic spread in Africa with deep-sequence phylogenetic analysis
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Data from: High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection
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Data from: Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees.
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Data from: Multi-network-based diffusion analysis reveals vertical cultural transmission of sponge tool use within dolphin matrilines
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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 associated with Balasubramaniam, Beisner et al. (PeerJ, 2016): "Social buffering and contact transmission: Network connections have beneficial and detrimental effects on Shigella infection risk among captive rhesus macaques"
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Data from: Trait-based modeling of multi-host pathogen transmission: plant-pollinator networks
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Bipolar and schizophrenia risk gene AKAP11 encodes an autophagy receptor coupling the regulation of PKA kinase network homeostasis to synaptic transmission
GEO Series GSE304457. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Multimodal Magnetoencephalography and Electroencephalography Exploration of the Acute Effects of THC Exposure on Neural Noise and Information Transmission Within Working Memory Networks
ClinicalTrials.gov study NCT05641766. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy of ART to Interrupt HIV Transmission Networks
ClinicalTrials.gov study NCT02528773. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.