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364 results for “Network interaction”
Habitat loss increases seasonal interaction rewiring in plant-pollinator networks
<p>Understanding the flexibility of interactions and network rewiring (i.e. reassembly of interactions due to partner-switching) is necessary to comprehend how future anthropogenic changes will affect interspecific interactions and the functioning of communities. A higher rewiring could be expected in more disturbed landscapes because these landscapes contain fewer and more generalist species with more homogeneous traits. We sampled pollination interactions in 20 wild Olea europaea communities along a disturbance gradient to evaluate the hypothesis that the loss of natural habitats increases seasonal (within-year) interaction rewiring in plant-pollinator communities, influencing their functional structure. For this, we particularly tested whether rewiring frequency was negatively related to the extent of natural habitats surrounding the communities, whether interaction rewiring influenced the static structure of networks (nestedness, network specialization –H2'–), and whether a high generalization (low specialization –d'–) and abundance of species in communities made them more prone to rewiring. We show that habitat loss increased seasonal interaction rewiring in networks. Changes in rewiring were related to changes in the cumulative static structure of pollination networks. Nestedness decreased and network specialization (H2') also tended to decrease as interaction rewiring increased, suggesting an indirect effect of habitat loss on the robustness of networks through their dynamics. As expected, generalist insect and plant species were more prone to rewiring. However, flower abundance had different effects on the rewiring probability of plant species depending on the extent of habitat loss, with abundant species rewiring more in disturbed communities and rewiring less in more natural communities. Likely, this is related to the context-dependent foraging behaviour of pollinators, which may switch to more abundant species if the cost of searching for trait-matching resources is high in disturbed habitats. Our work shows the role of partner-switching in generalist species to adapt to new conditions. It also highlights the importance of going beyond general network metrics to understand the underlying processes of community-level interaction assembly, and predict and anticipate the effects of anthropogenic disturbances on pollination services.</p>
The dataset of "Characteristics of Urban Interaction Network in Shandong Province from the Perspective of Traffic Flow and Information Flow"
<p>There are the datasets of the research named "Characteristics of Urban Interaction Network in Shandong Province from the Perspective of Traffic Flow and Information Flow".</p>
Data for: Intersectin1 promotes clathrin-mediated endocytosis by organizing and stabilizing endocytic protein interaction networks
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STRING protein-protein interaction network (v11.5)
<p>STRING protein-protein interaction network was downloaded from the STRING website (https://string-db.org/cgi/download?sessionId=bIAz6gR8tk72).</p> <p>Version: 11.5</p>
Knowledge Graph Neural Network with Spatial-Aware Capsule for Drug-Drug Interaction Prediction
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Does phenology explain plant-pollinator interactions at different latitudes? An assessment of its explanatory power in plant-hoverfly networks in French calcareous grasslands
<p>These are the data supporting the results in the paper entitled: <strong>"</strong>Does phenology explain plant-pollinator interactions at different latitudes? An assessment of its explanatory power in plant-hoverfly networks in French calcareous grasslands"</p> <p><strong>Authors: </strong>Natasha de Manincor¹*, Nina Hautekeete¹, Yves Piquot¹, Bertrand Schatz², Cédric Vanappelghem³, François Massol¹<sup>,4</sup></p>
Predicting the pro-longevity or anti-longevity effect of model organism genes with enhanced Gaussian noise augmentation-based contrastive learning on protein-protein interaction networks
<p>The datasets used to evaluate Enhanced Gaussian noise augmentation-based contrastive learning (EGsCL) against predicting the pro-longevity or anti-longevity effect of model organism gene. This repo also includes the pretrained encoders that obtained the best predictive performance for each organism (see Table 2).</p>
Raw data for Jin et. al "Intersectin1 promotes clathrin-mediated endocytosis by organizing and stabilizing endocytic protein interaction networks"
<h2><strong><span>Intersectin1 promotes clathrin-mediated endocytosis by organizing and stabilizing endocytic protein interaction networks</span></strong></h2> <p><span> </span></p> <p><span>Meiyan Jin<sup>1,2*</sup>, Yuichiro Iwamoto<sup>1</sup>, Cyna Shirazinejad<sup>1</sup>, David G. Drubin<sup>1,3**</sup></span></p> <p><sup><span>1 </span></sup><span>Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA</span></p> <p><sup><span>2</span></sup><span> Current Address: Department of Biology, University of Florida, Gainesville, Fl 32611, USA</span></p> <p><sup><span>3</span></sup><span> Lead author</span></p> <p><sup><span>* </span></sup><span>Correspondence: meiyan.jin@ufl.edu</span></p> <p><sup><span>**</span></sup><span>Correspondence: </span><span>drubin@berkeley.edu</span></p>
Data from: Human-induced biotic invasions and changes in plankton interaction networks
1.Pervasive and accelerating changes to ecosystems due to human activities remain major sources of uncertainty in predicting the structure and dynamics of ecological communities. Understanding which biotic interactions within natural multitrophic communities are threatened or augmented by invasions of non-native species in the context of other environmental pressures is needed for effective management. 2.We used multivariate autoregressive models with detailed time-series data from largely freshwater and brackish regions of the upper San Francisco Estuary to assess the topology, direction and strength of trophic interactions following major invasions and establishment of non-native zooplankton in the early 1990s. We simultaneously compared the effects of fish and clam predation, environmental temperature, and salinity intrusion using time-series data from > 60 monitoring locations and spanning more than three decades. 3.We found changes in the networks of biotic interactions in both regions after the major zooplankton invasions. Our results imply an increased pressure on native herbivores; intensified negative interactions between herbivores and omnivores; and stronger bottom-up influence of juvenile copepods but weaker influence of phytoplankton as a resource for higher trophic levels following the invasions. We identified salinity intrusion as a primary pressure but showed relatively stronger importance of biotic interactions for understanding the dynamics of entire communities. 4.Synthesis and applications. Our findings highlight the dynamic nature of biotic interactions and provide evidence of how simultaneous invasions of exotic species may alter interaction networks in diverse natural ecosystems over large spatial and temporal scales. Efforts to restore declining fish stocks may be in vain without fully considering the trophic dynamics that limit the flow of energy to target populations. Focusing on multitrophic interactions that may be threatened by invasions rather than a limited focus on responses of individual species or diversity is likely to yield more effective management strategies.
Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics
<p>Results and code to replicate analysis in "Interpreting Cis-Regulatory Interactions from<br> Large-Scale Deep Neural Networks for Genomics" by Toneyan and Koo.</p>
Data and Codes of "A Pharmacological Representation-based LSTM Network for Drug–Drug Interaction Extraction"
<p>The datasets and source codes used and/or analyzed in study "A Pharmacological Representation-based LSTM Network for Drug–Drug Interaction Extraction".</p>
SALSA (Health, Food and Sociability): Community Networks for Healthy Eating, Autonomy, and Social Interaction
ClinicalTrials.gov study NCT06800027. IPD Sharing: NO. Countries: 1. Publications: 7.
Improving Visual Perception and Visuo-motor Learning With Neurofeedback of Brain Network Interaction.
ClinicalTrials.gov study NCT05732649. IPD Sharing: NO. Countries: 1. Publications: 9.
Interactions Between Attentional Networks and Their Influence on Perception
ClinicalTrials.gov study NCT02467114. IPD Sharing: Not stated. Countries: 1. Publications: 5.
In-depth Investigation of Brain Network Interactions
ClinicalTrials.gov study NCT04748146. IPD Sharing: UNDECIDED. Countries: 1. Publications: 16.
Data from: Seasonal dynamics of flock interaction networks across a human-modified landscape in lowland Amazonian rainforest
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Data in support of: Species-specific interactions in an avian-bryophyte dispersal network
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Habitat loss increases seasonal interaction rewiring in plant-pollinator networks
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Data from: A dedicated network for social interaction processing in the primate brain
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Data from: Functional outcomes of mutualistic network interactions: a community-scale study of frugivore gut passage on germination
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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.