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Data from: Performance of social network sensors during Hurricane Sandy
负责人:
关键词:
sensors;friendship paradox;disaster management;social networks
DOI:
doi:10.5061/dryad.15fv2
摘要:
online social networks, provide an opportunity to study such flow and derive early-warning sensors, thus improving emergency preparedness and response. Performance
Data from: Next generation lineage discovery: a case study of tuberous Claytonia L.
负责人:
关键词:
New species;edaphic;SVD quartets;Reticulation;Claytonia crawfordii;Elliptical Fourier Analysis;ddRAD;statistical ordination;Next Generation Sequencing;genome skimming;Montiaceae
DOI:
doi:10.5061/dryad.m99v4
摘要:
/ecological variation. Subsets of 18 taxa from 63 populations were used for (a) lineage discovery using network and coalescent analyses, (b) leaf shape analyses usi
Data from: Neural structure mapping in human probabilistic reward learning
负责人:
关键词:
Homo Sapiens;Structure learning;Value-based decision making;EEG;representational similarity analysis;Homo Sapiens;neural network;Multivariate decoding
DOI:
doi:10.5061/dryad.7k7s800
摘要:
Humans can learn abstract concepts that describe invariances over relational patterns in data. One such concept, known as magnitude, allows stimuli
Data from: Incorporating the geometry of dispersal and migration to understand spatial patterns of species distributions
负责人:
关键词:
connectivity;Migration;Dispersal
DOI:
doi:10.5061/dryad.m38nn11
摘要:
or species invasions. I propose that we view migration/dispersal as if organisms were moving along curvilinear geometrical objects called smooth manifolds. In that view
Data from: Large-scale functional networks identified from resting-state EEG using spatial ICA
负责人:
关键词:
EEG resting state
DOI:
doi:10.5061/dryad.v9f16
摘要:
analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. Since the links bet
Data from: High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: appli
负责人:
关键词:
learning;image analysis;Invasive tumors;Histopathology;Neurons;Neural networks;Imaging techniques
DOI:
doi:10.5061/dryad.1g2nt41
摘要:
. Convolutional neural network (CNN) is the most popular representation learning method for computer vision tasks, which have been successfully applied in digital pathology
Data from: Prevention of ventilator-associated pneumonia in intensive care units: an international online survey
负责人:
关键词:
patient safety;survey;Quality of care;ventilator-associated pneumonia; intensive care units;healthcare-associated infections
DOI:
doi:10.5061/dryad.q1d7f
摘要:
practices as regards (1) established clinical guidelines for VAP prevention, and (2) measurement of process and outcomes, under the assumption “if you cann
Data from: Molecular evolution of the neural crest regulatory network in ray-finned fish
负责人:
关键词:
development;NC-genes;cichlid;Actinopterygii;Chichlidae;hourglass model;Teleost;Teleosts;ontogeny;gene regulatory network
DOI:
doi:10.5061/dryad.75427
摘要:
Gene regulatory networks (GRN) are central to developmental processes. They are composed of transcription factors and signalin
Data from: In the mood: the dynamics of collective sentiments on Twitter
负责人:
关键词:
dynamics of collective emotions;evolving networks;network communities;agent-based modelling
DOI:
doi:10.5061/dryad.5302r
摘要:
We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning ea
Data from: Biogeographical network analysis of cretaceous terrestrial tetrapods: a phylogeny-based approach
负责人:
Kubo, Tai
关键词:
Network analysis biogeography phylogeny network index simulation terrestrial tetrapods
DOI:
doi:10.5061/dryad.3q11m8g
摘要:
phylogenetic information is proposed in this study, which increases the number of edges in the network of fossil vertebrates and enables the application of var

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