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Graphml file of the resource-immune-parasite network (severe aggregation of node names)

Figshare2014-08-12 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/Graphml_file_of_the_resource_immune_parasite_network_severe_aggregation_of_node_names_/1136067 数据链接链接失效反馈

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资源简介：

One version of the network produced by Vincent Labatut's R code.

应用场景：

创建时间：

2014-08-12

生态学

物种相互作用

The dataset contains tree leaf traits, abundance and diversity of caterpillars, and the network metrics at species and community level between trees and caterpillars.

DataCite Commons2020-06-11 更新60

Data from: Trophic omnivory across a productivity gradient: intraguild predation theory and the structure and strength of species interactions

生态学

物种相互作用

Intraguild predation theory centres on two predictions: (i) for an omnivore and an intermediate predator (IG-prey) to coexist on shared resources, the IG-prey must be the superior resource competitor,

DataONE2014-01-30 更新50

DNA barcoding reveals generalization and host overlap in hummingbird flower mites: implications for the MatingÂ RendezvousÂ Hypothesis

物种相互作用

DNA条形码生态学

Hummingbird flower mites are assumed to monopolize single host plant species due to sexual selection for unique matingÂ rendezvousÂ sites. We tested the main assumption of the MatingÂ rendezvousÂ hypo

DataONE2022-02-14 更新20

Data from: Linking phenological shifts to species interactions through size-mediated priority effects

物种相互作用

气候变化

1. Inter-annual variation in seasonal weather patterns causes shifts in the relative timing of phenological events of species within communities, but we currently lack a mechanistic understanding of h

DataONE2014-03-13 更新60

DataSheet1_Anthropization Affects the Assembly of Bat-Bat Fly Interaction Networks.docx

生态网络分析

宿主-寄生虫相互作用

Increasing anthropization is detrimental to the natural environment and the quality of life, affecting populations, communities, and the relationships between organisms. One of the most unique relatio

NIAID Data Ecosystem30

Graphml file of the resource-immune-parasite network (severe aggregation of node names)

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