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GBIF Occurrence Download
- 负责人:
- DOI:
- doi:10.15468/dl.65que7
- 摘要:
- Dataset. 2 records from Staffordshire Ecological Record - SER Species-based Surveys. 1 records from Donnees ONF Faune-Flore-Fonge. 9 records from MPM
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
- 负责人:
- DOI:
- doi:10.5061/dryad.mq793
- 摘要:
- Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: The geographical variation of network structure is scale dependent: understanding the biotic specialization of host-parasitoid networks
- 负责人:
- 关键词:
- ecological networks;host-parasitoid food web;beta-diversity;biotic specialization;spatial scale
- DOI:
- doi:10.5061/dryad.kk75k1p
- 摘要:
- of the climatic variables are associated to biotic specialization, at the local scale, network connectance, consumer diet overlap, and resource vulnerability decrease
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: In the mood: the dynamics of collective sentiments on Twitter
- 负责人:
- DOI:
- doi:10.5061/dryad.5302r
- 摘要:
- in community sentiment from one day to the next can in most cases be traced to external events affecting the community. Thirdly, based on our findings, we create
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Data from: Using plant functional distances to select species for restoration of mining sites
- 负责人:
- DOI:
- doi:10.5061/dryad.gn52t27
- 摘要:
- ary (facilitated) species. 2. Based on community assembly and species coexistence theory, we propose selecting plant species that largely differ in a suite
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Quantitative analysis of connectivity in populations of a semi-aquatic mammal using kinship categories and network assortativity
- 负责人:
- Castresana, Jose
- DOI:
- doi:10.5061/dryad.rq583
- 摘要:
- , we constructed kinship networks and devised a method based on the assortativity coefficient, which measures the proportion between observed and expected kinship
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Forecasting potential emergence of zoonotic diseases in Southeast Asia: network analysis identifies key rodent hosts
- 负责人:
- Morand, Serge
- 关键词:
- network analysis network centrality disease ecology rodent-borne diseases helminths habitat synanthropy Southeast Asia network modularity
- DOI:
- doi:10.5061/dryad.2kq65
- 摘要:
- in Thailand, Cambodia and Laos, we built networks based on shared parasites (17 helminth and 15 microparasite species) and shared habitats among rodent species
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Assessing behavioral associations in a hybrid zone through social network analysis: complex assortative behaviors structure associ
- 负责人:
- DOI:
- doi:10.5061/dryad.0p928qb
- 摘要:
- ations within the admixed population were random with respect to species-specific plumage, but showed strong patterns of assortment based upon sexually dimorphic plumage
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Diversity increases indirect interactions, attenuates the intensity of competition, and promotes coexistence
- 负责人:
- 关键词:
- competitive exclusion;invasion;coexistence;indirect interactions;competition;community assembly
- DOI:
- doi:10.5061/dryad.4s94n
- 摘要:
- that competition must decrease diversity is largely based on the outcome of two-species interaction experiments and models, despite the fact tha
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Lexicon-enhanced sentiment analysis framework using rule-based classification scheme
- 负责人:
- DOI:
- doi:10.5061/dryad.p1j71
- 摘要:
- , and presence of domain specific words, as they may result in inaccurate classification of users’ reviews. Lexicon-enhanced sentiment analysis based on Rule-based