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GBIF Occurrence Download
负责人:
关键词:
GBIF biodiversity species occurrences
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
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
负责人:
关键词:
Cognitive Agent-based Computing;Multiagent System;Agent-Based Modeling;Green Computing;Computer applications;Carbon Footprint;Software Tools
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
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
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:
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
Data from: Using plant functional distances to select species for restoration of mining sites
负责人:
关键词:
mine tailing;abiotic stress;dryland;ecological facilitation;plant trait;heavy metal;nurse plant;community assembly
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
Data from: Quantitative analysis of connectivity in populations of a semi-aquatic mammal using kinship categories and network assortativity
负责人:
Castresana, Jose
关键词:
ddRAD Dispersal Pedigrees
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
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
Data from: Assessing behavioral associations in a hybrid zone through social network analysis: complex assortative behaviors structure associ
负责人:
关键词:
gene flow;reproductive isolation;Selection: sexual;Callipepla californica;Behavior: social;bird;Behavior: reproductive;Mate choice;Social structure;Callipepla gambelii;hybridization;sexual dimorphism
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
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
Data from: Lexicon-enhanced sentiment analysis framework using rule-based classification scheme
负责人:
关键词:
document level.;Sentiment analysis;sentiment classification;sentence level;domain specific;modifiers;sentiment detection;emoticon;rule-based
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

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