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Data from: Targeting global conservation funding to limit immediate biodiversity declines
负责人:
关键词:
biodiversity;ecological\/environmental policy;Mammalia;CBD;Conservation funding;Rio;sustainability;governance
DOI:
doi:10.5061/dryad.p69t1
摘要:
with uncertainty and lack of consensus over the relative size of spending gaps. Here, we assemble a global database of annual conservation spending. We then develop
Data from: Constructing phylogenies in the presence of Intra-Individual Site Polymorphisms (2ISPs) with a focus on the nuclear ribosomal cistron
负责人:
关键词:
Nuclear DNA;phylogeny reconstruction;intra-individual site polymorphism;phylogenetic networks
DOI:
doi:10.5061/dryad.21jj2
摘要:
, and these result in Intra-Individual Site Polymorphisms (2ISP; pronounced 'twisp') in direct-PCR or individual-consensus sequences based on a clone sample
Data from: Religion does matter for climate change attitudes and behavior
负责人:
关键词:
policy;climate change;attitudes;Behavior;knowledge;Religious belief;Scientific consensus
DOI:
doi:10.5061/dryad.vr315
摘要:
ross religious groups in terms of their belief in: (a) human induced climate change, (b) the level of consensus among scientists, (c) their own efficacy, and (d) the nee
Data from: Biogeographic regions of North American mammals based on endemism
负责人:
关键词:
provinces;Species distribution models;Parsimony Analysis of Endemicity;Mammalia;Neotropical;Endemicity Analysis;Regions;present;Mexican Transition Zone;Nearctic
DOI:
doi:10.5061/dryad.18j3d
摘要:
) and Parsimony Analysis of Endemicity (PAE). EA was used to obtain areas of endemism and PAE to hierarchize them. We found 76 consensus areas from 329 sets, classified in 146 cladograms
Data from: Weak spatiotemporal response of prey to predation risk in a freely interacting system
负责人:
Cusack, Jeremy
关键词:
null model predation risk proactive avoidance reactive avoidance spatial overlap
DOI:
doi:10.5061/dryad.tp546d7
摘要:
consensus include inconsistent measurements of predation risk, biased spatiotemporal scales at which responses are measured, and lack of robust null
Data from: Combining data sets with different phylogenetic histories
负责人:
关键词:
phylogenetic accuracy;Combined analysis;computer simulation;separate analysis;consensus analysis;Sceloporus
DOI:
doi:10.5061/dryad.123
摘要:
t of their histories. This is a realistic scenario and one in which the relative advantages of combined, separate, and consensus analysis become much les
Data from: Benefits and challenges with applying unique molecular identifiers in next generation sequencing to detect low frequency mutations
负责人:
关键词:
DOI:
doi:10.5061/dryad.n6068
摘要:
mutations, as true mutations could be distinguished from PCR errors or sequencing errors based on consensus among reads sharing same index. In an effort
Data from: The influence of environmental gradients on individual behaviour: individual plasticity is consistent across risk
负责人:
Cornwell, Tomas
关键词:
animal personality behavioural plasticity boldness linear mixed model reaction norm state-behaviour feedback
DOI:
doi:10.5061/dryad.n5b54j0
摘要:
ll a lack of consensus regarding its causes and constraints. One pressing question related to this is whether individual plasticity carries over ac
Data from: Evolutionary history inferred from the de novo assembly of a non-model organism, the blue-eyed black lemur
负责人:
关键词:
conservation genetics;molecular evolution;Eulemur macaco;Mammals;Eulemur flavifrons;Ecological Genetics;Population Genetics - Empirical;Adaptation
DOI:
doi:10.5061/dryad.rn745
摘要:
genome to date, and a high confidence consensus sequence for close sister species E. macaco, the (brown-eyed) black lemur. From diversity and divergence
Data from: Collective strategy for obstacle navigation during cooperative transport by ants
负责人:
关键词:
obstacle navigation;Paratrechina longicornis;self organization;cooperative transport;problem solving;swarm intelligence;decentralized coordination
DOI:
doi:10.5061/dryad.7j2t2
摘要:
Group cohesion and consensus have primarily been studied in the context of discrete decisions, but some group tasks require making serial decisions

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