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Data from: Cultural flies: conformist social learning in fruit flies predicts long-lasting mate-choice traditions
负责人:
Danchin, Etienne
关键词:
Traditions Animal culture Conformity Cultural inheritance Trait-based copying Long-term memory Social learning
DOI:
doi:10.5061/dryad.683870h
摘要:
ally fostering persistent traditions (the main marker of culture) in mating preference. A transmission chain experiment validates a model of the emergence of local
Data from: Genetic consequences of breaking migratory traditions in barnacle geese Branta leucopsis
负责人:
关键词:
population genetics;SNP;admixture;Branta leucopsis;migration modelling;speciation;cultural evolution
DOI:
doi:10.5061/dryad.mf3gd
摘要:
Cultural transmission of migratory traditions enables species to deal with their environment based on experiences from earlier generations. Als
Data from: Conservation of pollinators in traditional agricultural landscapes – new challenges in Transylvania (Romania) posed by EU accession and recommendations
负责人:
关键词:
agricultural intensification;solitary bee;hoverfly;traditional rural landscape;Syrphidae;ecosystem services;Heterogeneity;bumblebee;Bombus
DOI:
doi:10.5061/dryad.5dk66
摘要:
of conservation. In these traditional farmlands in the Transylvanian Basin, Romania (EU accession in 2007), we studied the major pollinator groups—wild bees
Data from: Improving the signal subtle feature extraction performance based on dual improved fractal box dimension eigenvectors
负责人:
关键词:
Radiation source signal;Improved fractal box-counting dimension;Traditional fractal box-counting dimension;Gray relation algoritm;Subtle features
DOI:
doi:10.5061/dryad.567mc91
摘要:
Aiming at the limitation of traditional fractal box-counting dimension algorithm in subtle feature extraction of radiation source signals, a dual
Data from: Integrating correlation between traits improves spatial predictions of plant functional composition
负责人:
关键词:
generalized additive mixed effect models;Community weighted mean;response and effect traits
DOI:
doi:10.5061/dryad.v475g
摘要:
ve mixed effect models to predict the functional composition of alpine grasslands in the Guisane Valley (France). We demonstrate that, compared to traditional approaches
Data from: Uneven sampling and the analysis of vocal performance constraints
负责人:
关键词:
Statistics: sampling design\/analysis;Methods: meta-analysis;Communication: acoustic;Selection: sexual;Trade offs;Phenotypic Plasticity;Behavior: evolution;Selection: natural
DOI:
doi:10.5061/dryad.36847
摘要:
of these to some degree. Traditional upper-bound regression, which does not control for sampling limitations, detects performance trade-offs in 33 data sets
Data from: Translation, cross-cultural adaptation and validation of the traditional Chinese intermittent and constant osteoarthritis pain (ICOAP
负责人:
关键词:
ICOAP;pain;knee osteoarthritis;Traditional Chinese
DOI:
doi:10.5061/dryad.30r34f7
摘要:
Objectives: To translate and culturally adapt the Intermittent and Constant Osteoarthritis and Pain (ICOAP) measure to a traditional Chinese version
Data from: Measuring visual search and distraction in immersive virtual reality
负责人:
关键词:
virtual reality;flanker;ecological validity;attention;control
DOI:
doi:10.5061/dryad.9s85m06
摘要:
cond experiment in which stimuli were presented on a computer screen in 2D. The study demonstrates the successful translation of traditional paradi
Data from: Oral microbiomes from hunter-gatherers and traditional farmers reveal shifts in commensal balance and pathogen load linked to diet
负责人:
关键词:
metagenomics;hunter-gatherers;oral microbiome;diet
DOI:
doi:10.5061/dryad.sn00q
摘要:
of populations of hunter-gatherers and traditional farmers living in close proximity in the Philippines. Deep shotgun sequencing of salivary DNA generated high
Data from: Does trait variation within broadly distributed species mirror patterns across species? A case study in Puerto Rico
负责人:
关键词:
DOI:
doi:10.5061/dryad.6505nf4
摘要:
challenges the traditional paradigm of functional ecology that assumes single trait values as optimal solutions for environments. In conclusion, patterns

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