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Data from: Complex data produce better characters
- 负责人：
- DOI：
- doi:10.5061/dryad.d6299fr
- 摘要：
- ng principal components analysis. The correlation between the scores on the first principal component and the Gestalt ratings was computed. The Gestalt ratings and PC scores wer
Data from: Genetic diversity and population structure of wild sunflower (Helianthus annuus L.) in Argentina: reconstructing its invasion history
- 负责人：
- DOI：
- doi:10.5061/dryad.50t6j84
- 摘要：
- tic clusters, all present in both US and ARG. Discriminant analysis of principal components (DAPC) detected an overall low population structure between central
Data from: Motion analysis of non-model organisms using a hierarchical model: influence of setup enclosure dimensions on gait parameters of Swinhoe
- 负责人：
- 关键词：
- generalized linear model;Bayesian statistics;PyMC3;None;Motion analysis;Tamiops swinhoei;Python
- DOI：
- doi:10.5061/dryad.10rn5
- 摘要：
- rameters and the principal components. None of the population effects were confirmed by the hierarchical GLM. The confounding effect of a single subject that deviates
Data from: No mutual mate choice for quality in zebra finches: time to question a widely-held assumption
- 负责人：
- DOI：
- doi:10.5061/dryad.85950
- 摘要：
- in quality into a single principal component, we here show that quality variation can be quantified successfully. We further show that variation in qual
Data from: Assessing potential impact of Bt eggplants on non-target arthropods in the Philippines
- 负责人：
- Hautea, Desiree M.
- 关键词：
- Bt eggplant Non-Target Organism NTO Non-Target Arthropods NTA environmental risk assessment confined field trials
- DOI：
- doi:10.5061/dryad.6c8s6
- 摘要：
- in non-Bt eggplants as were a few non-target beneficials that might control them. Principal Response Curve (PRC) analyses showed no statistically significant
Data from: Sexual selection and experimental evolution of chemical signals in Drosophila pseudoobscura
- 负责人：
- DOI：
- doi:10.5061/dryad.782c2
- 摘要：
- ofile consisted of 18 different components. We extracted three eigenvectors using principal component analysis that explained 72% of the variation. PC1 describe
Data from: Drivers of diversification in individual life courses
- 负责人：
- 关键词：
- Population: dynamics;Ecology: populations;Population: structure;Density Dependence;Macaca mulatta
- DOI：
- doi:10.5061/dryad.p2c6r
- 摘要：
- r how biotic and abiotic environmental fluctuations influence such heterogeneity. We investigate principal drivers of variability in sequence of stages duri
Data from: Exploring variation in fitness surfaces over time or space
- 负责人：
- DOI：
- doi:10.5061/dryad.f4r56j4c
- 摘要：
- principal components analysis, I show how major features of fitness surfaces can be compared statistically. Combined with a bootstrap algorithm, I develop three statistical
Data from: What are the prospects for citizen science in agriculture? Evidence from three continents on motivation and mobile telephone use of
- 负责人：
- DOI：
- doi:10.5061/dryad.v51bv
- 摘要：
- characteristics were assessed. Lastly, Principal Component Analysis (PCA) was used to group farmers based on their motivations. Although there was an overlap bet
Data from: Genome-wide evidence of environmentally mediated secondary contact of European green crab (Carcinus maenas) line
- 负责人：
- DOI：
- doi:10.5061/dryad.bq27d
- 摘要：
- spatial structure. Furthermore, a spatial principal components analysis conducted on genomic and geographic data revealed a high degree of global structure (p<0.0001
