筛选
科学数据
统计数据
共检索到55条 ,权限内显示50条;
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Revisiting the measurement of anomie
- 负责人:
- DOI:
- doi:10.5061/dryad.s700k
- 摘要:
- 2a-c provide evidence of convergent and discriminant validity. Finally, assessing PAS in 28 countries, we show that PAS correlates with national
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Tracing the origins of Calanus sp. in the Saguenay?St. Lawrence Marine Park (Québec, Canada) using ?13C as a marker
- 负责人:
- DOI:
- doi:10.5061/dryad.m2m1b
- 摘要:
- the probable regions of origin of these deep-dwelling diapausing CVs in the SSLMP, a quadratic discriminant function analysis (QDFA) was performed
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Postcranial morphology and the locomotor habits of living and extinct carnivorans
- 负责人:
- 关键词:
- Carnivora;morphology
- DOI:
- doi:10.5061/dryad.77tm4
- 摘要:
- . We performed statistical analyses, including analysis of variance (ANOVA) and stepwise discriminant function analysis, using a set of 16 functional indi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: A low-threshold potassium current enhances sparseness and reliability in a model of avian auditory cortex
- 负责人:
- 关键词:
- selectivity;object recognition;intrinsic dynamics;auditory processing;decoding models;Tolerance
- DOI:
- doi:10.5061/dryad.js11601
- 摘要:
- Birdsong is a complex vocal communication signal, and like humans, birds need to discriminate between similar sequences of sound with different
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Association genetics of growth and adaptive traits in loblolly pine (Pinus taeda L.) using whole-exome-discovered polymorphisms
- 负责人:
- DOI:
- doi:10.5061/dryad.269126c
- 摘要:
- h angle (1 SNP-SNP interaction), crown width (2), total height (2), carbon isotope discrimination (2), nitrogen concentration (1), and pitch canker resistanc
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Taxonomic revision of the Malagasy Camponotus subgenus Mayria (Hymenoptera, Formicidae) using qualitative and quantitative morphology
- 负责人:
- DOI:
- doi:10.5061/dryad.v280r0t
- 摘要:
- ve Linear Discriminant Analysis (LDA). Morphometric ratios for the subsets of minor and major workers were used in species descriptions and redefinitions. In this study, 14 species ar
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Symmetrical discrimination despite weak song differentiation in two Suboscine sister species
- 负责人:
- DOI:
- doi:10.5061/dryad.68ct8kc
- 摘要:
- variation. Previous evidence indicates that genetic introgression between these species is either absent or negligible, suggesting that vocal discrimination
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: How do functional traits syndromes covary with growth and reproductive performance in a water-stressed population of Fagus sylvatica?
- 负责人:
- DOI:
- doi:10.5061/dryad.v7v8c
- 摘要:
- (WUE) estimated by carbon isotopic discrimination (d13C), twig Huber-value (HV: the stem cross-section divided by the leaf area distal to the stem), wood densi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Assessing the potential information content of multicomponent visual signals: a machine learning approach
- 负责人:
- 关键词:
- visual signalling species recognition individual recognition multicomponent signals guenon face recognition
- DOI:
- doi:10.5061/dryad.4rb0r
- 摘要:
- image segmentation and shape analysis. Discriminant function analyses established whether these perceptual dimensions could be used to reliably classi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
by simulation-trained discriminant analysis
- 负责人:
- 关键词:
- Biogeography;Macroevolution;model choice;phylogenetics;Machine Learning;island radiation;taxon cycle
- DOI:
- doi:10.5061/dryad.4cj58
- 摘要:
- , with the discriminant functions trained on data generated by simulations under our model. This approach of model selection by classification of empirical data with respect to data