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Data from: Genetic diversity of Helosciadium repens (Jacq.) W.D.J. Koch (Apiaceae) in Germany, a Crop Wild Relative of celery
负责人:
关键词:
Crop Wild Relatives;genetic diversity;genetic reserves;Helosciadium repens;most appropriate wild population;SSR
DOI:
doi:10.5061/dryad.rr4xgxd5c
摘要:
tes were assessed using six simple sequence repeat markers. Discriminant analysis of principal components was used to identify six clusters of genetical
Data from: Genome-wide evidence of environmentally mediated secondary contact of European green crab (Carcinus maenas) line
负责人:
关键词:
environment;Carcinus maenas;RAD-seq;European green crab;invasive species
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
Data from: Morphometrics and paleoecology of Catenipora (Tabulata) from the Xiazhen Formation (Upper Ordovician), Zhuzhai, South China
负责人:
关键词:
Ordovician;Tabulate coral;Paleoecology;Morphometrics;Catenipora
DOI:
doi:10.5061/dryad.qg004
摘要:
pite discrepancies in corallite size, principal component analysis and discriminant analysis, as well as consideration of overall morphological characteristics, indic
Data from: No mutual mate choice for quality in zebra finches: time to question a widely-held assumption
负责人:
关键词:
differential allocation hypothesis;quality indicator;reproductive strategies;assortative mating;Fitness;pairing success;Mate choice;pairing status
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: Exploring variation in fitness surfaces over time or space
负责人:
关键词:
natural selection;projection pursuit regression;tensor decomposition
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: A quantitative comparison of dispersed spore/pollen and plant megafossil assemblages from a Middle Jurassic plant bed from Yorkshire, UK
负责人:
关键词:
Jurassic;Palynology;diversity;paleobotany;multivariate analysis
DOI:
doi:10.5061/dryad.tg469
摘要:
plants are considered to be a principal factor in shaping many of the major abundance and diversity irregularities between dispersed sporomorph and plant
Data from: An efficient method to exploit LiDAR data in animal ecology
负责人:
Ciuti, Simone
关键词:
LiDAR Principal Component Analysis satellite telemetry roe deer red deer resource selection functions habitat modelling
DOI:
doi:10.5061/dryad.4t18d
摘要:
-structural hypotheses. 3. First, we reduce the dimensionality of the LiDAR point cloud by Principal Component Analysis (PCA) to fewer predictors. Secondly
Data from: Biochemical determinants of litter quality in 15 species of Sphagnum
负责人:
关键词:
decay resistance;peatland;hummock-hollow;sphagnan;lignin;Sphagnum spp.;phenolics
DOI:
doi:10.5061/dryad.4f8d2
摘要:
species, abundant over the whole northern hemisphere. We used regression and Principal Components Analysis (PCA) to evaluate general relationships bet
Data from: Incipient radiation within the dominant Hawaiian tree Metrosideros polymorpha
负责人:
关键词:
microsatellites;divergence;isolation by distance;variety;Genetic structure;Pleistocene;Metrosideros polymorpha;trees
DOI:
doi:10.5061/dryad.267kc
摘要:
’i Island, sampling each of the island’s five varieties throughout its full geographic range. For four varieties, principal coordinate analysis reveal
Data from: Integration of Random Forest with population-based outlier analyses provides insight on the genomic basis and evolution of run timing
负责人:
关键词:
conservation genetics;Oncorhynchus tshawytscha;Life History Evolution;Natural Selection and Contemporary Evolution;Chinook salmon;Fish;Adaptation
DOI:
doi:10.5061/dryad.7r5m6
摘要:
ng both principle component analysis and FST outlier analyses, to determine whether shared genetic changes resulted in similar phenotypes across different

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