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Data from: Genomic selection of juvenile height across a single generational gap in Douglas-fir
负责人:
关键词:
Cross-generation validation;Predictive model;Pseudotsuga menziesii;Full-sib families;Genome-wide selection
DOI:
doi:10.5061/dryad.8n2d374
摘要:
approached zero in many cases. Cross-generational GS validation of juvenile height in Douglas-fir produced predictive accuracies almost as high as tha
Data from: Specificity and strain-typing capabilities of Nanorod Array-Surface Enhanced Raman Spectroscopy for Mycoplasma pneumoniae detection
负责人:
关键词:
Nanorod array;Mycoplasma pneumoniae;Surface Enhanced Raman Spectroscopy;Biosensing
DOI:
doi:10.5061/dryad.s5h20
摘要:
with 100% cross-validated statistical accuracy. Furthermore, PLS-DA correctly classified by strain type all 30 clinical isolates with 96% cross-validat
Data from: Identifying genetic markers for a range of phylogenetic utility–from species to family level
负责人:
关键词:
locus selection;Eucalyptus;marker discovery;Next-generation sequencing;exon capture;phylogeny;Melaleuca;Mytraceae
DOI:
doi:10.5061/dryad.p20km22
摘要:
and sequence the captured loci. To validate our method we present data from Eucalyptus and Melaleuca, two large and phylogenetically problematic genera
Data from: Morphological diversification of biomechanical traits: mustelid locomotor specializations and the macroevolution of long bone cross
负责人:
关键词:
limbs;Trait Diversification;Functional morphology;Extant;skeleton;Second Moment of Area;Mustelidae;Mammals;Cross-Sectional Area;Adaptation
DOI:
doi:10.5061/dryad.7vf4004
摘要:
models did not differ from a Brownian motion model. Within Mustelidae, differences in limb function and locomotor habit influence cross-sectional tra
Data from: A 45-second self-test for cardiorespiratory fitness: heart rate-based estimation in healthy individuals
负责人:
关键词:
cardiorespiratory fintess;squat-test
DOI:
doi:10.5061/dryad.vh610
摘要:
and height increased the explained variability up to 53% with a cross validation (CV) error of 0.532 L ? min-1 and substantial repeatability (ICC = 0.91
Data from: Squamate Conserved Loci (SqCL): a unified set of conserved loci for phylogenomics and population genetics of squamate reptiles
负责人:
Singhal, Sonal
关键词:
target capture phylogenomics comparative population genomics squamate reptiles Reptiles
DOI:
doi:10.5061/dryad.r0q02
摘要:
t can generate high-quality and highly complete data across all three loci types. We use these probes to generate data for 44 phylogenetically-disparate taxa
Data from: Frequency and distribution of 152 genetic disease variants in over 100,000 mixed breed and purebred dogs
负责人:
Donner, Jonas
关键词:
dog canine Mendelian disease genotypes panel screening
DOI:
doi:10.5061/dryad.dd91b
摘要:
on in the generated data. We identified the most prevalent, and rare, disease susceptibility variants across the general dog population while providing the fir
Data from: Genetic sex assignment in wild populations using GBS data: a statistical threshold approach
负责人:
关键词:
Genotyping by-sequencing;Next-generation sequencing;Y chromosome;reduced representation sequencing;Arctocephalus forsteri;sex-specific markers
DOI:
doi:10.5061/dryad.84v2f
摘要:
as unknowns (98.9% accuracy for females; 95.8% for males, estimated via cross-validation). Furthermore, we assigned sex to 86 individuals of true unknown sex
Data from: An MRI measure of degenerative and cerebrovascular pathology in Alzheimer’s disease
负责人:
关键词:
All Cerebrovascular disease\/Stroke;MRI;memory;Cohort studies;Alzheimer's disease
DOI:
doi:10.5061/dryad.m8s3r88
摘要:
Objective: To develop, replicate, and validate an MRI-based quantitative measure of both cerebrovascular and neurodegeneration in Alzheimer’s disease
Data from: Consensus forecasting of intertidal seagrass habitat in the Wadden Sea
负责人:
关键词:
habitat management;Zostera marina;seagrass;Boyce index;model transferability;Zostera noltii;Machine Learning;Habitat Distribution Model;ensemble forecasting
DOI:
doi:10.5061/dryad.q9c54
摘要:
ly transferable models, hyperparameters were tuned on the basis of prediction accuracy assessed by non-random, spatial cross-validation. The spatial cross

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