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Data from: Habitat edge responses of generalist predators are predicted by prey and structural resources
负责人:
关键词:
edge effects;2007;Predictive model;resource distribution;Spartina patens;ecological boundary;Spartina alterniflora;generalist predator;habitat fragmentation
DOI:
doi:10.5061/dryad.2cb125v
摘要:
e they can potentially use prey resources equally well on both sides of the habitat edge. However, most predictions about generalist predator respons
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:
d and compared to pedigree-based (ABLUP) predictions. GS accuracies for scenarios 1 (0.92, 0.91, and 0.91) and 3 (0.57, 0.56, and 0.58) were similar to their ABLUP
Data from: Correction of location errors for presence-only species distribution models
负责人:
关键词:
opportunistic sightings;Measurement error;Grus americana;regression calibration;2000-2012;Public Land Survey System;location errors;inhomogeneous Poisson point process
DOI:
doi:10.5061/dryad.h81s5
摘要:
mates and predictions from SDMs. 2. Regression calibration is a well-developed statistical method that can be used to correct the bias in estimated coeffic
Data from: Inbreeding depression and drift load in small populations at demographic disequilibrium
负责人:
关键词:
Sabatia angularis;genetic load;mutation accumulation;Gentianaceae;Mating System evolution;heterosis;Bottlenecks;population size
DOI:
doi:10.5061/dryad.t1204
摘要:
at equilibrium, primarily due to higher inbreeding rates facilitating purging and/or fixation of deleterious alleles (drift load), but predictions at demographic
Data from: Evaluating presence-only species distribution models with discrimination accuracy is uninformative for many applications
负责人:
关键词:
TSS;niche model;model selection;kappa;Species distribution model;AUC
DOI:
doi:10.5061/dryad.6ft55k9
摘要:
on accuracy and functional accuracy. Methods: Using a simulation approach we investigate whether models that make good predictions of species distributions
Data from: Selection on skewed characters and the paradox of stasis
负责人:
关键词:
selection estimation;selection gradient;paradox of stasis;phenotypic skewness;Response to selection
DOI:
doi:10.5061/dryad.pt07g
摘要:
Observed phenotypic responses to selection in the wild often differ from predictions based on measurements of selection and genetic
Data from: Assessing cetacean surveys throughout the Mediterranean Sea: a gap analysis in environmental space
负责人:
关键词:
extrapolation;Gap analysis;environmental space;cetaceans
DOI:
doi:10.5061/dryad.4pd33
摘要:
, models calibrated on existing data may be used to predict species distributions in unsampled areas, given that available data are sufficient
Data from: Release of 50 new, drug-like compounds and their computational target predictions for open source anti-tubercular drug discovery
负责人:
关键词:
target prediction;Screening;drug discovery;Mycobacterium tuberculosis;Mycobacterium bovis BCG;Tuberculosis
DOI:
doi:10.5061/dryad.8r351
摘要:
e then progressed for evaluation in three different predictive computational biology algorithms based on structural similarity or GSK historical biological assay data
Data from: Empirical evidence that large marine predator foraging behavior is consistent with area-restricted search theory
负责人:
关键词:
passive acoustic monitoring;Delphinus delphis;foraging ecology;Tursiops truncatus
DOI:
doi:10.5061/dryad.bb48rf0
摘要:
ause of the higher probability of encountering additional prey. However, few studies have tested these predictions on marine species because of the difficulti
Data from: Microevolution of S-allele frequencies in wild cherry populations: respective impacts of negative frequency dependent selecti
负责人:
关键词:
Genetic Variation;gene flow;Prunus avium;population genetics;Mating Systems;Models\/Simulations;Fecundity
DOI:
doi:10.5061/dryad.pk7v8
摘要:
, we tested whether S-alleles evolved following NFDS qualitative and quantitative predictions. We showed that allelic variation was negatively correlated

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