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Data from: Optimum design of family structure and allocation of resources in association mapping with lines from multiple crosses
负责人:
关键词:
association mapping;multiple families;optimum allocation of resources
DOI:
doi:10.5061/dryad.m6079
摘要:
ng a simulation study, resample model averaging and cross-validation approaches. Our results show that in family mapping, the predictive power and the accura
Data from: Modelling habitat distributions for multiple species using phylogenetics
负责人:
关键词:
Agnatha;Water resource management;Evolution;species conservation;Teleostei;Osteichthyes
DOI:
doi:10.5061/dryad.60n52
摘要:
predictive power (likelihood-based cross-validation R2=0.283) to predict the density of fish pertaining to 48 species totalling 143 combinations of species
The Genome Of The Tardigrade Hypsibius Dujardini
负责人:
关键词:
tardigrade blobtools contamination metagenomics horizontal gene transfer hypsibius dujardini
DOI:
doi:10.5281/zenodo.45162
摘要:
a contained bacterial and algal sequences. Careful filtering generated a cleaned H. dujardini genome assembly, validated and annotated with GSSs, ESTs and R
Data from: Simulating the distribution of individual livestock farms and their populations in the united states: an example using domestic swine
负责人:
关键词:
livestock modeling simulation agriculture
DOI:
doi:10.5061/dryad.46pb3
摘要:
tures and gentler topography. The distribution of swine farms was highly variable, but cross-validation of our distribution model produced an area under the receiver
Data from: How to predict biodiversity in space? An evaluation of modelling approaches in marine ecosystems
负责人:
关键词:
GDM;HMSC;Hill diversity profile;Random Forest;SSDM;?-diversity
DOI:
doi:10.5061/dryad.2fv7mt8
摘要:
, China, allocated to coastal and offshore areas. We evaluate the predictive power of the models using cross?validation. Results: Following the “ass

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