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Data from: A probabilistic metric for the validation of computational models
负责人:
关键词:
relative error;Model validation;computational modelling;orthogonal decomposition
DOI:
doi:10.5061/dryad.2qp305p
摘要:
A new validation metric is proposed that combines the use of a threshold based on the uncertainty in the measurement data with a normali
Data from: Proxies in practice: calibration and validation of multiple indices of animal abundance
负责人:
Falcy, Matthew
关键词:
Calibration Chinook salmon Convenience sample cross validation indices monitoring proxies weighted regression
DOI:
doi:10.5061/dryad.nk513
摘要:
ng the known mark-recapture uncertainty into the calibration technique added bias and imprecision. Cross validation techniques should be used to test multiple methods
Spatial distribution of abandoned arable land in former Soviet Union Countries, link to map in GeoTIFF format
负责人:
关键词:
DOI:
doi:10.1594/pangaea.880057
摘要:
We present a map of arable land (both utilized and abandoned) together with a validation data set for eight countries of the former Soviet Union (fSU
Data from: Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimates
负责人:
关键词:
2014;Holocene (2014);Vascular plant ITS2 data;Tracheophyta
DOI:
doi:10.5061/dryad.n9077
摘要:
. Here we present and validate a method, called LULU, for removing erroneous molecular operational taxonomic units (OTUs) from community data derived
Data from: Establishing macroecological trait datasets: digitalization, extrapolation, and validation of diet preferences in terrestrial mammal
负责人:
关键词:
traits diet ecology feeding evolution guild phylogenetic conservatism trophic structure
DOI:
doi:10.5061/dryad.6cd0v
摘要:
at a global scale for those diet categories with good validation results. The success rate of correctly digitizing data was 94%, indicating that the consistency
Data from: Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
负责人:
关键词:
extrapolation;Species distribution models;overfit;autocorrelation
DOI:
doi:10.5061/dryad.737gk
摘要:
h as autoregressive models, generalized least squares, or mixed models are used. Block cross-validation, where data are split strategically rather than randomly, can address
Additional file 19: of Exposure to the gut microbiota drives distinct methylome and transcriptome changes in intestinal epithelial cells duri
负责人:
关键词:
Biophysics Genetics Molecular Biology 39999 Chemical Sciences not elsewhere classified 69999 Biological Sciences not elsewhere classified Developmental Biology Inorganic Chemistry Science Policy Plant Biology
DOI:
doi:10.6084/m9.figshare.6142106
摘要:
rgeted methylation analysis using amplicon sequencing. Asterisks denote observations in the validation data that showed the same trend/direction as in the initial data, but wer
Additional file 19: of Exposure to the gut microbiota drives distinct methylome and transcriptome changes in intestinal epithelial cells duri
负责人:
关键词:
Biophysics Genetics Molecular Biology 39999 Chemical Sciences not elsewhere classified 69999 Biological Sciences not elsewhere classified Developmental Biology Inorganic Chemistry Science Policy Plant Biology
DOI:
doi:10.6084/m9.figshare.6142106.v1
摘要:
rgeted methylation analysis using amplicon sequencing. Asterisks denote observations in the validation data that showed the same trend/direction as in the initial data, but wer
Data from: Validation of grain yield QTL from soft winter wheat using a CIMMYT spring wheat panel
负责人:
Lozada, Dennis N.
关键词:
genome-wide association study grain yield marker-assisted selection Kompetitive allele specific primers quantitative trait loci single nucleotide polymorphisms
DOI:
doi:10.5061/dryad.50h1r7j
摘要:
Validation of quantitative trait loci (QTLs) is an essential step in marker-assisted breeding. The objectives of this study were to validate
Data from: Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer
负责人:
关键词:
classifier;classification;medical imaging;power analysis
DOI:
doi:10.5061/dryad.m5n98
摘要:
of training data by using random repeated sampling (RRS) in conjunction with a cross-validation sampling strategy. Extrapolated error rates are subsequently

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