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Zone 2 biophysical gradients
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创建时间：
2020-12-18
相关数据集
Table S8 (Stepwise)
Table S8. Results of the stepwise model selection using weighted least squares examining relationships between Mantel coefficients and species variables using the AIC and the BIC for both WorldClim an
Dryad2014-01-01 更新70
Supplement 1. R script and input data file for creating multilevel models using the forest herb data set described in the main text.
File List MLM.R (md5: 432ae9cbc2a4a0ff70c8a2c3e5d7de05) MLM_dataset.csv (md5: 6519956fea79f678e665ee50fdcba301) Description The code included in MLM.R uses the forest herb data in MLM_dataset.csv to c
WILEY2016-08-10 更新50
Summary information for the logistic regression of red tide occurrence vs year (year-only model) for each region.
Summary information for the logistic regression of red tide occurrence vs year (year-only model) for each region.
Figshare2020-09-18 更新20
Top five models for total daily provisioning rate.
*Dev = model deviance. Global model: nestling age + brood size + tmax + nestling age* tmax + brood size* tmax + nestling age*brood size. Random term: brood identity. N = 28 observations of 12 broods f
Figshare2015-12-02 更新60
Student t-values and probabilities for generalized least squares (GLS) models and alternative GLMM-models (in parenthesis) for wild forest reindeer population size, the moose abundance index and the wolf population in eastern Finland from 1996–2017.
Based on residual autocorrelation tests, AR correlation structures were used in models if the residuals were autocorrelated. Cox & Snell pseudo R2 were computed for the GLS-models.
NIAID Data Ecosystem30
