This dataset comprises the biomass sampling component analysed from samples collected as part of the Integrated Marine Observing Systems (IMOS) National Mooring Network - National Reference Station (N

Research Data Australia60

Methods for normalizing microbiome data: an ecological perspective

微生物组数据归一化

生态群落分析

1. Microbiome sequencing data often need to be normalized due to differences in read depths, and recommendations for microbiome analyses generally warn against using proportions or rarefying to normal

DataONE2020-06-24 更新30

Results of the multiple regression on matrices analysis for the whole community.

生态群落分析

多元回归建模

The variation (R2; both values are significant at P≤0.0001) of community distance that is explained by the remaining variables and the partial regression coefficients (b) of the final model is reporte

NIAID Data Ecosystem70

Computational code for CCV metrics and two empirical datasets (D. dichotoma and S. viridis)

生态群落分析

多尺度网格采样

The zipped file contains: 1) the self-explained R script for conducting multi-scale grid sampling and calculating various CCV metrics presented in the paper, 2) the users' guide for the R code, 3) abu

NIAID Data Ecosystem30

PERMANOVA results.

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