DUT-LF-V2是由大连理工大学信息与通信工程学院创建的大型光场数据集，包含4204个样本，分为102个子类。该数据集涵盖多种室内外场景，包括RGB图像、深度图、焦点堆栈和多视角图像，适用于RGB、RGB-D和光场显著性检测。创建过程涉及数据收集、标注和分割，旨在解决光场数据在规模、类别和元素类型方面的不足，以及高维数据处理和模型泛化的问题。

arXiv2020-12-30 更新90

P-values from Tukey-Kramer HSD Pairwise Comparisons of Total Number of Lipids Detected in Each Component.

脂质组学

显著性检测

NS—Not SignificantP-values from Tukey-Kramer HSD Pairwise Comparisons of Total Number of Lipids Detected in Each Component.

Figshare2015-12-03 更新30

β coefficients and P values for independent variables of multivariate linear regression * .

多层线性回归

显著性检测

β coefficients and P values for independent variables of multivariate linear regression*.

NIAID Data Ecosystem90

Statistical analysis of contour principal components.

主成分分析

显著性检测

Inertia corresponds to the amount of variability explained by the corresponding component. The analysis of variance results in a p-value computed for each experimental factors of each principal compon

NIAID Data Ecosystem60