Multi-behavioral fingerprints can identify the mode of action for neuroactive environmental chemicals _ VAMR2

Data and Code Description
This dataset contains zebrafish behavior metrics and R scripts for analysis and visualization. The data includes 26 metrics, such as baseline activity (BSL1-4), visual (VSR, VMR) and acoustic startle responses (ASR), habituation (ASH), interstimulus intervals (ISI, IEI), inter-bout intervals (IBI), and memory retention (ASR2/3), measured in pixels per second.
Nonparametric bootstrapping was used for statistical analyses, along with Kruskal-Wallis tests and Benjamini-Hochberg corrections for multiple comparisons. Effect sizes were calculated using Strictly Standardized Median Differences (SSMD).
R scripts are provided to generate cloud plots, SSMD heatmaps, and multidimensional scaling (MDS) plots. KNIME was used for data processing, while all visualizations were created in R Studio.
(Quantified using custom KNIME workflows (version 4.6.3) in combination with R scripts (R Core Team 2023) for statistical analysis and visualization. Statistical Analysis and Visualization Tools: Employed R add-on packages ggplot2 and RColorBrewer).

数据与代码描述：本数据集收录了斑马鱼行为指标及其分析与可视化所用的 R 脚本。数据涵盖了 26 项指标，包括基础活动（BSL1-4）、视觉（VSR，VMR）和声学惊跳反应（ASR）、习惯化（ASH）、刺激间间隔（ISI，IEI）、回合间间隔（IBI）以及记忆保持（ASR2/3），以像素每秒为测量单位。统计分析采用了非参数自举法，辅以克鲁斯卡尔-沃利斯检验和贝杰明尼-霍赫伯格校正以处理多重比较，效应量通过严格标准化中位数差异（SSMD）进行计算。提供 R 脚本以生成云图、SSMD 热图和多维尺度（MDS）图。数据处理采用 KNIME 进行，所有可视化均由 R Studio 创建。（采用定制 KNIME 工作流（版本 4.6.3）结合 R 脚本（R Core Team 2023）进行统计分析与可视化。统计分析与可视化工具：使用了 ggplot2 和 RColorBrewer R 扩展包。）