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).数据与代码说明 本数据集包含斑马鱼行为学指标及用于分析与可视化的R脚本。所收录数据涵盖26项行为指标，具体包括基础活动水平（BSL1-4）、视觉惊跳反应（VSR）、视觉运动反应（VMR）与听觉惊跳反应（ASR）、习惯化效应（ASH）、刺激间间隔（ISI、IEI）、发作间间隔（IBI）以及记忆留存能力（ASR2/3），所有指标的计量单位均为像素每秒。 统计分析采用非参数Bootstrap方法，同时结合Kruskal-Wallis检验与Benjamini-Hochberg多重比较校正法；效应量通过严格标准化中位数差异（Strictly Standardized Median Differences, SSMD）计算得出。 附带的R脚本可用于生成云图、SSMD热图及多维标度（Multidimensional Scaling, MDS）图。数据处理环节采用KNIME软件完成，所有可视化工作均在R Studio中实现。 （量化流程基于自定义KNIME工作流（版本4.6.3），结合R脚本（R核心团队2023）开展统计分析与可视化。统计分析及可视化所用工具包括R扩展包ggplot2与RColorBrewer）