Data for Damashek et al. 2022 Upper Oconee ARGs manuscript v2

Dataset for Damashek et al. 2022 manuscript on ARGs and fecal source tracking in the Upper Oconee River watershed (GA, USA). Updated from previous version to include volume of water sampled for each DNA sample. Sheet 1: Gene abundances and sampling information for each DNA sample. Gene abundances are calculated as copies µL DNA–1, copies mL–1 site water, and as a ratio to bacterial 16S rRNA gene abundance. Sheet 2: Environmental data at sampling sites. Separate sheets show data and corresponding metadata. Site-linked sewer and septic data are withheld due to privacy concerns. Sheet 3: Correlations between genes. Correlations (Spearman’s r, Benjamini-Hochberg corrected p) between genes across the entire dataset. See Damashek et al. (in review) for analyses. Bibliographic information will be published here upon acceptance.本数据集为支撑Damashek等人2022年研究手稿的数据集，聚焦美国佐治亚州上奥科尼河流域（Upper Oconee River watershed, GA, USA）的抗生素耐药基因（Antibiotic Resistance Genes, ARGs）与粪便源追踪相关研究。相较于此前版本，本次更新新增了每份DNA样本对应的采样水体体积信息。工作表1：每份DNA样本的基因丰度与采样信息。基因丰度的计算维度包括拷贝数/微升DNA（copies µL DNA–1）、拷贝数/毫升采样水体（copies mL–1 site water），以及相对于细菌16S核糖体RNA（16S rRNA）基因丰度的比值。工作表2：采样点位的环境数据，各独立工作表分别包含数据集与对应元数据。由于隐私保护相关要求，与采样点位关联的下水道与化粪池数据暂未公开。工作表3：基因间的相关性分析结果，即全数据集范围内各基因间的相关性（斯皮尔曼秩相关系数r、经本雅明尼-霍赫贝格（Benjamini-Hochberg）校正的P值）。相关分析方法详见Damashek等人（待刊）研究。稿件录用后，相关参考文献信息将在此处发布。