Data for: Computational flow cytometry of planktonic populations for the evaluation of biofouling control programs in district cooling plants

The data attached here represent the core data for a 2019 flow cytometry (FCM)-centered study to evaluate biofouling control programs at 3 full-scale district cooling plants (DCPs) in the Middle East. The data shows raw flow cytometry results from staining water samples from these plants with SYBR Green 1 (FL1 channels) or propidium iodide (FL3 channels). Staining with SYBR Green 1 was used to discern between planktonic cells and debris in the sample, whereas propidium iodide was used to enumerate membrane-compromised cells. This data can be used to calculate the number of intact (essentially living) cells in the samples which , when combined with the below metadata, can be used to reveal spatiotemporal dynamics in planktonic counts of biofouling communities. From these dynamics, an evaluation of the biofouling management practices at the study DCPs can be made. The data is compatible with computational FCM pipelines in R and the results of a computational FCM analysis have been submitted for publication under the above title. DCP_FCM_data.zip - The data consist of 1,244 flow cytometry files in FCS format. FCS files were generated on an Accuri C6 Plus flow cytometer. FCS files represent samples collected from three locations (designated A- make-up water faucets, B - water cooling towers and C - condenser outlet waters) from each of 3 district cooling plants (designated KC, RB and YI) daily over a 5 week sampling period in 2019. Files are named based on the position of the sample in the Accuri workspace file (indicated by an alphanumeric, e.g. B01) followed by our lab's standardized sample ID conventions which take the format [Plant]-[site]-[sample type]-[status]-[sample no.] and are annotated based on the stain applied as follows: "-SG.fcs" are samples stained with 1 x SYBR Green 1, "-PI.fcs" are stained with 6 micromolar propidium iodide and "-US.fcs" are unstained control samples. File names also indicate whether the sampling point was A- active (in use) or D- deactive (on standby) at the time of sampling and "W"- simply indicates that the samples are of type "water". DCP_metadata.csv - Metadata describing the DCPs from where the samples were taken to contextualize the flow cytometry data for analysis in R. This data is composed of plant metadata taken directly from the SCADA systems on site and water chemistry data that was acquired in lab (TIC, TOC, conductivity and pH). Sample name column matches those of the FCS files and can be used to assign this metadata in R. "NA"- indicates where the data point was not available.本附件所附数据为2019年一项以流式细胞术（flow cytometry, FCM）为核心的研究的核心数据集，该研究旨在评估中东地区3座规模化区域供冷厂（district cooling plants, DCPs）的生物污损管控方案。 本数据集包含上述区域供冷厂取水样经SYBR Green 1（标记FL1通道）或碘化丙啶（propidium iodide，标记FL3通道）染色后的原始流式细胞术检测结果。其中，SYBR Green 1染色可用于区分样品中的浮游细胞与碎屑，而碘化丙啶染色则用于计数细胞膜受损的细胞。 通过本数据集可计算样品中完整（即存活）细胞的数量；结合下述元数据，可进一步揭示生物污损群落浮游细胞计数的时空动态变化。基于这些动态变化，可对本研究涉及的区域供冷厂的生物污损管理方案进行评估。本数据集可兼容R语言中的流式细胞术计算分析流程，相关流式计算分析结果已以上述标题提交待刊。 DCP_FCM_data.zip：该压缩包包含1244个FCS格式的流式细胞术数据文件。所有FCS文件均由Accuri C6 Plus流式细胞仪生成。2019年为期5周的采样周期内，研究人员每日从3座区域供冷厂（编号为KC、RB与YI）的3个采样点位——A组补水龙头、B组冷却塔、C组冷凝水出水口——采集水样，本数据集即对应上述所有采样得到的结果。文件名由两部分组成：首先是样本在Accuri工作区文件中的位置标识（由字母数字组合构成，例如B01），其后遵循本实验室标准化样本ID命名规则，格式为[供冷厂编号]-[采样点位]-[样本类型]-[状态]-[样本序号]；文件名还会根据染色方式添加后缀：后缀为-SG.fcs的样本经1×SYBR Green 1染色，-PI.fcs的样本经6μmol/L碘化丙啶染色，-US.fcs则为未染色对照样本。文件名同时标注了采样点位在采样时的运行状态：A代表运行中（in use），D代表待机中（on standby）；后缀W则表明样本类型为水样。 DCP_metadata.csv：该文件为元数据文件，用于补充说明采样所在的区域供冷厂信息，以便在R语言中对流式细胞术数据进行上下文关联分析。元数据包含直接从现场监控与数据采集系统（Supervisory Control And Data Acquisition, SCADA）获取的供冷厂运行参数，以及实验室测得的水质化学数据（总无机碳（Total Inorganic Carbon, TIC）、总有机碳（Total Organic Carbon, TOC）、电导率与pH值）。文件中的样本名称列与FCS文件的文件名一一对应，可用于在R语言中为流式数据匹配元数据；字段值为"NA"表示对应数据点缺失。