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.

本次随附的数据集为2019年一项以流式细胞术（Flow Cytometry, FCM）为核心的研究的核心数据，该研究旨在评估中东地区3座全规模区域冷却厂（District Cooling Plants, DCPs）的生物污损管控方案。本数据集包含对上述区域冷却厂取水样进行染色后的原始流式细胞术结果：染色剂采用SYBR Green 1（对应FL1通道）或碘化丙啶（Propidium Iodide, FL3通道）。其中，SYBR Green 1染色可用于区分样本中的浮游细胞与碎屑，而碘化丙啶则用于计数细胞膜受损的细胞。依托本数据集可计算样本中完整（本质为存活）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特征，进而评估本次研究涉及的区域冷却厂的生物污损管理方案。本数据集可兼容R语言中的流式细胞术计算分析流程，相关流式细胞术计算分析结果已以上述标题提交待刊。

DCP_FCM_data.zip：本数据集包含1244个FCS（Flow Cytometry Standard，流式细胞术标准格式）格式的流式细胞术文件。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座区域冷却厂（编号为KC、RB及YI）的3个采样点位（点位A为补给水龙头、点位B为冷却水塔、点位C为冷凝器出水）采集水样，本数据集即对应上述采样得到的样本。文件命名规则分为两部分：首先为样本在Accuri工作区文件中的位置（由字母数字组合标识，例如B01），随后为本实验室标准化的样本ID格式：[工厂编号]-[采样点位]-[样本类型]-[样本状态]-[样本序号]；同时通过后缀标注所使用的染色剂：后缀为"-SG.fcs"的样本采用1×SYBR Green 1染色，"-PI.fcs"为采用6微摩尔浓度碘化丙啶染色的样本，"-US.fcs"则为未染色的对照样本。文件名还可体现采样点位的运行状态："A"代表采样时点位处于启用状态，"D"代表处于待机停用状态，"W"则表示样本类型为水体样本。

DCP_metadata.csv：该元数据用于描述样本来源的区域冷却厂信息，以辅助流式细胞术数据的R语言分析。数据集包含两部分内容：一是直接从现场SCADA（Supervisory Control And Data Acquisition，监控与数据采集系统）获取的工厂元数据，二是实验室测得的水体化学数据（包括总无机碳（Total Inorganic Carbon, TIC）、总有机碳（Total Organic Carbon, TOC）、电导率及pH值）。该文件的"样本名称"列与FCS文件的文件名一一对应，可用于在R语言中为流式细胞术数据匹配对应元数据。字段值为"NA"代表该数据点缺失。