Data for: FlotationNet: A hierarchical deep learning network for froth flotation recovery prediction

Data are from a manufacturing froth flotation plant. The first column shows time and date range (from march of 2017 until september of 2017).The second and third columns are quality measures of the iron ore pulp right before it is fed into the flotation plant. Column 4 until column 8 are the most important variables that impact in the ore quality in the end of the process. From column 9 until column 22, we can see process data (level and air flow inside the flotation columns, which also impact in ore quality. The last two columns are the final iron ore pulp quality measurement from the lab.本数据集的数据取自某制造业泡沫浮选厂（froth flotation plant）。其第一列为时间日期区间，覆盖2017年3月至2017年9月。第二、第三列为送入浮选厂前的铁矿浆（iron ore pulp）质量指标。第四至第八列为影响该流程最终矿石质量的核心变量。第九至第二十二列为浮选塔（flotation columns）内的工艺参数，包含液位与空气流量，此类参数同样会对最终矿石质量产生影响。最后两列为实验室检测得到的最终铁矿浆质量结果。