Author: M. Fatih Adak, Peter Lieberzeit, Purim Jarujamrus, Nejat Yumusak
Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Alcohol+QCM+Sensor+Dataset) - 2019
Please cite: [M. Fatih Adak, Peter Lieberzeit, Purim Jarujamrus, Nejat Yumusak, Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network, Engineering Science and Technology, an International Journal, 2019, ISSN 2215-0986](https://www.sciencedirect.com/science/article/pii/S2215098619303337?via%3Dihub)
In the dataset there are 5 types of dataset.QCM3, QCM6, QCM7, QCM10, QCM12In each of dataset, there is alcohol classification of five types,1-octanol, 1-propanol, 2-butanol, 2-propanol, 1-isobutanolIn this file the 5 datasets are merged into 1 dataset, with each25 entries representing 1 original dataset, respectively.The gas sample is passed through the sensor in five differentconcentrations. These concentrations are:Concentration Air ratio (ml) Gas ratio (ml)1 0.799 0.2012 0.700 0.3003 0.600 0.4004 0.501 0.4995 0.400 0.600There are two channels in the sensor. One of these circles forms channel 1,and the other forms channel 2. MIP and MP ratios used in the QCM sensors are,Sensor name MIP ratio NP ratioQCM3 1 1QCM6 1 0QCM7 1 0.5QCM10 1 2QCM12 0 1
In this file, the 5 datasets are merged into 1, with each 25 rows representing 1 original dataset.