Replication Data for: Dataset for electronic nose from various beef cutsdoi:10.34820/FK2/PVWSJ0Telkom University Dataverse2022-03-221Wijaya, Dedy Rahman, 2022, "Replication Data for: Dataset for electronic nose from various beef cuts", https://doi.org/10.34820/FK2/PVWSJ0, Telkom University Dataverse, V1, UNF:6:No58kRV750tHzYIbDqt7Gw== [fileUNF]Replication Data for: Dataset for electronic nose from various beef cutsdoi:10.34820/FK2/PVWSJ0Wijaya, Dedy RahmanTelkom University DataverseWijaya, Dedy RahmanWijaya, Dedy Rahman2022-03-22Computer and Information Scienceelectronic nosesignal processingbeef qualityclassificationregressionThis dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat. The process of beef spoilage is recorded using 11 Metal-Oxide Semiconductor (MOS) gas sensors during 2220 minutes. The dataset is formatted in "xlsx" file. Each sheet represents one beef cut which is contained columns as follows: Minute: time in minute TVC: continuous label in the total viable count Label: discrete label, 1,2,3,4 denote “excellent”,”good”,”acceptable”, and “spoiled”, respectively. MQ_: the resistant value of gas sensorsCC0 Waivere-nose_dataset_12_beef_cuts.tab222014text/tab-separated-valuesUNF:6:No58kRV750tHzYIbDqt7Gw==Minute1.0.2220.02220.01110.50.01110.5641.0031201172113UNF:6:k1YPLu9gRBsstQpiQHbX0A==TVC2220.0.5.619732765434412.00222000000000031.06722885334919940.05.1226232258408864.58893954520513UNF:6:XtuocX3GgXlYjnvBpj/+rg==Label4.02220.01.09409003063744280.0.1.03.21621621621619764.0UNF:6:b2jzgM7vANIjG1LcNE4Hag==MQ13518.01.10096651767396410.952220.013.30302252252252213.08.0.0UNF:6:rzB4MMmbXf1RC+mAOXSkWg==MQ1366.476.8611351351351364.8715.841.46525665994804740.0.2220.0UNF:6:n7oE3KDn4O+waeUs6/zvqw==MQ13719.44591891891892.2220.022.7121.54.01625937328445650.07.67UNF:6:gdTRA5WPKvcR6toSeXBiiQ==MQ13810.3710.8954369369369352.137558284500213.2220.07.7321.430.0UNF:6:7Vug6hGxOf8LpghhkmIJcQ==MQ216.8.1.35832807352765082220.06.817.1476261261261264.90.0UNF:6:9YHlMtSCgi3UJoVkTKC2jw==MQ324.182220.014.7714.84744594594594810.74.0.02.0955302351510996UNF:6:9Jnkmu+GmRKktS1NEd2mhA==MQ412.751.9548991674989633.72.6.0943108108108115.342220.00.0UNF:6:0qmC7D6VN1QSOoNSHDnFoQ==MQ522.490.015.24473423423424215.258.343.0758478054084772220.0.UNF:6:ZUEHsx0o5BVTyowlGieOHg==MQ618.082220.00.013.780.992355552617134931.71.17.936954954954953UNF:6:sQQtaDzWHVXNhWecTTig6A==MQ80.02.75922870251010437.55629279279278.46.5129.462220.037.67UNF:6:FcWzAbcBGwVr/mANkBjVJg==MQ99.5914.880.0.11.752220.00.778132782916624611.837599099099098UNF:6:AggVzC6X/kLzvwNgPo5soQ==