Replication Data for: Dataset for electronic nose from various beef cuts

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Wijaya, 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]

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Description	This 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 sensors (2018-10-27)
Subject	Computer and Information Science
Keyword	electronic nose, signal processing, beef quality, classification, regression

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	e-nose_dataset_12_beef_cuts.tab Tabular Data - 191.4 KB - Mar 22, 2022 - 103 Downloads 14 Variables, 2220 Observations - UNF:6:No58kRV750tHzYIbDqt7Gw==	Access File Download Options Original File Format (MS Excel Spreadsheet) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX

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Dataset Persistent ID	doi:10.34820/FK2/PVWSJ0
Publication Date	2022-03-22
Title	Replication Data for: Dataset for electronic nose from various beef cuts
Author	Wijaya, Dedy Rahman (Telkom University) - ORCID: 0000-0003-0351-7331
Contact	Use email button above to contact. Wijaya, Dedy Rahman (Telkom University)
Description	This 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 sensors (2018-10-27)
Subject	Computer and Information Science
Keyword	electronic nose (e-nose) signal processing beef quality classification regression
Depositor	Wijaya, Dedy Rahman
Deposit Date	2022-03-22

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