README file

Data Set Title: “OLEUM Project. Sensory panels analysis of commercial virgin olive oil samples. Results from the first and second year of the OLEUM project”. 

Data Set Authors: Sara Barbieri (University of Bologna, Italy), Karolina Brkić Bubola (Institute of Agriculture and Tourism, Croatia), Alessandra Bendini (University of Bologna, Italy), Milena Bučar-Miklavčič (Science and Research Centre Koper, Slovenia), Florence Lacoste (Institut des Corps Gras, France), Ummuhan Tibet (Ulusal Zeytin ve Zeytinyağı Konseyi, Turkey), Ole Winkelmann (Eurofins Analytik GmbH, Germany), Diego Luis García-González (Instituto de la Grasa, Spain), Tullia Gallina Toschi (University of Bologna, Italy). 

Data Set Contact Person: Alessandra Bendini, http://orcid.org/0000-0002-6515-5519, alessandra.bendini@unibo.it.

Data Set License: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/.

Publication Year: 2020

Project Info: OLEUM (Advanced solutions for assuring the overall authenticity and quality of olive oil), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 635690; http://www.oleumproject.eu/.  

Data set contents
The data set consists of:
•	a numerical quantitative file, containing 6 sheets, saved both in .xlsx and .ods formats 
“OLEUM_SensoryPanels_DataElaboration.xlsx”
“OLEUM_SensoryPanels_DataElaboration.ods”

•	a README file 
“OLEUM_SensoryPanels_DataElaboration_README.rtf”

Data set Documentation
Abstract
This data set contains the underlying data of the scientific publication:
Barbieri S., Brkić Bubola K., Bendini A., Bučar-Miklavčič M., Lacoste F., Tibet U., Winkelmann O., Luis García-González D., Gallina Toschi T., 2020. Alignment and proficiency of virgin olive oil sensory panels: the OLEUM approach.
This publication has been submitted to a scientific journal.
A set of 334 commercial virgin olive oil (VOO) samples were evaluated by six sensory panels during the H2020 OLEUM project. Sensory data were elaborated with two main objectives: i) to classify and characterize samples in order to use them for possible correlations with physical-chemical data and ii) to monitor and improve the performance of panels. After revision of the IOC guidelines in 2018, this work represents the first published attempt to verify some of the recommended quality control tools, in order to increase harmonization among panels. Specifically, a new "decision tree" scheme was developed, and some IOC quality control procedures, were applied. The adoption of these tools allowed for reliable classification of 289 of 334 VOOs; for the remaining 45, misalignments between panels of first (on the category, 21 cases) or second type (on the main perceived defect, 24 cases) occurred. In these cases, a “formative reassessment” was necessary. At the end, 329 of 334 VOOs (98.5%) were classified, thus confirming the effectiveness of this approach to achieve a better proficiency. Panels showed good performance, but the need to adopt new reference materials that are stable and reproducible to improve the panel’s skills and agreement also emerged.

Content of the file “OLEUM_SensoryPanels_DataElaboration.xlsx/.ods”: 
•	sheet named “medians_180 samples_1_year.xlsx” that contains median values of intensities of attributes provided by each of the six panels (P1-P6) of 180 samples collected during the first year of the OLEUM project. 
•	sheet named “medians_154 samples_2_year.xlsx” that contains median values of intensities of attributes provided by each of the six panels (P1-P6) of 154 samples collected during the second year of the OLEUM project.
•	sheet named “means_180 samples_1_year.xlsx” that contains mean values of medians of intensities of attributes provided by each of the six panels (P1-P6) of 180 samples collected during the first year of the OLEUM project. 
•	sheet named “means_154 samples_2_year.xlsx” that contains mean values of medians of intensities of attributes provided by each of the six panels (P1-P6) of 154 samples collected during the second year of the OLEUM project. 
•	sheet named CV%_180 samples_1_year.xlsx” that contains robust coefficient of variations related to the mean perceived defect (CV%_mpd) and intensity of fruity attribute (CV%_fruity) provided by each of the six panels (P1-P6) of 180 samples collected during the first year of the OLEUM project. 
•	sheet named CV%_154 samples_2_year.xlsx” that contains robust coefficient of variations related to the mean perceived defect (CV%_mpd) and intensity of fruity attribute (CV%_fruity) provided by each of the six panels (P1-P6) of 154 samples collected during the second year of the OLEUM project. 

File specifics
To create the .ods file from the original .xlsx, “LibreOffice Calc” version: 6.0.5.2 (portable) was used.

List of variables 
Variable name	Description	
PANEL	Group of assessors (P1-P6)	
SAMPLE CODE	Code assigned to each analysed sample	
FUSTY-MUDDY SEDIMENT	Negative sensory attribute (defect)	
MUSTY-HUMID-EARTHY	Negative sensory attribute (defect)	
WINEY-VINEGARY	Negative sensory attribute (defect)	
FROSTBITTEN OLIVES	Negative sensory attribute (defect)	
RANCID	Negative sensory attribute (defect)	
OTHERS NEG.	Other possible negative sensory attributes (defects)	
FRUITY	Positive sensory attribute	
BITTER	Positive sensory attribute	
PUNGENT	Positive sensory attribute	
CV%_mpd	Percentage of Robust Coefficient of Variation calculated for the main perceived defect	
CV%_fruity	Percentage of Robust Coefficient of Variation calculated for the fruity attribute