

1. Introductory information
o Title of the dataset: Neuromarketing-2004-2019
o Explain the file naming convention: The name of the dataset indicates all (academic) records about neuromarketing analysed between the 
o Format of the file: .xlsx
o Contact information: Corresponding author: l.alvino@utwente.nl

2. Methodological information

o Method description for collecting or generating the data: 
Literature review. The data file contains a list of 219 selected records on neuromarketing. The academic records were selected from Scopus using the following query: (“neuromarketing” OR (“consumer” AND “neuroscience”). The data was collected between 2004 and 2019. 

o Any instrument-specific information needed to understand or interpret the data: Data are organised in a simple way. We organise the dataset based on the record's author, title, and year of publication. The dataset also shows the classification criteria for the marketing domain of the application (e.g., Advertisement), the type of product or service tested (e.g., Food/Drink), and the type of article analysed (e.g., empirical, review, conceptual, reports). The cognitive or behavioural measurement (e.g., product experience, attention) and tool employed for data collection in each empirical study are also recorded (e.g., GSR and an explanation of the abbreviation is mentioned below). The topic indicates a short description of the article. 


o Excel was used to analyse and read the dataset

Describe any quality-assurance procedures performed on the data: First, the records were screened by evaluating their abstract and conclusions. If the article were not relevant, it would disregarded. 


3. Data specific information: Please see point 2. The following information are reported in the dataset: 
Author/s
Journal
Year
Tool employed
Cognitive/Behavioral measurements
Marketing Application
Product Type
Topic 
Type of paper


Full names and definitions: 

o Units of measurement
o Definitions for codes or symbols used to record missing data: N/A
o Specialized formats or abbreviations used:
Electrocardiogram (ECG)
electrodermal activity (EDA)
galvanic skin response (GSR)
eye-tracker (ET) 
electroencephalography (EEG): wearable and standard
functional magnetic resonance imaging (fMRI) 
facial expression recognition software (Facial) 
functional near-infrared spectroscopy (fNIRS)
