GENERAL INFORMATION
-------------------

Dataset Title: Respondents' noise annoyance ratings for airborne wind energy systems measured in a laboratory listening experiment

Authors: 

    * Helena Schmidt, https://orcid.org/0000-0002-2458-9329
    * Renatto Yupa Villanueva, https://orcid.org/0000-0002-2348-033X 
    * Daniele Ragni, https://orcid.org/0000-0002-8014-5650
    * Roberto Merino Martinez, https://orcid.org/0000-0003-2261-9595
    * Piet van Gool, https://orcid.org/0000-0001-8062-331X
    * Roland Schmehl, https://orcid.org/0000-0002-4112-841X
    
Corresponding author: 

    * Roland Schmehl, https://orcid.org/0000-0002-4112-841X, r.schmehl@tudelft.nl, Wind Energy Section, Faculty of Aerospace Engineering Faculty, 
      Delft University of Technology 


DESCRIPTION
-----------

This dataset was collected during a laboratory listening experiment involving 75 participants at the Psychoacoustic Listening Laboratory (PALILA) of Delft University of Technology. 
The study assessed noise annoyance caused by airborne wind energy systems (AWESs). Participants evaluated their annoyance levels using the ICBEN scales in response to nine recordings
derived from in-field measurements of two fixed-wing and one soft-wing ground-gen AWES. In addition to annoyance ratings, participants provided information on their hearing ability, 
hearing-related incidents (e.g., ear diseases, accidents, or exposure to loud work environments), noise sensitivity, familiarity with AWE, and demographic characteristics. 
The questionnaire employed a combination of closed and open questions to ensure a comprehensive dataset. Data collection occurred between June and September 2023 as part of 
Helena Schmidt's PhD research within the Wind Energy Section of Delft University of Technology. This dataset is publicly available as supplementary material for publications and 
the PhD thesis and is intended to support further research by the scientific community. The project was funded by a grant from the Dutch Research Council (NWO) [grant number 17628] 
and the "Listen to the Future" project [project number 20247] under the Veni 2022 program (Domain Applied and Engineering Sciences).


METHODOLOGICAL INFORMATION
--------------------------

* This study was approved by the Delft University of Technology Human Research Ethics Committee, following the Delft University of 
Technology Personal Research Data Workflow, in compliance with the General Data Protection Regulation (GDPR).

* Sampling procedure: Participants were mainly recruited among students and employees of Delft University of Technology.
Seven channels were used for advertising the study: posters across campus, the digital information screens at multiple faculties, the email newsletter of the Aerospace 
Engineering Faculty, the learning management system for Aerospace Engineering students, the university’s online agenda, the app Uni-Life, and the researchers’ professional 
and private networks. Any adult with self-reported normal hearing who felt physically well on the day of the experiment could participate.   

* Sample: Seventy-five participants took part in the study, ranging in age from 18 to 66 years, with an average of 28 years. 73% were male, 24% female, and 3% non-binary.

* Experimental procedure and data recording: An experimenter provided instructions to each participant, who then completed the experiment independently. A graphical user 
interface (GUI) was specifically developed for this research to guide participants through the experiment. In the first part, participants were asked to report their hearing 
ability, experiences with hearing-affecting incidents (such as ear diseases, accidents, or exposure to loud work environments), and overall well-being to confirm their 
eligibility for participation. The second part comprised the listening experiment, which began with a practice session to familiarize participants with the experimental process
and the rating scales. This was followed by two counterbalanced blocks, separated by an automatic, mandatory one-minute break: one block contained AWES sounds, and the other 
wind turbine sounds (annoyance ratings for the latter are not reported in this dataset). Participants reported their annoyance in response to the recordings on a 
verbal 5-point scale and a numerical 11-point scale. In the final part, participants reported their noise sensitivity, familiarity with AWE, and demographic information. 
The data collected through the GUI was exported as a CSV file and imported into R version 4.4.0 for data analysis. 
 
* A detailed description of the method can be found in the corresponding publication (XXX). Beware that the data from the items relating to wind turbines are not included in 
the journal publication.


  
FILE OVERVIEW
-------------

This dataset contains three files:

```

+-- Codebook.xlsx
+-- Dataset.csv
+-- README.txt    

```

The dataset contains 68 variables and 75 cases (Dataset.csv). The supplementary codebook (Codebook.xlsx) provides information about the items underlying 
variables and the response scales.


EXTRA INFORMATION
-----------------

* Units of measurement: noise annoyance was recorded on a 5-point and an 11-point scale; most other ordinal/scale variables were recorded on 5-point scales (0 to 4); 
the distance to the neighboring wind park was recorded in kilometers (km).

* Where data is missing in the dataset, the respective participant did not provide the data (marked with "-"), or the question did not apply to that participant 
(marked with "N.A."). See the codebook for further information on when questions were asked. 

* Specific names and places in responses to open questions have been removed to minimize the risk of reidentification.

* An acoustic characterization of the sound signals (i.e., A1, A2, etc.) used in the experiment can be found in the corresponding publication (XXX).

* The photos used to ask participants whether they are familiar with airborne wind energy can be found in the appendix of the corresponding publication (XXX).


ACCESS INFORMATION
------------------
 
The contents of this dataset are published under a Creative Commons Attribution 4.0 International license (CC-BY 4.0). This license lets you distribute, remix, tweak, 
and build upon the work, even commercially, as long as you credit the authors for the original creation. See full legal text at https://creativecommons.org/licenses/by/4.0/legalcode 


REFERENCES
----------

Last updated on 16-08-2024.


