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The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans

Amidst a global biodiversity crisis, shedding light on the factors that make us like a species can help us understand human’s nature-related attitudes and inform conservation actions, e.g. by leveraging flagship potential and helping identify threats. Despite scattered attempts to quantify birds’ ae...

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Autores principales: Haukka, Anna, Lehikoinen, Aleksi, Mammola, Stefano, Morris, William, Santangeli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198970/
https://www.ncbi.nlm.nih.gov/pubmed/37208398
http://dx.doi.org/10.1038/s41597-023-02169-0
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author Haukka, Anna
Lehikoinen, Aleksi
Mammola, Stefano
Morris, William
Santangeli, Andrea
author_facet Haukka, Anna
Lehikoinen, Aleksi
Mammola, Stefano
Morris, William
Santangeli, Andrea
author_sort Haukka, Anna
collection PubMed
description Amidst a global biodiversity crisis, shedding light on the factors that make us like a species can help us understand human’s nature-related attitudes and inform conservation actions, e.g. by leveraging flagship potential and helping identify threats. Despite scattered attempts to quantify birds’ aesthetic attractiveness to humans, there is no large-scale database providing homogeneous measures of aesthetic attractiveness that are comparable across bird species. We present data on the visual aesthetic attractiveness of bird species to humans, generated through an internet browser-based questionnaire. Respondents (n = 6,212) were asked to rate the appearance of bird species on a scale from 1 (low) to 10 (high) based on photographs from the Cornell Lab of Ornithology’s Macaulay Library. The rating scores were modeled to obtain final scores of visual aesthetic attractiveness for each bird. The data covers 11,319 bird species and subspecies, with respondents from multiple backgrounds providing over 400,000 scores. This is the first attempt to quantify the overall visual aesthetic attractiveness of the world’s bird species to humans.
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spelling pubmed-101989702023-05-21 The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans Haukka, Anna Lehikoinen, Aleksi Mammola, Stefano Morris, William Santangeli, Andrea Sci Data Data Descriptor Amidst a global biodiversity crisis, shedding light on the factors that make us like a species can help us understand human’s nature-related attitudes and inform conservation actions, e.g. by leveraging flagship potential and helping identify threats. Despite scattered attempts to quantify birds’ aesthetic attractiveness to humans, there is no large-scale database providing homogeneous measures of aesthetic attractiveness that are comparable across bird species. We present data on the visual aesthetic attractiveness of bird species to humans, generated through an internet browser-based questionnaire. Respondents (n = 6,212) were asked to rate the appearance of bird species on a scale from 1 (low) to 10 (high) based on photographs from the Cornell Lab of Ornithology’s Macaulay Library. The rating scores were modeled to obtain final scores of visual aesthetic attractiveness for each bird. The data covers 11,319 bird species and subspecies, with respondents from multiple backgrounds providing over 400,000 scores. This is the first attempt to quantify the overall visual aesthetic attractiveness of the world’s bird species to humans. Nature Publishing Group UK 2023-05-19 /pmc/articles/PMC10198970/ /pubmed/37208398 http://dx.doi.org/10.1038/s41597-023-02169-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Haukka, Anna
Lehikoinen, Aleksi
Mammola, Stefano
Morris, William
Santangeli, Andrea
The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans
title The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans
title_full The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans
title_fullStr The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans
title_full_unstemmed The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans
title_short The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans
title_sort iratebirds citizen science project: a dataset on birds’ visual aesthetic attractiveness to humans
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198970/
https://www.ncbi.nlm.nih.gov/pubmed/37208398
http://dx.doi.org/10.1038/s41597-023-02169-0
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