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The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100
In many developed countries, human life expectancy has doubled over the last 180 years. Underlying this higher life expectancy is a change in how we age. Biomarkers of ageing are used to quantify changes in the aging process and to determine biological age. Perceived age is such a biomarker that cor...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823431/ https://www.ncbi.nlm.nih.gov/pubmed/31672994 http://dx.doi.org/10.1038/s41597-019-0245-9 |
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author | Jones, Julia A. Barthold Nash, Ulrik W. Vieillefont, Julien Christensen, Kaare Misevic, Dusan Steiner, Ulrich K. |
author_facet | Jones, Julia A. Barthold Nash, Ulrik W. Vieillefont, Julien Christensen, Kaare Misevic, Dusan Steiner, Ulrich K. |
author_sort | Jones, Julia A. Barthold |
collection | PubMed |
description | In many developed countries, human life expectancy has doubled over the last 180 years. Underlying this higher life expectancy is a change in how we age. Biomarkers of ageing are used to quantify changes in the aging process and to determine biological age. Perceived age is such a biomarker that correlates with biological age. Here we present a unique database rich with possibilities to study the human ageing process. Using perceived age enables us to collect large amounts of data on biological age through a citizen science project, where people upload facial pictures and guess the ages of other people at www.ageguess.org. The data on perceived age we present here span birth cohorts from the years 1877 to 2012. The database currently contains around 220,000 perceived age guesses. Almost 4500 citizen scientists from over 120 countries of origin have uploaded ~4700 facial photographs. Beyond studying the ageing process, the data present a wealth of possibilities to study how humans guess ages and who is better at guessing ages. |
format | Online Article Text |
id | pubmed-6823431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68234312019-11-07 The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 Jones, Julia A. Barthold Nash, Ulrik W. Vieillefont, Julien Christensen, Kaare Misevic, Dusan Steiner, Ulrich K. Sci Data Data Descriptor In many developed countries, human life expectancy has doubled over the last 180 years. Underlying this higher life expectancy is a change in how we age. Biomarkers of ageing are used to quantify changes in the aging process and to determine biological age. Perceived age is such a biomarker that correlates with biological age. Here we present a unique database rich with possibilities to study the human ageing process. Using perceived age enables us to collect large amounts of data on biological age through a citizen science project, where people upload facial pictures and guess the ages of other people at www.ageguess.org. The data on perceived age we present here span birth cohorts from the years 1877 to 2012. The database currently contains around 220,000 perceived age guesses. Almost 4500 citizen scientists from over 120 countries of origin have uploaded ~4700 facial photographs. Beyond studying the ageing process, the data present a wealth of possibilities to study how humans guess ages and who is better at guessing ages. Nature Publishing Group UK 2019-10-31 /pmc/articles/PMC6823431/ /pubmed/31672994 http://dx.doi.org/10.1038/s41597-019-0245-9 Text en © The Author(s) 2019 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Jones, Julia A. Barthold Nash, Ulrik W. Vieillefont, Julien Christensen, Kaare Misevic, Dusan Steiner, Ulrich K. The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 |
title | The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 |
title_full | The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 |
title_fullStr | The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 |
title_full_unstemmed | The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 |
title_short | The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100 |
title_sort | ageguess database, an open online resource on chronological and perceived ages of people aged 5–100 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823431/ https://www.ncbi.nlm.nih.gov/pubmed/31672994 http://dx.doi.org/10.1038/s41597-019-0245-9 |
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