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MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope

Modern automated telescopes allow to capture astronomical images in a reproducible way. During the MILAN research project (MachIne Learning for AstroNomy), we have observed deep sky with a Stellina observation station for twelve months from the Luxembourg Greater Region. Thus, we have captured raw i...

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Detalles Bibliográficos
Autores principales: Parisot, Olivier, Hitzelberger, Patrik, Bruneau, Pierrick, Krebs, Gilles, Destruel, Christophe, Vandame, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293918/
https://www.ncbi.nlm.nih.gov/pubmed/37383774
http://dx.doi.org/10.1016/j.dib.2023.109133
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author Parisot, Olivier
Hitzelberger, Patrik
Bruneau, Pierrick
Krebs, Gilles
Destruel, Christophe
Vandame, Benoît
author_facet Parisot, Olivier
Hitzelberger, Patrik
Bruneau, Pierrick
Krebs, Gilles
Destruel, Christophe
Vandame, Benoît
author_sort Parisot, Olivier
collection PubMed
description Modern automated telescopes allow to capture astronomical images in a reproducible way. During the MILAN research project (MachIne Learning for AstroNomy), we have observed deep sky with a Stellina observation station for twelve months from the Luxembourg Greater Region. Thus, we have captured raw images of more than 188 deep sky objects visible from the Northern Hemisphere (galaxies, stars clusters, nebulae, etc.), We have compiled and published this data as the MILAN Sky Survey dataset, allowing interested researchers, industry practitioners and citizens to reuse it.
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spelling pubmed-102939182023-06-28 MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope Parisot, Olivier Hitzelberger, Patrik Bruneau, Pierrick Krebs, Gilles Destruel, Christophe Vandame, Benoît Data Brief Data Article Modern automated telescopes allow to capture astronomical images in a reproducible way. During the MILAN research project (MachIne Learning for AstroNomy), we have observed deep sky with a Stellina observation station for twelve months from the Luxembourg Greater Region. Thus, we have captured raw images of more than 188 deep sky objects visible from the Northern Hemisphere (galaxies, stars clusters, nebulae, etc.), We have compiled and published this data as the MILAN Sky Survey dataset, allowing interested researchers, industry practitioners and citizens to reuse it. Elsevier 2023-04-11 /pmc/articles/PMC10293918/ /pubmed/37383774 http://dx.doi.org/10.1016/j.dib.2023.109133 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Parisot, Olivier
Hitzelberger, Patrik
Bruneau, Pierrick
Krebs, Gilles
Destruel, Christophe
Vandame, Benoît
MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
title MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
title_full MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
title_fullStr MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
title_full_unstemmed MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
title_short MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
title_sort milan sky survey, a dataset of raw deep sky images captured during one year with a stellina automated telescope
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293918/
https://www.ncbi.nlm.nih.gov/pubmed/37383774
http://dx.doi.org/10.1016/j.dib.2023.109133
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