Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]

Fung, Pak Lun; Savadkoohi, Marjan; Zaidan, Martha Arbayani; Niemi, Jarkko V.; Timonen, Hilkka; Pandolfi, Marco; Alastuey, Andrés; Querol, Xavier; Hussein, Tareq; Petäjä, Tuukka

Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]

The authors regret that important information of ‘Tareq Hussein’ in affiliation (h) was not complete in the original article. The correct affiliation (h) should be ‘Environmental and Atmospheric Research Laboratory (EARL), Department of Physics, School of Science, University of Jordan, Amman 11942, Jordan’, and it is updated as above. The authors would like to apologise for any inconvenience caused.

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Bibliographic Details
Main Authors:	Fung, Pak Lun, Savadkoohi, Marjan, Zaidan, Martha Arbayani, Niemi, Jarkko V., Timonen, Hilkka, Pandolfi, Marco, Alastuey, Andrés, Querol, Xavier, Hussein, Tareq, Petäjä, Tuukka
Format:	artículo biblioteca
Language:	English
Published:	Elsevier 2024-03-09
Subjects:	Black carbon concentrations, Ensure healthy lives and promote well-being for all at all ages,
Online Access:	http://hdl.handle.net/10261/351477 https://api.elsevier.com/content/abstract/scopus_id/85187367047
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spelling	dig-idaea-es-10261-3514772024-05-18T20:37:44Z Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449] Fung, Pak Lun Savadkoohi, Marjan Zaidan, Martha Arbayani Niemi, Jarkko V. Timonen, Hilkka Pandolfi, Marco Alastuey, Andrés Querol, Xavier Hussein, Tareq Petäjä, Tuukka Black carbon concentrations Ensure healthy lives and promote well-being for all at all ages The authors regret that important information of ‘Tareq Hussein’ in affiliation (h) was not complete in the original article. The correct affiliation (h) should be ‘Environmental and Atmospheric Research Laboratory (EARL), Department of Physics, School of Science, University of Jordan, Amman 11942, Jordan’, and it is updated as above. The authors would like to apologise for any inconvenience caused. The authors regret that important information of ‘Tareq Hussein’ in affiliation (h) was not complete in the original article. The correct affiliation (h) should be ‘Environmental and Atmospheric Research Laboratory (EARL), Department of Physics, School of Science, University of Jordan, Amman 11942, Jordan’, and it is updated as above. Peer reviewed 2024-03-22T08:29:18Z 2024-03-22T08:29:18Z 2024-03-09 artículo http://purl.org/coar/resource_type/c_6501 Environment International 108561 (2024) 01604120 http://hdl.handle.net/10261/351477 10.1016/j.envint.2024.108561 38462436 2-s2.0-85187367047 https://api.elsevier.com/content/abstract/scopus_id/85187367047 en Environment international Publisher's version https://doi.org/10.1016/j.envint.2024.108561 Sí open Elsevier
institution	IDAEA ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-idaea-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del IDAEA España
language	English
topic	Black carbon concentrations Ensure healthy lives and promote well-being for all at all ages Black carbon concentrations Ensure healthy lives and promote well-being for all at all ages
spellingShingle	Black carbon concentrations Ensure healthy lives and promote well-being for all at all ages Black carbon concentrations Ensure healthy lives and promote well-being for all at all ages Fung, Pak Lun Savadkoohi, Marjan Zaidan, Martha Arbayani Niemi, Jarkko V. Timonen, Hilkka Pandolfi, Marco Alastuey, Andrés Querol, Xavier Hussein, Tareq Petäjä, Tuukka Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]
description	The authors regret that important information of ‘Tareq Hussein’ in affiliation (h) was not complete in the original article. The correct affiliation (h) should be ‘Environmental and Atmospheric Research Laboratory (EARL), Department of Physics, School of Science, University of Jordan, Amman 11942, Jordan’, and it is updated as above. The authors would like to apologise for any inconvenience caused.
format	artículo
topic_facet	Black carbon concentrations Ensure healthy lives and promote well-being for all at all ages
author	Fung, Pak Lun Savadkoohi, Marjan Zaidan, Martha Arbayani Niemi, Jarkko V. Timonen, Hilkka Pandolfi, Marco Alastuey, Andrés Querol, Xavier Hussein, Tareq Petäjä, Tuukka
author_facet	Fung, Pak Lun Savadkoohi, Marjan Zaidan, Martha Arbayani Niemi, Jarkko V. Timonen, Hilkka Pandolfi, Marco Alastuey, Andrés Querol, Xavier Hussein, Tareq Petäjä, Tuukka
author_sort	Fung, Pak Lun
title	Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]
title_short	Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]
title_full	Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]
title_fullStr	Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]
title_full_unstemmed	Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]
title_sort	corrigendum to "constructing transferable and interpretable machine learning models for black carbon concentrations" [environ. int. 184 (2024) 108449]
publisher	Elsevier
publishDate	2024-03-09
url	http://hdl.handle.net/10261/351477 https://api.elsevier.com/content/abstract/scopus_id/85187367047
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Corrigendum to "Constructing transferable and interpretable machine learning models for black carbon concentrations" [Environ. Int. 184 (2024) 108449]

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