Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria

This dataset focuses on the causes and effects of sick building syndrome among users of selected facilities in Lagos. A mixed research approach of field measurement and cross-sectional survey was adopted. Descriptive statistics were implemented on the data acquired and are reported on tables and fig...

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Detalles Bibliográficos
Autores principales: Nduka, David Obinna, Ogunbayo, Babatunde, Ajao, Adekunle, Ogundipe, Kunle, Babalola, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Environmental Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146451/
https://www.ncbi.nlm.nih.gov/pubmed/30246114
http://dx.doi.org/10.1016/j.dib.2018.08.182
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author Nduka, David Obinna
Ogunbayo, Babatunde
Ajao, Adekunle
Ogundipe, Kunle
Babalola, Benjamin
author_facet Nduka, David Obinna
Ogunbayo, Babatunde
Ajao, Adekunle
Ogundipe, Kunle
Babalola, Benjamin
author_sort Nduka, David Obinna
collection PubMed
description This dataset focuses on the causes and effects of sick building syndrome among users of selected facilities in Lagos. A mixed research approach of field measurement and cross-sectional survey was adopted. Descriptive statistics were implemented on the data acquired and are reported on tables and figures. The significance of this data leverages on providing insight and consciousness of sick building syndrome to users and occupants of constructed facilities. The survey dataset when analyzed can show direction on physical quantities levels that can be experienced in public buildings in tropical region.
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spelling pubmed-61464512018-09-21 Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria Nduka, David Obinna Ogunbayo, Babatunde Ajao, Adekunle Ogundipe, Kunle Babalola, Benjamin Data Brief Environmental Science This dataset focuses on the causes and effects of sick building syndrome among users of selected facilities in Lagos. A mixed research approach of field measurement and cross-sectional survey was adopted. Descriptive statistics were implemented on the data acquired and are reported on tables and figures. The significance of this data leverages on providing insight and consciousness of sick building syndrome to users and occupants of constructed facilities. The survey dataset when analyzed can show direction on physical quantities levels that can be experienced in public buildings in tropical region. Elsevier 2018-09-05 /pmc/articles/PMC6146451/ /pubmed/30246114 http://dx.doi.org/10.1016/j.dib.2018.08.182 Text en © 2018 The Authors http://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 Environmental Science
Nduka, David Obinna
Ogunbayo, Babatunde
Ajao, Adekunle
Ogundipe, Kunle
Babalola, Benjamin
Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria
title Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria
title_full Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria
title_fullStr Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria
title_full_unstemmed Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria
title_short Survey datasets on sick building syndrome: Causes and effects on selected public buildings in Lagos, Nigeria
title_sort survey datasets on sick building syndrome: causes and effects on selected public buildings in lagos, nigeria
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146451/
https://www.ncbi.nlm.nih.gov/pubmed/30246114
http://dx.doi.org/10.1016/j.dib.2018.08.182
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