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Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)

This data article describes two groups of datasets which capture, firstly - 10-minutes air temperature (T(a)) and relative humidity (RH) data from 27 urban and non-urban sites over a period of 3.5 years covering 2014–2018; and secondly - hourly T(a) data from 12 urban sites over a period of 2 years...

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Autores principales: Savić, Stevan, Šećerov, Ivan, Lalić, Branislava, Nie, Dongyun, Roantree, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369387/
https://www.ncbi.nlm.nih.gov/pubmed/37501730
http://dx.doi.org/10.1016/j.dib.2023.109425
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author Savić, Stevan
Šećerov, Ivan
Lalić, Branislava
Nie, Dongyun
Roantree, Mark
author_facet Savić, Stevan
Šećerov, Ivan
Lalić, Branislava
Nie, Dongyun
Roantree, Mark
author_sort Savić, Stevan
collection PubMed
description This data article describes two groups of datasets which capture, firstly - 10-minutes air temperature (T(a)) and relative humidity (RH) data from 27 urban and non-urban sites over a period of 3.5 years covering 2014–2018; and secondly - hourly T(a) data from 12 urban sites over a period of 2 years covering 2016 and 2017. Both datasets are from urban meteorological network located in the Novi Sad city (Serbia). These datasets have 2 different types of information in the collection: one type provides details about the monitoring sites at which the T(a) and RH sensors are placed, while the second type contains T(a) and RH data at all sensor locations. In all, the 10-minutes dataset contains about 185,000 instances of T(a) and RH data, and the hourly datasets contain 17,544 instances of T(a) data. The 10-minutes datasets were not quality controlled, but the hourly T(a) data has been cleaned and gap-filled so there are 24 measures at each site for each day. There are multiple potential uses, where this data can be applied. It can provide insights in understanding intra-urban and inter-urban research, urban climate modeling on local or micro scales, heat-related public health investigations and urban environment inquiries. It can also be used in machine learning experiments, for example, to test the accuracy of classification algorithms or to build and validate spatio-temporal machine learning functions, either for classification purposes or for gap filling. These datasets are directly citable through its DOIs and available for download from the Zenodo platform or from the Fair Micromet Portal.
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spelling pubmed-103693872023-07-27 Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia) Savić, Stevan Šećerov, Ivan Lalić, Branislava Nie, Dongyun Roantree, Mark Data Brief Data Article This data article describes two groups of datasets which capture, firstly - 10-minutes air temperature (T(a)) and relative humidity (RH) data from 27 urban and non-urban sites over a period of 3.5 years covering 2014–2018; and secondly - hourly T(a) data from 12 urban sites over a period of 2 years covering 2016 and 2017. Both datasets are from urban meteorological network located in the Novi Sad city (Serbia). These datasets have 2 different types of information in the collection: one type provides details about the monitoring sites at which the T(a) and RH sensors are placed, while the second type contains T(a) and RH data at all sensor locations. In all, the 10-minutes dataset contains about 185,000 instances of T(a) and RH data, and the hourly datasets contain 17,544 instances of T(a) data. The 10-minutes datasets were not quality controlled, but the hourly T(a) data has been cleaned and gap-filled so there are 24 measures at each site for each day. There are multiple potential uses, where this data can be applied. It can provide insights in understanding intra-urban and inter-urban research, urban climate modeling on local or micro scales, heat-related public health investigations and urban environment inquiries. It can also be used in machine learning experiments, for example, to test the accuracy of classification algorithms or to build and validate spatio-temporal machine learning functions, either for classification purposes or for gap filling. These datasets are directly citable through its DOIs and available for download from the Zenodo platform or from the Fair Micromet Portal. Elsevier 2023-07-20 /pmc/articles/PMC10369387/ /pubmed/37501730 http://dx.doi.org/10.1016/j.dib.2023.109425 Text en © 2023 The Author(s) 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
Savić, Stevan
Šećerov, Ivan
Lalić, Branislava
Nie, Dongyun
Roantree, Mark
Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)
title Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)
title_full Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)
title_fullStr Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)
title_full_unstemmed Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)
title_short Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)
title_sort air temperature and relative humidity datasets from an urban meteorological network in the city area of novi sad (serbia)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369387/
https://www.ncbi.nlm.nih.gov/pubmed/37501730
http://dx.doi.org/10.1016/j.dib.2023.109425
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