Hourly data of the article Drivers of artificial light at night variability in urban, rural and remote areas

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1. Verfasser: Massetti, Luciano
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2020
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author Massetti, Luciano
author_facet Massetti, Luciano
contents <p>The data was used in a research study published in 2020.</p> <p>This study analyzes light pollution in urban, rural and remote sites in Tuscany (Italy) by monitoring night <br>sky brightness. Night sky brightness (NSB) data collected from 2016 to 2019 were analyzed to assess an- <br>nual and seasonal variability at each site and between sites. The relationship between night sky bright- <br>ness and moonlight and weather conditions were also analyzed. Trend analysis was also performed to <br>evaluate the degradation of the quality of the measurement with time due to dirty accumulation on the <br>sensor shield. </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17366428
institution Zenodo
language eng
publishDate 2020
publisher Zenodo
record_format zenodo
spellingShingle Hourly data of the article Drivers of artificial light at night variability in urban, rural and remote areas
Massetti, Luciano
Light Pollution
Sensor
Environmental Monitoring
Weather
<p>The data was used in a research study published in 2020.</p> <p>This study analyzes light pollution in urban, rural and remote sites in Tuscany (Italy) by monitoring night <br>sky brightness. Night sky brightness (NSB) data collected from 2016 to 2019 were analyzed to assess an- <br>nual and seasonal variability at each site and between sites. The relationship between night sky bright- <br>ness and moonlight and weather conditions were also analyzed. Trend analysis was also performed to <br>evaluate the degradation of the quality of the measurement with time due to dirty accumulation on the <br>sensor shield. </p>
title Hourly data of the article Drivers of artificial light at night variability in urban, rural and remote areas
topic Light Pollution
Sensor
Environmental Monitoring
Weather
url https://doi.org/10.5281/zenodo.17366428