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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Code for "Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece" by Giannaros C. et al. 2024

Authors: Giannaros, Christos; Agathangelidis, Ilias; Galanaki, Elissavet; Cartalis, Constantinos; Kotroni, Vassiliki; Lagouvardos, Konstantinos; Giannaros, Theodore M.; +1 Authors

Code for "Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece" by Giannaros C. et al. 2024

Abstract

The provided code is related to the human thermal bioclimate dataset presented at: https://doi.org/10.5281/zenodo.10251280. The dataset consists of hourly values of population-weighted mPET (modified physiologically equivalent temperature), simulated by the RayMan Pro model for the period 1991-2020 and for 10 population subsets in 72 regional units and combinations thereof, which are based on the NUTS-3 (Nomenclature of Territorial Units for Statistics-3) classification in Greece, using the Copernicus European Regional Reanalysis (CERRA) at 5.5 km spatial resolution. The code includes: (i) a plain text document providing commands for installing Python, version 3.11, and relevant packages in a Conda environment, (ii) 10 executable scripts in Python, Bash and Visual Basic (VB) programming languages, (iii) two supporting files for building the Conda environment and defining the CERRA coordinate reference system, (iv) the "GEOSTAT" folder, and the (v) the "regional_units" folder, which includes the defined regional units in Greece in GeoPackage format. Before executing the code: (a) the compressed folder that contains the GEOSTAT 2021 grid dataset, version 2.0.1 (GEOSTAT-grid-POP-1K-2011-V2-0-1.zip), should be downloaded from this url: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat, and be unzipped within the "GEOSTAT" folder; (b) the compressed folder that contains the RayMan Pro, version 3.1, model (RayManPro.zip), should be requested from this url: https://www.urbanclimate.net/rayman/introraymanpro.htm, and be stored and unzipped within the main code directory. The code can be used to replicate the dataset not only directly in Greece, but also in any other country included in the CERRA domain after appropriate adjustments. Both the dataset and the code were created in the frames of the HEAT-ALARM ("Development of a heat-health warning system in Greece") research project, which is funded by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the "3d Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers" (Project Number: 06885). Compared to the previous version of the code, this version includes a small update in the description of the “10_launch-rayman-CERRA” VB script. References Giannaros, C., Agathangelidis, I., Galanaki, E. et al. Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece. Sci Data 11, 76 (2024). https://doi.org/10.1038/s41597-024-02923-y 

Keywords

human-biometerology, CERRA, climate reanalysis, human health, environmental epidemiology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average