Dataset for the paper "Varying effect of urban green infrastructure on the temperature of a subtropical metropolitan region"
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| Autores principales: | , , , , , |
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| Formato: | Recurso digital |
| Publicado: |
Zenodo
2025
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| Acceso en línea: | |
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| _version_ | 1866901726269800448 |
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| author | de Oliveira Gonçalves Antenor, Ananda Torquato Oliva, Gustavo Cleofé Valverde, Maria Vieira Vasconcelos, Vitor Ferreira da Silva Filho, Demóstenes Reverberi Tambosi, Leandro |
| author_facet | de Oliveira Gonçalves Antenor, Ananda Torquato Oliva, Gustavo Cleofé Valverde, Maria Vieira Vasconcelos, Vitor Ferreira da Silva Filho, Demóstenes Reverberi Tambosi, Leandro |
| contents | <p><span lang="EN">This dataset consists of 20 csv files that comprise the data used to produce the analyses for the article “Varying effect of urban green infrastructure on the temperature of a subtropical metropolitan region”.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The files: dataset_1km.csv and dataset_500m.csv would be the data for the entire time period and for radii of 1 kilometer and 500 meters, respectively.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The other eighteen files would be the derived data. The files: temp_mean_pacf10_*.csv would be the data generated for the average temperature with an interval of every ten days of data as a result of the Partial Autocorrelation Function analysis.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The files: temp_range_pacf3_*.csv would be the data generated for the temperature range with an interval of every three days of data as a result of the Partial Autocorrelation Function analysis.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The files: temp_var_pacf3_*.csv would be the data prepared for the temperature variance with the interval of every three days of data as a result of the Partial Autocorrelation Function analysis.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">Label for the radius 1 kilometer: tree.1km = tree; green.area.1km = green area; building.1km = building; tr.p1.1km = PROX 1 tree; greena.p1.1km = PROX 1 green area; build.p1.1km = PROX 1 building; build.p2.1km = PROX 2 building; build.p3.1km = PROX 3 building; sd.1km = Standard deviation EVI; mean.1km = Mean EVI; x = Longitude; y = Latitude; mean.5km = Mean EVI in the radius of 5 km; alt.mean.1km = Mean altitude; asp.mean.1km = Mean aspect.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">Label for the radius 500 meters: tree.500m = tree; green.area.500m = green area; building.500m = building; tr.p1.500m = PROX 1 tree; greena.p1.500m = PROX 1 green area; build.p1.500m = PROX 1 building; build.p2.500m = PROX 2 building; build.p3.500m = PROX 3 building; sd.500m = Standard deviation EVI; mean.500m = Mean EVI; x = Longitude; y = Latitude; mean.5km = Mean EVI in the radius of 5 km; alt.mean.500m = Mean altitude; asp.mean.500m = Mean aspect.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15584529 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset for the paper "Varying effect of urban green infrastructure on the temperature of a subtropical metropolitan region" de Oliveira Gonçalves Antenor, Ananda Torquato Oliva, Gustavo Cleofé Valverde, Maria Vieira Vasconcelos, Vitor Ferreira da Silva Filho, Demóstenes Reverberi Tambosi, Leandro <p><span lang="EN">This dataset consists of 20 csv files that comprise the data used to produce the analyses for the article “Varying effect of urban green infrastructure on the temperature of a subtropical metropolitan region”.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The files: dataset_1km.csv and dataset_500m.csv would be the data for the entire time period and for radii of 1 kilometer and 500 meters, respectively.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The other eighteen files would be the derived data. The files: temp_mean_pacf10_*.csv would be the data generated for the average temperature with an interval of every ten days of data as a result of the Partial Autocorrelation Function analysis.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The files: temp_range_pacf3_*.csv would be the data generated for the temperature range with an interval of every three days of data as a result of the Partial Autocorrelation Function analysis.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">The files: temp_var_pacf3_*.csv would be the data prepared for the temperature variance with the interval of every three days of data as a result of the Partial Autocorrelation Function analysis.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">Label for the radius 1 kilometer: tree.1km = tree; green.area.1km = green area; building.1km = building; tr.p1.1km = PROX 1 tree; greena.p1.1km = PROX 1 green area; build.p1.1km = PROX 1 building; build.p2.1km = PROX 2 building; build.p3.1km = PROX 3 building; sd.1km = Standard deviation EVI; mean.1km = Mean EVI; x = Longitude; y = Latitude; mean.5km = Mean EVI in the radius of 5 km; alt.mean.1km = Mean altitude; asp.mean.1km = Mean aspect.</span></p> <p><span lang="EN"> </span></p> <p><span lang="EN">Label for the radius 500 meters: tree.500m = tree; green.area.500m = green area; building.500m = building; tr.p1.500m = PROX 1 tree; greena.p1.500m = PROX 1 green area; build.p1.500m = PROX 1 building; build.p2.500m = PROX 2 building; build.p3.500m = PROX 3 building; sd.500m = Standard deviation EVI; mean.500m = Mean EVI; x = Longitude; y = Latitude; mean.5km = Mean EVI in the radius of 5 km; alt.mean.500m = Mean altitude; asp.mean.500m = Mean aspect.</span></p> |
| title | Dataset for the paper "Varying effect of urban green infrastructure on the temperature of a subtropical metropolitan region" |
| url | https://doi.org/10.5281/zenodo.15584529 |