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Downloads and views - Time Series

Number of downloads and views in the period.

Period:
Total Year Month Day

Item Handle
(eg. 1822/417)
 

Item
Title : Estudo da função Gama e mapa auto-organizável como metodologia para validação e imputação de precipitação diária em séries temporais de estações meteorológicas.
Entry Date : 09-04-2024
Downloads and viewsExport
Year Downloads Views
2024 92.0 318
2025 117.0 186
209.0 504
Downloads and views per year
Downloads by country (top 10)
Views by country (top 10)
Downloads by countryExport
Origin Downloads Perc.(%)
United States United States 148.0 70.81
Brazil Brazil 23.0 11.00
Russian Federation Russian Federation 11.0 5.26
Germany Germany 6.0 2.87
United Kingdom United Kingdom 4.0 1.91
China China 4.0 1.91
Romania Romania 2.0 0.96
Australia Australia 2.0 0.96
Czech Republic Czech Republic 2.0 0.96
N/A N/A 2.0 0.96
Uruguay Uruguay 1.0 0.48
Italy Italy 1.0 0.48
Japan Japan 1.0 0.48
Angola Angola 1.0 0.48
Belgium Belgium 1.0 0.48
209.0 100.00
Views by countryExport
Origin Views Perc.(%)
United States United States 281 55.53
United Kingdom United Kingdom 62 12.25
Germany Germany 52 10.28
Brazil Brazil 26 5.14
Moldova, Republic of Moldova, Republic of 18 3.56
Russian Federation Russian Federation 18 3.56
China China 12 2.37
N/A N/A 10 1.98
Cote D'Ivoire Cote D'Ivoire 6 1.19
India India 3 0.59
Iran, Islamic Republic of Iran, Islamic Republic of 3 0.59
Bulgaria Bulgaria 2 0.40
Japan Japan 2 0.40
Australia Australia 2 0.40
Angola Angola 1 0.20
Uruguay Uruguay 1 0.20
Romania Romania 1 0.20
Vietnam Vietnam 1 0.20
Turkey Turkey 1 0.20
Mongolia Mongolia 1 0.20
France France 1 0.20
Ukraine Ukraine 1 0.20
Venezuela Venezuela 1 0.20
506 100.00
Indexed by
Portal Brasileiro de Publicações e Dados Científicos em Acesso Aberto        BR1– FAO AGRIS data provider 2025
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Brazilian Agricultural Research Corporation - Embrapa SAC: https://www.embrapa.br/fale-conosco

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