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O Repositório Polen é disponibilizado pela Fundação para a Ciência e a Tecnologia, I.P., através da Unidade FCCN, com o objetivo de promover a abertura e a partilha de dados resultantes de investigação financiada, servindo a comunidade científica nacional.

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51 to 60 of 102 Results
Dec 7, 2023 - Magnesium
Plain Text - 855 B - MD5: 81c940d14b9b352f898a6be19935b340
Dec 7, 2023 - Magnesium
Plain Text - 4.3 KB - MD5: fe55d5e07d3ee31837f33b7cf59e668c
Dec 7, 2023 - Magnesium
Plain Text - 2.2 KB - MD5: ca793bf4ee378894b674882b4c8d2ad9
Dec 7, 2023 - Magnesium
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Dec 7, 2023 - Magnesium
Adobe PDF - 197.8 KB - MD5: 2fe0c1460565088b0879a71729f7ec4e
Readme file fot the files on this dataset.
Jun 19, 2023 - Arquivo Português de Informação Social
Rego, Raquel, 2023, "Projeto REP - Representatividade dos Parceiros Sociais e Impacto da Governança Económica", https://doi.org/10.57979/SIFFWZ, Repositório Polen, V1, UNF:6:HkmO9VzkkFw6gYtNCTgACg== [fileUNF]
Um dos objetivos do projeto REP - https://rep.ics.ulisboa.pt/ - era descrever em extensão a representatividade de sindicatos e associações de empregadores portugueses a partir de um conceito multifacetado de representação, que previsse uma dimensão descritiva (por exemplo discrim...
Tabular Data - 179.9 KB - 134 Variables, 248 Observations - UNF:6:HkmO9VzkkFw6gYtNCTgACg==
Base de dados
Adobe PDF - 275.0 KB - MD5: de02284c21741c37708b6533ca29b4cf
Questionário
Jun 16, 2023 - Data Science and Over-Indebtedness: Use of Artificial Intelligence Algorithms in Credit Consumption and Indebtedness Conciliation in Portugal
Leonardo Vanneschi; Diego Costa Pinto, 2023, "Consumers financial health", https://doi.org/10.57979/P0Y3RS, Repositório Polen, V3, UNF:6:MIqR/5By7Zi5KKYVPgtyuQ== [fileUNF]
The dataset comprises a broad range of variables to understand the full picture of consumers’ financial health: family socio-demographics, total income, total expenses, employment information, as well as all credit details. The features considered for the analyses were: socio-dem...
Tabular Data - 1.1 KB - 5 Variables, 18 Observations - UNF:6:hsMykl6N+P5lGXWulG0k7w==
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