1 to 10 of 12 Results
Oct 23, 2025 - Área Geral
Machado Sobral, Pedro Filipe, 2025, "Earthquake data and cluster analysis along the Mid-Atlantic Ridge (2000-2024)", https://doi.org/10.57979/N6MD1G, POLEN DataHub, V1, UNF:6:SsPwiMrBF63njyk4LGVV6Q== [fileUNF]
Teste 6.4 |
Oct 10, 2025 - Área Geral
Machado Sobral, Pedro Filipe, 2025, "Towards a European network of FAIR-enabling Trustworthy Digital Repositories (TDRs)", https://doi.org/10.57979/XLEJZU, POLEN DataHub, V1
Teste |
Oct 8, 2025 - Área Geral
Machado Sobral, Pedro Filipe, 2025, "Tendência baciais em aspectos quânticos derivativos", https://doi.org/10.57979/RI8YJL, POLEN DataHub, V1
Teste |
Sep 30, 2025 - ACC
Talissa Harb-Anger; Sara Melo-Dias; Cátia Laranjeira; Pedro Leitão Lopes; João Mendes Moreira, 2025, "Portuguese Organizations in ROR", https://doi.org/10.57979/8AFSNH, POLEN DataHub, V4, UNF:6:CpnbolYpADvBZFV/48653A== [fileUNF]
The files in this dataset contain detailed information on the presence of Portuguese organizations in the Research Organization Registry (ROR), based on matching with ISNI (International Standard Name Identifier) records. Each file includes the following columns: ISNI – Unique identifier assigned to the organization by the ISNI system. Organization... |
Aug 6, 2025 - Área Geral
Machado Sobral, Pedro Filipe, 2025, "Replication Data for: 082025", https://doi.org/10.57979/T3QFUU, POLEN DataHub, V1
Teste 06082025 |
Jul 28, 2025 - Repositório Projeto Brainplayback
Alexandre Sayal; Teresa Sousa; César F. Lima; Miguel Castelo-Branco; Inês Bernardino; Bruno Direito, 2025, "Neural correlates of emotional responses to self-selected music: Evidence from multivariate pattern analysis", https://doi.org/10.57979/P4SAYV, POLEN DataHub, V1
Music is a uniquely powerful stimulus for evoking complex and deeply felt emotions. While previous research has identified neural correlates of music-evoked emotional responses, less is known about how these felt emotions are represented in the brain, particularly when elicited by familiar, personally meaningful music. Here, we used a personalized... |
Feb 27, 2024 - Repositório Projeto Brainplayback
Direito Pereira Leitão, Bruno Miguel, 2024, "Characterization of the music-induced emotional response using fMRI", https://doi.org/10.57979/OM4UWT, POLEN DataHub, V1, UNF:6:TmrKjx55aG3IlJZwKaO7xQ== [fileUNF]
This data aims to understand better how this high-dimensional feature space impacts the neural correlates of music listening and close the loop between musical features structure, human behavior, and neural correlates. |
Dec 7, 2023 - Ultra-high-accuracy X-ray spectroscopy of transition metal oxides and rare earths
Guerra, Mauro; Machado, Jorge; Pinheiro, Daniel; Baptista, Gonçalo; Godinho, César; Fernandes, André; Amaro, Pedro; Sampaio, Jorge Miguel; Marques, José Pires; Parente, Fernando; Santos, José Paulo, 2023, "Magnesium", https://doi.org/10.57979/L2ERID, POLEN DataHub, V1
Magnesium |
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, POLEN DataHub, 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 discriminando quem são os dirigentes) e uma dimensão substantiva (contempland... |
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, POLEN DataHub, 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-demographic characterization (marital status, level of education complete... |

