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O Repositório de Dados de Investigação POLEN DataHub é disponibilizado pela FCCN, serviços digitais FCT – Fundação para a Ciência e a Tecnologia, com o objetivo de promover a abertura e a partilha de dados resultantes de investigação financiada, servindo a comunidade científica nacional.

Esta plataforma está alinhada com a prática da Ciência Aberta e com os princípios FAIR para a gestão de dados de investigação, estando integrada nos serviços abrangidos pelo Programa Nacional de Ciência Aberta e Dados Abertos de Investigação (PNCADAI), financiado pela medida RE-C05-i08 – Ciência Mais Digital, no âmbito do Programa de Recuperação e Resiliência (PRR).

O POLEN DataHub está dividido em duas áreas: a área de Coleções Institucionais (dedicada às entidades aderentes) e a Área Geral (dedicada aos beneficiários FCT sem solução primária: repositório de dados institucional, temático ou Coleção Institucional no POLEN DataHub).

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Apr 29, 2026Universidade do Algarve Centro Interdisciplinar de Arqueologia e Evolução do Comportamento Humano
The following data is the result of portable X-ray fluorescence (pXRF), scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDS), and X-ray diffraction (XRD) analyses to geological chert samples from southern Portugal, central Portugal and southern Spain, and archaeological chert samples from the Upper Palaeolithic s...
Apr 23, 2026 - 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, V2, UNF:6:aZ1L/d/6W5mnaDZfQLxPbQ== [fileUNF]
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...
Apr 10, 2026 - Turismo Acessível e Inclusivo
Rosa, Maria Manuela Pires, 2026, "Digital Travel Planning during the first Covid-19 Pandemic Crisis", https://doi.org/10.57979/TSWVNU, POLEN DataHub, V1
The survey was developed under the Accessible and Inclusive Project, supported by the Foundation for Science and Technology, through the Program Summer with Science 2020, organic number 128020100.
Turismo Acessível e Inclusivo(Universidade do Algarve)
Apr 10, 2026Universidade do Algarve Centro de Investigação em Turismo Sustentabilidade e Bem-Estar
O Projeto Verão com Ciência decorreu entre 2020.08 a 2020.11 e teve um financiamento da FCT e contou com 13 bolseiros.
Universidade do Algarve Centro de Investigação em Turismo Sustentabilidade e Bem-Estar logo
Apr 10, 2026Universidade do Algarve
The mission of CinTurs is to generate and share knowledge in Tourism and Hospitality, aiming to promote the sustainable development of tourist destinations and to enhance the well-being of tourists, host communities, and those working in the tourism sector. CinTurs is funded by the Portuguese Foundation for Science and Technology (FCT) and received...
Apr 8, 2026 - “BIOPOLIS- Promoting a Center of Excellence in Environmental Biology, Ecosystems and AgroBiodiversity”
Muñoz Mérida, Antonio, 2026, "Survey on FAIRWAY: a pathway to good practices and optimised RDM processes", https://doi.org/10.57979/IBPUSV, POLEN DataHub, V1
Results of the satisfaction survey carried out after the FAIRWAY advanced course held on 3 and 4 December 2025
The bacterial and fungal microbiome of Portuguese dairy farms(Universidade do Porto Centro de Investigação em Biodiversidade e Recursos Genéticos)
Apr 8, 2026Associação BIOPOLIS - Rede de Investigação em Biodiversidade e Biologia Evolutiva
Apr 1, 2026 - Universidade da Beira Interior Faculdade de Engenharia
Bernardo Louro, 2026, "Analysis of the Capability and Training of Chat Bots in the Generation of Rules for Firewall or Intrusion Detection Systems", https://doi.org/10.57979/SNUPIK, POLEN DataHub, V1
This dataset allows for the replication the study found in the paper "Analysis of the Capability and Training of Chat Bots in the Generation of Rules for Firewall or Intrusion Detection Systems".
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