Repositório de Dados da Universidade do Minho

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Type: (dataverses OR datasets) Deposit Date: 2022

1 to 10 of 27 Results

On dominance shift in returnee heritage speakers Jan 23, 2022 - Centro de Estudos Humanísticos Flores, Cristina, 2022, "On dominance shift in returnee heritage speakers", https://doi.org/10.34622/datarepositorium/H7OOLG, Repositório de Dados da Universidade do Minho, V1, UNF:6:ZVL2ws/E6hbCVAkvPeQC6w== [fileUNF] Dataset & statistical analysis of the study Flores, Zhou & Eira.
BLP Questionnaire (Study: More insights into the interaction between age, exposure and attitudes in language attrition and retention from the perspective of bilingual returnees) Mar 23, 2022 - Centro de Estudos Humanísticos Flores, Cristina; Matos, Joana, 2022, "BLP Questionnaire (Study: More insights into the interaction between age, exposure and attitudes in language attrition and retention from the perspective of bilingual returnees)", https://doi.org/10.34622/datarepositorium/J1CLI4, Repositório de Dados da Universidade do Minho, V1 Questionnaire used in the study «More insights into the interaction between age, exposure and attitudes in language attrition and retention from the perspective of bilingual returnees»
Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola" Mar 29, 2022 - Núcleo de Investigação em Políticas Económicas Freitas, Miguel, 2022, "Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"", https://doi.org/10.34622/datarepositorium/MIZ5JE, Repositório de Dados da Universidade do Minho, V1, UNF:6:XwfngSl5aNg/K57Y17qKrQ== [fileUNF] The data sources are described below
Média Sociais do Museu Virtual da Lusofonia May 10, 2022 - Vista, Revista de Cultura Visual Oliveira, Tatiane; Ruão, Teresa, 2022, "Média Sociais do Museu Virtual da Lusofonia", https://doi.org/10.34622/datarepositorium/H0RCIC, Repositório de Dados da Universidade do Minho, V2, UNF:6:LtXBMLVpMxuJVZjZhq4y2Q== [fileUNF] O Museu Virtual da Lusofonia (https://www.museuvirtualdalusofonia.com/) é uma plataforma de cooperação académica, em ciência, ensino e artes, no espaço dos países de língua portuguesa e das suas diásporas. Tem perfis no Instagram e no Facebook desde dezembro de 2021. Desde aí, em...
Data from Interviews - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training May 24, 2022 - Bibliotecas UMinho Príncipe, Pedro; Ross-Hellauer, Tony; Fava, Ilaria, 2022, "Data from Interviews - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training", https://doi.org/10.34622/datarepositorium/CR7PU4, Repositório de Dados da Universidade do Minho, V1, UNF:6:Z4+aVi1Od5O9Y3HTDojl4g== [fileUNF] This dataset holds the files for the interviews performed for D3.3 - Uptake of Open Science and Responsible Research and Innovation in Policy and Training.
Data from survey - D5.2 Uptake of Open Science in information seeking practices in policy-making May 24, 2022 - Bibliotecas UMinho Correia, Antonia; Rodrigues, Eloy, 2022, "Data from survey - D5.2 Uptake of Open Science in information seeking practices in policy-making", https://doi.org/10.34622/datarepositorium/BJ6JEY, Repositório de Dados da Universidade do Minho, V1, UNF:6:OLxgejdm83sGLkg+vWAUJw== [fileUNF] This datasets comprises the questionnaire and answers used for D5.2 Uptake of Open Science in information seeking practices in policy-making
Data from survey - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training May 24, 2022 - Bibliotecas UMinho Correia, Antonia, 2022, "Data from survey - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training", https://doi.org/10.34622/datarepositorium/O2E2LO, Repositório de Dados da Universidade do Minho, V1, UNF:6:h57pdkxjv0VIMGVm3/mjFg== [fileUNF] This dataset comprises data for the D3.3 - Uptake of Open Science and Responsible Research and Innovation survey
MoLa InCar AR: Dataset for Action Recognition Jun 14, 2022 - Centro de Investigação Algoritmi R. P. Rodrigues, Nelson; M. C. da Costa, Nuno; Novais, Rita; Fonseca, Jaime; Cardoso, Paulo; Borges, Joao, 2022, "MoLa InCar AR: Dataset for Action Recognition", https://doi.org/10.34622/datarepositorium/1S8QVP, Repositório de Dados da Universidade do Minho, V2, UNF:6:t/LCTlQafeWpztygw8cACQ== [fileUNF] We introduce a dataset to train human action recognition inside the vehicle focusing on violence detection. The dataset was recorded with RGB, Depth, Thermal and Event-based data. Results: The resulting dataset contains 6 400 video samples and more than 3 million frames, collecte...
MoLa InVicon AR: Dataset for Action Recognition Jun 14, 2022 - Centro de Investigação Algoritmi R. P. Rodrigues, Nelson; M. C. da Costa, Nuno; Novais, Rita; Fonseca, Jaime; University of Minho; Borges, Joao, 2022, "MoLa InVicon AR: Dataset for Action Recognition", https://doi.org/10.34622/datarepositorium/WWUTUT, Repositório de Dados da Universidade do Minho, V2 This system is then spatially and temporally calibrated with the camera sensor, automatically obtaining image data with (multi-person) pose annotations (2D and 3D). Finally, we demonstrate the feasibility of using the system’s generated data (which was made publicly available), t...
Mathematical model for soil bioremediation contaminated by hydrocarbons Sep 13, 2022 - Centro de Engenharia Biológica Martins, Gilberto; Campos, Sara; Ferreira, Ana; Castro, Rita; Duarte, Salomé; Cavaleiro, Ana Júlia, 2022, "Mathematical model for soil bioremediation contaminated by hydrocarbons", https://doi.org/10.34622/datarepositorium/2BUM2J, Repositório de Dados da Universidade do Minho, V1 This is a mathematical model developed to assist in the prediction and decision making regarding the in situ bioremediation of hydrocarbon-contaminated soils. The model considered the most relevant processes involved in mass transfer and biodegradation (aerobic, anoxic and anaero...

On dominance shift in returnee heritage speakers

Jan 23, 2022 - Centro de Estudos Humanísticos

Flores, Cristina, 2022, "On dominance shift in returnee heritage speakers", https://doi.org/10.34622/datarepositorium/H7OOLG, Repositório de Dados da Universidade do Minho, V1, UNF:6:ZVL2ws/E6hbCVAkvPeQC6w== [fileUNF]

Dataset & statistical analysis of the study Flores, Zhou & Eira.

BLP Questionnaire (Study: More insights into the interaction between age, exposure and attitudes in language attrition and retention from the perspective of bilingual returnees)

Mar 23, 2022 - Centro de Estudos Humanísticos

Flores, Cristina; Matos, Joana, 2022, "BLP Questionnaire (Study: More insights into the interaction between age, exposure and attitudes in language attrition and retention from the perspective of bilingual returnees)", https://doi.org/10.34622/datarepositorium/J1CLI4, Repositório de Dados da Universidade do Minho, V1

Questionnaire used in the study «More insights into the interaction between age, exposure and attitudes in language attrition and retention from the perspective of bilingual returnees»

Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"

Mar 29, 2022 - Núcleo de Investigação em Políticas Económicas

Freitas, Miguel, 2022, "Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"", https://doi.org/10.34622/datarepositorium/MIZ5JE, Repositório de Dados da Universidade do Minho, V1, UNF:6:XwfngSl5aNg/K57Y17qKrQ== [fileUNF]

The data sources are described below

Média Sociais do Museu Virtual da Lusofonia

May 10, 2022 - Vista, Revista de Cultura Visual

Oliveira, Tatiane; Ruão, Teresa, 2022, "Média Sociais do Museu Virtual da Lusofonia", https://doi.org/10.34622/datarepositorium/H0RCIC, Repositório de Dados da Universidade do Minho, V2, UNF:6:LtXBMLVpMxuJVZjZhq4y2Q== [fileUNF]

O Museu Virtual da Lusofonia (https://www.museuvirtualdalusofonia.com/) é uma plataforma de cooperação académica, em ciência, ensino e artes, no espaço dos países de língua portuguesa e das suas diásporas. Tem perfis no Instagram e no Facebook desde dezembro de 2021. Desde aí, em...

Data from Interviews - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training

May 24, 2022 - Bibliotecas UMinho

Príncipe, Pedro; Ross-Hellauer, Tony; Fava, Ilaria, 2022, "Data from Interviews - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training", https://doi.org/10.34622/datarepositorium/CR7PU4, Repositório de Dados da Universidade do Minho, V1, UNF:6:Z4+aVi1Od5O9Y3HTDojl4g== [fileUNF]

This dataset holds the files for the interviews performed for D3.3 - Uptake of Open Science and Responsible Research and Innovation in Policy and Training.

Data from survey - D5.2 Uptake of Open Science in information seeking practices in policy-making

May 24, 2022 - Bibliotecas UMinho

Correia, Antonia; Rodrigues, Eloy, 2022, "Data from survey - D5.2 Uptake of Open Science in information seeking practices in policy-making", https://doi.org/10.34622/datarepositorium/BJ6JEY, Repositório de Dados da Universidade do Minho, V1, UNF:6:OLxgejdm83sGLkg+vWAUJw== [fileUNF]

This datasets comprises the questionnaire and answers used for D5.2 Uptake of Open Science in information seeking practices in policy-making

Data from survey - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training

May 24, 2022 - Bibliotecas UMinho

Correia, Antonia, 2022, "Data from survey - D3.3 Uptake of Open Science and Responsible Research and Innovation in Policy and Training", https://doi.org/10.34622/datarepositorium/O2E2LO, Repositório de Dados da Universidade do Minho, V1, UNF:6:h57pdkxjv0VIMGVm3/mjFg== [fileUNF]

This dataset comprises data for the D3.3 - Uptake of Open Science and Responsible Research and Innovation survey

MoLa InCar AR: Dataset for Action Recognition

Jun 14, 2022 - Centro de Investigação Algoritmi

R. P. Rodrigues, Nelson; M. C. da Costa, Nuno; Novais, Rita; Fonseca, Jaime; Cardoso, Paulo; Borges, Joao, 2022, "MoLa InCar AR: Dataset for Action Recognition", https://doi.org/10.34622/datarepositorium/1S8QVP, Repositório de Dados da Universidade do Minho, V2, UNF:6:t/LCTlQafeWpztygw8cACQ== [fileUNF]

We introduce a dataset to train human action recognition inside the vehicle focusing on violence detection. The dataset was recorded with RGB, Depth, Thermal and Event-based data. Results: The resulting dataset contains 6 400 video samples and more than 3 million frames, collecte...

MoLa InVicon AR: Dataset for Action Recognition

Jun 14, 2022 - Centro de Investigação Algoritmi

R. P. Rodrigues, Nelson; M. C. da Costa, Nuno; Novais, Rita; Fonseca, Jaime; University of Minho; Borges, Joao, 2022, "MoLa InVicon AR: Dataset for Action Recognition", https://doi.org/10.34622/datarepositorium/WWUTUT, Repositório de Dados da Universidade do Minho, V2

This system is then spatially and temporally calibrated with the camera sensor, automatically obtaining image data with (multi-person) pose annotations (2D and 3D). Finally, we demonstrate the feasibility of using the system’s generated data (which was made publicly available), t...

Mathematical model for soil bioremediation contaminated by hydrocarbons

Sep 13, 2022 - Centro de Engenharia Biológica

Martins, Gilberto; Campos, Sara; Ferreira, Ana; Castro, Rita; Duarte, Salomé; Cavaleiro, Ana Júlia, 2022, "Mathematical model for soil bioremediation contaminated by hydrocarbons", https://doi.org/10.34622/datarepositorium/2BUM2J, Repositório de Dados da Universidade do Minho, V1

This is a mathematical model developed to assist in the prediction and decision making regarding the in situ bioremediation of hydrocarbon-contaminated soils. The model considered the most relevant processes involved in mass transfer and biodegradation (aerobic, anoxic and anaero...

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