11 to 20 of 22 Results
Feb 28, 2023
Vasconcelos, Miguel Esteves; Andrade, Morgana; Baptista, Ana Alice, 2023, "BPTools source code", https://doi.org/10.34622/datarepositorium/VDMM2J, Repositório de Dados da Universidade do Minho, V1
BPTools source code - for the automatic analysis of the data catalogues of the European Data Portal in the light of the W3C Data on the Web Best Practices. |
Feb 28, 2023
Vasconcelos, Miguel Esteves; Andrade, Morgana Carneiro de; Baptista, Ana Alice, 2023, "BPTools application - the results.", https://doi.org/10.34622/datarepositorium/MFH5FF, Repositório de Dados da Universidade do Minho, V1, UNF:6:jS24WJtHPLGfed8kYKyQZQ== [fileUNF]
Results of the validation. Results of the application to specific datasets. |
Feb 28, 2023
Santos, Cláudia; Andrade, Morgana; Baptista, Ana Alice, 2023, "OGDLens - code", https://doi.org/10.34622/datarepositorium/3XHUL6, Repositório de Dados da Universidade do Minho, V1
OGDLens code |
Feb 28, 2023
Santos, Cláudia; Andrade, Morgana; Baptista, Ana Alice, 2023, "OGDLens - Validation data", https://doi.org/10.34622/datarepositorium/F88MVD, Repositório de Dados da Universidade do Minho, V1
OGDLens - Validation Data |
Dec 19, 2022
Kawashita, Ilka; Baptista, Ana Alice; Soares, Delfina Sá, 2022, "Use of Open Government Data in the Brazilian States and Federal District Public Administrations", https://doi.org/10.34622/datarepositorium/UY7MFA, Repositório de Dados da Universidade do Minho, V2, UNF:6:zmDwdTT7q++DhZWZaxMfQA== [fileUNF]
Each row of the dataset lists the responses to a questionnaire about the use (consumption) of open government data (OGD) in the Brazilian states and federal district public administrations. The questionnaire was applied between June 10 and July 9, 2021, in a sample of focal point... |
Jun 14, 2022
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... |
Jun 14, 2022
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... |
Apr 5, 2022
Lopes, Inês Catarina; Baptista, Ana Alice, 2022, "Map4Scrutiny: a Linked Open Data approach on politicians interest registers - support files", https://doi.org/10.34622/datarepositorium/KWFSU2, Repositório de Dados da Universidade do Minho, V1, UNF:6:pyVr3YWL9HoJA7uMmb6ktg== [fileUNF]
This dataset includes all the files mentioned in the dissertation: "Map4Scrutiny: a Linked Open Data Prototype for Politicians Interest Registers". These include the code used to scrap and source the original files, the vocabularies created, the data itself, and the shapes of the... |
Mar 30, 2022
Lopes, Inês Catarina; Baptista, Ana Alice, 2022, "Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload", https://doi.org/10.34622/datarepositorium/K1DQIT, Repositório de Dados da Universidade do Minho, V1
The collection of Turtle files in this dataset is prepared to be uploaded to a Triplestore and queried with SPARQL. The main file is Map4Scrutiny_Data_InvalidOut.ttl with information on the members of Portuguese Parliament, their Interest Registers, the organizations mentioned in... |
Nov 30, 2021
Guimarães, João Pedro; Andrade, Morgana; Baptista, Ana Alice, 2021, "Ficheiro resultante do alinhamento de partes de vocabulários - Ciência da Computação", https://doi.org/10.34622/datarepositorium/T49TKX, Repositório de Dados da Universidade do Minho, V1
Ficheiro resultante do alinhamento de partes de vocabulários - Ciência da Computação. |


