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31 to 40 of 2,275 Results
Mar 26, 2025 - Centro de Ciência e Tecnologia Têxtil
Moreira, Sofia; Marques, António Dinis, 2025, "Project-Based Learning: Eco-Design Fashion Challenge", https://doi.org/10.34622/datarepositorium/K8WEOU, Repositório de Dados da Universidade do Minho, V1, UNF:6:mkTMQaeBU+opfDxLqahwJg== [fileUNF]
Data from the PhD investigation in Fashion Design "Education for Circular Economy: Contributions to the development of innovative teaching-learning strategies and methodologies"
Texto simples - 5.3 KB - MD5: 77e60c6e026b651c4ebe88746529d24a
Adobe PDF - 754.3 KB - MD5: 3597896a7a61dbab504b0df57a72c67a
Documento com as regras, critérios de participação, objetivos e prazos do Eco-Design Fashion Challenge | Document that outlines the rules, participation criteria, objectives, and deadlines of the Eco-Design Fashion Challenge.
Adobe PDF - 270.2 KB - MD5: 32d07ac43ccbc3921b41957ea6e6c136
Visão geral da estrutura do projeto E-DFC, (adat. de Larmer et al., 2017) | Overview of the E-DFC project structure (adap. from Larmer et al., 2017)
Adobe PDF - 1.7 MB - MD5: 9ae9529550335de9e82a8f834c82b43c
Questionário aplicado aos estudantes participantes do E-DFC | Questionnaire administered to the students participating in E-DFC
Delimitações tabulares - 33.1 KB - MD5: 20e5b0877a5aa11280e29d0d17cc4ab6
Conjunto de dados em bruto resultantes das respostas ao inquérito | Raw data containing the responses collected from the questionnaire
Mar 25, 2025 - Consumer-grade devices
Gomes, Pedro, 2024, "Supplemental material for "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"", https://doi.org/10.34622/datarepositorium/B92TXJ, Repositório de Dados da Universidade do Minho, V2
Geo-referenced images of the data used to build the figures in the text of "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"; R code used to manipulate and analyze the data behind the figures.
R Syntax - 1.0 KB - MD5: 1c0a381a8c22ef490216a5f113747cd3
R script to build a Bland-Altman analysis and plots comparing consumer-grade sonar data with COSMO data
R Syntax - 1.2 KB - MD5: 63182dbb333bab49b423381c30360a18
R script to build a Bland-Altman analysis and plots comparing EMODNET data with consumer-grade sonar data
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