941 to 950 of 1,229 Results
Mar 26, 2025 -
Project-Based Learning: Eco-Design Fashion Challenge
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. |
Mar 26, 2025 -
Project-Based Learning: 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) |
Mar 26, 2025 -
Project-Based Learning: Eco-Design Fashion Challenge
Adobe PDF - 1.7 MB - MD5: 9ae9529550335de9e82a8f834c82b43c
Questionário aplicado aos estudantes participantes do E-DFC | Questionnaire administered to the students participating in E-DFC |
Mar 26, 2025 -
Project-Based Learning: Eco-Design Fashion Challenge
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 3, 2025 - Food Innovation & Technology Research Group
Vardanega, Renata; Lüdtke, Fernanda L.; Loureiro, Luís; Hijo, Ariel A.C. Toledo; Martins, Joana T.; Pinheiro, Ana C.; Vicente, António A., 2025, "Enhancing cannabidiol bioaccessibility using ionic liquid as emulsifier to produce nanosystems: Characterization of structures, cytotoxicity assessment, and in vitro digestion", https://doi.org/10.34622/datarepositorium/JCCPLY, Repositório de Dados da Universidade do Minho, V1, UNF:6:SFM21C0JadmSVNnJN+Klsw== [fileUNF]
This dataset contains the experimental data that support the results published in the article: Vardanega, R. et al. (2024) Enhancing cannabidiol bioaccessibility using ionic liquid as emulsifier to produce nanosystems: Characterization of structures, cytotoxicity assessment, and... |
Plain Text - 4.4 KB - MD5: fd3f9c6e00bb3c07d7fdbc9677df6018
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Tab-Delimited - 4.5 KB - MD5: 8637e1e25b9410d88eda502682a61e15
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Tab-Delimited - 254.9 KB - MD5: 6d1301a9ff01c6d9101944392ae36555
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Tab-Delimited - 283.3 KB - MD5: d7fb902e4863935d983785f8866edfd9
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Adobe PDF - 387.9 KB - MD5: d36ff9295f8d2de938b7cd08022438bd
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