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1 to 10 of 3,939 Results
Avaliação do processo de curadoria ao DataRepositóriUM
Jul 24, 2026 - Bibliotecas UMinho
Moura, Paula; Vieira, André; Príncipe, Pedro, 2026, "Avaliação do processo de curadoria ao DataRepositóriUM", https://doi.org/10.34622/datarepositorium/1ZYZA6, Repositório de Dados da Universidade do Minho, V1, UNF:6:bRhT6FscXFBrFZcUZN4lnw== [fileUNF]
[PT] Este dataset reúne os instrumentos, dados e documentação associados ao inquérito aos utilizadores do DataRepositóriUM realizado em 2026. O inquérito teve como objetivo compreender a experiência dos utilizadores com os processos de depósito de datasets e curadoria de dados, a...
00_ReadMe_file_en.txt
Plain Text - 3.4 KB - MD5: f90109bcc98fd417f5353085638d1f7e
Documentation
documentação
00_ReadMe_file_pt.txt
Plain Text - 3.6 KB - MD5: 40963c5369cd19801754c5d889bb64b2
Documentation
documentação
01_Questionario_utilizadores_DataRepositoriUM_2026_PT.docx
MS Word - 32.3 KB - MD5: 06a5e98477a2890a0a87f63b40105b4d
Documentation
instrumento
01_Questionnaire_DataRepositoriUM_users_2026_EN.docx
MS Word - 31.1 KB - MD5: 090a45142ec0b38d3cc5b0f74aabe81f
Documentation
instrumento
02_Estatisticas_sintese_2026-05-06.xlsx
MS Excel Spreadsheet - 34.4 KB - MD5: 7e958a37e340e0d4bf46aef4355185db
Data
dados
02_Respostas_dados_em_bruto_2026-05-06.xlsx
MS Excel Spreadsheet - 29.1 KB - MD5: 62676997592b85da59f8b770a0b5f889
Data
dados
03_Dicionario_codigos_inquerito_DataRepositoriUM_2026.tab
Tab-Delimited - 10.2 KB - MD5: cf0c063b87b8184047dfa211d8b707fc
Documentation
dicionário
Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery
Jul 17, 2026 - 2Qua
Lauriuchi, Geissielen A.; Guimarães, Catarina; Pace, Giorgio; Caballero, Gabriel R.; Sòria-Perpinyà, Xavier; Pompêo, Marcelo; Delegido, Jesús; Antunes, C. Sara, 2026, "Water Quality Trends and Remote Sensing Model Development in Portuguese Reservoirs Using Sentinel-2 Imagery", https://doi.org/10.34622/datarepositorium/TFICCJ, Repositório de Dados da Universidade do Minho, V1, UNF:6:IHBREBytzsq/qi+9E4o6+Q== [fileUNF]
This dataset contain data and scripts used in the analyses presented in the manuscript. The files are organised in the same sequence in which they were applied throughout the study, allowing the complete reproduction of the analytical workflow, from the statistical analysis of li...
00_ReadMe_rev.txt
Plain Text - 11.8 KB - MD5: a549b6fb256139ffb4fae62c827ba10e
This file contains info for the spatiotemporal assessment and water quality modeling in two Portuguese reservoirs with contrasting trophic conditions: Alto Rabagão (Rb, oligo-mesotrophic system) and Aguieira (Ag, eutrophic system), covering the period from 2014 to 2024.
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