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1,051 to 1,060 of 1,069 Results
MedicalRecord4.csv
Comma Separated Values - 12.2 KB - MD5: e0c33e9984a3ded68e0b9223c831b809
# README for MedicalRecord4 Dataset **Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - MedicalRecord4 **Author:** Ferreira, Marco **Date Created:** 2024 **Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Services - MedicalR...
OutPatientDepartment.csv
Comma Separated Values - 17.6 KB - MD5: 46d0ca9e018abd7c41fca365cd4805b8
# README for OutPatientDepartment Dataset **Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - OutPatientDepartment **Author:** Ferreira, Marco **Date Created:** 2024 **Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Servi...
Triage.csv
Comma Separated Values - 12.2 KB - MD5: 345cbcf21676e6e74b6c212a7c3b7cdc
# README for Triage Dataset **Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - Triage **Author:** Ferreira, Marco **Date Created:** 2024 **Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Services - Triage [Data set]....
GENTEEL - Graphic novEls agaiNsT gEndEr vioLence(University of Minho)
GENTEEL - Graphic novEls agaiNsT gEndEr vioLence logo
Jan 15, 2025​​​Centro de Estudos de Comunicação e Sociedade
GENTEEL é um projeto financiado pela FCT (ID: 2023.14621.PEX) que tem como objetivo testar a adoção de novelas gráficas como textos a serem recomendados ou utilizados para estimular a consciencialização da discriminação e violência baseadas no género, nas escolas secundárias do N...
Bionanosystems(Universidade do Minho)
Jan 7, 2025Translating Life: Bioresources and Bioinspired Systems towards Bio-Sustainability
Data repository of the Research Laboratory Bionanosystems.
00_ReadMe.docx
MS Word - 15.7 KB - MD5: b781cfbe9b632012395475e2014d10c8
REDC_dataset.tab
Delimitações tabulares - 1.8 KB - MD5: 293ca1b26f6a9dd361165ca68b2855f8
00_ReadMe.docx
MS Word - 15.7 KB - MD5: 0321823490872c69f3e3158f36c30890
JIJPSM_dataset.tab
Delimitações tabulares - 3.0 KB - MD5: 7fe1b9592ec0dc39633151108466ceb2
00_ReadMe.docx
MS Word - 14.1 KB - MD5: 0d16fb75dacea102a2ef7516bcca7d60
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