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O SciELO Data é um repositório multidisciplinar para depósito, preservação e disseminação de dados de pesquisa de artigos submetidos e aprovados para publicação, ou já publicados em periódicos da Rede SciELO, ou depositados no SciELO Preprints. Para mais informação consulte scielo.org.

Antes de realizar qualquer depósito, consulte os Termos e condições de uso do repositório SciELO Data.

SciELO Data es un repositorio multidisciplinario para depositar, preservar y difundir datos de investigación de artículos enviados, aprobados para publicación o ya publicados en revistas de la Red SciELO o depositados en SciELO Preprints. Para obtener más información, consulte scielo.org.

Antes de realizar cualquier depósito, consulte el Términos y condiciones de uso de SciELO Data.

SciELO Data is a multidisciplinary repository for deposition, preservation and dissemination of research data from articles submitted and approved for publication, already published in SciELO Network journals or deposited in SciELO Preprints. For more information visit scielo.org.

Before any deposit, consult the SciELO Data Terms and Conditions of Use.

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3,801 to 3,810 of 4,682 Results
Banco_de_dados_selecao_final_Suic_HIV.pdf
Banco_de_dados_selecao_final_Suic_HIV.pdf
Apr 5, 2022 - Data for: 2021-0768 Violência autoprovocada e suicídio em pessoas que vivem com HIV/aids: revisão sistemática
Adobe PDF - 133.7 KB - MD5: e848b3a9433691cbf62b127019f46933
Banco artigos selecionados
README.pdf
README.pdf
Apr 5, 2022 - Data for: 2021-0768 Violência autoprovocada e suicídio em pessoas que vivem com HIV/aids: revisão sistemática
Adobe PDF - 13.4 KB - MD5: c6e5303bec39867d8cf5ff7212cfee2e
README
Banco_nacional_pesquisa_escolas_Enfermagem.pdf
Banco_nacional_pesquisa_escolas_Enfermagem.pdf
Apr 5, 2022 - Data for: 2021-0923: Panorama brasileiro da formação de enfermeiros durante a pandemia da COVID-19
Adobe PDF - 906.3 KB - MD5: 2278b281551db4d405ad4e5705731e04
Banco de dados relativo ao artigo Panorama Brasileiro da formação de enfermeiros durante a pandemia da COVID-19, submetido à Revista Brasileira de Enfermagem
README.pdf
README.pdf
Apr 5, 2022 - Data for: 2021-0923: Panorama brasileiro da formação de enfermeiros durante a pandemia da COVID-19
Adobe PDF - 196.6 KB - MD5: b371295e46a2ffe275895f04300ef15f
Arquivo guia para a interpretação do banco de dados
LAURA.png
LAURA.png
Mar 31, 2022 - Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
PNG Image - 104.7 KB - MD5: 077bc1ac023c6cb2131880bdb9daf450
README.txt
Mar 31, 2022 - Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
Plain Text - 1.2 KB - MD5: 1f96b9c7f2deda8bd848148cd1dfe97b
colormapAASHTO.mat
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
MATLAB Data - 2.7 KB - MD5: 745220016efcc7d682c52c4d8cffd2d6
Color map used for AASHTO 2014 interaction surface
colormapNBR.mat
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
MATLAB Data - 1.8 KB - MD5: 911fb20ac1bec77e4ec5ea44a2009a0c
Color map used for NBR 6118 2014 interaction surface
MVTmax_AASHTO.m
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Plain Text - 2.2 KB - MD5: fc06039e74db610f2a42789e5c61d134
For comparison, experimental data points from the analyzed tests are plotted along with hidden lines starting from the origin. These were normalized using the maximum predicted resistance based on the tested beam’s parameters, which may differ from nominal values. The scaling val...
MVTmax_NBR.m
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Plain Text - 2.1 KB - MD5: f94b11bb92ba581d701c4f8b64fd064e
For comparison, experimental data points from the analyzed tests are plotted along with hidden lines starting from the origin. These were normalized using the maximum predicted resistance based on the tested beam’s parameters, which may differ from nominal values. The scaling val...
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