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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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3,991 to 4,000 of 5,413 Results
Tabela 3_Estratégias de mitigação das consequências da pandemia e das intervenções e de governança para controle e prevenção da covid-19 das prisões nos países, por desenvolvimento econômico, no ano de 2020.docx
Jun 29, 2022 - Data for: Ações governamentais para controle e prevenção da covid-19 em prisões: uma revisão de escopo.
MS Word - 22.6 KB - MD5: 2483fe36eb51c2cb3987260a0b31495c
Este arquivo possui a descrição das ações governamentais encontradas nas publicações subdivididas em categoria 3_mitigação das consequências da pandemia e das intervenções e categoria 4_medidas de governança. Os dados quantitativos referem-se a contabilização do número de países...
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Jun 28, 2022 - urbe. Revista Brasileira de Gestão Urbana
Spolaor, Silvia; Oliveira, Vítor, 2022, "Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept", https://doi.org/10.48331/scielodata.W1LFGM, SciELO Data, V1, UNF:6:tEltYEz0igkAIFk+YZ2nGw== [fileUNF]
Data used for the elaboration of the analysis presented in the article containing shapefiles, urban legislation and ancient cartography for the city of Salvador, Brazil.
116340.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 29.5 KB - MD5: a1f8c605c3a9c12d46452d11de5d1edf
123320.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 211.8 KB - MD5: 5e4807b0e4a1e3caa020e5495e42a4b1
132140.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 231.3 KB - MD5: 0faa416096012dc340ae285fb7278389
143260.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 870.6 KB - MD5: 5d5fae20db4891463256aea1664a6619
143420.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 893.0 KB - MD5: c0c8ebead38f97f04e86926670af2c1c
143440.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 361.8 KB - MD5: 574049d7d5a0879942349cc61d470fcb
144110.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 371.8 KB - MD5: b8d1469ea08d21df014b459c988368a2
149220.DXF
Jun 28, 2022 - Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Unknown - 72.0 KB - MD5: 6bd3dc035ebbcb880bbc362fe11ee86d
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