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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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331 to 340 of 5,449 Results
README.pdf
Oct 15, 2024 - Data for: REBEn 2023-0415: Impacto da satisfação e motivação no estresse da enfermagem do bloco operatório
Adobe PDF - 1.6 MB - MD5: 71a4a5914d015805991b8d41ca964901
Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Oct 14, 2024 - urbe. Revista Brasileira de Gestão Urbana
Souza-Mc Murtrie, Ada Abrantes Penna, 2024, "Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method", https://doi.org/10.48331/scielodata.VKXSCV, SciELO Data, V1, UNF:6:Tnx40TGz95IcUJZpXS891g== [fileUNF]
This study introduces the Zero Consumption Real Estate Vacancy Identification Method (ZCREVIM) and applies it using georeferenced electricity usage data from Belo Horizonte, Brazil, provided by the Companhia Energética de Minas Gerais (CEMIG). The method identifies potentially va...
10_VILLAGES_FAVELAS.tab
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Tabular Data - 791.6 KB - 9 Variables, 209 Observations - UNF:6:JuqviwfnYfnVqP8ZMSsViw==
11_TYPOLOGY_USE_OCCUPATION_PLOTS.tab
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Tabular Data - 181.3 MB - 6 Variables, 358209 Observations - UNF:6:FietmluUxk6Ts7Q568ckew==
12_REGISTER_PROTECTED_HERITAGE PROPERTIES_BELO_HORIZONTE.pdf
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Adobe PDF - 99.2 KB - MD5: fc7fda52029b69a2bd54b6b84e17e9ef
1_DOMICILIO01_MG.csv
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Comma Separated Values - 18.2 MB - MD5: f116fcd4fd1b68df91137208cedf1c12
2_DOMICILIO02_MG.csv
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Comma Separated Values - 11.9 MB - MD5: 3bb6215ba7d750b3fd0a7dc4ec0af74e
3_SINOPSE_MG.xls
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
MS Excel Spreadsheet - 78.3 MB - MD5: 51cfaa765ab05ce11be9bd6b1d5a5a03
4_BASICO_MG.csv
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Comma Separated Values - 10.9 MB - MD5: 83c2648e2410bfc7d7f8f2716d1d3a92
5_MUNICIPAL_BOUNDARY.tab
Oct 14, 2024 - Data for: Invisible Voids: The Zero Consumption Real Estate Vacancy Identification Method
Tabular Data - 872.3 KB - 5 Variables, 1 Observations - UNF:6:t3NWmbFzfqJ9x/lNG+GqTQ==
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