1,181 to 1,190 of 1,576 Results
May 6, 2024 - Brazilian Journal of Geology
Warren, Lucas Verissimo, 2024, "Supplementary Material – Cerro Negro Formation U-Pb zircon data", https://doi.org/10.48331/scielodata.BG98GC, SciELO Data, V1, UNF:6:7EKMrqiobh2ZRWKD5Mc5iw== [fileUNF]
Supplementary Material – Cerro Negro Formation U-Pb zircon data |
MS Excel Spreadsheet - 31.6 KB -
MD5: b597a7f70950af106ef0aa97eabd7163
Supp. Data - zircon ages |
Adobe PDF - 223.5 KB -
MD5: 1a8beb576f7963612b74cc8ff8b7abb5
Supp. Material - U-Pb zircon data |
May 4, 2024 - SciELO Preprints
Bandeira, Victoria; Mourão, Luciana; Ferreira, Danielle, 2024, "Dados de replicação para: ADAPTAÇÃO AO ENSINO REMOTO E DESENVOLVIMENTO PROFISSIONAL DE UNIVERSITÁRIOS NA PANDEMIA", https://doi.org/10.48331/scielodata.QHHQTM, SciELO Data, V1
Durante a pandemia da Covid-19, a transição dos estudantes universitários para o Ensino Superior presencial para o Ensino Remoto Emergencial exigiu uma significativa adaptação acadêmica. O objetivo deste estudo foi explorar a relação entre a adaptação dos universitários ao Ensino... |
May 4, 2024 -
Dados de replicação para: ADAPTAÇÃO AO ENSINO REMOTO E DESENVOLVIMENTO PROFISSIONAL DE UNIVERSITÁRIOS NA PANDEMIA
Plain Text - 90.1 KB -
MD5: 0e0c0dd7d560f8979fd9da48d1cfde80
|
May 3, 2024 - urbe. Revista Brasileira de Gestão Urbana
Goncalves, Gustavo Maciel; Maffini, Ana Luisa; Maraschin, Clarice, 2024, "Data for: Uncovering Income and Racial Spatial Inequalities and Segregation Patterns with a Potential Accessibility Network Index", https://doi.org/10.48331/scielodata.WLFPSY, SciELO Data, V1, UNF:6:mc1feyOkWhhxE7LSbmLBIg== [fileUNF]
This study proposes and applies a network-based method for assessing the inequalities in access to opportunities for income and racial groups, and assess patterns of socio-spatial segregation based on urban accessibility levels. Please have a look at the paper for more details on... |
Tabular Data - 2.3 MB - 1 Variables, 10686 Observations - UNF:6:mc1feyOkWhhxE7LSbmLBIg==
|
Python Source Code - 21.5 KB -
MD5: f71c9d05dca07f56f14728c0e0d2a5b5
|
HTML - 3.6 KB -
MD5: 00a2fe80e1083cb8a602d8cdcd689620
|
Shapefile as ZIP Archive - 1.8 MB -
MD5: c809dcf2446361a4df9542c06af170ee
|