981 to 990 of 1,630 Results
MS Excel Spreadsheet - 20.0 KB -
MD5: 6efe427eb622be2f8d32614af00e9745
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Jul 8, 2024 - urbe. Revista Brasileira de Gestão Urbana
Angelcos, Nicolás; Abufhele, Valentina; Theodore, Rachel; Méndez-Layera, María Luisa, 2024, "Data for: Estrategias educativas en sectores populares de Santiago: elección escolar, segregación residencial y Ley de Inclusión", https://doi.org/10.48331/scielodata.1WUQZ5, SciELO Data, V1
Se adjunta carta que indica las regulaciones éticas a las cuales están sujetos los datos recolectados para éste artículo. |
Plain Text - 1.7 KB -
MD5: 27ea612140d10e6196e1755ecddb7faa
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Adobe PDF - 97.8 KB -
MD5: 0669cc92de34d861e7e1669edba52241
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Jul 5, 2024 - SciELO Preprints
Pantaleo, Patricio Iván, 2024, "Replication data for: LatArXiv. Creation of an open preprint and research data repository for the Latin American community", https://doi.org/10.48331/scielodata.YSM5HM, SciELO Data, V1
LatArXiv (https://preprints.latarxiv.org/) is an initiative to create a preprint and open research data repository specifically for the Latin American community. It seeks to emulate the best practices of existing repositories, focusing on the Latin American context, although it i... |
Jul 5, 2024 -
Replication data for: LatArXiv. Creation of an open preprint and research data repository for the Latin American community
Adobe PDF - 8.8 MB -
MD5: 4dc8b93b3cf00bb525ea22462a9a824b
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Jul 2, 2024 - Acta Limnologica Brasiliensia
Callisto, Marcos; Solar, Ricardo; Linares, Marden Seabra, 2024, "Data for: Benthic macroinvertebrate abundance at the studied marginal lakes at the Pandeiros River basin, Minas Gerais, southeastern Brazil", https://doi.org/10.48331/scielodata.QDUL1G, SciELO Data, V1, UNF:6:98QJak3xD3+ui4tIGudrRQ== [fileUNF]
Table containing the abiotic parameters in the three macrophyte habitats (rooted with emerged leaves (HB1), rooted with floating leaves (HB2), and rooted with submerged leaves (HB3) in each river-floodplain lake in the Pandeiros River, Minas Gerais state, Brazil. |
Adobe PDF - 138.3 KB -
MD5: 6003e2d7e6fca7629c9cf28386448dfc
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Tabular Data - 2.0 KB - 1 Variables, 49 Observations - UNF:6:98QJak3xD3+ui4tIGudrRQ==
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Plain Text - 1.8 KB -
MD5: a3471ef06be949d14b470c358060f7e0
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