161 to 170 of 3,597 Results
ZIP Archive - 9.8 MB -
MD5: b73882bb7a794f6c363fcfe80e172c3f
This file contains a single CSV file with all raw sentences extracted from the PDFs, as well as a subfolder with the annotated sentences, already divided into standard training, validation, and testing sets to facilitate reproducible research. |
ZIP Archive - 90.7 MB -
MD5: 74c1d19cadfa1bbe8882479436c926aa
This file includes the original PDF files of the transcripts and a series of Jupyter notebooks (Python) that document the step-by-step methodology of the study: 1) text extraction and sentence pre-processing; 2) weak supervision for annotation; 3) generation of train, validation,... |
Feb 19, 2026
Skubs, Danielle; Cuperschmid, Ana Regina Mizrahy, 2026, "Realidade aumentada no ensino de arquitetura e urbanismo: princípios, soluções pedagógicas, método e diretrizes", https://doi.org/10.25824/redu/PAHQ99, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:M0prQr9NP9DjznlEHNrrrg== [fileUNF]
Tabulação dos dados quantitativos e qualitativos da pesquisa relativos aos questionários aplicados aos alunos e entrevistas semiestruturadas aplicadas aos docentes. Cálculos das estatísticas apresentadas na tese. |
Feb 19, 2026 -
Realidade aumentada no ensino de arquitetura e urbanismo: princípios, soluções pedagógicas, método e diretrizes
Tabular Data - 9.0 KB - 65 Variables, 78 Observations - UNF:6:M0prQr9NP9DjznlEHNrrrg==
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Feb 19, 2026
Sakamoto, Hugo Mitsuo; Kulay, Luiz Alexandre; Yamakami, Akebo, 2026, "Dataset from thesis "A multi-objective optimization model of brazilian coffee production and consumption under a sustainable supply chain approach"", https://doi.org/10.25824/redu/RAWSZ6, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset refers to the data used in the thesis entitled "A multi-objective optimization model of Brazilian coffee production and consumption under a Sustainable Supply Chain approach". |
ZIP Archive - 3.1 MB -
MD5: 9f91d883bed559ac4e87c9847dfd9c6d
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Feb 13, 2026
Ribeiro, Gabriel de Souza; Bittencourt, Luiz Fernando, 2026, "Replication data for: AirCEP: an application for monitoring air quality with complex event processing", https://doi.org/10.25824/redu/ZA6OWL, Repositório de Dados de Pesquisa da Unicamp, V1
Description This dataset is associated with the master's dissertation entitled “AirCEP – An Application for Monitoring Air Quality with Complex Event Processing”, developed at the Institute of Computing, University of Campinas (UNICAMP), Brazil, in 2025. Study Overview The study... |
Feb 13, 2026 -
Replication data for: AirCEP: an application for monitoring air quality with complex event processing
ZIP Archive - 86.2 MB -
MD5: ed2a66b102bfd364556d15d92e09fdaa
Database used in tests. |
Feb 13, 2026 -
Replication data for: AirCEP: an application for monitoring air quality with complex event processing
Plain Text - 2.1 KB -
MD5: 276260f5d21fa2488581589c1f59a7b1
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Feb 13, 2026 -
Replication data for: AirCEP: an application for monitoring air quality with complex event processing
ZIP Archive - 4.8 MB -
MD5: cfe2bd288027a15e8893a8b9d0810347
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