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Tabular Data - 231.7 KB - 42 Variables, 1354 Observations - UNF:6:UShYtRlYmw1U8+1js32pSg==
Soil attributes from georeferenced samples collected in 3 years |
Sep 2, 2022
Cruz, Jhasmani Tito; Coluci, Vitor Rafael; Moraes, Regina Lúcia de Oliveira, 2022, "ORUN-VR: a VR serious game on the projectile kinematics: design, evaluation, and learning outcomes", https://doi.org/10.25824/redu/NQZRAW, Repositório de Dados de Pesquisa da Unicamp, V1
Raw data used in the work "ORUN-VR: a VR serious game on the projectile kinematics: Design, Evaluation, and Learning outcomes" from Jhasmani T. Cruz, Vitor R. Coluci, and Regina Moraes, School of Technology - Unicamp |
Sep 2, 2022 -
ORUN-VR: a VR serious game on the projectile kinematics: design, evaluation, and learning outcomes
MS Excel Spreadsheet - 28.2 KB -
MD5: af057f184bd4de7883f0a21beeb798d5
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Sep 2, 2022 -
ORUN-VR: a VR serious game on the projectile kinematics: design, evaluation, and learning outcomes
Plain Text - 939 B -
MD5: b98f4d50a1c6c16e6d82adc9f7018be4
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Aug 19, 2022
Cocovilo Filho, Luis Fernando Panicachi; Coelho, Guilherme Palermo, 2022, "Replication data for: evaluation of concept drift detection approaches for stock market forecasting", https://doi.org/10.25824/redu/WB2R60, Repositório de Dados de Pesquisa da Unicamp, V1
This package contains the datasets, source codes (in Python), and complete tables with the results reported in the work entitled Evaluation of Concept Drift Detection Approaches for Stock Market Forecasting. File "database.zip" contains, for each stock, (i) the original dataset,... |
