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3,551 to 3,560 of 3,592 Results
Tabular Data - 67.4 KB - 8 Variables, 1464 Observations - UNF:6:ocjo+YbQCwDsjB0KDRWawQ==
PM data.
Sep 3, 2021
Pozza, Simone Andréa; Gonçalves, Priscila Boleta; Osório, Daniela Montanari Migliavacca; Romualdo, Lincoln Lucílio; Godoi, Joeci Ricardo; Hoinaski, Leonardo, 2021, "Samples of particulate matter and meteorological variables collected during different seasons (2018-2019) in five Brazilian cities", https://doi.org/10.25824/redu/NQLXQM, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:30g00N+V0bXHKijdT1VeNA== [fileUNF]
This dataset contains data samples of particulate matter concentration collected during four seasons between 2018 and 2019, in five Brazilian cities: three located in the South of the country (Camboriú, Florianópolis and Novo Hamburgo), one in the Southeast (Limeira), and one in...
Tabular Data - 58.8 KB - 22 Variables, 1085 Observations - UNF:6:30g00N+V0bXHKijdT1VeNA==
Aug 31, 2021
Januário, Brenda Alexsandra; Carosia, Arthur Emanuel de Oliveira; Silva, Ana Estela Antunes da; Coelho, Guilherme Palermo, 2021, "Financial news about brazilian companies listed on B3 and source-codes to perform sentiment analysis", https://doi.org/10.25824/redu/REJCTD, Repositório de Dados de Pesquisa da Unicamp, V1
This package contains a dataset of financial news (written in Portuguese) and the source codes (in Python) to perform sentiment analysis on these news, according to two approaches: (i) based on three lexicons (also in Portuguese), being two of then proposed by the authors and spe...
ZIP Archive - 1.2 MB - MD5: 76691a091b9c1123538be37e107fb139
Dataset with 828 news.
ZIP Archive - 3.3 MB - MD5: b4c3900dc76d34d24fa506afddd227e4
Source codes to perform sentiment analysis.
Jun 29, 2021
Vianna, Sávio Souza Venâncio; Quaresma, Tássia Lins da Silva, 2021, "Numerical modelling of turbulent reacting flows", https://doi.org/10.25824/redu/BRL36B, Repositório de Dados de Pesquisa da Unicamp, V1
This data comprise the numerical findings and simulation setup for turbulent reacting flows concerning explosion simulation using S.T.O.K.E.S
Unknown - 124 B - MD5: 08f8b99a8df5feb9f5d8c7bd8ed41fca
Unknown - 110 B - MD5: cfea0824b8bfa8b05d826c6dbac001b2
PNG Image - 74.7 KB - MD5: f2947675f98049c928cafc63b26d6453
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