3,721 to 3,730 of 3,765 Results
Dec 9, 2021 -
Tomato growth in production-like setting
Unknown - 2.4 MB -
MD5: ab83900cfec387d5ae12f73cab1ac5e6
Air temperature and relative humidity obtained with DHT22 sensors and luminosity obtained with BH1750 sensors. All sensors were connected to a Raspberry Pi model B computers. | Rename file extension from .zipfile to .zip to unzip the .csv files. |
Dec 9, 2021 -
Tomato growth in production-like setting
Unknown - 18.8 MB -
MD5: b72e0aea5b8813e75d9e9cec44740e09
Air temperature and relative humidity obtained with SHT75 transducers protected by porous capsules. Transducers were placed in tubes of polyvinylchloride, with downstream fans, coated with aluminum foil. The sensors were installed in a hardware platform for wireless sensor networ... |
Dec 9, 2021 -
Tomato growth in production-like setting
Unknown - 12.8 MB -
MD5: 08149cbb82764e953d817b191506a754
Continuous weight monitoring obtained using force transducers HBM S2M with nominal force of 10 N (0.02 % accuracy) and stored in a data logger PMX WGX002, measure card PX455. Measurements in N. | Rename file extension from .zipfile to .zip to unzip the .csv files. |
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==
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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... |
Aug 31, 2021 -
Financial news about brazilian companies listed on B3 and source-codes to perform sentiment analysis
ZIP Archive - 1.2 MB -
MD5: 76691a091b9c1123538be37e107fb139
Dataset with 828 news. |
Aug 31, 2021 -
Financial news about brazilian companies listed on B3 and source-codes to perform sentiment analysis
ZIP Archive - 3.3 MB -
MD5: b4c3900dc76d34d24fa506afddd227e4
Source codes to perform sentiment analysis. |
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 |
