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3,641 to 3,650 of 3,688 Results

destructive_cycle03.tab Dec 9, 2021 - Tomato growth in production-like setting Tabular Data - 1.4 KB - 16 Variables, 36 Observations - UNF:6:mkqFXLIn+2bwEbGsQj2elA== Datadestructive_samplesgrowth Data (mass, sampling dates, heights, node number) from destructive analyses corresponding to the third growth cycle. Original format is .xlsx and data is separated in different tabs.
PAR Dec 9, 2021 - Tomato growth in production-like setting Unknown - 834.7 KB - MD5: 41e063ba55f0e5ae79aab1ad9df28f7b Dataenvironmentpar Photosynthetically active radiation obtained by quantum sensors Licor LI-190SA with a datalogger Licor LI-1400, using range from 400 to 700 nm. \| Rename file extension from .zipfile to .zip to unzip the .txt files.
Substrate moisture Dec 9, 2021 - Tomato growth in production-like setting Unknown - 1.2 MB - MD5: 3707c411e126dbe5354449d8ba9e0b16 Datasubstrate Substrate moisture measured in mV with EC-05 sensors \| Rename file extension from .zipfile to .zip to unzip the .csv files.
Temperature, Relative Humidity, Luminosity - Pi Dec 9, 2021 - Tomato growth in production-like setting Unknown - 2.4 MB - MD5: ab83900cfec387d5ae12f73cab1ac5e6 Dataenvironmentparrel_humiditytemperature 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.
Temperature, Relative Humidity - Transdutors Dec 9, 2021 - Tomato growth in production-like setting Unknown - 18.8 MB - MD5: b72e0aea5b8813e75d9e9cec44740e09 Dataenvironmentrel_humiditytemperature 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...
Weight Dec 9, 2021 - Tomato growth in production-like setting Unknown - 12.8 MB - MD5: 08149cbb82764e953d817b191506a754 Datagrowthnon-destructive 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.
Database.tab Sep 3, 2021 - Particulate matter (TSP and PM10) data samples collected during Brazilian truckers’ strike (2018) in the cities of Limeira (SP) and Campinas (SP) Tabular Data - 67.4 KB - 8 Variables, 1464 Observations - UNF:6:ocjo+YbQCwDsjB0KDRWawQ== PM data.
Samples of particulate matter and meteorological variables collected during different seasons (2018-2019) in five Brazilian cities 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...
raw_data.tab Sep 3, 2021 - Samples of particulate matter and meteorological variables collected during different seasons (2018-2019) in five Brazilian cities Tabular Data - 58.8 KB - 22 Variables, 1085 Observations - UNF:6:30g00N+V0bXHKijdT1VeNA==
Financial news about brazilian companies listed on B3 and source-codes to perform sentiment analysis 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...

destructive_cycle03.tab

Dec 9, 2021 - Tomato growth in production-like setting

Tabular Data - 1.4 KB - 16 Variables, 36 Observations -

Datadestructive_samplesgrowth

Data (mass, sampling dates, heights, node number) from destructive analyses corresponding to the third growth cycle. Original format is .xlsx and data is separated in different tabs.

PAR

Dec 9, 2021 - Tomato growth in production-like setting

Unknown - 834.7 KB -

Dataenvironmentpar

Photosynthetically active radiation obtained by quantum sensors Licor LI-190SA with a datalogger Licor LI-1400, using range from 400 to 700 nm. | Rename file extension from .zipfile to .zip to unzip the .txt files.

Substrate moisture

Dec 9, 2021 - Tomato growth in production-like setting

Unknown - 1.2 MB -

Datasubstrate

Substrate moisture measured in mV with EC-05 sensors | Rename file extension from .zipfile to .zip to unzip the .csv files.

Temperature, Relative Humidity, Luminosity - Pi

Dec 9, 2021 - Tomato growth in production-like setting

Unknown - 2.4 MB -

Dataenvironmentparrel_humiditytemperature

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.

Temperature, Relative Humidity - Transdutors

Dec 9, 2021 - Tomato growth in production-like setting

Unknown - 18.8 MB -

Dataenvironmentrel_humiditytemperature

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...

Weight

Dec 9, 2021 - Tomato growth in production-like setting

Unknown - 12.8 MB -

Datagrowthnon-destructive

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.

Database.tab

Sep 3, 2021 - Particulate matter (TSP and PM10) data samples collected during Brazilian truckers’ strike (2018) in the cities of Limeira (SP) and Campinas (SP)

Tabular Data - 67.4 KB - 8 Variables, 1464 Observations -

PM data.

Samples of particulate matter and meteorological variables collected during different seasons (2018-2019) in five Brazilian cities

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...

raw_data.tab

Sep 3, 2021 - Samples of particulate matter and meteorological variables collected during different seasons (2018-2019) in five Brazilian cities

Tabular Data - 58.8 KB - 22 Variables, 1085 Observations -

Financial news about brazilian companies listed on B3 and source-codes to perform sentiment analysis

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...

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