1,521 to 1,530 of 1,731 Results
Oct 9, 2023 - Tecnológica
Tribst, Alline Artigiani Lima, 2023, "NIR backscattering data of sheep and goat whey beverage during storage", https://doi.org/10.25824/redu/7JQ5Z9, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:/Nwi4UpfqzGCbQWanPCmUg== [fileUNF]
These data refer to the NIR backscatter measurement of beverages produced with goat and sheep whey. From these data it is possible to determine the destabilization of whey beverages during storage. |
Oct 9, 2023 - Tecnológica
Tribst, Alline Artigiani Lima; Martins Filho, Cesar Melo, 2023, "Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin", https://doi.org/10.25824/redu/8ZOSGR, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:Ag2Vsl/tjNynewPw/tOoLA== [fileUNF]
These data refers to characterization of sheep and goat cheese whey added with sugar and pectin and subjected to direct acidification (pH 4.5 and 3.5) or fermentation (with or without protease). Results includes lactic acid bacteria count, pH, acidity, particle size distribution... |
Oct 9, 2023 - Tecnológica
Tribst, Alline Artigiani Lima; Martins Filho, Cesar Melo, 2023, "NIR backscattering and particle size of goat and sheep cheese whey samples after thermal treatment and acidification or fermentation", https://doi.org/10.25824/redu/9HCUK5, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:DN/gB/8lMv+Z7CcyNf512g== [fileUNF]
These data refer to characterization of sheep and goat cheese whey pasteurized at different binomials and acidified (pH 5.5-2.5) or fermented (with or without Alcalase). Results includes particle size distribution and NIR-backscattering measured during storage at 4ºC (28 days) |
Oct 9, 2023 - Exatas
Duarte, Emanuel Felipe; Méndez Mendoza, Yusseli Lizeth; Baranauskas, Maria Cecilia Calani, 2023, "Data from the workshop: light, sound, movement: action!", https://doi.org/10.25824/redu/WNHYNT, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset contains data created for and collected during the workshop named “Light, Sound, Movement: Ação!”, including documents, source code, photos, videos, and evaluation responses. The workshop took place on February 17, 2023, at the Exploratory Science Museum of the Unive... |
Oct 9, 2023 - Exatas
Duarte, Emanuel Felipe; Méndez Mendoza, Yusseli Lizeth; Queiroz, Maria Jêsca Nobre de; Baranauskas, Maria Cecilia Calani, 2023, "Data from a systematic literature review on embodiment in interactive installations", https://doi.org/10.25824/redu/8KEWZK, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset contains data created for and collected during the systematic literature review “Embodiment in Interactive Installations”, including documents and figures. This systematic literature review was part of the Socioenactive Systems FAPESP Thematic Project #2015/16528-0.... |
Oct 4, 2023 - Tecnológica
Toledo, Gabriela Pereira; Mazza, Ricardo Augusto, 2023, "Experimental database of air-water slug flow in a long vertical pipe", https://doi.org/10.25824/redu/XJ05CB, Repositório de Dados de Pesquisa da Unicamp, V1
Experimental data for air-water slug flow in a long vertical pipe. It contains data for bubble and liquid slug lengths, bubble and liquid slug velocities, frequency, pressure and pressure gradient, and volumetric void fraction. Both raw and processed data are available. |
Sep 26, 2023 - Tecnológica
Nazatto, Thales Eduardo; Rubira, Cecília Mary Fischer, 2023, "Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics", https://doi.org/10.25824/redu/QO3CGG, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:AKrwwHRJZHgVPGKAxY7QvQ== [fileUNF]
This research proposes a presents a semi-autonomous framework to train machine learning models that identifies more optimized configurations across different contexts. Several case studies were conducted to determine the feasibility and extensibility of the proposed framework. Th... |
Sep 21, 2023 - Biomédicas
Dini, Ariane Polidoro; Sanfelice, Clara Fróes de Oliveira; Laporte, Vanessa Damasceno, 2023, "Replication data for "validação de instrumento para classificação de pacientes para embasar cuidados de enfermagem obstétrica"", https://doi.org/10.25824/redu/LZIFAD, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:yEt1LDLW8Fl/u+UWL+2eCg== [fileUNF]
The Patient Classification System is a method used by nursing to characterize hospitalization units. The use of patient classification instruments allows estimating, quantifying and evaluating the demand for nursing care by groups of patients, categorizing them according to the n... |
Sep 19, 2023 - Tecnológica
Borges, Ederson; Coelho, Guilherme Palermo, 2023, "Replication data for: artificial immune networks applied to alternative clustering - a proposal based on information theory", https://doi.org/10.25824/redu/ZODD9K, Repositório de Dados de Pesquisa da Unicamp, V1
This package contains the datasets and source codes used in the PhD thesis entitled "Artificial immune networks applied to alternative clustering: A proposal based on information theory". The following files are included: File Datasets-real.zip: preprocessed real datasets (ALOI,... |
Sep 18, 2023 - Exatas
Duarte, Emanuel Felipe; Méndez Mendoza, Yusseli Lizeth; Baranauskas, Maria Cecília Calani, 2023, "Data from the workshop: an experience with deep time", https://doi.org/10.25824/redu/C73RRT, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset contains data created for and collected during the workshop named “An Experience with Deep Time”, including documents, source code, photos, videos, and evaluation responses. The workshop took place on January 12, 2019, at the Exploratory Science Museum of the Univers... |
