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3,421 to 3,430 of 3,833 Results

NIR_backsccatering_data_whey_beverages_during_storage_REDU.tab Oct 9, 2023 - NIR backscattering data of sheep and goat whey beverage during storage Tabular Data - 1.6 KB - 11 Variables, 15 Observations - UNF:6:/Nwi4UpfqzGCbQWanPCmUg== 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.
Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin Oct 9, 2023 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...
Microbiology_physicochemical_structural_data_ samples_Goat_and_sheep_cheese_whey_added_with_pectin_REDU.tab Oct 9, 2023 - Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin Tabular Data - 2.6 KB - 18 Variables, 24 Observations - UNF:6:Ag2Vsl/tjNynewPw/tOoLA== Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin
NIR backscattering and particle size of goat and sheep cheese whey samples after thermal treatment and acidification or fermentation Oct 9, 2023 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)
Turbiscan_particle_size_data_samples_Goat_and_sheep_cheese_whey_REDU.tab Oct 9, 2023 - NIR backscattering and particle size of goat and sheep cheese whey samples after thermal treatment and acidification or fermentation Tabular Data - 2.3 KB - 11 Variables, 23 Observations - UNF:6:DN/gB/8lMv+Z7CcyNf512g==
Experimental database of air-water slug flow in a long vertical pipe Oct 4, 2023 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.
Slug_W_A.rar Oct 4, 2023 - Experimental database of air-water slug flow in a long vertical pipe RAR Archive - 704.6 MB - MD5: f433c739362def50a6edfa4c2471c854
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics Sep 26, 2023 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...
adult.tab Sep 26, 2023 - Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics Tabular Data - 5.9 MB - 15 Variables, 48842 Observations - UNF:6:OHfKRD3JlsvMnf3iK3R/CA== Adult Income Dataset
code_used.rar Sep 26, 2023 - Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics RAR Archive - 459.0 KB - MD5: 2d283c56971c459d10911f31488c8b02 Codes used to count lines on case studies 2 and 3

NIR_backsccatering_data_whey_beverages_during_storage_REDU.tab

Oct 9, 2023 - NIR backscattering data of sheep and goat whey beverage during storage

Tabular Data - 1.6 KB - 11 Variables, 15 Observations -

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.

Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin

Oct 9, 2023

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...

Microbiology_physicochemical_structural_data_ samples_Goat_and_sheep_cheese_whey_added_with_pectin_REDU.tab

Oct 9, 2023 - Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin

Tabular Data - 2.6 KB - 18 Variables, 24 Observations -

Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin

NIR backscattering and particle size of goat and sheep cheese whey samples after thermal treatment and acidification or fermentation

Oct 9, 2023

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)

Turbiscan_particle_size_data_samples_Goat_and_sheep_cheese_whey_REDU.tab

Oct 9, 2023 - NIR backscattering and particle size of goat and sheep cheese whey samples after thermal treatment and acidification or fermentation

Tabular Data - 2.3 KB - 11 Variables, 23 Observations -

Experimental database of air-water slug flow in a long vertical pipe

Oct 4, 2023

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.

Slug_W_A.rar

Oct 4, 2023 - Experimental database of air-water slug flow in a long vertical pipe

RAR Archive - 704.6 MB -

Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics

Sep 26, 2023

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...

adult.tab

Sep 26, 2023 - Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics

Tabular Data - 5.9 MB - 15 Variables, 48842 Observations -

Adult Income Dataset

code_used.rar

Sep 26, 2023 - Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics

RAR Archive - 459.0 KB -

Codes used to count lines on case studies 2 and 3

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