131 to 140 of 1,445 Results
Mar 9, 2026
Stork, Eirin, 2026, "Replication Data for: Substituting imported soybean meal with locally produced novel yeast protein in concentrates for Norwegian Red dairy cows: Implications for rumen microbiota and fatty acid composition", https://doi.org/10.18710/8RLXHC, DataverseNO, V1
The data presented here is from a study investigating the effect of substituting soybean meal with a newly developed protein source (based on the yeast Cyberlindnera jadinii) in concentrate feed for dairy cows of Norwegian Red breed (NR) on the milk fatty acid composition. A total of 48 NR dairy cows were randomly allocated into three different fee... |
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MD5: 84a153aa0301f2cd72d02c882df9129b
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Feb 20, 2026
Bjørgan, Beate; Varela Tomasco, Paula; Johansen, Anne-Grethe; Porcellato, Davide; Skeie, Siv, 2026, "Replication Data for: The effect of season, somatic cell count and bulk milk storage time on the sensory and chemical characteristics of an aged hard goat milk cheese", https://doi.org/10.18710/FIDZXG, DataverseNO, V1
This dataset contains chemical, physicochemical, and sensory data generated in a study investigating chemical and sensory changes during ripening of a hard-type goat milk cheese. The dataset includes measurements of free amino acids, organic acids, volatile compounds, basic composition (pH, dry matter, fat, protein), and quantitative descriptive se... |
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MD5: e23e842267aab8caebac65d92b3b7fa8
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MD5: f06f1b55d400d32d03d28d084ff2bcd1
Long-format dataset containing biochemical measurements of hard-type goat cheese during ripening, including free amino acids, organic acids, carbohydrates, pH and total solids. Samples originate from four seasons (A–D), four farms (G1–G4), two milk storage times prior to cheesemaking (Y1 and Y3), and multiple ripening times (0, 3, 6, 12 and 18 mont... |
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MD5: 095fdb4a9d39847524abf117904c7f19
Long-format dataset containing volatile compounds measured by ATD-GC-MS in hard-type goat cheese. Data include sample identifiers, season, farm, milk storage time prior to cheesemaking, and ripening time, together with compound signal values (area). The dataset is based on cleaned GC-MS data used for statistical analysis in the associated publicati... |
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MD5: c0ffae89eae8f0d1d8fdf76e6fc7387f
Long-format dataset containing quantitative descriptive sensory analysis (QDA) data of hard-type goat cheese after 12 months of ripening. The data include sensory attributes related to odour, flavour, taste and texture, evaluated by a trained professional panel (Nofima). All samples originate from cheeses produced in different seasons (A–D) and far... |
Feb 16, 2026
Bakhtina, Marina; Rosef, Line; Sissel Torre; Hanslin, Hans Martin, 2026, "Data for: Shoot and root growth in response to hydrological fluctuations in the drought-tolerant Knautia arvensis and wet-tolerant Lythrum salicaria", https://doi.org/10.18710/UI8XOT, DataverseNO, V1
This dataset represents a greenhouse experiment investigating the effects of fluctuating soil hydrology on plant growth and flowering, including root diameter and root length in raingardens. Plants in raingardens are important for evapotranspiration and maintaining infiltration properties. However, hydrological conditions, including cycles of dry a... |
