If you don't see your institution, add your dataset to the main dataverse named "RepOD".
Select the dataverse to which you want to add the new dataset:
You need to Sign In/Sign Up to add a dataset.
Share this dataset on your favorite social media networks.
Rajagukguk, Yolanda Victoria, 2025, "Fusion of DSC and FTIR data with physicochemical profiling to distinguish berry seed oils by extraction methods", https://doi.org/10.18150/GRCSLT, RepOD, V1
Learn about Data Citation Standards.
Berry seed oils (strawberry, raspberry, blackcurrant) were extracted using three different types of extraction (cold press, solvent/hexane, and supercritical extraction). Physicochemicals characteristics of the resulting oils were investigated, the analyses were mentioned as follow: peroxide value (mili Equivalent O2/kg oil), angle hue (°), chroma (°), DPPH (µmol Trolox equivalent/g oil), total carotenoid (mg/100 g), chlorophyll (mg of pheophytin A/100 g oil), p-anisidine value (unit), acid value (mg KOH/g oil), conjugated dienes or K232 (unit), conjugated trienes or K268 (unit), oxidation induction time at 140 °C and 120 °C (minutes), alpha-beta-gamma-delta-vitamin E tocopherols (mg/100 g), fatty acids (mg/g), and yield (%). Normalised heat flow (W/g) of melting profile from differential scanning calorimetry were investigated at 5 °C/min. Raw FTIR spectra absorbance (unit) of all samples were recorded at room temperature (25 °C) without any sample pre-treatment.
data fusion, oil extraction, berry seed oil, food authenticity, chemometrics
2026-10-31
This dataset is under embargo. Files in this dataset will be available from 2026-10-31.
Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.
According to the current settings, files in this dataset will be available from 2026-10-31.
Are you sure you want to lift the embargo?
Once you lift the embargo, you will not be able to set it again.
Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.
Use a Private URL to allow those without Dataverse accounts to access your dataset. For more information about the Private URL feature, please refer to the User Guide.
Private URL has not been created.
Are you sure you want to disable the Private URL? If you have shared the Private URL with others they will no longer be able to use it to access your dataset.
You will not be able to make changes to this dataset while it is in review.
This dataset cannot be published until Food and Nutrition Technology is published. Would you like to publish both right now?
Once you publish this dataset it must remain published.
Are you sure you want to republish this dataset?
Select if this is a minor or major version update.
This dataset cannot be published until Food and Nutrition Technology is published by its administrator.
This dataset cannot be published until Food and Nutrition Technology and Poznań University of Life Sciences are published.
Are you sure you want to deaccession? The selected version(s) will no longer be viewable by the public.
Contact person for this dataset, having substantive knowledge of the data
Please fill this out to prove you are not a robot.