Protein, fat and carbohydrate content of long-life oat, almond, soy and cow's milk comparing using physical and chemical separation and analysis techniques.
Protein, fat and carbohydrate content data of long-life plant-based milks (soy, almond and oat) using cow's milk as a control. The dataset includes photographs of milks, instrument files (raw files), excel workbooks and CSV files generated from dynamic light scattering (DLS), electrophoretic light scattering (ELS), analytical size exclusion with refractive index detection and ultraviolet light detection (SEC-RID/UV), high performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD), gas chromatography with mass spectrometry detection (GC-MS), Fourier Transform Infrared spectroscopy (FTIR). The date was collected at Macquarie university and in Macquarie University Centre for Analytical Biotechnology (MUCAB) facilities between august 2022 to May 2025.
Funding
ARC Training Centre for Facilitated Advancement of Australia's Bioactives (FAAB)
Australian Research Council
Find out more...History
Q/A Log
- Institutional review completed
- FAIR assessment completed
FAIR Self Assessment Summary
This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool Findable -------- Does the dataset have any identifiers assigned? Global Is the dataset identifier included in all metadata records/files describing the data? No How is the data described with metadata? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible ---------- How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? Standard web service API (e.g. OGC) Will the metadata record be available even if the data is no longer available? Yes Interoperable ------------- What (file) format(s) is the data available in? In a structured, open standard, machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? Standardised vocabularies/ontologies/schema without global identifiers How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? There are no links to other metadata Reusable -------- Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a machine-readable formatFAIR Self Assessment Rating
- 4 Stars
Data Sensitivity
- General
Usage metrics
