Data · dataset · 2024
Dataset of design factors and corresponding properties for cellulose lightweight materials production
Listed in Borealis
This dataset focuses on the design factors and corresponding properties for the production of cellulose lightweight materials (LMs).
Description
These materials, such as foams and aerogels, have distinctive mechanical and thermal properties, making them suitable for cushioning and insulative packaging. The dataset was developed to understand the various "design factors" and their sub-parameters that influence the properties of cellulose LMs, which are vital for packaging applications.
Comprising 208 entries of air-dried LMs and 335 entries of freeze-dried LMs, it includes parameters such as the type and concentration of raw materials, method of porosity creation (freeze drying or air drying), drying conditions (temperature, time, surfactants, additives), and measured properties of the materials (apparent density, Young's modulus, yield stress, thermal conductivity). Data was extracted from peer-reviewed publications and patents, standardized for consistency, and processed with specific rules for material classification, concentration, and measurement units.
Read the rest (1 more)
The dataset can be used for machine learning to predict LM properties based on design factors, with a sample Python code provided for demonstration. Limitations include the underrepresentation of non-English publications and potential uncertainties in data estimated from images.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FJBFXQQ ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/jbfxqq ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Chemistry · Engineering
- From keywords
- Chemistry · Engineering · Life Sciences
- Inferred from text
- Image 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/JBFXQQ | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:chemistry | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:engineering | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |