Predicting Respone: 3d printed biopolymer block dataset
<p>Dataset consisting of 87 edge shrinkage recording of 87 3d printed biopolymer components printed with inhouse receipe 10.5281/zenodo.5557218</p> <p> </p> <p>This dataset is reported in the paper</p> <p>Rossi G., Chiujdea R., Hochegger L., LHarchi A., Harding J., Nicholas P., Tamke M., Ramsgaard Thomsen M. (forthcomming 2022) Statistically modelling the curing of cellulose-based 3d printed components: Methods for material dataset composition, augmentation and encoding. In Design Modelling Symposium Berlin: Towards Radical Regeneration. 26-28 September 2022. University of the Arts Berlin, Germany</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0