A 2026 dataset by Neil Cameron on figshare details the development and evaluation of granular, porous polymer scaffolds for bone defect repair. The dataset includes material characterization data such as void diameters (18.2-24.3 µm), porosity exceeding 80%, and skeletal density of 1.4 g/cm³, alongside biological evaluation results from MG63 osteosarcoma cell culture in a bioreactor. The 8.5 MB dataset is available in XLSX, XLS, and PDF formats under a CC-BY-4.0 license.
Use Cases
- Analyze the relationship between scaffold channel architecture and void diameter based on SEM imaging data mentioned in the description
- Model scaffold porosity and interconnect size for tissue infiltration based on mercury intrusion porosimetry results
- Evaluate cell proliferation and viability on novel biomaterials using data from resazurin assays and live/dead staining
- Compare the performance of channeled versus non-channeled granular scaffolds for moldable implant applications
Strengths
- Includes specific quantitative material properties: average void diameters of 18.2 ± 1.1 µm and 24.3 ± 1.4 µm, and porosity >80%
- Provides biological validation data from cell culture experiments using a Vertical Wheel Bioreactor
- Dataset is openly licensed (CC-BY-4.0) and includes multiple file formats (XLSX, XLS, PDF) for accessibility
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment for large-scale statistical analysis
- The dataset's 8.5 MB size indicates a relatively small scale, potentially limiting the breadth of experimental results
Provenance
- Source
- figshare, author Neil Cameron
- Collection Method
- Experimental data from scaffold fabrication, material characterization, and cell culture studies.
- Time Range
- 2026
- Freshness
- Last updated 2026-04-22 01:46:40
- Geography
- null