Data · dataset · 2026
Griffin et al., 2026. Voluntary engagement predicts recovery across rehabilitation time points after experimental spinal cord injury
Listed in Teesside University Research Data Repository
Description
This dataset supports the systematic review and multilevel meta-analysis reported in “Voluntary engagement predicts recovery across rehabilitation time points after experimental spinal cord injury.” The dataset contains study characteristics, experimental demographics, rehabilitation parameters, behavioural outcomes, effect-size calculations, and citations for 150 preclinical studies of rehabilitation following spinal cord injury in adult rodent models.
Collectively, the included studies comprise more than 3,000 animals and 292 effect sizes. Variables include species and strain, injury level and model, injury severity, rehabilitation modality and subclassification, voluntary or forced participation, task specificity, weight support, rehabilitation onset, daily exposure, total intervention duration, behavioural outcome measure, group sample sizes, means and measures of variability, and calculated standardized mean differences.
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The repository also includes the analysis files used for the multilevel random-effects meta-analyses and meta-regressions examining rehabilitation type, total duration, initiation phase, daily exposure, delivery mode, and estimated stress burden. These files are provided to support transparency, reproducibility, secondary analysis, and future evidence synthesis in preclinical spinal cord injury rehabilitation research.
Links
Where it is published
- DOI doi.org/10.17632/srd7cvv6yc.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/srd7cvv6yc.1 | 18 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |