Welcome to DataSTORRE: Stirling Online Repository for Research Data
DataStorre is an online digital repository of multi-disciplinary research datasets produced at the University of Stirling.
University of Stirling researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided.
If you have any questions, comments or concerns relating to depositing your Research Data in DataSTORRE, please contact the Repository Librarian (repository.librarian@stir.ac.uk).
Recent Submissions
Contrasting effects of mixed farming on bats are mediated by local and landscape features and differ between seasons
See
Homogenisation of agricultural landscapes, driven by intensive farming, is one of the key drivers of biodiversity decline in Europe. Whilst government schemes to address this have benefitted some species, they have been less successful for bats, which likely require a landscape-scale approac...
Toward reliable thalamic segmentation: a rigorous evaluation of automated methods for structural MRI
See
Volumetric and demographic values
Enhancing participation in agri-environmental schemes (AES): A Scottish case study
See
Scotland is undergoing a major period of agricultural reform, with a new agri-environmental scheme (AES) package aimed at positioning the country as a leader in sustainable and regenerative agriculture. For these reforms to succeed, farmer participation must be maximised through effective, a...
Methane and carbon dioxide emissions from agricultural ponds are driven by physico-chemical and morphological characteristics
See
Agricultural ponds are globally widespread and multifunctional, yet they emit substantial quantities of greenhouse gases (GHGs), notably methane (CH₄) and carbon dioxide (CO₂), posing a significant but poorly quantified climate disservice. This study quantified diffusive concentrations and fluxes of C...
Potential of farm wetlands and ponds to deliver payment for ecosystem services (PES)
See
Payment for Ecosystem Services (PES) provides a potential income stream for farmers and landowners but is constrained by insufficient evidence on the benefits of Nature-based Solutions (NbS), limited strategies to mitigate trade-offs, and an unreconstructed policy environment that hampers effective...
Research Data @ Stirling
To learn more about Research Data support at Stirling, see our Research Data Webpages.
Deposit in DataSTORRE
Interested in depositing your dataset(s) in DataSTORRE? See the DataStorre Deposit Guide for more information.
Funder Policies?
Click here to learn more about funder expectations for Research data.
DataSTORRE Policies
DataSTORRE Content, Submission, Preservation, Data and Metadata Policies are available here.
IRUS-UK Statistics
DataSTORRE Summary Statistics from JISC's Institutional Repository Usage Statistics UK service are available here.