DataSTORRE
DataSTORRE: Stirling Online Repository for Research Data.
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
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...
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...
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&#x...
This research dataset was generated as part of a PhD study investigating the microbial safety of commercial aquaculture probiotics in Bangladesh. It comprises three appendices: Appendix 2a contains probiotic product label information collected from aquaculture markets in Bangladesh. ...
Mathematical and computational models play a crucial role in understanding the epidemiology of economically important plant disease outbreaks, and in evaluating the effectiveness of surveillance and disease management measures. A case in point is Xylella fastidiosa, one of the world’s most deadly...
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.
Communities in DataSTORRE
Choose a community to browse its collections.
University of Stirling 186
This community contains datasets produced by University of Stirling researchers.