Our Work

This dataset contains questionnaire responses from 445 high school students in grades 9–12 in Türkiye. It was collected for a cross-sectional study examining the predictive roles of digital…

This dataset contains questionnaire responses from 445 high school students in grades 9–12 in Türkiye. It was collected for a cross-sectional study examining the predictive roles of digital literacy and e-motions in cyberbullying coping strategies, including analyses of students who had and had not witnessed cyberbullying.Data were collected using the Digital Literacy Scale, the E-motions Questionnaire, and the Cyberbullying Coping Strategies Scale. The dataset includes item-level responses, computed scale and subscale scores, demographic characteristics, technology use variables, and indicators of previous cyberbullying witnessing, victimization, and digital safety training. Of the 445 respondents, 248 reported having witnessed cyberbullying and 197 reported no such experience.The data are provided in SPSS Statistics format (.sav). The dataset supports the examination of relationships among digital literacy, online emotional processes, and self-reported cyberbullying coping strategies.

Physical systems can encode functions whose zeros correspond to Riemann-zero ordinates, but estimation precision depends on encoding, calibration, noise and resources. We reassess whether experiments …

Physical systems can encode functions whose zeros correspond to Riemann-zero ordinates, but estimation precision depends on encoding, calibration, noise and resources. We reassess whether experiments support a universal observable-height ceiling or its increase with cosmic age. Reanalysis of 269 published trapped-ion estimates finds setting-dependent uncertainties without a common endpoint breakdown. A July 2026 nuclear-spin experiment supplies processed data near the first five zeros; its higher-index demonstrations are simulations. Motivated by a published numerical correspondence involving a non-autonomous quadratic map, we formulate an inverse-log-squared dependence for an additional uncertainty scale. At an illustrative Planck-time reference scale, its present fractional drift is approximately $-1.03\times10^{-12}\,\mathrm{yr}^{-1}$. We extend an initial spectroscopic pilot with joint ESPRESSO Fe II fits, native-pixel diagnostics of 17 exposures, and screening of 36 catalogued absorbers in 32 UVES spectra. Relative-shift preferences depend on covariance, strong-core masks and gas structure. Same-transition differences between adjacent ESPRESSO orders motivate calibration, extraction and profile-model checks at tens of metres per second. Conventional gas models adequately describe two additional absorber pilots under the tested noise assumptions. These limitations inform a staged spectroscopy program. An independently specified physical response remains necessary to connect line shifts or shape changes to the proposed uncertainty component; no universal cutoff or preferred aging exponent is established.

Frozen reviewer reproducibility package for the manuscript "An iterative MILP-neighborhood matheuristic for large-scale minimum-cost double Roman domination." This release contains the imple…

Frozen reviewer reproducibility package for the manuscript "An iterative MILP-neighborhood matheuristic for large-scale minimum-cost double Roman domination." This release contains the implementation, frozen configurations, generated-instance archives, raw and processed results, saved solution evidence, integrity hashes, and verification scripts. It excludes manuscript and LaTeX sources. Verification command: python experiments/scripts/verify_reviewer_package.py

This deliverable presents the final policy recommendations and implementation guidance developed through the RURACTIVE project to support more just, sustainable, resilient and inclusive rural developm…

This deliverable presents the final policy recommendations and implementation guidance developed through the RURACTIVE project to support more just, sustainable, resilient and inclusive rural development across Europe. Based on evidence from twelve Rural Innovation Ecosystems (RIEs), territorial experimentation, policy analysis, stakeholder engagement and policy co-creation, the report translates project findings into practical recommendations for European, national, regional and local policymakers. Rather than proposing a new rural policy framework, it identifies how existing policy instruments can be better coordinated through integrated, place-based and participatory territorial governance. The recommendations cover eight horizontal priorities and six Rural Development Drivers: local services, health and wellbeing; sustainable multimodal mobility; culture and cultural innovation; sustainable agrifood systems and ecosystem management; energy transition and climate neutrality; and nature-based and cultural tourism. Key areas of focus include strengthening Rural Innovation Ecosystems and multi-level governance, advancing the Right to Stay, reinforcing intermediary organisations and local capacity, improving coherence across European policy instruments, strengthening the territorial dimension of National and Regional Partnership Plans, and developing outcome-oriented monitoring frameworks centred on accessibility, affordability, resilience, participation, wellbeing, demographic sustainability and territorial attractiveness. The recommendations are grounded in a participatory and evidence-based policy development process involving the twelve RURACTIVE Dynamos and their Local Action Plans, four RURACTIVE Forums, validation with the Multi-Stakeholder Advisory Board and external experts, and benchmarking against other Horizon Europe projects and wider European policy debates. In total, 79 proto-policy recommendations were progressively refined and consolidated into the final proposals. The deliverable also identifies implementation pathways within existing European instruments, including Cohesion Policy, the Common Agricultural Policy, LEADER/CLLD, Interreg and Horizon Europe. It highlights Functional Rural Areas, Rural Innovation Ecosystems, multi-level governance, capacity-building, fairness, inclusion and outcome-oriented monitoring as key enablers of rural transformation. The report is particularly relevant to ongoing debates on the post-2027 EU policy framework, including the 2028–2034 Multiannual Financial Framework, the future of Cohesion Policy and the CAP, National and Regional Partnership Plans, the Long-Term Vision for Rural Areas, the Rural Pact and the emerging Right to Stay Strategy. Taken together, the recommendations provide both a policy agenda and an implementation framework for strengthening territorial cohesion, resilience, competitiveness, inclusion and the capacity of rural communities to contribute to Europe’s green, digital and demographic transitions.

This report describes work that was completed as one of the £5k mini projects funded by the Careers and Skills for Data-driven Research (CaSDaR) project's funding call round 1, which sought to p…

This report describes work that was completed as one of the £5k mini projects funded by the Careers and Skills for Data-driven Research (CaSDaR) project's funding call round 1, which sought to provide an evidence base of the skills and requirements for Data Stewards in the UK. Executive summary: The springboard project supported the Open Research Team at Queen’s University Belfast (QUB) to upskill a newly appointed Senior Library Assistant, Andrew Harrison, in formal data stewardship practice during a critical period of transition from the legacy Queen’s Research Portal (Pure) to the new Open Research Repository (ORR, powered by Figshare) for data and theses.  Over the project period the trainee created two training videos covering e-thesis and dataset/non-traditional output submission, produced comprehensive written user guidance for ORR, and led a pilot to curate and preserve 100 at-risk LawPod podcast records as FAIR-compliant, persistently identified repository records. At the end of the project, we completed 80 Podcast records. The project was originally scheduled for March–May 2026 to precede peak thesis submission season; delivery was subsequently rescheduled to 6 July–18 September 2026 at CaSDaR's request, so that the project would not begin until after the trainee had completed his summer DCC training; CaSDaR was consulted on and approved this change, and the scope, milestones and deliverables set out in the original application were otherwise preserved.  The trainee also undertook DCC data curation and data stewardship training alongside CaSDaR’s wider training and networking programme. The project directly supports researchers adopting the new repository, addresses a preservation risk for a valuable non-traditional research output, and provides QUB with an evidence base for the case for sustained investment in data stewardship capacity. More information on CaSDaR's work and this funding call can be found here: https://casdar.ac.uk/funding/ This report is an output from the Careers and Skills for Data-driven Research (CaSDaR) initiative, a 4-year UKRI funded dRTP initiative, grant number UKRI739.

The wine industry generates unsustainable quantities of grape marc. Passive composting is commonly used to stabilize these byproducts, but vermicomposting is another alternative, yet direct comparison…

The wine industry generates unsustainable quantities of grape marc. Passive composting is commonly used to stabilize these byproducts, but vermicomposting is another alternative, yet direct comparisons of how these two processes shape grape marc microbiomes under the same operating conditions remain scarce. We compared the effects of passive composting and vermicomposting on grape marc bacteriomes and mycobiomes derived from Vitis vinifera cv. Albariño (raw) and Mencía (raw and distilled) using amplicon sequencing (16S rRNA and ITS). After 63 days of processing, Pseudomonadota and Bacteroidota dominated the bacteriomes across processes, while Basidiomycota and Ascomycota dominated the mycobiomes. Vermicomposting consistently altered community composition and enriched taxa associated with organic matter degradation and nutrient cycling. Vermicomposts also contained greater proportions of unique bacterial and fungal OTUs than passive composts across the three grape marc types, indicating extensive community turnover. Hundreds of bacterial and fungal genera and OTUs differed significantly between processing methods, reflecting taxonomic restructuring. Moreover, vermicomposting increased microbial richness by up to 76.6% and complexity (i.e., inverse Simpson) by up to 64.0%. Both bacteriomes and mycobiomes showed clear separation between passive composting and vermicomposting in multivariate ordinations, with community variation largely explained by processing method. Overall, our results suggest that vermicomposting is not simply an alternative stabilization process but a distinct biological transformation that generates more diverse and compositionally distinct microbiomes than passive composting. This supports the use of vermicomposting to valorize grape marc into biologically enriched organic amendments with potential benefits for soil health, vineyard productivity, and wine quality.

Microscopy has long been a cornerstone of biological research, and recent technological advancements have made it increasingly quantitative. But the analytical approaches used by many researchers ofte…

Microscopy has long been a cornerstone of biological research, and recent technological advancements have made it increasingly quantitative. But the analytical approaches used by many researchers often lack reproducibility. In tandem with these technological advances, the specialist Research Technical Professional role of the “bioimage analyst” has emerged. These experts possess the unique combination of skills and knowledge to optimise computational analyses of microscopy images. At the Francis Crick Institute, our team does this primarily via training and workflow development, adhering to FAIR principles wherever possible. However, the barriers to fully implementing FAIR workflows in bioimaging remain significant. Many researchers lack computational skills and require extensive training and support to implement reproducible pipelines to analyse their data. The data itself can be challenging, even for seasoned analysts, as file formats are many and varied, despite much progress on standardisation from groups such as the Open Microscopy Environment. Furthermore, modern microscopy systems allow the routine acquisition of large, multi-dimensional datasets, requiring substantial computational resources to analyse, which many researchers do not have access to. These are not Crick-specific challenges. They are systemic across the life sciences and common to any data-intensive research domain - exactly the kind of cross-cutting problem a shared, open research commons is meant to address. Here we present an overview of our efforts to tackle these challenges. These include the development of open-source analysis workflows, training programmes aimed at building computational literacy among bench scientists, and community-building initiatives to connect knowledge silos distributed around the UK and beyond.