The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the creation of figure 3.5 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC WGI AR6). CMIP6 data that were used as input to this figure...

Data visualisation can serve as a powerful conduit for communicating complex information to diverse audiences.  Research software engineers are often well placed to help researchers visualise complex datasets in a clear and impactful way.  Such visualisations not only enhance accessibility but also foster public engagement and awareness. In...

Research software is commonly developed by an internal "core" set of people, and often funded by grants with defined end dates.  Research software which survives often does so through being adopted and maintained by broader communities beyond that initial core.  Community engagement is thus vital to the success of research software.  rOpenSci...

Machine learning, governed by an optimisation objective, has evolved to handle complex modelling tasks. Managing and monitoring these optimisation processes is challenging, especially when dealing with large-scale simulations or data processing tasks, across domains and compute resources. To address this challenge, the UKAEA has developed...

Green computing is a very broad term encompassing endeavours such as the development and use of energy efficient hardware, the powering of computing infrastructure with renewable energy sources, the repurposing and recycling of computing assets, to extracting benefit from the excess heat produced by HPC systems for example. On the software side...

The proliferation of digital projects contributes to ever-growing legacy estates for RSE Labs and the management of these estates can present an ongoing challenge.  In this presentation two RSE teams will discuss how such legacy estates were formed in the King's College London and University College London contexts, what defines them in terms...

RO-Crate is a mechanism for packaging of research outputs along with structured metadata, providing machine-readability and reproducibility following the FAIR principles. RO-Crate is developed through an open community-driven process and reuse existing standards, with a focus on developers and "just enough" Linked Data. Researchers can...

This talk will explore a transformative approach to handling extensive geospatial data through a streamlined and scalable system architecture. Our method hinges on four foundational elements: cloud-optimised data, object stores, dynamic tile servers, and static web interfaces. We discuss transitioning from traditional scientist-favoured formats...

Climate models are essential tools for understanding and predicting the complex Earth system. Parameterisation is required to accurately simulate phenomena such as cloud formation, convection, and radiative transfer that occur on the sub-grid scale. Machine learning (ML) techniques present new opportunities to extract patterns directly from...

Magnetic confinement devices are a promising path to achieve controlled fusion, where plasma, the fourth state of matter, is contained by magnetic fields and heated to extreme temperatures. A comprehensive set of diagnostic systems is essential to generate and control the plasma and sustain fusion reactions. The analyses of the data produced...