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Welcome to Durham Research Online (DRO)

Durham Research Online (DRO) is the University’s Open Access repository for publications. The primary purpose of DRO is to provide open access to publications authored by staff and students affiliated with Durham University.

See our Policies page for further information.



Latest Additions

Numerical integration of the Glasgow Coupled Model (GCM) (2023)
Presentation / Conference Contribution
Lloret-Cabot, M., Wheeler, S. J., & Gens, A. (2023, May). Numerical integration of the Glasgow Coupled Model (GCM). Presented at 8th International Conference on Unsaturated Soils (UNSAT 2023), Milos, Greece

This paper presents the derivation of the incremental constitutive relations of the Glasgow Coupled Model (GCM), an established elasto-plastic model for unsaturated soils intended to represent their mechanical and water retention behaviour. The set o... Read More about Numerical integration of the Glasgow Coupled Model (GCM).

Viral ecologies: Resurgent nature, COVID-19 and the discourse of transgender contagion (2024)
Journal Article
Brice, S., & McNulty, F. (in press). Viral ecologies: Resurgent nature, COVID-19 and the discourse of transgender contagion. Environment and Planning E: Nature and Space, https://doi.org/10.1177/25148486241284176

During the early days of the COVID-19 pandemic, popular narratives of a ‘resurgent nature’ and portrayals of the virus as a form of ‘revenge’ prompted geographical reflection on the promises and limitations of ecological perspectives on the SARS-CoV-... Read More about Viral ecologies: Resurgent nature, COVID-19 and the discourse of transgender contagion.

Paleontological Data Analysis (2024)
Book
Hammer, Ø., & Harper, D. A. T. (2024). Paleontological Data Analysis. (2nd ed.). Wiley

Paleontology has developed in recent decades into an increasingly data-driven discipline, which brings to bear a huge variety of statistical tools. Applying statistical methods to paleontological data requires a discipline-specific understanding of w... Read More about Paleontological Data Analysis.