Items from 2026

B

Bakindi, A., Norman, J., Houlihan Wiberg, A., Allen, S., 2026. Data and code for: Streamlined Column-Based Disaggregation Method for Carbon Footprint Quantification for Multi-Regional Input-Output (MRIO) Models. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01578.

Booton, G., Wasawo, T., Davis, W., McGarry, C., Rusimova, K., Davis, A., Nunn, J., Mosley, P., 2026. Dataset for "Cavity-based optical switching via phase modulation in rubidium warm vapor". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01582.

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Conzatti, A., Fosas, D., Kuchai, N., Keser, E., Albadra, D., Coley, D., Prof. Hom Bahadur Rijal, 2026. SheltAir. Co-created airflow and COVID-19 transmission risk model for shelter design. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01439.

Conzatti, A., Kuchai, N., Keser, E., Albadra, D., Coley, D., 2026. Dataset for "Co-creation of an airflow and COVID-19 transmission risk model for shelter design". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01434.

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Fletcher, J., Nasr, R., Zaribaf, F., Pegg, E., 2026. Dataset for Threshold screw insertion torque for carbon fibre-reinforced polyetheretherketone and titanium (Ti-6Al-4V) locking plate constructs. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01645.

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Hamilton-Giachritsis, C., Airdrie, J., Petrini, K., Jicol, C., 2026. Dataset for “Exploring the moderating role of maternal attachment style on the impact of a virtual reality environment on parental empathy and style: A Pilot study”. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01670.

Hawkins, W., Hossell, S., Morris, G., Kjeldsen, T., Orr, J., Watson, D., 2026. Dataset for "Stochastic modelling of imposed floor loads in modern office buildings". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01607.

Hayward, S., 2026. Dataset for Nonlinear viscoelastic models improve characterisation of 6 DOF intervertebral disc load response at low strain rates. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01524.

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Malkowski, O., Western, M., 2026. Dataset for "Feasibility and acceptability of 7-day smartphone-based, activity-triggered Ecological Momentary Assessment among low-income older adults". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01588.

Marsh, E., Hawkins, W., Shea, A., Allen, S., Demski, C., Phelps, P., Barnes, A., Smallwood, C., Richards, S., Daone, R., Bell, A., Nikolaidou, E., 2026. Dataset for "Pioneering Net Zero Carbon Construction Policy in Bath & North East Somerset: Evaluating the effectiveness of novel planning policies over time". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01608.

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Neville, G., Nasser, A., Doutch, J., King, S., Estrela, P., Whitley, P., Price, G., Edler, K., 2026. Dataset for "Influence of Block Microstructure on the Interaction of Styrene-Maleic Acid Copolymer Aggregates and Lipid Nanodiscs". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01635.

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Pollet, M., Shepherd, P., Hawkins, W., 2026. Dataset for a framework for assessing the impact of geometric imperfections in concrete shell structures using deep learning. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01532.

Pollet, M., Shepherd, P., Hawkins, W., 2026. Dataset for: Multi-Fidelity deep learning for predicting the nonlinear buckling behaviour of concrete thin-shells. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01533.

Pollet, M., Shepherd, P., Hawkins, W., Costa, E., 2026. ConcreteShellFEA: A surrogate modelling dataset for the buckling and stress behaviour of concrete thin-shells. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01519.

Pollet, M., Shepherd, P., Hawkins, W., Costa, E., 2026. Dataset for "Fast structural analysis of concrete thin-shells using deep learning". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01504.

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Salmon, P., Zeidler, A., 2026. Data sets for "Bond counting strategies in an oxygen centric perspective on the structure of oxide glasses". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01656.

Sontag, A., Hoffmann, J., Rogers, T., Yates, K., 2026. Experimental data and code for "Consensus formation and change are enhanced by neutrality". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01478.

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Vo-Bui, N., Khansur, N., Webber, K., Bowen, C., Roscow, J., 2026. Dataset for "High freeze-casting cooling rates enhance the piezoelectric responses and reproducibility of porous lead zirconate titanate for sensing and energy harvesting". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01625.

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Wildman, J., 2026. Dataset for "Assessing the susceptibility to mould growth of mycelium-based composite insulation". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01633.

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Zarandi, A., Davis, C., Eve, M., 2026. Dataset supporting: How can a paediatric neurorehabilitation service best meet the needs of parents and carers? Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01327.