Le Boulbar, E., 2017. Dataset for "Displacement Talbot Lithography: an alternative technique to fabricate nanostructured metamaterials". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00363.
Shields, P., Le Boulbar, E., Priesol, J., Šatka, A., Nouf-Allehiani, M., Naresh-Kumar, G., Fox, S., Trager-Cowan, C., 2017. Dataset for 'Design and fabrication of enhanced lateral growth for dislocation reduction and strain management in GaN using nanodashes'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00257.
Mattia, D., Medina Llamas, M., 2018. Dataset for 'Semi-continuous production of iron oxide nanoparticles via membrane emulsification'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00544.
Omojola, T., Cherkasov, N., Rebrov, E., Lukyanov, D., Perera, S., 2018. Dataset for "Zeolite Minilith: A Unique Structured Catalyst for the Methanol to Gasoline Process". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00524.
Chausse, P., Le Boulbar, E., Coulon, P., Shields, P., 2019. Dataset for "‘Double’ Displacement Talbot Lithography: fast, wafer-scale, direct-writing of complex periodic nanopatterns". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00709.
Chausse, P., Le Boulbar, E., Lis, S., Shields, P., 2019. Dataset for "Understanding the resolution limit of Displacement Talbot Lithography". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00570.
Hossain, K., Calabrese, V., da Silva, M., Bryant, S., Schmitt, J., Scott, J., Edler, K., 2019. Dataset for 'Cationic surfactants as a non-covalent linker for oxidised cellulose nanofibrils and starch-based hydrogels'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00683.
Li, P., Collomb, D., Bending, S., 2019. Dataset for "High quality hydrogen silsesquioxane encapsulated graphene devices with edge contacts". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00718.
Armstrong, R., Coulon, P., Bozinakis, P., Martin, R., Shields, P., 2020. Data set for "Creation of regular arrays of faceted AlN nanostructures via a combined top-down, bottom-up approach". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00893.
Hossain, K., Calabrese, V., Alves Da Silva, M., Schmitt, J., Bryant, S., Islam, M., Felfel, R., Scott, J., Edler, K., 2020. Dataset for "Microstructural, thermal, crystallization and water absorption properties of films prepared from never-dried and freeze-dried cellulose nanocrystals". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00930.
Hossain, K., 2021. Dataset for ''Monovalent salt and pH-induced gelation of oxidised cellulose nanofibrils and starch networks: combining rheology and small-angle X-ray scattering''. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00985.
Callaghan, C., Mattia, D., Edler, K., Scott, J., 2022. Dataset for Continuous Production of Cellulose Microbeads by Rotary Jet Atomization. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01067.
Li, P., Collomb, D., Lim, Z., Dale, S., Shepley, P., Burnell, G., Bending, S., 2022. Dataset for "High resolution magnetic microscopy based on semi-encapsulated graphene Hall sensors". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01169.
Chen, Y., Rao, Y., Liu, P., Wu, L., Zhang, G., Zhang, J., Xie, F., 2024. Dataset for "High-amylose starch-based gel as green adhesive for plywood: Adhesive property, water-resistance, and flame-retardancy". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01436.
Zoumpouli, L., Tasso Guaraldo, T., Warren, Z., Mattia, D., Chew, J., 2024. Dataset for "Reimagining the shape of porous tubular ceramics using 3D printing". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01345.