Items from Computer Science

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Baines, V., 2015. Challenges in artificial socio-cognitive systems: A study based on intelligent vehicles: Dataset. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00080.

Barathi, S., Proulx, M., O'Neill, E., Lutteroth, C., 2020. Datasets and Analyses for "Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00758.

Behera, C., Joshi, A., Wang, D., Sharp, T., Wong-Lin, K., 2023. Code and data for "Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01266.

Bertel, T., Yuan, M., Lindroos, R., Richardt, C., 2020. Datasets for “OmniPhotos: Casual 360° VR Photography”. Version 2. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00948.

Bradford, R., Davenport, J., England, M., McCallum, S., Wilson, D., 2015. Dataset supporting the paper: Truth table invariant cylindrical algebraic decomposition. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00076.

Brewer, T., Jack, R., 2018. Data for 'Efficient characterisation of large deviations using population dynamics'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00457.

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Chinery, A., 2015. Videos for "Dynamic Editable Models of Fire From Video". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00095.

Collomosse, J., 2004. Dataset for "Higher Level Techniques for the Artistic Rendering of Images and Video". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01159.

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Davenport, J., 2022. Dataset for chapter "Quality and Bias". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01099.

Davenport, J., 2017. Dataset supporting 'What Does "Without Loss of Generality" Mean (And How Do We Detect It)'. Zenodo. Available from: https://doi.org/10.5281/zenodo.305441.

Davenport, J., Murphy, E., Crick, T., 2016. Dataset for GW4 "First Programming Courses" project. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00246.

De La Dehesa Cueto-Felgueroso, J., 2020. Dataset for "A Novel Neural Network Architecture with Applications to 3D Animation and Interaction in Virtual Reality". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00752.

Dehesa, J., Ninja Theory Ltd, 2020. Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00754.

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England, M., Bradford, R., Davenport, J., 2015. Dataset supporting the paper: Improving the use of equational constraints in cylindrical algebraic decomposition. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00071.

Evans, M., Needham, L., Wade, L., Parsons, M., Colyer, S., McGuigan, P., Bilzon, J., Cosker, D., 2024. BioCV Motion Capture Dataset. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01258.

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Jeffery, Z., Koulouris, J., Best, J., Lutteroth, C., O'Neill, E., 2020. Supplement for "Me vs. Super(wo)man: Effects of Customization and Identification in a VR Exergame". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00757.

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Lee, J., 2015. Dataset for "Norm Awareness for Virtual Characters Behaviour: A Socio-Cognitive Approach". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00100.

Lee, J., Gabe-Thomas, E., Lovett, T., Padget, J., Natarajan, S., Coley, D., 2016. ENLITEN - A dataset and its associated analysis code for the paper entitled "Designing sensor sets for capturing energy events in buildings". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00241.

Lewis-Atwell, T., Beechey, D., Şimşek, Ö., Grayson, M., 2023. Dataset for "Reformulating Reactivity Design for Data-Efficient Machine Learning". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01240.

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Mogles, N., Gabe-Thomas, E., 2017. Energy behaviour change model validation. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00193.

Mogles, N., Walker, I., Ramallo-González, A., Lee, J., Natarajan, S., Padget, J., Gabe-Thomas, E., Hyniewska, S., Lovett, T., Ren, G., O'Neill, E., Hourizi, R., Coley, D., 2016. Dataset for 'How smart do smart meters need to be?'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00256.

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Panteli, N., Davenport, J., Marder, B., Nemetz, F., 2015. Metaphors of Identity: Focus Groups. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00079.

Potts, D., Hartley, J., Jicol, C., Clarke, C., Lutteroth, C., 2024. Dataset for "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming" and EmoSense SDK. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01372.

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Rey-Area, M., Yuan, M., Richardt, C., 2022. Matterport3D 360° RGBD Dataset. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01126.

Rotsidis, A., 2021. Dataset for "ExMaps: Long-Term Localization in Dynamic Scenes using Exponential Decay". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00986.

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Seminati, E., 2017. Repository-Residuum model shape and volume assessment. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00417.

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Tonks, Z., 2017. Data for 'Fast Matrix Operations in Computer Algebra'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00460.

Tonks, Z., 2023. Dataset for Quantifier Elimination and CAD examples in Maple. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00746.

Tonks, Z., 2019. 'On Fast Matrix Inversion' Cancellations Demonstration Worksheet. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00577.

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Wilson, D., 2013. Real Geometry and Connectedness via Triangular Description: CAD Example Bank. Version 4. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00069.