Items where Subject is "Medical Instrumentation, Devices and Equipment"

Group by: Creators | Date | No Grouping
Number of items at this level: 14.

Fletcher, J., Ehrhardt, B., MacLeod, A., Whitehouse, M., Gill, H., Preatoni, E., 2019. Dataset for "Non-locking screw insertion: no benefit seen if tightness exceeds 80% of the maximum torque". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00660.

Fletcher, J., Neumann, V., Wenzel, L., Gueorguiev, B., Richards, R., Gill, R., Whitehouse, M., Preatoni, E., 2020. Dataset for "Variations in non-locking screw insertion conditions generate unpredictable changes to achieved fixation tightness and stripping rates". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00929.

Fletcher, J., Neumann, V., Wenzel, L., Gueorguiev, B., Richards, R., Whitehouse, M., Gill, R., Preatoni, E., 2021. Dataset for "Screw tightness and stripping rates vary between biomechanical researchers and practicing orthopaedic surgeons". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00955.

Fletcher, J., Williams, S., Whitehouse, M., Gill, H., Preatoni, E., 2018. Data for "Juvenile bovine bone is an appropriate surrogate for normal and reduced density human bone in biomechanical testing". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00410.

Fletcher, J., Zderic, I., Gueorguiev, B., Richards, R., Whitehouse, M., Gill, R., Preatoni, E., 2020. Dataset for "Stripping torques in human bone can be reliably predicted prior to screw insertion with optimum tightness being found between 70% and 80% of the maximum". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00755.

Fraser, K., Poelma, C., Zhou, Z., Bazigou, E., Tang, M., Weinberg, P., 2016. Dataset for "Ultrasound Imaging Velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00318.

Knapper, J., 2021. Dataset for Fast, high precision autofocus on a motorised microscope: Automating blood sample imaging on the OpenFlexure Microscope. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01063.

Milo, S., Acosta, F., Hathaway, H., Wallace, L., Thet, N., Jenkins, T., 2018. Dataset for 'Development of an Infection-Responsive Fluorescent Sensor for the Early Detection of Urinary Catheter Blockage'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00430.

Milo, S., Hathaway, H., Nzakizwanayo, J., Alves, D., Pérez Esteban, P., Jones, B., Jenkins, T., 2017. Dataset for 'Prevention of Encrustation and Blockage of Urinary Catheters by Proteus mirabilis via pH-Triggered Release of Bacteriophage'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00428.

Milo, S., Thet, N., Liu, D., Nzakizwanayo, J., Jones, B., Jenkins, T., 2017. Dataset for 'An in-situ infection detection sensor coating for urinary catheters'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00429.

Turner, J., Lay, E., Jungwirth, U., Varenko, V., Gill, R., Estrela, P., Leese, H., 2023. Dataset for "3D‐Printed Hollow Microneedle‐Lateral Flow Devices for Rapid Blood‐Free Detection of C‐Reactive Protein and Procalcitonin". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01233.

Wood, H., 2017. Data for Quantitative characterisation of imaging fibres. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00325.

Wood, H., Ehrlich, K., Yerolatsitis, S., Kufcsák, A., Stone, J., Quinn, T., Fernandes, S., 2022. Dataset for "Tri-mode optical biopsy probe with fluorescence endomicroscopy, Raman spectroscopy, and time resolved fluorescence spectroscopy". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01174.

du Bois, J., Plummer, A., Gill, R., Flynn, J., Roesner, J., Lee, S., Magee, P., Thornton, M., Padkin, A., 2020. Dataset for BathRC Ventilation model. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00816.

This list was generated on Fri Apr 19 06:15:25 2024 BST.