Browsing University of Nottingham Research Data Management Service by Author "Williams, Paul"
Now showing items 1-10 of 10
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Achieving microparticles with cell-instructive surface chemistry by using tunable co-polymer surfactants
Irvine, Derek J; Wildman, Ricky; Alexander, Morgan; Williams, Paul (The University of Nottingham, 2020-07-06)Dataset contains raw and processed data used for the creation of figures in publication entitled 'Achieving Microparticles with Cell-Instructive Surface Chemistry by Using Tunable Co-Polymer Surfactants' -
Design and evaluation of new quinazolin-4(3H)-one derived PqsR antagonists as quorum sensing quenchers in Pseudomonas aeruginosa
Soukarieh, Fadi (The University of Nottingham, 2022-04-22)A study focused on the design, synthesis and evaluation of pqs quorum sensing inhibitors -
Discovery of hemocompatible bacterial biofilm-resistant copolymers
Hook, Andrew Leslie; Alexander, Morgan; Williams, Paul (The University of Nottingham, 2020-05-19)Dataset contains raw and processed data used for the creation of figures in publication entitled 'Discovery of Hemocompatible Bacterial Biofilm-Resistant Copolymers' -
Effect of surfactant on Pseudomonas aeruginosa colonization of polymer microparticles and flat films
Hüsler, Amanda; Alexander, Morgan (The University of Nottingham, 2018-05-09)Data relating to the paper: "Effect of surfactant on Pseudomonas aeruginosa colonization of polymer microparticles and flat films." Micro- and nanoparticles are of great interest because of their potential for trafficking ... -
Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
Alexander, Morgan (The University of Nottingham, 2020-05-05)Material topography is known to influence macrophage attachment and phenotype, providing opportunities for the rational design of ‘immune-instructive’ topographies to modulate macrophage function and thus foreign body ... -
A linear, binary classifier to predict bacterial biofilm formation on polyacrylates
Williams, Phil (The University of Nottingham, 2022-12-21)Research data and Python code to undertake machine learning to predict bacterial attachment to polyacrylates. -
Prediction of broad spectrum pathogen attachment to coating materials for biomedical devices data
Alexander, Morgan; Mikulskis, Paulius; Winkler, David (The University of Nottingham, 2018-12-21)Bacterial infections in healthcare settings are a frequent accompaniment to both routine procedures such as catheterization and surgical site interventions. Their impact is becoming even more marked as the numbers of medical ... -
Simultaneous tracking of Pseudomonas aeruginosa motility in liquid and at the solid-liquid interface reveals differential roles for the flagellar stators Data
Hook, Andrew Leslie (mSystems, 2019-09-24)Tracking coordinates for bacteria measured in 3D by DHM and in 2D by DIC. Pseudomonas PA01 wildtype and flagella stator mutants associated with motAB, motCD and motABCD shown. Data presented in mSystems article 'Simultaneous ... -
Single cell tracking on polymer microarray reveals the impact of surface chemistry on Pseudomonas aeruginosa twitching speed and biofilm development
Carabelli, Alessandro Maria; Alexander, Morgan R.; Williams, Paul (The University of Nottingham, 2020-09-01)Dataset contains raw and processed data used for the creation of figures in publication entitled 'Single cell tracking on polymer microarray reveals the impact of surface chemistry on Pseudomonas aeruginosa twitching speed ... -
Validating a predictive structure–property relationship by discovery of novel polymers which reduce bacterial biofilm formation
Alexander, Morgan; Irvine, Derek J; Williams, Paul (The University of Nottingham, 2020-06-26)Dataset contains raw and processed data used for the creation of figures in publication entitled 'Validating a Predictive Structure – Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation'