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10 results for “Antimicrobial Surfaces”
A new in vitro blood flow model for the realistic evaluation of antimicrobial surfaces
<p>Dataset to the publication</p> <p>A new <em>in vitro</em> blood flow model for the realistic evaluation of antimicrobial surfaces</p> <p>Juliane Valtin, Stephan Behrens, André Ruland, Florian Schmieder, Frank Sonntag, Lars D. Renner, Manfred F. Maitz, Carsten Werner</p> <p><em>Adv. Healthcare Mater.</em> 2023, 2301300. <a href="https://doi.org/10.1002/adhm.202301300">https://doi.org/10.1002/adhm.202301300</a></p>
Comparison of antimicrobial resistance genes on the ocular surface of patients with corneal infections in California and Malawi
Open the record for dataset details and reuse information.
Decorating Nanostructured Surfaces with Antimicrobial Peptides to Efficiently Fight Bacteria
<p>Data underlying the figures in the publication “Decorating Nanostructured Surfaces with Antimicrobial Peptides to Efficiently Fight Bacteria”, published in <em>ACS Appl. Bio Mater</em>., <strong>2020</strong>, 3, 3, 1533–1543.</p> <p><a href="https://pubs.acs.org/doi/10.1021/acsabm.9b01154">https://pubs.acs.org/doi/10.1021/acsabm.9b01154</a></p> <p>Table of contents:</p> <p><strong>1. Figure 1</strong>; Zip file containing the numerical data for the FCS studies of <em>Figure 1</em>.</p> <p><strong>2. Figure 2</strong>; Zip file containing the data underlying <em>Figure 2</em>.</p> <p><strong>3. Figure 3</strong>; Zip file containing the numerical data for the XPS studies of <em>Figure 3</em>.</p> <p><strong>4. Figure 4</strong>; Zip file containing the numerical data for the QCM-D studies of <em>Figure 4</em>.</p> <p><strong>5. Figure 5</strong>; Zip file containing the data underlying <em>Figure 5</em>.</p> <p><strong>6. Table 1</strong>; Zip file containing the numerical data for the FCS Fitting Parameters in <em>Table 1</em>.</p> <p><strong>5. Table 2</strong>; Zip file containing the numerical data for the Atomic concentrations calculated in <em>Table 1</em>.</p> <p> </p> <p> </p> <p> </p>
Clinical Assessment of a New Catheter Surface Coating With Antimicrobial Properties
ClinicalTrials.gov study NCT00621712. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Multi-level Antimicrobial Surface Coating for a Healthier Environment
ClinicalTrials.gov study NCT03795090. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries [HiSeq]
GEO Series GSE94529. Escherichia coli str. K-12 substr. W3110. 4 samples. Type: Other.
Data from: Phenotypic antimicrobial resistance in Staphylococcus sp. and Enterococcus sp. isolated from surface water – a preliminary report
<p><span>Water as a vehicle of antimicrobial resistance (AMR) is a well-known phenomenon. Therefore, One Health inspired surveillance campaign to detect circulation of antimicrobial resistance through the ecosystem are very often based on investigation of water samples. Bacteria belonging to the genera <em>Staphylococcus</em> and <em>Enterococcus</em> are good models in One Health research because of their ubiquitous occurrence and effortless isolation techniques. In this study, we aimed to compare different types of water sources as potential spreaders of AMR staphylococci and enterococci in the ecosystem. For this reason, we took water samples from the Drava River and small waterholes in a forest area. We hypothesised that rivers could collect diverse bacteria and resistance from the catchment area, while forest waterholes gather bacterial contamination from the local wildlife, thus a less diverse resistant bacterial community characterise them. From 22 and 10 water samples, collected from waterholes and the Drava River active floodplain, we isolated 21 and 13 bacterial strains, respectively. The bacterial community of the river proved more diverse, while waterhole samples contained resistant bacteria to more antimicrobials. In waterhole samples, we detected two methicillin resistant coagulase negative Staphylococcus strains. The most conspicuous difference between the two habitats was the predominance of multidrug resistant <em>S. sciuri</em> in the forest waterholes. We could conclude that water could be a good indicator of AMR contamination of the ecosystem, and large-scale sampling could reveal the exact epidemiological role of different water habitats.</span></p>
Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries
GEO Series GSE94531. Escherichia coli str. K-12 substr. W3110. 12 samples. Type: Other.
Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries [MiSeq]
GEO Series GSE94530. Escherichia coli str. K-12 substr. W3110. 8 samples. Type: Other.
Controlled Crossover Study of AIONX Antimicrobial Surface for the Prevention of Healthcare-associated Infections
ClinicalTrials.gov study NCT03189043. IPD Sharing: NO. Countries: 0. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.