2026-10-06T05:02:39Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/34073984
2026-10-05T17:55:35Z
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month_year_10_2026
<p>Experimental data for <i>P. aeruginosa</i> exposed to tetracycline.</p>
Sarah Sundius (25317320)
Jennifer Farrell (1796587)
Kelly L. Eick (25317323)
Rachel Kuske (16738230)
Sam P. Brown (11156568)
Medicine
Genetics
Biotechnology
Ecology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified
Infectious Diseases
targeting pathogen cells
quantifies classic rate
pseudomonas aeruginosa </
g ., mic
div >< p
biological time series
based fitting algorithm
quantifying antibiotic susceptibility
led computational pipeline
7 inoculum sizes
classifies transient dynamics
based model parameterization
clustering approach suggest
saturating antibiotic
pipeline identifies
inoculum effects
approach utilizing
novel metrics
modern medicine
loss term
dependent effects
controlled perturbations
clinical infections
bacterial populations
12 doses
<p>Experimental data for <i>P. aeruginosa</i> exposed to tetracycline.</p>
2026-10-05T17:55:20Z
Dataset
Dataset
10.1371/journal.pcbi.1014827.s013
https://figshare.com/articles/dataset/_p_Experimental_data_for_i_P_aeruginosa_i_exposed_to_tetracycline_p_/34073984
CC BY 4.0