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Data and scripts from: Heterogenous biofilm mass-transport model replicates periphery sequestration of antibiotics in Pseudomonas aeruginosa PAO1 microcolonies

Data Citation:

Prince, J., & Jones, A. D., III. (2023). Data and scripts from: Heterogenous biofilm mass-transport model replicates periphery sequestration of antibiotics in Pseudomonas aeruginosa PAO1 microcolonies. Duke Research Data Repository. https://doi.org/10.7924/r4pr80j7f
Data from: Experiments on osmotically driven flow in idealized elastic membranes

Data Citation:

Nakad, M., Domec, J., Sevanto, S., Katul, G. (2022). Data from: Experiments on osmotically driven flow in idealized elastic membranes. Duke Research Data Repository. https://doi.org/10.7924/r45d8zp3s
Data from: Influence of CNT loading and environmental stressors on leaching of polymer associated chemicals from epoxy and polycarbonate nanocomposites

Data Citation:

Walker, I., Montaño, M., Lankone, R., Fairbrother, H. & Ferguson, L. (2021). Data from: Influence of CNT loading and environmental stressors on leaching of polymer associated chemicals from epoxy and polycarbonate nanocomposites. Duke Research Data Repository. https://doi.org/10.7924/r4r49q34n
Data and scripts from: A structure database and in silico spectral library for comprehensive suspect screening of per- and polyfluoroalkyl substances (PFASs) in environmental media by high-resolution mass spectrometry

Data Citation:

Getzinger, G. J., Higgins, C. P., & Ferguson, P. L. (2021). Data and scripts from: A structure database and in silico spectral library for comprehensive suspect screening of per- and polyfluoroalkyl substances (PFASs) in environmental media by high-resolution mass spectrometry. Duke Research Data Repository. V2 https://doi.org/10.7924/r4q23zg65
Data and scripts from: A structure database and in silico spectral library for comprehensive suspect screening of per- and polyfluoroalkyl substances (PFASs) in environmental media by high-resolution mass spectrometry

Data Citation:

Getzinger, G. J., Higgins, C. P., & Ferguson, P. L. (2020). Data and scripts from: A structure database and in silico spectral library for comprehensive suspect screening of per- and polyfluoroalkyl substances (PFASs) in environmental media by high-resolution mass spectrometry. Duke Research Data Repository. https://doi.org/10.7924/r4c53n875
Data from: High-elevation monsoon precipitation processes in the Central Andes of Peru

Data Citation:

Chavez, S. P., Silva, Y., & Barros, A. P. (2020). Data from: High-elevation monsoon precipitation processes in the Central Andes of Peru. Duke Research Data Repository. V2 https://doi.org/10.7924/r41n84j94
Data from: High-elevation monsoon precipitation processes in the Central Andes of Peru

Data Citation:

Chavez, S. P., Silva, Y., & Barros, A. P. (2020). Data from: High-elevation monsoon precipitation processes in the Central Andes of Peru. Duke Research Data Repository. https://doi.org/10.7924/r4n877f1k
Data from: Evaluation of the mycobiome of ballast water and implications for fungal pathogen distribution

Data Citation:

Gunsch, C. (2020). Data from: Evaluation of the mycobiome of ballast water and implications for fungal pathogen distribution. Duke Research Data Repository. https://doi.org/10.7924/r4t72cv5v
The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEX-H4SE) Part IV: High-Resolution Enhanced Stage IV-Raingauge Combined Precipitation Product

Data Citation:

Liao, M., & Barros, A. P. (2019). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEX-H4SE) Part IV: High-Resolution Enhanced Stage IV-Raingauge Combined Precipitation Product. Duke Digital Repository. https://idn.duke.edu/ark:/87924/r4pc2zd75
Namelists and scripts from: Vertical Dependence of Horizontal Scaling Behavior of Orographic Wind and Moisture Fields in Atmospheric Models

Data Citation:

Eghdami, M., & Barros, A. (2019). Namelists and scripts from: Vertical Dependence of Horizontal Scaling Behavior of Orographic Wind and Moisture Fields in Atmospheric Models. Duke Digital Repository. https://doi.org/10.7924/r4154jq8h

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Subject

Rain gauges6
Rain and rainfall--United States5
Andes2
Environmental chemistry2
Mass spectrometry2
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Creator

Barros, Ana P.9
Tao, Jing3
Chavez, Steven2
Ferguson, P. Lee2
Getzinger, Gordon J.2
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Format

TXT11
CSV7
ZIP4
BIN3
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Affiliation

Civil and Environmental Engineering[remove]16
Pratt School of Engineering6
Colorado School of Mines. Department of Civil and Environmental Engineering2
Department of Atmospheric Sciences, University of North Carolina, Asheville1
Department of Chemistry, Johns Hopkins University1
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Dataset16

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Current results range from 2014 to 2023

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