Tao, J., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEx-H4SE) Part IV: Soil Hydraulic Parameters. Duke Digital Repository. http://hdl.handle.net/10161/8959
Miguel, N., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEx-H4SE). Part III: High-Resolution Ensemble Rainfall Products. Duke Digital Repository. http://hdl.handle.net/10161/8969
Tao, J., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment. Part I: Quality High-Resolution Landscape Attributes Datasets. Duke Digital Repository. http://hdl.handle.net/10161/8968
Tao, J., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment – Hydrologic Applications for the Southeast US (IPHEx-H4SE). Part II: Atmospheric Forcing and Topographic Corrections. Duke Digital Repository. http://hdl.handle.net/10161/8958
Melis, M., Poggi, D., Fasanella, G. O. D., Cordero, S., Katul, G. (2018). Data from: Resistance to flow on a sloping channel covered by dense vegetation following a dam-break. Duke Digital Repository. https://doi.org/10.7924/r4t72c41h
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
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
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
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
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
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
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
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
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
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
Hsu-Kim, H., Wadle, A., Neal-Walthall, N., & Ndu, U. (2023). Data from: Distribution and homogenization of multiple mercury species inputs to freshwater wetland mesocosms. Duke Research Data Repository. https://doi.org/10.7924/r4fj2p49s
Chen, P., & Guilleminot, J. (2022). Data from: Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation. Duke Research Data Repository. https://doi.org/10.7924/r4rn3c061
Miller, J. D., Herkert, N. J., Stapleton, H. M., & Hsu-Kim, H. (2024). Data from: Silicone wristbands for assessing personal chemical exposures: Impacts of movement on chemical uptake rates. Duke Research Data Repository. https://doi.org/10.7924/r4tm7f33j
