Abstract:

All the data was collected from series of jar tests using the mineral (kaolinite and bentonite) and EPS (extracellular polymeric substances) for simulating the artificial biological cohesion/stickiness. These data includes floc characteristics (eg., densities, settling velocities, sizes) and images of EPS-OMA generated by EPS, mineral and crude oil. For floc observation, LabSFLOC-2 system, digital microscope was used. This dataset supports the publication: Ye, Leiping, Andrew J. Manning, James Holyoke, Jorge A. Penaloza-Giraldo and Tian-Jian Hsu. 2021. The Role of Biophysical Stickiness on Oil-Mineral Flocculation and Settling in Seawater. Frontiers in Marine Science, 8. DOI:10.3389/fmars.2021.628827.

Suggested Citation:

Ye, Leiping, Tian-Jian Hsu, and Andrew Manning. 2021. Dataset for: The Role of Biophysical Stickiness on Oil-Mineral Flocculation and Settling in Seawater. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-0nav-gs95

Publications:

Ye, L., Manning, A. J., Holyoke, J., Penaloza-Giraldo, J. A., & Hsu, T.-J. (2021). The Role of Biophysical Stickiness on Oil-Mineral Flocculation and Settling in Seawater. Frontiers in Marine Science, 8. doi:10.3389/fmars.2021.628827

Purpose:

The purpose of this study is to determine the influence EPS has on oil-mineral flocculation.

Data Parameters and Units:

Settling velocities (mm/s), Sediment particle sizes (μm), Floc numbers, Floc sizes (μm), Densities, Shape/sizes; Fractal

Methods:

Labsfloc2 camera system collecting the sediment floc data; Microscope for floc images

Instruments:

Labsfloc2 camera

Individual Files: