University of Rhode Island 4 articles published in JoVE Environment Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton Patricia S. Thibodeau1, Jongsun Kim2 1Graduate School of Oceanography, University of Rhode Island, 2School of Earth, Environmental and Marine Sciences, The University of Texas - Rio Grande Valley Here, we present a protocol for converting phytoplankton microscopic images into vector graphics and repetitive patterns to enable visualization of shifts in phytoplankton taxa and biomass over 60 years. This protocol represents an approach that can be utilized for other plankton time series and datasets globally. Environment Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island Jongsun Kim1, Myung Hwangbo1, Patricia S. Thibodeau2, Georgia Rhodes3, Emma Hogarth4, Stewart Copeland3,4 1School of Earth, Environmental and Marine Sciences, University of Texas - Rio Grande Valley, 2Graduate School of Oceanography, University of Rhode Island, 3Rhode Island School of Design, 4Department of Art, University of New Mexico Here, we aim to visualize the zonation of biological productivity in Narragansett Bay, Rhode Island, based on the nitrogen mass balance model. The results will inform nutrient management in the coastal regions to reduce hypoxia and eutrophication. Environment Using Generative Art to Convey Past and Future Climate Transitions Basia Marcks1, Zachary Scheinfeld2 1Graduate School of Oceanography, University of Rhode Island, 2Rhode Island School of Design Here, a protocol is presented to visualize climate data as generative art. Biology Histological-Based Stainings Using Free-Floating Tissue Sections Emily M. Potts1, Giuseppe Coppotelli1, Jaime M. Ross1,2 1George & Anne Ryan Institute for Neuroscience, College of Pharmacy, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, 2Department of Neuroscience, Biomedicum, Karolinska Institutet The free-floating technique allows researchers to perform histological-based stainings including immunohistochemistry on fixed tissue sections to visualize biological structures, cell type, and protein expression and localization. This is an efficient and reliable histochemical technique that can be useful for investigating a multitude of tissues, such as brain, heart, and liver.
