5:15 PM - 7:15 PM
[AOS20-P01] Visualizing the stable isotope distribution of seawater around Japan and the world, and release of an interactive web application.
Keywords:seawater, stable oxygen isotope, database, web app, visualization
I have launched a website to provide an easy-to-use visualization of oceanographic data from around Japan and the global ocean, and have published a web application that can be used interactively on the site (https://seawater.jpn.org).
Ishimura et al. (2018 Geochemical Society of Japan) reported on a project to understand the seasonal and interannual variability in the relationship between d18O and salinity by starting to sample surface and vertical seawater over a wide area in the Sea of Japan and the East China Sea. The project was continued, and eventually, more than 2000 surface and vertical seawater samples were collected from around Japan between 2015 and 2021, and reported in Kodama et al. (2024, Geochemical Journal).
While such a large dataset is expected to be used in various fields, including oceanography, earth science, and fisheries, there are difficulties in terms of convenience for users to select and visualize the data if the raw data are only presented in the paper or distributed from the data site.
Therefore, I developed an interactive system for data extraction and visualization from a user-centered perspective, with the aim of visualizing data with as simple an operation as possible and contributing to the rapid utilization of dataset. I used Python and Streamlit (a web application development framework) to develop a web application and construct an interactive and intuitive operation system.
The current dataset includes d18O, dD, water temperature, salinity, latitude, longitude, water depth, date, and cruise name, and it is possible to set the data range for each element (latitude, longitude, region, depth, year, month, salinity, etc.) on the application and draw the required data sets in 2D/3D/4D. It is also possible to instantly calculate the salinity-d18O relationship for each selected area, and to draw T-S diagrams for selected area and depth.
As of February 2025, I have combined seawater isotope data reported around Japan, and have also added approximately 20,000 data from NASA's seawater isotope database (Schmidt et al., 1999: https://data.giss.nasa.gov/o18data/), making it possible to visualize oceanographic data for a wide area around Japan and also all over the world. A key challenge is maintaining the data release on the web at an individual level, but I plan to continue to improve the system and expand the data based on user feedback.
Ishimura et al. (2018 Geochemical Society of Japan) reported on a project to understand the seasonal and interannual variability in the relationship between d18O and salinity by starting to sample surface and vertical seawater over a wide area in the Sea of Japan and the East China Sea. The project was continued, and eventually, more than 2000 surface and vertical seawater samples were collected from around Japan between 2015 and 2021, and reported in Kodama et al. (2024, Geochemical Journal).
While such a large dataset is expected to be used in various fields, including oceanography, earth science, and fisheries, there are difficulties in terms of convenience for users to select and visualize the data if the raw data are only presented in the paper or distributed from the data site.
Therefore, I developed an interactive system for data extraction and visualization from a user-centered perspective, with the aim of visualizing data with as simple an operation as possible and contributing to the rapid utilization of dataset. I used Python and Streamlit (a web application development framework) to develop a web application and construct an interactive and intuitive operation system.
The current dataset includes d18O, dD, water temperature, salinity, latitude, longitude, water depth, date, and cruise name, and it is possible to set the data range for each element (latitude, longitude, region, depth, year, month, salinity, etc.) on the application and draw the required data sets in 2D/3D/4D. It is also possible to instantly calculate the salinity-d18O relationship for each selected area, and to draw T-S diagrams for selected area and depth.
As of February 2025, I have combined seawater isotope data reported around Japan, and have also added approximately 20,000 data from NASA's seawater isotope database (Schmidt et al., 1999: https://data.giss.nasa.gov/o18data/), making it possible to visualize oceanographic data for a wide area around Japan and also all over the world. A key challenge is maintaining the data release on the web at an individual level, but I plan to continue to improve the system and expand the data based on user feedback.