Simons CMAP is an open-source data portal designed for retrieving, visualizing, and analyzing diverse ocean datasets including research cruise-based and autonomous measurements of biological, chemical and physical properties, multi-decadal global satellite products, and output from global-scale biogeochemical models. It enables scientists and the public to dive into the vast, and often underutilized, ocean datasets and to view and retrieve customized subsets of these massive datasets without going through the time-consuming process of finding and harmonizing data from different sources.
Participate in CMAP
- Data submitted to Simons CMAP is formatted to maintain high levels of discoverability, comparability, and database performance.
- The data submission toolset provides automated, immediate feedback to assist you in formatting your submission, to facilitate communication with the data curation team, and to allow you to track the progress of your submission.
- Submitted datasets undergo final manual curation thus ensuring the highest quality of data available through Simons CMAP.
Access and download data
- Use the Catalog page to search/filter and select a dataset of interest for download. You can also tag datasets as “favorites” to easily visualize variables of interest via the Charts and Plots visualization page.
- Use the Charts and Plots visualization page to search/filter, select, and plot your variable of interest. You can download the resulting plots or download the data underlying the plots to create your own customized visuals.
- Use the Explore Cruises visualization page to search for a cruise of interest and access all associated data sets from the catalog. From here you can select an associated dataset to download, or tag a dataset as a “favorite” and visualize selected variables from a cruise within the Charts and Plots page.
Retrieve, visualize, and analyze CMAP data sets using your preferred programming language.
- Simons CMAP supports popular programming languages used for data analysis and seamlessly blends into your existing codebase. Review the documentation to discover how to retrieve, visualize, and analyze the CMAP data sets using your preferred language. Please join us and contribute to growing the CMAP data and software ecosystem.
- Contribute to pycmap (Python), cmap4r (R), cmap.jl (Julia), and matcmap (Matlab) github pages
- Provide feedback: email or Slack
How to cite data found in Simons CMAP
- DOI or relevant citations for specific data sets can be found in the Data Catalog or in the retrieved metadata.
How to cite the use of Simons CMAP
- Please cite the paper that describes Simons-CMAP
University of Washington, School of Oceanography:
- Ginger Armbrust, Principal Investigator
- Mohammad D. Ashkezari, Principal Research Scientist
- Tansy Burns, Research Coordinator
- Mike Denholtz, Web Application Developer
- Raphael Hagen, Data Curator
- Rhonda Morales, Research Scientist
University of Washington, Department of Human Centered Design and Engineering:
- Charlotte Lee, Associate Professor
- Andrew Neang, Research Assistant
MIT, Department of Earth, Atmospheric, and Planetary Sciences:
- Mick Follows, Professor and Director, Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
- Chris Hill, Principal Research Engineer