Trash Taxonomy
We are compiling marine debris datasets and analyzing them to develop a trash taxonomy framework that will facilitate a number of urgent needs from the trash surveying and remediation communities, including techniques to merge datasets from disparate data cards, and develop new data cards to a level of specificity tailored to user needs, while maximizing cross study comparability. Our structured hierarchy currently combines 33 unique trash survey lists from government, academic, and nonprofit groups.
The next step in this project in the development of an open-access online tool for outside organizations to use the taxonomic framework. This tool will allow users to upload their datasets, create new inter-operable datacards, and download the complete merged dataset. The online tool will have a graphical user interface that is completely open access. Once developed, the tool will be promoted and shared with the global marine debris community.
Students: Win Cowger, Hannah Hapich, Trevor Lok
Allies: Our work on this project part of the Gray Lab's commitment to the 2018 California Ocean Litter Strategy, Action Item 4.1.4: Create a comprehensive litter dataset to identify the most common item types according to volume, weight, flux, material, product, source, brand, and other units of importance, and the California Trash Monitoring Workgroup.
Funding: This project is currently supported in part by a grant from the National Marine Sanctuaries Foundation and USDA Hatch Multistate Project W4170.
The next step in this project in the development of an open-access online tool for outside organizations to use the taxonomic framework. This tool will allow users to upload their datasets, create new inter-operable datacards, and download the complete merged dataset. The online tool will have a graphical user interface that is completely open access. Once developed, the tool will be promoted and shared with the global marine debris community.
Students: Win Cowger, Hannah Hapich, Trevor Lok
Allies: Our work on this project part of the Gray Lab's commitment to the 2018 California Ocean Litter Strategy, Action Item 4.1.4: Create a comprehensive litter dataset to identify the most common item types according to volume, weight, flux, material, product, source, brand, and other units of importance, and the California Trash Monitoring Workgroup.
Funding: This project is currently supported in part by a grant from the National Marine Sanctuaries Foundation and USDA Hatch Multistate Project W4170.