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🐬 Data Attribution & Acknowledgments

Data Sources

The acoustic recordings analyzed in the Dolphain project come from the Littoral Acoustic Demonstration Center - Gulf Ecological Monitoring and Modeling (LADC-GEMM) consortium, funded by the Gulf of Mexico Research Initiative (GoMRI).

LADC-GEMM Consortium

Website: http://ladcgemm.org/

Mission: Track marine mammal recovery after the Deepwater Horizon oil spill through acoustic monitoring and ecological modeling.

The LADC-GEMM project deployed autonomous underwater vehicles (gliders), research vessels, and bottom-mounted acoustic recorders (EARS - Ecological Acoustic Recorders) throughout the Gulf of Mexico to:

Gulf of Mexico Research Initiative (GoMRI)

Education Resources: https://education.gulfresearchinitiative.org/
Research Portal: https://research.gulfresearchinitiative.org/
LADC-GEMM Program Page: https://education.gulfresearchinitiative.org/programs/ladc-gemm/

About GoMRI:
The Gulf of Mexico Research Initiative (GoMRI) is investigating the effects of oil spills on the environment and public health. Created in 2010 after the Deepwater Horizon disaster, GoMRI has funded extensive research to understand oil spill impacts on marine ecosystems, oil degradation and fate, ocean circulation, effects on marine life and fisheries, and human health impacts.

Research Project Details

Project ID: 261
Full Title: Littoral Acoustic Demonstration Center - Gulf Ecological Monitoring and Modeling
Funding Source: Year 5-7 Consortia Grants (RFP-IV)
Project Page: View Project Details

Key Contributing Institutions

The LADC-GEMM consortium includes researchers from:

Project Contributors

The LADC-GEMM project involves dozens of researchers, graduate students, and technical staff across multiple institutions. The project has generated:

Notable Research Themes

Dolphain Project Connection

Developer: Michael Haas
Affiliation: University of New Orleans, Department of Physics
Role in LADC-GEMM: Contributing researcher and data analyst

Development Assistance: GitHub Copilot (AI pair programming assistant)

Note: The landing page, documentation, and portions of the codebase were created with assistance from GitHub Copilot, an AI coding assistant. All scientific content, data analysis approaches, and research direction are attributed to Michael Haas.

The Dolphain Python library was developed to facilitate:

Citation

If you use data or methods from this project, please cite:

LADC-GEMM Project:

Littoral Acoustic Demonstration Center - Gulf Ecological Monitoring and Modeling (LADC-GEMM). Funded by the Gulf of Mexico Research Initiative. http://ladcgemm.org/

Gulf of Mexico Research Initiative:

"This research was made possible by a grant from The Gulf of Mexico Research Initiative."
Website: https://gulfresearchinitiative.org/

Dolphain Software:

Haas, M. (2025). Dolphain: A Python toolkit for underwater acoustic analysis.
GitHub: https://github.com/micha2718l/dolphain

Data Access

For access to LADC-GEMM acoustic datasets:

Educational Resources

GoMRI and LADC-GEMM have developed extensive educational materials:

Visit https://education.gulfresearchinitiative.org/programs/ladc-gemm/ for more.

Acknowledgments

The Dolphain project gratefully acknowledges:

"This research was made possible by a grant from The Gulf of Mexico Research Initiative."
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