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TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools

This submission contains data collected during a four-month field demonstration (July-October 2024) of MarineSitu's Adaptable Monitoring Package (AMP) at the Pacific Northwest National Laboratory (PNNL) Marine and Coastal Research Laboratory (MCRL) in Sequim, WA. The project evalu...

Murphy, P. et al MarineSitu

Jul 01, 2024
10 Resources
0 Stars
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TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools (Public)

Joslin, J. et al MarineSitu

Aug 21, 2026
6 Resources
0 Stars
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Turbine Lander Deployment in Sequim Bay (2023-2024): Optical and Sonar Records of Animal Interactions

This dataset contains environmental monitoring data collected during the deployment of the Turbine Lander, a small-scale vertical-axis, cross-flow turbine (1.19 m x 0.85 m) in the inlet to Sequim Bay, Washington. The turbine was deployed for 141 days between October 2023 and March...

Bassett, C. and Cotter, E. University of Washington Applied Physics Laboratory

Mar 07, 2024
6 Resources
0 Stars
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TEAMER: Weekly Reports for Environmental Monitoring and Data Analysis around a Tidal Energy Converter in Sequim Bay, WA

This dataset includes weekly reports pertaining to the Turbine Lander and Lander Adaptable Monitoring Package (LAMP) deployments in Sequim Bay, WA (2023-2024). Optical and sonar images and videos pertaining to all identified events of interest have been uploaded to a separate MH...

Murphy, P. et al MarineSitu

Jul 22, 2025
3 Resources
0 Stars
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The PNNL-TUNAMELT Dataset for Automated Detection Around Marine Energy Devices

This labeled dataset contains 107,451 acoustic camera video frames capturing marine life interactions around an underwater tidal turbine. Each frame is annotated with bounding boxes identifying marine life objects as labeled by a fish biologist. Created to support research into au...

Nowak, T. et al Pacific Northwest National Laboratory

Jun 01, 2025
4 Resources
1 Stars
Curated

Fish Detection AI, Optic and Sonar-trained Object Detection Models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
0 Stars
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Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) Dataset

The dataset contains the data from the field deployment of the Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) system at PNNL-Sequim test site in 2017. The dataset contains scanning of manmade models of baracuda and turtles as well as technical target placed in the field of v...

Dalgleish, F. and Ouyang, B. Florida Atlantic University

Sep 22, 2023
9 Resources
0 Stars
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H3 StingRAY Final Design and Technical Report Section 13 Appendices

These documents are referenced in the public version of the H3 StingRAY Final Design and Technical Report (Linked Dataset can be found in Resources section, below), and are submitted separately to allow for public release of head document. The display names have the corresponding ...

Lenee-Bluhm, P. and Prudell, J. Columbia Power Technologies, Inc.

Sep 15, 2023
53 Resources
0 Stars
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