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Triton Field Trials Changes in Habitat 360-degree Underwater Videos

This dataset contains the underwater 360-degree video files recorded with a Boxfish 360 camera in La Jolla, CA, near a gravity base anchor of the CalWave xWave wave energy converter in December 2021 over three days, at dawn, noon, and dusk. It was generated to test the ability of ...
Hemery, L. et al Pacific Northwest National Laboratory
Nov 30, 2021
10 Resources
0 Stars
Publicly accessible

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

Bench Testing Data and Report for an Early Prototype Pitch Resonator WEC

This dataset encompasses data and documentation from bench tests conducted on an early prototype of a "pitch resonator" wave energy converter (WEC). The testing aimed to validate numerical models and reduce risks associated with the pitch resonator concept, which is designed to co...
Coe, R. et al Sandia National Laboratories
Aug 09, 2024
4 Resources
0 Stars
Publicly accessible

M3 Wave DMP/APEX WEC Wave Tank Testing Final Raw Dataset

Complete dataset from wave tank testing for the Delos-Reyes Morrow Pressure Device (DMP), commercialized by M3 Wave LLC as "APEX". Subdirectories include Readme files where appropriate to aid in navigation.
Morrow, M. et al M3 Wave
Sep 01, 2017
2 Resources
0 Stars
Publicly accessible

MHKDR Data Management and Best Practices for Submitters and Curators

Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for dev...
Weers, J. et al National Laboratory of the Rockies
Dec 15, 2021
3 Resources
0 Stars
Curated

Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Year 3 Software and Data

This dataset contains software, sensor data, and experimental recordings generated during Year 3 of a DOE-funded project focused on the co-design of marine energy converters and autonomous underwater vehicle (AUV) docking and recharging systems. Data were collected during experime...
Hollinger, G. et al Oregon State University
Jul 24, 2025
7 Resources
0 Stars
Curated

Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Year 4 Software and Data

This dataset contains software, sensor data, and experimental recordings generated during Year 4 of a DOE-funded project focused on the co-design of marine energy converters and autonomous underwater vehicle (AUV) docking and recharging systems. The data were collected during expe...
Hollinger, G. et al Oregon State University
Oct 15, 2025
9 Resources
0 Stars
Curated

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
Curated

Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Years 1 and 2 Software and Data

Software and testing data from the OH Hinsdale Wave lab for DOE-funded project on Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging. This project will perform foundational research and testing to accelerate the sector-wide development a...
Hollinger, G. et al Oregon State University
Oct 26, 2022
14 Resources
0 Stars
Curated

Fish Detection AI, sonar image-trained detection, counting, tracking 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 ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
6 Resources
0 Stars
Curated