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TEAMER: Modeling, Optimization, and Design Data for a Bio-Inspired Wave Energy Converter

This dataset contains modeling files, computational results, and analysis reports from work focused on the initial optimization and design of a bio-inspired Wave Energy Converter (WEC). Data were produced using tools including WEC-Sim and WecOptTool, with supporting scripts and mo...

Grasberger, J. et al Sandia National Laboratories

Jul 14, 2025
2 Resources
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Control-based optimization for tethered tidal kite

This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting control-based techniques to maximize effectiveness of a tethered tidal kite. Below are the abstracts of each file included in the submission. Cobb...

Vermillion, C. et al North Carolina State University

Mar 02, 2020
3 Resources
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Wave Tank Characterization Data

This data set was collected from a 16k gallon single paddle type wave tank after adjustments were made to the transfer function in the control software. The file names describe the commanded wave height and period which can then be compared with the actual measured height and peri...

Candon, C. et al National Renewable Energy Laboratory

Jul 14, 2023
1 Resources
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TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement Learning (DRL) control in the wave tank. Unlike model-based controls, DRL control is model-free and can directly max...

Zou, S. et al Michigan Technological University

Mar 07, 2025
7 Resources
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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
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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
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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
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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
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CODAS Data from Oliktok Point, Beaufort Sea, Alaska

Cryosphere/Ocean Distributed Acoustic Sensing (CODAS) data collected from the Beaufort Sea, Alaska, using ~37.4 km of dark telecommunications fiber located at Oliktok Point, Alaska. Data were collected with a Silixa iDAS, using 10 m gauge length, 2 m spatial resolution, and 1000 H...

Baker, M. and Abbott, R. Sandia National Laboratories

Aug 08, 2023
23 Resources
1 Stars
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TEAMER: Underwater Target Detection Software Demonstration on the RivGen Turbine

This repository includes data, object detection models, and processing scripts necessary to evaluate the accuracy of the object detection models created for the underwater target detection software demonstration on the RivGen turbine project and to reproduce the performance metric...

Joslin, J. et al MarineSitu

Dec 17, 2024
4 Resources
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Fish Detection AI, Optic and Sonar-trained Object Detection Models

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
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TEAMER: Twin Ocean Power Wave Energy Converter Comprehensive Overview

These files collectively provide a comprehensive overview of the testing process, data analysis, and validation for the Twin Ocean Power device tested at the O.H. Hinsdale Wave Research Laboratory, supported by TEAMER funding. This resource includes an overview of power results f...

Nguyen, J. and Nguyen, N. Twin Ocean Power

Sep 11, 2024
52 Resources
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