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Documentation Index

Fetch the complete documentation index at: https://mintlify.com/dfki-ric/uxo-dataset2024/llms.txt

Use this file to discover all available pages before exploring further.

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Citing This Dataset

When using this dataset or the code used to process it, please cite the following paper:
Proper citation helps acknowledge the work of the researchers and enables others to find the original research.

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Publication Details

The UXO Dataset 2024 was presented at OCEANS 2024 - Halifax. Authors: Nikolas Dahn, Miguel Bande Firvida, Proneet Sharma, Leif Christensen, Oliver Geisle, Jochen Mohrmann, Torsten Frey, Prithvi Kumar Sanghamreddy, and Frank Kirchner Title: An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO) Conference: OCEANS 2024 - Halifax Year: 2024 DOI: 10.1109/OCEANS55160.2024.10754316

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BibTeX Entry

Use the following BibTeX entry for citations: 
@INPROCEEDINGS{dahn2024uxo,
  author={Dahn, Nikolas and Firvida, Miguel Bande and Sharma, Proneet and Christensen, Leif and Geisle, Oliver and Mohrmann, Jochen and Frey, Torsten and Kumar Sanghamreddy, Prithvi and Kirchner, Frank},
  title={An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)}, 
  booktitle={OCEANS 2024 - Halifax}, 
  year={2024},
  doi={10.1109/OCEANS55160.2024.10754316}
}
Copy the BibTeX entry above directly into your reference manager or LaTeX document.
The dataset and associated resources are available at the following locations:

Dataset Repository

Download the complete dataset from Zenodo

Code Repository

Access export scripts and preprocessing tools

Research Paper

Read the full paper on ResearchGate

DOI Reference

Official IEEE publication DOI

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Attribution Guidelines

When using the UXO Dataset 2024 in your work, please:

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For Academic Publications

  1. Cite the paper using the BibTeX entry provided above
  2. Acknowledge the dataset by name in your methodology section
  3. Include the Zenodo link for dataset access

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For Software and Code

  1. Include the citation in your README or documentation
  2. Link to the dataset repository on Zenodo
  3. Mention the license terms if redistributing derivative works

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For Presentations and Posters

  1. Reference the authors and publication year
  2. Include the dataset name: “UXO Dataset 2024”
  3. Provide access information: Zenodo link or QR code

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Example Citations

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In-Text Citation (IEEE Style)

We evaluated our UXO detection algorithm using the dataset presented in [1].

[1] N. Dahn et al., "An Acoustic and Optical Dataset for the Perception of 
Underwater Unexploded Ordnance (UXO)," in OCEANS 2024 - Halifax, 2024.

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Acknowledgment Section

This research used the UXO Dataset 2024, available at 
https://zenodo.org/records/13778485, as described in Dahn et al. (2024).

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Data Availability Statement

The data supporting this study are openly available from Zenodo at 
https://zenodo.org/records/13778485 [1].

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Research Contributions

The dataset was developed by researchers from:
  • DFKI GmbH - Robotics Innovation Center
  • Various academic and research institutions
The dataset represents collaborative work to address the critical challenge of underwater UXO detection and salvage.

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Questions and Support

For questions about the dataset or its usage:
  1. Check the GitHub repository for documentation and examples
  2. Review the paper for detailed methodology
  3. Open an issue on the GitHub repository for technical questions

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License and Terms of Use

Please refer to the dataset repository on Zenodo for:
  • License information
  • Terms of use
  • Any restrictions on commercial use
  • Redistribution guidelines
Always review and comply with the dataset license terms before using the data in your research or applications.

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