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_LICENSE_

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+VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution is licensed under CC BY-SA 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-sa/4.0/

_README_

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+This dataset is released in conjunction with the paper "VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution"
+
+The VoDaSuRe dataset consists of 32 volumetric scans of 16 samples acquired using laboratory CT (Lab-CT). It includes:
+- High-resolution (HR) volumes
+- Low-resolution (LR) volumes (unregistered)
+- Registered and intensity-matched low-resolution (REG) volumes
+
+For details on the features of VoDaSuRe, see the links below:
+1. Project page - https://augusthoeg.github.io/VoDaSuRe/
+2. ArXiv paper - https://arxiv.org/abs/2603.23153
+3. GitHub repository (frameworks, pipelines, data loaders) - https://github.com/AugustHoeg/VoxelSR
+
+--------
+
+The dataset contains training and test splits stored under the "ome/train" and "ome/test" subfolders. 
+
+All data is stored in the OME-Zarr format, a hierarchical, chunked storage format that supports efficient and lazy loading.
+
+Each .zarr file has the following structure:
+
+ome.zarr
+├── HR  (High-resolution volume)
+│   ├── 0  (full resolution)
+│   ├── 1  (2× downsampled)
+│   ├── 2  (4× downsampled)
+│   └── 3  (8× downsampled)
+│
+├── LR  (Unregistered low-resolution volume)
+│   ├── 0  (full resolution)
+│   ├── 1  (2× downsampled)
+│   ├── 2  (4× downsampled)
+│   └── 3  (8× downsampled)
+│
+└── REG (Registered + intensity-matched low-resolution volume)
+    ├── 0  (full resolution)
+    └── 1  (2× downsampled)
+
+---------
+
+To download the data, click on a chosen file/folder, then click the download button in the top right corner.
+
+Alternatively, the data can be easily fetched through the command line, for example with:
+> wget https://archive.compute.dtu.dk/downloads/public/projects/VoDaSuRe
+
+The data should be decompressed before use:
+> cd VoDaSuRe && bash extract_files.sh
+
+Note: The full dataset requires approximately 500 GB of disk space.
+
+---------
+
+If you use our dataset, please cite our work:
+
+@article{hoeg2026vodasure,
+  title={VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution},
+  author={August Leander Høeg and Sophia Wiinberg Bardenfleth and Hans Martin Kjer and Tim Bjørn Dyrby and Vedrana Andersen Dahl and Anders Dahl},
+  journal={Proceedings of the Computer Vision and Pattern Recognition Conference},
+  year={2026},
+  url={https://augusthoeg.github.io/VoDaSuRe/}
+}
+

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