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to reserve a value or range of values for use by your filters.</td>
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</tr>
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<tr>
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<td><code>32,768-65,535</code></td>
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<td>Filter values in this range are designated for internal company use or
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application testing when assessing a feature. The HDF Group does not
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track or document the use of filters within this range.</td>
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</tr>
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</table>
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| Filter Identifier Values | Description |
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|--------------------------|-------------|
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|`0-255`| These values are reserved for filters predefined and registered by the HDF5 library and of use to the general public. |
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|`256-511`| Filter values in this range are intended for testing only and can be temporarily used by any organization. No attempts are made to resolve numbering conflicts, as all definitions are temporary. |
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|`512-32,767`| Filter values within this range are designated for filters managed by The HDF Group, but they are nominally requested, developed, and supported by third parties. Please contact the [HDF5 development team](mailto:[email protected]) to reserve a value or range of values for use by your filters. |
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|`32,768-65,535`| Filter values in this range are designated for internal company use or application testing when assessing a feature. The HDF Group does not track or document the use of filters within this range. |
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List of Filters Registered with The HDF Group
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---------------------------------------------
@@ -85,7 +62,7 @@ List of Filters Registered with The HDF Group
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|32029 |<ahref="#trpx">TERSE/PROLIX</a> |A lossless and fast compression of the diffraction data|
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|32030 |<ahref="#ffmpeg">FFMPEG</a> |A lossy compression filter based on ffmpeg video library|
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> [!NOTE]
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> [!NOTE]
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> Please contact the maintainer of a filter for help with the filter/compression support in HDF5.
@@ -651,13 +628,13 @@ Charlie Zender (University of California, Irvine)
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#### Filter Description:
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SZ3 is a modular error-bounded lossy compression framework for scientific datasets, which allows users to customize their own compression pipeline to adapt to diverse datasets and user-requirements. Compared with SZ2 (filter id: 32017), SZ3 has integrated a more effective prediction such that its compression qualities/ratios are much higher than that of SZ2 in most of cases.
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SZ3 is a modular error-bounded lossy compression framework for scientific datasets, which allows users to customize their own compression pipeline to adapt to diverse datasets and user-requirements. Compared with SZ2 (filter id: 32017), SZ3 has integrated a more effective prediction such that its compression qualities/ratios are much higher than that of SZ2 in most of cases.
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#### Filter Information:
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This filter is documented, implemented, and maintained in github: https://github.com/szcompressor/SZ3.
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