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--- |
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license: unknown |
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task_categories: |
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- other |
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tags: |
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- mass-spectrometry |
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- proteomics |
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- metabolomics |
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- mscompress |
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size_categories: |
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- n<1K |
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--- |
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# My MSZ Dataset |
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A dataset containing mass spectrometry data in MSZ format. |
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## Dataset Information |
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- **Format**: MSZ (compressed mass spectrometry) |
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- **Number of files**: 1 |
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- **Granularity**: spectrum-level |
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- **Filter**: All MS levels |
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## Files |
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- `test.msz` |
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## Usage |
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This dataset requires the `mscompress` library to load the MSZ files. |
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### Installation |
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```bash |
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pip install mscompress |
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``` |
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### Loading the Dataset |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("my-msz-dataset") |
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# Access spectra |
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for example in dataset["train"]: |
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mz = example["mz"] |
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intensity = example["intensity"] |
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print(f"Spectrum {example['scan_number']}: {len(mz)} peaks") |
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``` |
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### Direct MSZ File Access |
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For more control, you can download and read the MSZ files directly: |
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```python |
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import mscompress |
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from huggingface_hub import hf_hub_download |
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# Download an MSZ file |
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msz_path = hf_hub_download( |
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repo_id="<repo_id>", |
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filename="data/test.msz", |
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repo_type="dataset" |
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) |
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# Read with mscompress |
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msz = mscompress.read(msz_path) |
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# Access spectra with random access |
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spectrum = msz.spectra[0] |
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print(f"m/z: {spectrum.mz}") |
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print(f"Intensity: {spectrum.intensity}") |
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``` |
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## Dataset Structure |
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### Spectrum-level Features |
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- `source_file`: Name of the source MSZ file |
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- `spectrum_index`: Index of the spectrum in the file |
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- `scan_number`: Scan number from the instrument |
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- `ms_level`: MS level (1 for MS1, 2 for MS2/MS3, etc.) |
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- `retention_time`: Retention time in seconds |
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- `num_peaks`: Number of m/z-intensity pairs |
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- `mz`: Array of m/z values |
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- `intensity`: Array of intensity values |
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## Citation |
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If you use this dataset, please cite the mscompress library: |
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``` |
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@software{mscompress, |
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title = {mscompress: High-performance compression for mass spectrometry data}, |
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url = {https://github.com/chrisagrams/mscompress} |
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} |
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``` |
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## License |
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Please check with the dataset creator for license information. |
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