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Includes biomedical voice recordings, MRI brain imaging, \nAlzheimer's and Parkinson's disease biomarkers, epilepsy seizures, ADHD symptoms, dopamine and serotonin measurements, \ncognitive impairment, brain size across species, sleep studies, PTSD, migraine treatment, and more from curated R packages on CRAN.\n\n## Installation\nYou can install the `neurodatasets` package from PyPI:\n```bash\npip install neurodatasets\n```\n\n## Usage\n```python\n\nimport neurodatasets as nd\n\n# List all available datasets\n\ndatasets = nd.list_datasets()\nprint(datasets)\n\n# Load a specific dataset\n\ndf = nd.load_dataset('encephalitis_herpes')\nprint(df.head())\n\n# Describe dataset\n\ndf_01 = nd.describe('sleep_study_college')\nprint(df_01)\n\n```\n\n## 📊 Some Available Datasets\n\n| Dataset | Description | \n|---------|-------------|\n| `gray_matter_patterns` | This dataset contains expected patterns of gray matter derived from large-scale meta-analyses by the ENIGMA consortium.| \n| `white_matter_patterns` | This dataset contains expected patterns of white matter derived from large-scale meta-analyses by the ENIGMA consortium.| \n| `encephalitis_herpes` | This dataset contains cases of herpes encephalitis in children observed in Bavaria and Lower Saxony between 1980 and 1993.| \n| `sleep_study_college` | This dataset contains data on sleep patterns and academic performance for college students.| \n| `alzheimer_smoking` | This dataset contains smoking history and disease classification from a case-control study on Alzheimer's disease.| \n| `brain_size_iq` | This dataset contains brain size, IQ scores and gender data from psychology students for intelligence research.| \n| `mammal_brains` | This dataset contains brain weight, body weight, gestation length and litter size across 96 mammal species.| \n| `chimp_brains` | This dataset contains Brodmann's area 44 asymmetry measurements in chimpanzees by sex.| \n\n\n\u003e Run `neurodatasets.list_datasets()` or `nd.list_datasets()` (using `nd` as alias) to see the full list of available datasets.\n\n## Disclaimer\n\nThe datasets included in `neurodatasets` are provided strictly for educational,\nresearch, and informational purposes. All datasets originate from curated R packages\navailable on CRAN and retain their original licenses and attributions.\n\nThe author of `neurodatasets` makes no warranties, express or implied, regarding\nthe accuracy, completeness, or suitability of any dataset for a particular purpose.\nUsers are solely responsible for ensuring that their use of these datasets complies\nwith applicable laws, regulations, and ethical guidelines.\n\nAny findings, conclusions, or decisions derived from the use of these datasets\nare the sole responsibility of the user. The author shall not be held liable for\nany direct, indirect, incidental, or consequential damages arising from the use\nor misuse of the datasets included in this library.\n\nFor clinical, diagnostic, or medical decision-making purposes, always consult\nqualified healthcare professionals.\n\n\n## License\n\nThe `neurodatasets` library is released under the **GPL-3.0**, which allows free use, \nmodification, and distribution, provided that any derivative work is also released \nunder the same GPL-3.0 license. See the [LICENSE](LICENSE) file for details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flightbluetitan%2Fneurodatasets-py","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flightbluetitan%2Fneurodatasets-py","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flightbluetitan%2Fneurodatasets-py/lists"}