囊性纤维化儿童家庭空气污染研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT07665203

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Cystic Fibrosis (CF). Cystic Fibrosis (CF) is a devastating chronic pulmonary disease that continues to cause significant morbidity and mortality despite great advances in therapies. Hispanic children with CF have worse outcomes, including higher mortality and more severe pulmonary disease, than non-Hispanic white children with CF. It is not known why Hispanic children with CF have more severe disease as it is not explained by CFTR genetic severity, diagnosis age, or socioeconomic status. The health disparities have worsened, not improved, for Hispanic children with CF since the development of new disease-altering therapeutics, CFTR modulators. It is critical to determine what is contributing to lung disease severity in Hispanic children with CF. Non-genetic factors, including environmental exposures, are estimated to account for 50% of lung disease severity variability in CF. Air pollution exposure during early childhood is associated with lower pulmonary function in healthy children and severe lung disease in children with asthma. However, air pollution exposure is vastly understudied in other chronic pulmonary diseases of childhood, such as CF. Investigating air pollution exposure in CF may provide vital information about the drivers of health disparities in Hispanic children with CF and about the environmental exposures influencing lung disease severity across all children with CF. To investigate air pollution exposure in children with CF, the investigators have assembled a multidisciplinary team of international experts in air pollution exposure, CF lung disease, health disparities, and pulmonary microbiome. The investigators will use two phenomenally rich databases, the CF Foundation Patient Registry and the University of Washington Spatiotemporal Air Pollution Exposure Model, to investigate the first aim: 1A) To determine whether neighborhood-level ambient air pollution exposure during childhood differs between 1500 Hispanic and 8500 non-Hispanic white cwCF in the CF Foundation Pa

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。