哈佛衰老脑研究公共数据集

数据集获取

源站：https://synapse.org/Synapse:syn53910452

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

###This repository is under review for potential modification in compliance with Administration directives. ####!Notice: In response to requirements from 28 CFR Part 202 we have updated our DUA and data request process. With these changes in place we are now accepting new data requests. The DUA contains two new sections (XII and XIII) that govern requesters use and access to data, and we have included a specific attestation regarding covered persons and countries of concern. The new DUA and attestation apply to current data access. This means that in order for a previously approved requester to access any of the files in the project, they will need to re-request access to the dataset using the new request process, which includes attestations and agreement to the terms of the updated DUA. Sincerely, -The Harvard Aging Brain Study Team. ${image?fileName=habs%5Flogo%5Ftrimmed%2Ejpg&align=Center&scale=100&responsive=true&altText=} The overall goal of the Harvard Aging Brain Study (HABS) is to elucidate the earliest changes in molecular, functional and structural imaging markers that signal the transition from normal cognition to progressive cognitive decline along the trajectory of preclinical Alzheimer’s Disease. As the study enters its’ fifteenth year we are proud to extend on our commitment to public data sharing with the release public of the third set of HABS data. The third HABS public data release is an important data release that provides access to raw neuroimaging data as well as longitudinal data from baseline through the 11th year of follow-up. For details on precisely what is included in this data release please visit the data details page. If you have any questions please feel free to contact habsdata@mgh.harvard.edu. ${image?fileName=Logos5%2Epng&align=Center&scale=50&responsive=true&altText=} Contact Us For specific questions about and guidance on the use of the HABS public dataset please use the build in discussion [forum](https://www.synapse.org/Syn

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。