five

Data from: A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey

收藏
DataCite Commons2025-06-01 更新2025-06-15 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.d5h62
下载链接
链接失效反馈
官方服务:
资源简介:
The National Health and Nutrition Examination Survey (NHANES) is a population survey implemented by the Centers for Disease Control and Prevention (CDC) to monitor the health of the United States whose data is publicly available in hundreds of files. This Data Descriptor describes a single unified and universally accessible data file, merging across 255 separate files and stitching data across 4 surveys, encompassing 41,474 individuals and 1,191 variables. The variables consist of phenotype and environmental exposure information on each individual, specifically (1) demographic information, physical exam results (e.g., height, body mass index), laboratory results (e.g., cholesterol, glucose, and environmental exposures), and (4) questionnaire items. Second, the data descriptor describes a dictionary to enable analysts find variables by category and human-readable description. The datasets are available on DataDryad and a hands-on analytics tutorial is available on GitHub. Through a new big data platform, BD2K Patient Centered Information Commons (http://pic-sure.org), we provide a new way to browse the dataset via a web browser (https://nhanes.hms.harvard.edu) and provide application programming interface for programmatic access.

全国健康与营养检查调查(National Health and Nutrition Examination Survey,NHANES)是由美国疾病控制与预防中心(Centers for Disease Control and Prevention,CDC)实施的人群健康监测项目,其原始数据以数百个独立文件的形式公开发布。本数据说明文档介绍了一份统一且全域可访问的整合数据文件:该文件整合了255个独立文件的内容,拼接了4项调查的数据集,涵盖41474名受访者与1191个变量。变量内容涵盖每名受访者的表型与环境暴露信息,具体包括:(1) 人口统计学信息、体格检查结果(如身高、身体质量指数)、实验室检测结果(如胆固醇、血糖及环境暴露相关指标),以及(4) 问卷项目。其次,本数据说明文档配套了一套变量检索词典,便于分析人员依据类别及通俗易懂的描述信息快速定位目标变量。该数据集可在DataDryad平台获取,配套的实操分析教程则可在GitHub平台获取。依托BD2K患者中心信息共享平台(BD2K Patient Centered Information Commons,http://pic-sure.org),我们提供了一种全新的网页端数据集浏览方式(访问地址:https://nhanes.hms.harvard.edu),同时开放应用程序编程接口(Application Programming Interface,API)以支持程序化数据访问。
提供机构:
Dryad
创建时间:
2016-10-24
二维码
社区交流群
二维码
科研交流群
商业服务