The Health and Retirement Study Contextual Data Resource (HRS-CDR) is a collection of user-friendly datasets that enable researchers to study the impact of place on health and well-being among HRS respondents.
This HRS-CDR data product was created by a joint project of the University of Southern California and the University of Michigan, sponsored by the National Institute on Aging (NIA_R21AG045625).
The National Park Service (NPS) Geospatial Sound Modeling Files contain three measurements of sound, including average noise level from all sources, average noise level from natural sources (e.g., non-human), average noise level from impact (e.g., human) sources calculated by subtracting the noise level from natural sources from the noise level from all sources. For each measure, NPS predicts values for a typical summer daytime hour using input from 2013-2015. Data are available at the census tract level.
Product Details
| Product Type | HRS Contextual Data Resource Series (HRS-CDR) |
|---|---|
| Latest Release | April 2024 (version date 20240401) |
| Version Notes | This is the first release for this data product. |
| Documentation and Links |
- HRS Contextual Data Resources are available only to users of the MiCDA Enclave VDI, and are only available for use with restricted data geographic information products.
- The geographic information contained in the merged dataset is not included in any HRS public file and may not be merged with any other Restricted Data Set without the explicit written permission of HRS.