The NSAPH Subcollection, part of the Climate-Health CAFÉ Dataverse, features data contributions from the National Studies on Air Pollution and Health (NSAPH) group based at the Harvard T.H. Chan School of Public Health.

This subcollection is focused on providing datasets related to air pollution, climate change, and public health. These datasets result from NSAPH's work in studying the environmental impacts on health outcomes and regulatory policy.

Instructions

The NSAPH Subcollection is open for reuse of the general public, but contributions are restricted to NSAPH collaborators. Instructions for NSAPH collaborators that want to upload datasets are offered in the CAFÉ Dataverse upload instructions.

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81 to 90 of 1,094 Results
pm25__ushap__zcta_yearly__2019.parquet
May 19, 2025 - Spatial Aggregations of USHAP PM2.5 dataset
Unknown - 461.2 KB - MD5: e32e2d4c9a4a6bae157f182192de6acc
Data
pm25__ushap__zcta_yearly__2020.parquet
May 19, 2025 - Spatial Aggregations of USHAP PM2.5 dataset
Unknown - 467.6 KB - MD5: 18bdfc0b19c89ee896f40e11042ccc19
Data
County and ZCTA-Aggregated U.S. gridMET variables
May 14, 2025
Kitch, James, 2025, "County and ZCTA-Aggregated U.S. gridMET variables", https://doi.org/10.7910/DVN/3PP3ZE, Harvard Dataverse, V1
Dataset Description This dataset contains aggregated meteorological variables for U.S. counties and ZIP Code Tabulation Areas (ZCTAs) derived from the gridMET dataset. The gridMET product combines high-resolution spatial climate data (e.g., temperature, precipitation, humidity) from the PRISM Climate Group with daily temporal attributes and additio...
meteorology__gridmet__county_daily__2000.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 61.0 MB - MD5: 95fbe5c914aa26094031f399f0cec51a
meteorology__gridmet__county_daily__2001.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 60.7 MB - MD5: eab2d0f4de7d34af214b28314a87e9b0
meteorology__gridmet__county_daily__2002.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 60.8 MB - MD5: 8aae57b5f334c8820c6a2422329e3b91
meteorology__gridmet__county_daily__2003.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 60.9 MB - MD5: 21098bec3516840c2cfa707b3e56ff69
meteorology__gridmet__county_daily__2004.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 61.1 MB - MD5: 6fd6271a330d113a68f9d508c4674391
meteorology__gridmet__county_daily__2005.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 60.9 MB - MD5: 794bb11b183b656f83fe2dffcb7cc622
meteorology__gridmet__county_daily__2006.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 61.0 MB - MD5: 17bc17b6665c5041262e34536fa29ad2
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