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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161 to 170 of 1,094 Results
meteorology__gridmet__zcta_yearly__2014.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.5 MB - MD5: acc0fb0d4e8814a281fae79cf1bc8e10
meteorology__gridmet__zcta_yearly__2015.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.5 MB - MD5: 2eb868a2909b5c9fdec320fe78528654
meteorology__gridmet__zcta_yearly__2016.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.4 MB - MD5: d9b97b221689054fc9ed755c1ebec069
meteorology__gridmet__zcta_yearly__2017.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.5 MB - MD5: 57a7d58d52478bd681a47eba7ec61dd5
meteorology__gridmet__zcta_yearly__2018.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.5 MB - MD5: 036c9d760f30228f83f559f3b5f043a6
meteorology__gridmet__zcta_yearly__2019.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.5 MB - MD5: cf35918c0586a5941909d67585699b8e
meteorology__gridmet__zcta_yearly__2020.parquet
May 14, 2025 - County and ZCTA-Aggregated U.S. gridMET variables
Unknown - 2.4 MB - MD5: 0e6a4938005c7c97c6674b242ac8b3b3
Five-year dataset depicting electric power generation and CO2 emissions within the U.S. electricity sector, spanning from July 2018 to June 2023
Feb 6, 2025
Biswas, Arpita; Daniel Mork; Minghao Qiu; Danielle Braun; Francesca Dominici, 2023, "Five-year dataset depicting electric power generation and CO2 emissions within the U.S. electricity sector, spanning from July 2018 to June 2023", https://doi.org/10.7910/DVN/OKEATQ, Harvard Dataverse, V3, UNF:6:+OzALX7cCvNx6Ez7Zsv1kw== [fileUNF]
These datasets, namely .csv, are snapshots of the regional datasets published by the U.S. Energy Information Administration (EIA) between July 1, 2018 and June 30, 2023. EIA publishes hourly operational data across the United States electricity grid, including demand, net generation of electricity from various sources (such as coal, natural gas, so...
code.zip
Feb 6, 2025 - Five-year dataset depicting electric power generation and CO2 emissions within the U.S. electricity sector, spanning from July 2018 to June 2023
ZIP Archive - 4.6 MB - MD5: 6d315d8cb4ea0d26b17bd4fb0d2176d2
The code to estimate the time-lagged effect of increased hourly solar generation on hourly change in CO2 emissions using treed distributed lag model.
Co-exposure patterns of heat, wildfire, and wildfire smoke in Western US
Dec 26, 2024
Hu, Kate; Trisovic, Ana; Ankita Bakshi, 2024, "Co-exposure patterns of heat, wildfire, and wildfire smoke in Western US", https://doi.org/10.7910/DVN/9VDUAP, Harvard Dataverse, V2
We provide data on three heat-related natural hazards: extreme heat, wildfire burn zones, and wildfire smoke from 2006-2020 in eleven Western US states.
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