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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 1,094 Results
healthd_hhinco_mortality_cont.zip
Jun 28, 2025 - SpaCE: The Spatial Confounding Environment
ZIP Archive - 4.4 MB - MD5: d2695adb2cc8217c7a64d71bc1ab3f88
This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": ["qd_mean_pm25", {"race": ["cs_hispanic", "cs_black", "cs_white", "cs_native", "cs_asian"]}, "cs_other", "cs_population_den...
healthd_pollutn_mortality_cont.zip
Jun 28, 2025 - SpaCE: The Spatial Confounding Environment
ZIP Archive - 4.2 MB - MD5: f0cd4078d30d6c424dcd8d5b4f3c583c
This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": [{"poverty": ["cs_poverty", "cs_ed_below_highschool"]}, {"race": ["cs_hispanic", "cs_black", "cs_white", "cs_native", "cs_a...
zcta_age_broadband_cont.zip
Jun 28, 2025 - SpaCE: The Spatial Confounding Environment
ZIP Archive - 26.1 MB - MD5: f01472f49dc67fa9b5de8483006a1bd7
This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": [{"race": ["pct_white", "pct_black", "pct_asian"]}, {"population": ["pop_dens"]}, {"poverty": ["log_median_income", "pct_hi...
zcta_income_broadband_disc.zip
Jun 28, 2025 - SpaCE: The Spatial Confounding Environment
ZIP Archive - 6.2 MB - MD5: 232eba43a5d294b7ad288cf5c6f56893
This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": [{"race": ["pct_white", "pct_black", "pct_asian"]}, {"population": ["pop_dens"]}, {"age": ["pct_age_under_5", "pct_age_5_9"...
cdcsvi_nohsdp_poverty_cont.zip
Jun 24, 2025 - SpaCE: The Spatial Confounding Environment
ZIP Archive - 8.6 MB - MD5: f09396ca5c80fe40f37e82591ce29194
This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": ["EP_UNEMP", "EP_AGE65", "EP_AGE17", "EP_DISABL", "EP_SNGPNT", "EP_LIMENG", "EP_MINRTY", "EP_MUNIT", "EP_NOVEH", "EP_NOINT"...
healthd_dmgrcs_mortality_disc.zip
Jun 24, 2025 - SpaCE: The Spatial Confounding Environment
ZIP Archive - 965.8 KB - MD5: eed8c6e01f527db27c5aac63c29788e6
This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": ["qd_mean_pm25", {"poverty": ["cs_poverty", "cs_ed_below_highschool"]}, "cs_population_density", "cdc_mean_bmi", {"smoking"...
Spatial Aggregations of USHAP PM2.5 dataset
May 19, 2025
Kaur, Mahima, 2025, "Spatial Aggregations of USHAP PM2.5 dataset", https://doi.org/10.7910/DVN/4GDRB1, Harvard Dataverse, V1
USHAP (US High Air Pollutants) is a high-resolution, full-coverage dataset of ground-level air pollution across the U.S. from 2000 to 2020 (Wei et al., LPH, 2023). USHAP integrates ground measurements, satellite observations, reanalysis data, and model outputs using Artificial Intelligence techniques that account for the spatiotemporal complexity o...
Data_Dictionary.pdf
Data_Dictionary.pdf
May 19, 2025 - Spatial Aggregations of USHAP PM2.5 dataset
Adobe PDF - 43.6 KB - MD5: afedb758f69ff9dea68304c60b42e2c4
Documentation
This document provides a comprehensive data dictionary for the PM2.5 USHAP dataset, detailing variable definitions, file naming conventions, and temporal coverage
Dataset Readme.pdf
Dataset Readme.pdf
May 19, 2025 - Spatial Aggregations of USHAP PM2.5 dataset
Adobe PDF - 193.2 KB - MD5: 8419737e0debc0d0610372cd0a142987
Documentation
pm25__ushap__zcta_daily__2000.parquet
May 19, 2025 - Spatial Aggregations of USHAP PM2.5 dataset
Unknown - 93.5 MB - MD5: 02cf34a06c0b98fba633f0f050e8af21
Data
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.