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

1,061 to 1,070 of 1,072 Results
fit1_x.random.RData
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 5.4 MB - MD5: c7abfb31707cecbda193624e290ecdf3
Stanfit object for additional analysis 1: ecological regression without individual-level data up to Dec 1, 2020
fit2.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 12.9 MB - MD5: e9feed39f96ac73a5c57e4a1c7e68bec
Stanfit object for sensitivity analysis 2
fit3.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 12.4 MB - MD5: 747ef7b1da18ba91c3a913659d056c4b
Stanfit object for sensitivity analysis 3
fit4.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 17.1 MB - MD5: 0c1a12511235b9dc9c83d522325f5c60
Stanfit object for sensitivity analysis 4
fit5.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 16.3 MB - MD5: b17b5eb579b2b02333f7cd15bca40372
Stanfit object for sensitivity analysis 5
fit6.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 12.9 MB - MD5: 52e0d3d8a30eb9efe62a46d714efb3dc
Stanfit object for sensitivity analysis 6
fit7.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 12.3 MB - MD5: 2294138e41515f81b584102289df9110
Stanfit object for sensitivity analysis 7
fit_fakesex.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 14.8 MB - MD5: 6dd1f4bc602bdbd6e5bc76d23e2a2fa3
Stanfit object for sensitivy analysis replacing sex with simulated data
fit_main.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 17.1 MB - MD5: ed5eec5a02a5b023dd0df176d25f22e5
Stanfit object for Main Analysis
fit_sexonly.Rdata
Feb 14, 2022 - Replication Data for: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States
R Data - 14.4 MB - MD5: 07149434a8b0a6e5554f3703866790b7
Stanfit object for sensitivity analysis including sex as the only individual-level categorical covariate
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.