CAFE Climate and Health Research Coordinating Center Collection

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641 to 650 of 694 Results

Replication Data for: Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S. Jan 9, 2023 - NSAPH Considine, Ellen; Hao, Jiayuan, 2023, "Replication Data for: Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S.", https://doi.org/10.7910/DVN/MBAVER, Harvard Dataverse, V1 This analytic dataset contains fine particulate matter (PM2.5) estimates at the locations of air quality monitors across the western US, both mobile smoke monitors deployed by the US Forest Service and stationary monitors maintained by the US EPA. All original sources of this data are open access; we share this processed dataset to facilitate repli...
Replication Data for: Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information Dec 8, 2022 - NSAPH Considine, Ellen, 2022, "Replication Data for: Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information", https://doi.org/10.7910/DVN/QR4N7V, Harvard Dataverse, V1, UNF:6:J+iWb1dGAgHgWN62soaKLA== [fileUNF] This analytic dataset contains various environmental and socio-demographic characteristics of the state of California, daily at the resolution of 1km x 1km. All original sources of this data are open access; we share this processed dataset to facilitate replication of our paper and other exploration.
Census data interpolated by year and zip code Jun 27, 2022 - NSAPH Sabath, Ben, 2022, "Census data interpolated by year and zip code", https://doi.org/10.7910/DVN/9V5WCM, Harvard Dataverse, V1 Demographic values crosswalked from zcta to zip codes, with missing values replaced by a moving average model for each ZCTA. Data was available for the year 2000, and from 2011-2016. All other years were interpolated. Git repository: https://github.com/NSAPH/National-Causal-Analysis/tree/master/Confounders/census
NEMSIS Air Transport Mar 5, 2022 - NEMSIS Trauma Prehospital Intervals Medrano, Nicolas, 2022, "NEMSIS Air Transport", https://doi.org/10.7910/DVN/0JJVIA, Harvard Dataverse, V1, UNF:6:WDP/cNNFy9auTZvqInFXJw== [fileUNF] This dataset originates from the National EMS Information System (NEMSIS) database. This dataset has selected severe trauma events where air transport was utilized.
NEMSIS Ground Transport Mar 4, 2022 - NEMSIS Trauma Prehospital Intervals Medrano, Nicolas, 2022, "NEMSIS Ground Transport", https://doi.org/10.7910/DVN/YC3QUK, Harvard Dataverse, V1 This dataset originates from the National EMS Information System (NEMSIS) database. This dataset has selected trauma events where ground transport was utilized and includes time and rurality elements.
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 Feb 14, 2022 - NSAPH Woodward, Sophie, 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", https://doi.org/10.7910/DVN/3ZU0AS, Harvard Dataverse, V1, UNF:6:D8W7/RcF4rlkKWjYBggFeQ== [fileUNF] This is the data repository for publicly available data to reproduce analyses in Woodward, S., Wu, X., Hou, Z., Mork, D., Braun, D., Dominici, F., 2022. Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States. For code, please visit https://github.com/...
Synthetic Medicare Data for Environmental Health Studies Feb 3, 2022 - NSAPH Khoshnevis, Naeem; Wu, Xiao; Braun, Danielle, 2022, "Synthetic Medicare Data for Environmental Health Studies", https://doi.org/10.7910/DVN/L7YF2G, Harvard Dataverse, V1, UNF:6:wxOArbL7aAjUs5Ezcu5EFg== [fileUNF] We present a synthetic medicare claims dataset linked to environmental exposures and potential confounders. In most environmental health studies relying on claims data, data restrictions exist and the data cannot be shared publicly. Centers for Medicare and Medicaid services (CMS) has generated synthetic publicly available Medicare claims data for...
AECOPD - Air pollutants data Jan 6, 2022 - Acoal Liu Dataverse Liu, Acoal, 2022, "AECOPD - Air pollutants data", https://doi.org/10.7910/DVN/QLAJIF, Harvard Dataverse, V1, UNF:6:wyh9nnl9UHUK+ATpxTXBVQ== [fileUNF] The dataset includes all admission cases aged 15 or over diagnosed with AECOPD in 155 local medical institutions of Qingyang, China between January 1, 2015 and June 26, 2016. The air pollutants data, as well as meteorological data for the same period is also included.
infer Cd from field data May 19, 2021 - DesignSafe Data Depot Repository Harvested Subcollection 2021, "infer Cd from field data", https://doi.org/10.17603/DS2-Y4PJ-KQ77 Quantifying the vegetal drag and vegetation-induced energy dissipation is fundamental for assessing the benefits of vegetated shorelines at dissipating wave energy. The vegetal drag coefficient is critical for simulating the wave attenuation in vegetation. The link on the title will take you to the dataset's permanent location in the DesignSafe Data Depot Repository were the full metadata and data are accessible.
The Effect of Urbanization on Air Pollution Damage Mar 18, 2021 - Journal of the Association of Environmental and Resource Economists Dataverse Deng, Hao; Robert Mendelsohn, 2021, "The Effect of Urbanization on Air Pollution Damage", https://doi.org/10.7910/DVN/FXR1WU, Harvard Dataverse, V1, UNF:6:PVI3xbShRkcpIeoZ4sYvFg== [fileUNF] These are the data and code to replicate the results for the paper "The Effect of Urbanization on Air Pollution Damage".

Replication Data for: Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S.

Jan 9, 2023 - NSAPH

Considine, Ellen; Hao, Jiayuan, 2023, "Replication Data for: Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S.", https://doi.org/10.7910/DVN/MBAVER, Harvard Dataverse, V1

This analytic dataset contains fine particulate matter (PM2.5) estimates at the locations of air quality monitors across the western US, both mobile smoke monitors deployed by the US Forest Service and stationary monitors maintained by the US EPA. All original sources of this data are open access; we share this processed dataset to facilitate repli...

Replication Data for: Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information

Dec 8, 2022 - NSAPH

Considine, Ellen, 2022, "Replication Data for: Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information", https://doi.org/10.7910/DVN/QR4N7V, Harvard Dataverse, V1, UNF:6:J+iWb1dGAgHgWN62soaKLA== [fileUNF]

This analytic dataset contains various environmental and socio-demographic characteristics of the state of California, daily at the resolution of 1km x 1km. All original sources of this data are open access; we share this processed dataset to facilitate replication of our paper and other exploration.

Census data interpolated by year and zip code

Jun 27, 2022 - NSAPH

Sabath, Ben, 2022, "Census data interpolated by year and zip code", https://doi.org/10.7910/DVN/9V5WCM, Harvard Dataverse, V1

Demographic values crosswalked from zcta to zip codes, with missing values replaced by a moving average model for each ZCTA. Data was available for the year 2000, and from 2011-2016. All other years were interpolated. Git repository: https://github.com/NSAPH/National-Causal-Analysis/tree/master/Confounders/census

NEMSIS Air Transport

Mar 5, 2022 - NEMSIS Trauma Prehospital Intervals

Medrano, Nicolas, 2022, "NEMSIS Air Transport", https://doi.org/10.7910/DVN/0JJVIA, Harvard Dataverse, V1, UNF:6:WDP/cNNFy9auTZvqInFXJw== [fileUNF]

This dataset originates from the National EMS Information System (NEMSIS) database. This dataset has selected severe trauma events where air transport was utilized.

NEMSIS Ground Transport

Mar 4, 2022 - NEMSIS Trauma Prehospital Intervals

Medrano, Nicolas, 2022, "NEMSIS Ground Transport", https://doi.org/10.7910/DVN/YC3QUK, Harvard Dataverse, V1

This dataset originates from the National EMS Information System (NEMSIS) database. This dataset has selected trauma events where ground transport was utilized and includes time and rurality elements.

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

Feb 14, 2022 - NSAPH

Woodward, Sophie, 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", https://doi.org/10.7910/DVN/3ZU0AS, Harvard Dataverse, V1, UNF:6:D8W7/RcF4rlkKWjYBggFeQ== [fileUNF]

This is the data repository for publicly available data to reproduce analyses in Woodward, S., Wu, X., Hou, Z., Mork, D., Braun, D., Dominici, F., 2022. Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States. For code, please visit https://github.com/...

Synthetic Medicare Data for Environmental Health Studies

Feb 3, 2022 - NSAPH

Khoshnevis, Naeem; Wu, Xiao; Braun, Danielle, 2022, "Synthetic Medicare Data for Environmental Health Studies", https://doi.org/10.7910/DVN/L7YF2G, Harvard Dataverse, V1, UNF:6:wxOArbL7aAjUs5Ezcu5EFg== [fileUNF]

We present a synthetic medicare claims dataset linked to environmental exposures and potential confounders. In most environmental health studies relying on claims data, data restrictions exist and the data cannot be shared publicly. Centers for Medicare and Medicaid services (CMS) has generated synthetic publicly available Medicare claims data for...

AECOPD - Air pollutants data

Jan 6, 2022 - Acoal Liu Dataverse

Liu, Acoal, 2022, "AECOPD - Air pollutants data", https://doi.org/10.7910/DVN/QLAJIF, Harvard Dataverse, V1, UNF:6:wyh9nnl9UHUK+ATpxTXBVQ== [fileUNF]

The dataset includes all admission cases aged 15 or over diagnosed with AECOPD in 155 local medical institutions of Qingyang, China between January 1, 2015 and June 26, 2016. The air pollutants data, as well as meteorological data for the same period is also included.

infer Cd from field data

May 19, 2021 - DesignSafe Data Depot Repository Harvested Subcollection

2021, "infer Cd from field data", https://doi.org/10.17603/DS2-Y4PJ-KQ77

Quantifying the vegetal drag and vegetation-induced energy dissipation is fundamental for assessing the benefits of vegetated shorelines at dissipating wave energy. The vegetal drag coefficient is critical for simulating the wave attenuation in vegetation.

The link on the title will take you to the dataset's permanent location in the DesignSafe Data Depot Repository were the full metadata and data are accessible.

The Effect of Urbanization on Air Pollution Damage

Mar 18, 2021 - Journal of the Association of Environmental and Resource Economists Dataverse

Deng, Hao; Robert Mendelsohn, 2021, "The Effect of Urbanization on Air Pollution Damage", https://doi.org/10.7910/DVN/FXR1WU, Harvard Dataverse, V1, UNF:6:PVI3xbShRkcpIeoZ4sYvFg== [fileUNF]

These are the data and code to replicate the results for the paper "The Effect of Urbanization on Air Pollution Damage".

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