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Part 1: Document Description
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Citation |
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Title: |
Wildfire Smoke PM2.5 per Zipcode |
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Identification Number: |
doi:10.7910/DVN/VHNJBD |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-04-19 |
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Version: |
2 |
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Bibliographic Citation: |
Irene, Kezia; Audirac, Michelle; Spoto, Federica; Childs, Marissa L.; Dominici, Francesca; Braun, Danielle, 2023, "Wildfire Smoke PM2.5 per Zipcode", https://doi.org/10.7910/DVN/VHNJBD, Harvard Dataverse, V2 |
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Citation |
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Title: |
Wildfire Smoke PM2.5 per Zipcode |
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Identification Number: |
doi:10.7910/DVN/VHNJBD |
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Authoring Entity: |
Irene, Kezia (Harvard T.H. Chan School of Public Health) |
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Audirac, Michelle (Harvard T.H. Chan School of Public Health) |
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Spoto, Federica (Harvard T.H. Chan School of Public Health) |
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Childs, Marissa L. (Harvard T.H. Chan School of Public Health) |
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Dominici, Francesca (Harvard T.H. Chan School of Public Health) |
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Braun, Danielle (Harvard T.H. Chan School of Public Health) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Irene, Kezia |
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Depositor: |
Irene, Kezia |
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Date of Deposit: |
2023-04-17 |
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Holdings Information: |
https://doi.org/10.7910/DVN/VHNJBD |
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Study Scope |
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Keywords: |
Computer and Information Science, Earth and Environmental Sciences, Smoke, PM2.5, standardized weight |
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Abstract: |
This dataset contains daily aggregated measurements of daily PM2.5 from ambient wildfire smoke in the contiguous United States, spanning from 2006 to 2016. The data is sourced from a study by Childs et al. (2022), titled "Daily Local-Level Estimates of Ambient Wildfire Smoke PM2.5 for the Contiguous US" published in Environmental Science & Technology. To compute the standardized weight across different zip codes, we computed the weight calculation on a 10km grids. To compute the weight, we obtain area-weights that add up to 1 in each polygon of zipcodes. This enabled us to calculate the smoke values per zipcode for the aforementioned period. Those interested in replicating our data processing pipeline can access it at https://github.com/NSAPH-Data-Processing/smoke_aggregation. |
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Country: |
United States |
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Geographic Coverage: |
United States |
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Geographic Unit(s): |
zipcode |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by-sa/4.0">CC BY-SA 4.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Childs, M. L., Li, J., Wen, J., Heft-Neal, S., Driscoll, A., Wang, S., ... & Burke, M. (2022). Daily Local-Level Estimates of Ambient Wildfire Smoke PM2. 5 for the Contiguous US. Environmental Science & Technology, 56(19), 13607-13621. |
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Identification Number: |
36134580 |
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Bibliographic Citation: |
Childs, M. L., Li, J., Wen, J., Heft-Neal, S., Driscoll, A., Wang, S., ... & Burke, M. (2022). Daily Local-Level Estimates of Ambient Wildfire Smoke PM2. 5 for the Contiguous US. Environmental Science & Technology, 56(19), 13607-13621. |
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Label: |
daily_zip_2006.csv |
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Notes: |
text/csv |
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daily_zip_2007.csv |
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text/csv |
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daily_zip_2008.csv |
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Notes: |
text/csv |
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daily_zip_2009.csv |
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Notes: |
text/csv |
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daily_zip_2010.csv |
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Notes: |
text/csv |
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daily_zip_2011.csv |
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Notes: |
text/csv |
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daily_zip_2012.csv |
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Notes: |
text/csv |
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daily_zip_2013.csv |
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Notes: |
text/csv |
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daily_zip_2014.csv |
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Notes: |
text/csv |
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daily_zip_2015.csv |
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Notes: |
text/csv |
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Label: |
daily_zip_2016.csv |
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Notes: |
text/csv |