11 to 20 of 22 Results
Feb 1, 2024
Sardana, Nishtha; Audirac, Michelle, 2024, "Time Series of US Census Bureau Variables", https://doi.org/10.7910/DVN/N3IEXS, Harvard Dataverse, V1
This dataset, sourced from the United States Census Bureau, presents time series data at the county, ZCTA, and state levels. It includes a select number of variables from the American Community Survey (ACS) 1-Year Estimates, ACS 5-Year Estimates, and the Decennial Census (SF1). A key feature of this dataset is the harmonization of variable codes ac... |
Jan 16, 2024
Bouzinier, Michael; Audirac, Michelle, 2024, "MBSF mortality denominator", https://doi.org/10.7910/DVN/Y1WNU7, Harvard Dataverse, V1, UNF:6:AnGtp+e49qG9EpRwLlIZLg== [fileUNF]
The MBSF mortality denominator can be used to study mortality rates of the elder population in the US. Access to CMS data is restricted. Processed datasets cannot be shared. Contact the authors if you've purchased CMS data through RESDAC and would like to use our data processing pipelines to clean CMS raw data and generate the MBSF mortality denomi... |
Jan 16, 2024
Audirac, Michelle, 2024, "Zip2zcta master xwalk", https://doi.org/10.7910/DVN/HYNJSZ, Harvard Dataverse, V1, UNF:6:pZqmbScz/osTypCKIXPFNQ== [fileUNF]
The master crosswalk file maps U.S. ZIP codes to their respective ZIP Code Tabulation Areas (ZCTAs), capturing the discrepancies and characteristics of the ZIP-ZCTA relationships across the different yearly UDS crosswalks. ZCTAs allow for consistent analysis over time while accommodating changes in the underlying ZIP Code system and geographic boun... |
Jan 9, 2024
Casey, Joan; Benmarhnia, Tarik; Aguilera, Rosana, 2024, "Daily census tract-level wildfire fine particulate matter concentrations for California, 2006-2020", https://doi.org/10.7910/DVN/CICODO, Harvard Dataverse, V1
This dataset contains aggregated measurements of daily wildfire-specific fine particulate matter (PM2.5) concentrations at the census tract level in California from 2006 to 2020. Similar data at the zip code level was first described in a study by Aguilera et al. (2023): "A novel ensemble-based statistical approach to estimate daily wildfire-specif... |
Oct 25, 2023
Michael, Bouzinier; Irene, Kezia, 2023, "US Annual PM 2.5 Components per ZCTA", https://doi.org/10.7910/DVN/2NT5CV, Harvard Dataverse, V1, UNF:6:9Po8qBQhxuPRZcPE+aOkcA== [fileUNF]
This dataset provides comprehensive insights into the annual distribution of PM2.5 (Particulate Matter with a diameter of 2.5 micrometers or smaller) components across different Zip Code Tabulation Areas (ZCTAs). PM2.5 is a critical air pollutant with potential health and environmental impacts. This data highlights the individual components that co... |
Oct 25, 2023
Aggarwal, Sarika, 2023, "Flood measures by zipcode", https://doi.org/10.7910/DVN/KRZS4M, Harvard Dataverse, V1
We present flood measures using raster maps from the Global Flood Database, aggregated to zipcode for the years 2000-2018. Specific measures are percent of zip code area flooded and the mean and maximum duration of flooding in flooded pixels within the zip code. Flood identifier, start date, main cause, and severity are also included per the Dartmo... |
Oct 10, 2023
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
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 & Technolo... |
Jan 9, 2023
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... |
Dec 8, 2022
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. |
Jun 27, 2022
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 |
