631 to 640 of 694 Results
Jan 16, 2024 - NSAPH
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 - NSAPH
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 - NSAPH
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 - NSAPH
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 - NSAPH
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 - NSAPH
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... |
Jul 31, 2023
Klompmaker, Jochem, 2023, "Seasonal NDVI by year and ZIP code", https://doi.org/10.7910/DVN/V0BDE7, Harvard Dataverse, V1, UNF:6:aQNCQx0QaW0Zz71lh0kZOw== [fileUNF]
We used Landsat 7 (Collection 1 Tier 1 DN values, representing scaled, calibrated at sensor radiance) and 8 (Collection 1 Tier 1 Operational Land Imager DN values, representing scaled, calibrated at sensor radiance) images for the entire US. Landsat 7 and 8 images are generated every 16 days at 30m resolution. Landsat images were used from 2000 til... |
Gao, Xuwen; Song, Ran; Timmins, Christopher, 2023, "Replication Data for: The Fertility Consequences of Air Pollution in China", https://doi.org/10.7910/DVN/OQL6TZ, Harvard Dataverse, V1, UNF:6:tCR8JK/DC2ioSlQbsAXw/A== [fileUNF]
Replication Data for: The Fertility Consequences of Air Pollution in China |
CHANG, SHAOHAN, 2023, "Replication Data for: The Impact of Subway Systems on Air Pollution", https://doi.org/10.7910/DVN/SV37LH, Harvard Dataverse, V1
The investigation into how subway system openings affect urban air pollution, with a focus on particulate concentrations, is presented in this abstract. The study discovered that the opening of a subway system was associated with a 4% decrease in particulates in the area of the city center, which persisted over a four-year time horizon, in cities w... |
Jan 23, 2023
Stowell, Jennifer, 2023, "Global Greenspace Indicator Dataset", https://doi.org/10.7910/DVN/TMWYHB, Harvard Dataverse, V1
Urban greenspace indicators for over 1,000 global urban areas, including indicators for 2010, 2015, 2020, and 2021. File includes absolute and population-weighted peak and annual NDVI. |
