CAFE Climate and Health Research Coordinating Center Collection

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Columbia Climate School Center for Integrated Earth System Information (CIESIN)

DesignSafe Data Depot Repository Harvested Subcollection

Climate Health AIR pollution study (CHAIR) in India

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NSAPH

Extracted Data Contributions

Health Data Resource Catalog

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611 to 620 of 694 Results

Mexico OpenStreetMap Road Length Sums and Intersection Counts by Municipality Oct 21, 2024 James, Allison; Popp, Zachary; Lane, Kevin, 2024, "Mexico OpenStreetMap Road Length Sums and Intersection Counts by Municipality", https://doi.org/10.7910/DVN/BPNZJA, Harvard Dataverse, V1, UNF:6:Y5HqwT1pH/ocDmKfMPAMpw== [fileUNF] Road length sums were calculated at Mexico's municipality level using road shapefiles from OpenStreetMap, downloaded from Geofabrik. Municipality shapefiles were downloaded from GADM. Both total road length and road length by road type (e.g. highway, local street) are included. Number of intersections are calculated by counting the each intersectio...
Climate and Health Data Survey Instrument Oct 21, 2024 Gause, Emma; Keith Spangler; Joshua S. Cetron; Michelle Audirac; Zachary Popp; Julie Goldman; Danielle Braun; Kevin Lane, 2024, "Climate and Health Data Survey Instrument", https://doi.org/10.7910/DVN/3C0C7P, Harvard Dataverse, V1, UNF:6:BNzx2uxSfYVxch/VfGZhrg== [fileUNF] This entry contains the survey instrument used to survey the climate change and health (CCH) community of practice by the CAFÉ coordinating center (U24ES035309). Participants were asked questions related to common climate change and health data sources, barriers to use and share data, and the unmet software and data needs of the CCH community. This...
Daily meteorological Gridmet variables by United States administrative boundaries Oct 15, 2024 - NSAPH Audirac, Michelle, 2024, "Daily meteorological Gridmet variables by United States administrative boundaries", https://doi.org/10.7910/DVN/FYTME3, Harvard Dataverse, V1, UNF:6:6B86BMLfgFTH6W7howGaQQ== [fileUNF] This dataset provides spatial aggregations of meteorological Gridmet variables for US counties and ZIP Code Tabulation Areas (ZCTA). The spatial aggregations are performed for gridded raster data (netCDF) to US polygon features (shapefile).
Extracted Data From: Variation in access to urban parks across six OECD countries Oct 8, 2024 Kaufmann, Talia; Vispute, Swapnil; Kansal, Mansi; O'Brien, T. Daniel; Shekel, Tomer; Gabrilovich, Evgeniy; Wellenius, Gregory; DIJKSTRA, Lewis; Veneri, Paolo, 2024, "Extracted Data From: Variation in access to urban parks across six OECD countries", https://doi.org/10.7910/DVN/QF1XRK, Harvard Dataverse, V1, UNF:6:gUQZsjUtFaNyQX6pPRWYew== [fileUNF] If you have questions about the underlying data stored here, please contact Talia Kaufmann (kaufmann.t@northeastern.edu). If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu. We estimated accessibility to parks across 496 Functional Urban Are...
Wind Data Maps in Lahaina Region during the 2023 Maui Wildfires Oct 8, 2024 Vosoughifar, Hamidreza; Ferguson, Lauren; Pei, Gen; Azimi, Parham; Bateni, Sayed; Allen, Joseph, 2024, "Wind Data Maps in Lahaina Region during the 2023 Maui Wildfires", https://doi.org/10.7910/DVN/YQPWKG, Harvard Dataverse, V1 We generated wind speed and direction data in Lahaina region in August, 2023 (during the 2023 Maui Wildfires). We want to make this data accessible to the public to benefit related studies on how wildfires spread and how we can effectively prepare for future catastrophic events. By investing in this knowledge, we can better protect our communities...
Global Aggregations Climate Types Sep 30, 2024 - NSAPH Gilmour, Jonathan, 2024, "Global Aggregations Climate Types", https://doi.org/10.7910/DVN/JOEZDP, Harvard Dataverse, V2, UNF:6:4+Xc41Qa92WTIikReQ4OLw== [fileUNF] Global polygon spatial aggregations of Koppen-Geiger climate types.
Urban Park Use in the United States at Census Tract 2017 - 2021 Sep 11, 2024 Swapnil Vispute; Michael T. Young; Stylianos Serghiou; Akim Kumok; Yash Shah; Kevin J. Lane; Shailesh Bavadekar; Mansi Kansal; Tomer Shekel; Gregory A. Wellenius; Evgeniy Gabrilovich, 2024, "Urban Park Use in the United States at Census Tract 2017 - 2021", https://doi.org/10.7910/DVN/K71AJS, Harvard Dataverse, V3, UNF:6:GV5J0XrY5cSe+V87Qg2Mnw== [fileUNF] We estimated seasonal park usage for 69,450 census tracts in the contiguous US from 2017 - 2021. We defined realized park usage as the proportion of the population of a given census tract that visits a park at least once in a given week. We estimated this quantity using aggregated and anonymized data from Google users who have enabled the Location...
ZIP to County Crosswalk Aug 12, 2024 - NSAPH Kitch, James, 2024, "ZIP to County Crosswalk", https://doi.org/10.7910/DVN/0U2TCB, Harvard Dataverse, V1, UNF:6:Ille9Yav2FM1Vg8kkPZlgA== [fileUNF] The following crosswalks are the result of a data pipeline that pulls crosswalks from the U.S. Department of Housing and Urban Development (HUD) database, compiling a comprehensive ZIP --> FIPS crosswalk from 2010 to 2023. The crosswalks are available in four different forms: "one2one": one row, per ZIP code, per year. Each ZIP is matched to its be...
Multifactorial Zip Code-Year Dataset: Socio-Economic, Demographic, and Environmental Variables in the Contiguous United States (2000-2016) Jul 30, 2024 - NSAPH Khoshnevis, Naeem; Wu, Xiao; Braun, Danielle, 2024, "Multifactorial Zip Code-Year Dataset: Socio-Economic, Demographic, and Environmental Variables in the Contiguous United States (2000-2016)", https://doi.org/10.7910/DVN/5XBJBM, Harvard Dataverse, V1 This dataset aggregates extensive public data corresponding to 34,928 zip codes from the contiguous United States, spanning from 2000 to 2016. It encompasses 580,244 zip code-year observations, capturing a myriad of variables to portray a comprehensive picture of each region. The variables include, but are not limited to, education rate, median hou...
US Census QGIS Training 101 Data Jun 25, 2024 Lane, Kevin, 2024, "US Census QGIS Training 101 Data", https://doi.org/10.7910/DVN/KCOHVH, Harvard Dataverse, V1 This data is comprised of U.S. Census tracts for the year 2019 with data from the American Community Survey, CDC social vulnerability index, CDC Places EPA toxic release inventory sites, PM2.5 annual average from the Atmospheric Composition Analysis Group (https://sites.wustl.edu/acag/). This dataset was created as part of the CAFE Introduction to...

Mexico OpenStreetMap Road Length Sums and Intersection Counts by Municipality

Oct 21, 2024

James, Allison; Popp, Zachary; Lane, Kevin, 2024, "Mexico OpenStreetMap Road Length Sums and Intersection Counts by Municipality", https://doi.org/10.7910/DVN/BPNZJA, Harvard Dataverse, V1, UNF:6:Y5HqwT1pH/ocDmKfMPAMpw== [fileUNF]

Road length sums were calculated at Mexico's municipality level using road shapefiles from OpenStreetMap, downloaded from Geofabrik. Municipality shapefiles were downloaded from GADM. Both total road length and road length by road type (e.g. highway, local street) are included. Number of intersections are calculated by counting the each intersectio...

Climate and Health Data Survey Instrument

Oct 21, 2024

Gause, Emma; Keith Spangler; Joshua S. Cetron; Michelle Audirac; Zachary Popp; Julie Goldman; Danielle Braun; Kevin Lane, 2024, "Climate and Health Data Survey Instrument", https://doi.org/10.7910/DVN/3C0C7P, Harvard Dataverse, V1, UNF:6:BNzx2uxSfYVxch/VfGZhrg== [fileUNF]

This entry contains the survey instrument used to survey the climate change and health (CCH) community of practice by the CAFÉ coordinating center (U24ES035309). Participants were asked questions related to common climate change and health data sources, barriers to use and share data, and the unmet software and data needs of the CCH community. This...

Daily meteorological Gridmet variables by United States administrative boundaries

Oct 15, 2024 - NSAPH

Audirac, Michelle, 2024, "Daily meteorological Gridmet variables by United States administrative boundaries", https://doi.org/10.7910/DVN/FYTME3, Harvard Dataverse, V1, UNF:6:6B86BMLfgFTH6W7howGaQQ== [fileUNF]

This dataset provides spatial aggregations of meteorological Gridmet variables for US counties and ZIP Code Tabulation Areas (ZCTA). The spatial aggregations are performed for gridded raster data (netCDF) to US polygon features (shapefile).

Extracted Data From: Variation in access to urban parks across six OECD countries

Oct 8, 2024

Kaufmann, Talia; Vispute, Swapnil; Kansal, Mansi; O'Brien, T. Daniel; Shekel, Tomer; Gabrilovich, Evgeniy; Wellenius, Gregory; DIJKSTRA, Lewis; Veneri, Paolo, 2024, "Extracted Data From: Variation in access to urban parks across six OECD countries", https://doi.org/10.7910/DVN/QF1XRK, Harvard Dataverse, V1, UNF:6:gUQZsjUtFaNyQX6pPRWYew== [fileUNF]

If you have questions about the underlying data stored here, please contact Talia Kaufmann (kaufmann.t@northeastern.edu). If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu. We estimated accessibility to parks across 496 Functional Urban Are...

Wind Data Maps in Lahaina Region during the 2023 Maui Wildfires

Oct 8, 2024

Vosoughifar, Hamidreza; Ferguson, Lauren; Pei, Gen; Azimi, Parham; Bateni, Sayed; Allen, Joseph, 2024, "Wind Data Maps in Lahaina Region during the 2023 Maui Wildfires", https://doi.org/10.7910/DVN/YQPWKG, Harvard Dataverse, V1

We generated wind speed and direction data in Lahaina region in August, 2023 (during the 2023 Maui Wildfires). We want to make this data accessible to the public to benefit related studies on how wildfires spread and how we can effectively prepare for future catastrophic events. By investing in this knowledge, we can better protect our communities...

Global Aggregations Climate Types

Sep 30, 2024 - NSAPH

Gilmour, Jonathan, 2024, "Global Aggregations Climate Types", https://doi.org/10.7910/DVN/JOEZDP, Harvard Dataverse, V2, UNF:6:4+Xc41Qa92WTIikReQ4OLw== [fileUNF]

Global polygon spatial aggregations of Koppen-Geiger climate types.

Urban Park Use in the United States at Census Tract 2017 - 2021

Sep 11, 2024

Swapnil Vispute; Michael T. Young; Stylianos Serghiou; Akim Kumok; Yash Shah; Kevin J. Lane; Shailesh Bavadekar; Mansi Kansal; Tomer Shekel; Gregory A. Wellenius; Evgeniy Gabrilovich, 2024, "Urban Park Use in the United States at Census Tract 2017 - 2021", https://doi.org/10.7910/DVN/K71AJS, Harvard Dataverse, V3, UNF:6:GV5J0XrY5cSe+V87Qg2Mnw== [fileUNF]

We estimated seasonal park usage for 69,450 census tracts in the contiguous US from 2017 - 2021. We defined realized park usage as the proportion of the population of a given census tract that visits a park at least once in a given week. We estimated this quantity using aggregated and anonymized data from Google users who have enabled the Location...

ZIP to County Crosswalk

Aug 12, 2024 - NSAPH

Kitch, James, 2024, "ZIP to County Crosswalk", https://doi.org/10.7910/DVN/0U2TCB, Harvard Dataverse, V1, UNF:6:Ille9Yav2FM1Vg8kkPZlgA== [fileUNF]

The following crosswalks are the result of a data pipeline that pulls crosswalks from the U.S. Department of Housing and Urban Development (HUD) database, compiling a comprehensive ZIP --> FIPS crosswalk from 2010 to 2023. The crosswalks are available in four different forms: "one2one": one row, per ZIP code, per year. Each ZIP is matched to its be...

Multifactorial Zip Code-Year Dataset: Socio-Economic, Demographic, and Environmental Variables in the Contiguous United States (2000-2016)

Jul 30, 2024 - NSAPH

Khoshnevis, Naeem; Wu, Xiao; Braun, Danielle, 2024, "Multifactorial Zip Code-Year Dataset: Socio-Economic, Demographic, and Environmental Variables in the Contiguous United States (2000-2016)", https://doi.org/10.7910/DVN/5XBJBM, Harvard Dataverse, V1

This dataset aggregates extensive public data corresponding to 34,928 zip codes from the contiguous United States, spanning from 2000 to 2016. It encompasses 580,244 zip code-year observations, capturing a myriad of variables to portray a comprehensive picture of each region. The variables include, but are not limited to, education rate, median hou...

US Census QGIS Training 101 Data

Jun 25, 2024

Lane, Kevin, 2024, "US Census QGIS Training 101 Data", https://doi.org/10.7910/DVN/KCOHVH, Harvard Dataverse, V1

This data is comprised of U.S. Census tracts for the year 2019 with data from the American Community Survey, CDC social vulnerability index, CDC Places EPA toxic release inventory sites, PM2.5 annual average from the Atmospheric Composition Analysis Group (https://sites.wustl.edu/acag/). This dataset was created as part of the CAFE Introduction to...

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