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BUSPH-HSPH CAFE RCC

The CAFE Research Coordinating Center (RCC) is a joint initiative by the Boston University School of Public Health and Harvard T.H. Chan School of Public Health

 

CAFE RCC GitHub Organization

Welcome to the GitHub Organization page for the BUSPH-HSPH CAFE RCC, The Research Coordinating Center for Health and Extreme Weather! Here you can find code repositories for tutorials and example analyses developed and maintained by the CAFE team.

Additional CAFE resource links:

Tutorials and Code Sharing

CAFE RCC has a established this community GitHub organization to share code, examples, and tutorials on working with common data formats and sources. We are assembling a collection of standard operating procedures (SOPs) for data processing, integration, harmonization, and analysis with code and tutorials in order to facilitate reproducibility and reusability for the Health and Extreme Weather Community of Practice.

As CAFE and the community of practice grow, we will continue to refine and expand these materials to showcase additional analyses platforms. We hope that community members joining the CAFE initiative will contribute their own educational resources and code repositories through CAFE's Educational Resource Hub, and that you will share and reuse the code and software found here on our CAFE GitHub page.

Current Tutorials and Code Walkthroughs

Our CAFE team members have created tutorials and code examples for several key data management procedures and common analysis challenges that Health and Extreme Weather researchers may encounter. These tutorials are intended to provide usable example materials that researchers can download and step through on their own. Many of these materials are still under active development, so please check back regularly for updates.

You can find our tutorials by browsing the repositories here on our GitHub page, or click here to view a spreadsheet detailing our current tutorials (both published and under development).

Expanding Our Efforts

We hope that in addition to learning from these tutorials, community members will see these materials as representative examples of the kinds of materials they can develop and share through the CAFE themselves. If you are interested in contributing a tutorial or example workflow through CAFE, we encourage you to submit it to our Educational Resource Hub using the submission form at the bottom of that page. You can also click here to join our community of practice and stay involved with CAFE's many ongoing initiatives.

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  1. Climate-CAFE.github.io Climate-CAFE.github.io Public

    CAFE Public Data Standard Operating Procedure Website for Dataverse and GitHub

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  2. era5-daily-heat-aggregation era5-daily-heat-aggregation Public

    Using the R ecmwfr package, ERA5 hourly temperature measures are downloaded from the Copernicus Climate Data Store. Using temperature and dewpoint temperature, heat index and humidex metrics are de…

    R 5 1

  3. educationdemo2024 educationdemo2024 Public

    HTML 2

  4. era5-daily-heat-aggregation-python era5-daily-heat-aggregation-python Public

    Python 2 1

  5. population_weighting_raster_data population_weighting_raster_data Public

    Population Weighting Raster Data -- Using the gridded meteorological dataset PRISM as an example, this tutorial demonstrates how to aggregate raster data to administrative units (e.g., counties) wi…

    R 1 1

  6. us_census_tutorial us_census_tutorial Public

    A succinct tutorial for querying socio-demographic variables from the US Census Bureau using its API.

    Jupyter Notebook 1

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