Educational Resource Hub

This crowd-sourced database of educational resources is meant to encompass any tools relevant to people working in the climate and health space. This might include submissions by the content authors themselves, or simply recommendations from community members for resources they have found helpful. This collection includes only links directing users to existing resources - it is not meant to house or archive content.

Keep in mind, this is a crowd-sourced database. CAFE does not verify the quality nor endorse the use of any materials included in this database. Make sure to follow the terms of use and attribution requirements specific to each resource. If you have created or used sources that would be relevant to the community of practice, please add it to the database by entering it in the submission form below.

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Data cleaning/coding strategies
Geospatial analysis
Subject matter training
Code repository
Intermediate
Free

The code in this directory creates a nationwide crosswalk file that shows the relationship between each 2020 census block and the 2020 ZCTA in which it is located. The proportion of the block population relative to the total population of the ZCTA constitutes the "spatial weight" of that block. The spatial weight of these blocks can be used to create population-weighted mean values at the ZCTA level based on block-level data.

Census Block; Zip Code; Environmental Health
Yes
Cloud computing/computing efficiency
Data cleaning/coding strategies
Online tutorial or vignette
Intermediate
Free

A micro-tutorial on submitting batch jobs in HPC environments such as SLURM/SGE

Cloud computing; Big data; Distributed computing
Yes
Grantsmanship/funding strategy
Professional development
Video or recorded webinar
Beginner
Free

This webinar provides examples and guidance for writing a strong specific aims page as part of the NIH grant writing process.

Grant Writing, Funding, NIH
Yes
Cloud computing/computing efficiency
Data access
Geospatial analysis
Code repository
Intermediate
Free

Calculate road length sums by type for each county/municipality for a country of choice, as well as calculate number of road intersections.

Roads, OpenStreetMap
Yes
Data access
Geospatial analysis
Subject matter training
Code repository
Beginner
Free

This concise U.S. Census Bureau documentation aims to consolidate frequently used information, offering a quick kick-start for your Census journey.

This documentation specifically focuses on the following commonly used products:
The American Community Survey (U.S. Census Bureau)
ACS 1-Year Estimate
sACS 5-Year Estimates
The Decennial Census

Census; Data Query; Sociodemographic Variability; API
Yes
Data access
Data cleaning/coding strategies
Geospatial analysis
Code repository
Intermediate
Free

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 derived. Daily mean, maximum, and minimum measures are assessed across administrative boundaries. Kenya is used as a demonstration area.

Extreme Temperatures, ERA5, Heat Index
Yes
Data access
Data cleaning/coding strategies
Geospatial analysis
Code repository
Beginner
Free

Using the gridded meteorological dataset PRISM as an example, this tutorial demonstrates how to aggregate raster data to administrative units (e.g., counties) with population weights.

Temperature, Climate, Weather, PRISM
Yes
Data access
Data cleaning/coding strategies
Subject matter training
Video or recorded webinar
Beginner
Free

This concise U.S. Census Bureau documentation aims to consolidate frequently used information, offering a quick kick-start for your Census journey.

This documentation specifically focuses on the following commonly used products:
The American Community Survey (U.S. Census Bureau)
ACS 1-Year Estimates
ACS 5-Year Estimates
The Decennial Census

Census; Data Query; Sociodemographic Variability; API
Yes

Crowd-Sourced Climate Change and Health Educational Resources Collection Submission Form

Do you have a resource you’d like to share with the community in this educational resource collection? Please fill out the submission form below.

Your entry will be checked to ensure the content is appropriate, but will not be assessed for accuracy or completeness, and no other quality checks will be done.

If you have a dataset you’d like to share with the community, think about posting it to the CAFE collection on Dataverse!

Please fill out the form to add a resource you think might be helpful for the climate change and health community of practice.

The type of resources that should be shared here are one of the following:

  • Book or reference text (e.g. textbook or guidebook on best practices or other essential knowledge)
  • Code repository (e.g. a GitHub code bank of an existing analysis)
  • Online code tutorial or vignette (e.g. a walkthrough of specific code or methods with examples and explanations)
  • Online course (e.g. a series of learning objectives with content and assessment)
  • Video or recorded webinar (e.g. educational resources presented in video format)
Your name will NOT be posted online or shared. We are asking in case we need to follow up with you about any details related to this resource.
Your email will NOT be posted online or shared. We are asking in case we need to follow up with you about any details related to this resource.
If you are unsure which option to select, please see examples of each of the following resource types shown to the left. If you believe that your resource encompasses more than one type, please just select the single option you think fits best.
Please select up to 3 options below.
These will be used as search terms to help users find this item so please be descriptive and use as many as you'd like. Key words could be relevant to specific climate and health topic areas (e.g. extreme heat, wildfire), the details of the approaches used in the tutorial (e.g. raster to polygon aggregation, machine learning), or the specific professional skill (e.g. grant writing, manuscript drafting tips).
Select all that apply.
[Please include 2-5 sentences]
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.