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Title: Using TERRA REF high throughput, sensor-collected plant data with R
Duration: ~2-4 hours
Description:
In this hands-on workshop, we will teach users how to access and use TERRA REF (terraref.org), the largest, highest resolution public domain reference dataset for phenomics (LeBauer et al., 2020). We will walk attendees through how to navigate, download, and use sensor, trait, and environmental data to understand plant growth and physiology. TERRA REF is a good use case for these kinds of datasets because it is publicly available, can be accessed using a common set of tools in the R programming language, and has a diverse array of additional data, from hyperspectral images to phenological measurements to genomic sequences. Expected outcomes from this workshop include making this specific dataset usable and used by more researchers who could benefit from it, and more generally empowering scientists to become comfortable with using tools and technologies needed to access similar large, high-throughput datasets that have been collected and made available by others. This workshop will be based on previously presented material (https://github.com/terraref/tutorials/tree/master/videos, terraref.org/tutorials), which has been taught successfully in past virtual webinars, that will be updated and simplified now that the data is in the public domain.
The text was updated successfully, but these errors were encountered:
Happening on Feb 19. Description below.
Run through material 2xmoved to Review YABA PRs #287Title: Using TERRA REF high throughput, sensor-collected plant data with R
Duration: ~2-4 hours
Description:
In this hands-on workshop, we will teach users how to access and use TERRA REF (terraref.org), the largest, highest resolution public domain reference dataset for phenomics (LeBauer et al., 2020). We will walk attendees through how to navigate, download, and use sensor, trait, and environmental data to understand plant growth and physiology. TERRA REF is a good use case for these kinds of datasets because it is publicly available, can be accessed using a common set of tools in the R programming language, and has a diverse array of additional data, from hyperspectral images to phenological measurements to genomic sequences. Expected outcomes from this workshop include making this specific dataset usable and used by more researchers who could benefit from it, and more generally empowering scientists to become comfortable with using tools and technologies needed to access similar large, high-throughput datasets that have been collected and made available by others. This workshop will be based on previously presented material (https://github.com/terraref/tutorials/tree/master/videos, terraref.org/tutorials), which has been taught successfully in past virtual webinars, that will be updated and simplified now that the data is in the public domain.
The text was updated successfully, but these errors were encountered: