data

This is a contribution of by Benjamin William Barrett who is a PhD student at the Health and Biomedical Informatics track of Northwestern University Feinberg School of Medicine’s Health Sciences Integrated PhD (HSIP) program. He was geocoding healthcare encounters within a singular, privacy-preserving, environment via containerization and Docker but struggled to get the {appeears} R package authentication working. I provided some guidance, mainly the use of a pre-created or spoofed keying, to avoid any user interaction in such a non-interactive setup.

We present a unique dataset of historical tropical tree phenology observations at two sites from different bioclimatic regions across the Congo Basin. These data may provide a reference baseline and key information on how tree species are responding to a changing climate.

Machine learning data for natural scenes and underrepresented landscapes

We present an analysis ready segmentation dataset of street level images of natural underrepresented landscapes for use in earth observation based products.

A machine learning dataset linking ground based cellphone images with ancillary data-streams