sub:assertion { sub:EnvDSafip:FAIR-Implementation-Community ; rdfs:comment "The Environmental Data Science book showcase and support the publication of data, research and open-source tools using Data Science and AI for monitoring and modelling a wide diversity of environmental systems. Through the publication of executable use cases with. Jupyter Notebooks, the resource aims to be a living, open and community-driven online resource guiding the scientific community about information extraction and analysis from environmental sensors (including ground sensors, drones, and satellite Earth observations) and other type of data from a wide diversity of sources, innovative research and open-source tools." ; rdfs:label "The Environmental Data Science" ; rdfs:seeAlso <https://the-environmental-ds-book.netlify.app/welcome.html> ; fip:has-research-domain <http://aims.fao.org/aos/agrovoc/c_331559> . }