v0.2.0 alpha version
Release Notes
Open Data, Equitable Access
and AI Services for All
Building the nation’s federated data ecosystem.
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What is the National Data Platform?
The National Data Platform, or NDP, is a federated and extensible data ecosystem to promote collaboration, innovation, and equitable use of data on top of existing cyberinfrastructure capabilities.
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Explore AI services and data collections
Search through a rich collection of open data and AI services spanning diverse applications.
Use and create data and AI services
Dive straight into the data within your browser and run analyses on scalable computing platforms.
Learn AI through data projects and challenges
Join activities hosted by professors and organizations and practice your AI skills using real-world data.
Host public or private educational activities or capstone projects
Host data projects to supplement your classroom teaching with applicable real world data.
Frequently viewed datasets
View Data CatalogFrequently used OKNs
View OKN CatalogWIFIRE-commons-ontology
The fire science ontology was developed with input from domain experts in fire science with a focus on concepts important for prescribed fires. Datasets in wifire commons are semantically tagged with terms from the ontology which aid in discoverability. As the BurnPro3d platform evolves and new datasets are added to wifire commons, the ontology will need to be augmented to accommodate the new semantic understanding. The ontology can also be visualized under “browse keywords” on the wifire commons front page.
YAGO
YAGO (Yet Another Great Ontology) is an open source[3] knowledge base developed at the Max Planck Institute for Informatics in Saarbrücken. It is automatically extracted from Wikipedia and other sources. As of 2019, YAGO3 has knowledge of more than 10 million entities and contains more than 120 million facts about these entities.[4] The information in YAGO is extracted from Wikipedia (e.g., categories, redirects, infoboxes), WordNet (e.g., synsets, hyponymy), and GeoNames.[5] The accuracy of YAGO was manually evaluated to be above 95% on a sample of facts.[6] To integrate it to the linked data cloud, YAGO has been linked to the DBpedia ontology[7] and to the SUMO ontology.[8] YAGO3 is provided in Turtle and tsv formats. Dumps of the whole database are available, as well as thematic and specialized dumps. It can also be queried through various online browsers and through a SPARQL endpoint hosted by OpenLink Software. The source code of YAGO3 is available on GitHub.
ENVO
A description of the Environment Ontology (ENVO) is published in the Journal of Biomedical Semantics in an article by Buttigieg et al. and a paper describing its development until mid-2016 is available here Our latest releases are described here More information and guides for using ENVO in annotation exercises are available at www.environmentontology.org Please note: ENVO is not an "authority" in itself, but we do try to provide a semantic/ontological expression of existing authoritative classifications alongside project-based or individual knowledge. We aim to create a FAIR compliant space where expressions of this knowledge can co-exist and interoperate.
Host projects and challenges through Educational Gateway
- Launching of class projects and data challenges through National cyberinfrastructure (CI) capabilities
- Access to open learning resources for Data Science, CI, and AI training
- Sample Jupyter Notebooks and Workflows to develop and participate in educational activities
Contact - ndp@sdsc.edu
The National Data Platform was funded by NSF 2333609 under CI, CISE Research Resources programs. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funders.