Author
David Pettifor
Abstract
To support the Spectrum Awareness Flagship project’s needs for storing, maintaining, and sharing collected data from experiments, the Notre Dame team is developing a large data store on premises and an accompanying API service to interact with the data store. Additionally, we are maintaining a Python package to extend the API’s capabilities. These capabilities include indexing metadata supporting a variety of RF data representations in Digital RF, SigMF, and RadioHound file formats. This allows for robust searching, aggregation, and cross-format compatibility. Additionally, the data store maintains provenance around each raw data uploaded and enables researchers to share results with the public.