Browsing by Author "Fulker, David"

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    Brokered Alignment of Long-Tailed Observations (BALTO) Applications in Geoscience
    Stamps, D. Sarah; Gallagher, James; Peckham, Scott; Sheehan, Anne; Potter, Nathan; Stoica, Maria; Njinju, Emmanuel A.; Fulker, David; Neumiller, Kodi; Easton, Zachary M.; White, Robin R.; Fuka, Daniel R. (2019-06-13)
    Driven by data-rich use cases that span geodesy, geodynamics, seismology, and ecohydrology, the BALTO project enables brokered access to diverse geoscience data, including data that have been collected/organized by individual scientists in novel or unusual forms, also known as “long-tail” datasets. In BALTO, “brokering” means Web services that match diverse data-usage needs with heterogeneous types of source-data. This matching addresses form and semantics, which includes protocols, data structures, encodings, units of measure, variable names, and sampling meshes. The BALTO broker employs an extensible hub-and-spoke architecture: its hub will combine well-established, open-source, data-as-service software (from OPeNDAP) with the Geoscience Standard Names (GSN) to establish canonical representations for brokered datasets; each spoke—called an accessor—comprises (source-specific) data-access software along with metadata mappings that yield GSN-compliant variable names.
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    Brokered Alignment of Long-Tailed Observations (BALTO) Applications in Geoscience
    Stamps, D. Sarah; Gallagher, James; Peckham, Scott; Sheehan, Anne; Potter, Nathan; Stoica, Maria; Njinju, Emmanuel A.; Fulker, David; Neumiller, Kodi; Easton, Zachary M.; White, Robin R.; Fuka, Daniel R. (2019-07-17)
    The Internet of Things (IoT), interconnection of computing devices embedded in everyday objects, has given geo-data scientists access to quickly growing numbers of devices for sensing; at costs no longer requiring hardware grants to access. The BALTO project has realized the importance of these growing sensor networks and has been working to integrate these sensors that can be combined into sustainable and synergistic research and education programs, from K-16 through senior researchers, centered on real-time monitoring and analytics of coupled ecosystems. BALTO takes advantage of the OpenSource Long-Range communication protocol (LoRa) to connect sensors to EarthCube Architectures.