Pages using the property “DataSystemValueConsolidation”
Showing 18 pages using this property.
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| 3D-AQS + | Not Given |
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| AIRNow + | AIRNow serves to consolidate real-time data and forecasts from agencies across the country. The AIRNowTech systems also perform some integration by pulling in meteorological data, fire and smoke information, trajectory modeling, etc. |
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| CASTNET + | Not Given |
| CMAQ + | Not Given |
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| DataFed + | Data consolidation from heterogeneous to homogeneous structure is performed on the fly for most datasets. Many historical datasets are cached at DataFed for fast data access and browsing. |
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| EMF + | Sharing data planned with Emission Inventory System (EIS) to help reduce/prevent duplicate data. |
| EPA AIRQuest Data Warehouse + | Not Given |
| EPA AQS + | Data from multiple networks is included (criteria, toxics, visibility, etc.) |
| ESIP + | Metadata aggregator. Provide domain-specific context for data where metadata and other contextual information about earth science data is available to help understand how data are created and used. |
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| GIOVANNI + | CALIPSO, CloudSat, MODIS |
| GeoWeb + | Not Given |
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| HEI + | see dataset information |
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| NARSTO + | This is being developed. |
| NASA Atmospheric Science Data Center + | * Data format primarilyin HDF-EOS with integrated metadata.
* Metadata managed in PostGres POSTGIS open source database. |
| NEISGEI + | Not Given |
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| RSIG + | Yes. RSIG visualizes data together over a map. It will also soon have the ability to regrid the data to a specified CMAQ grid to facilitate integration with other applications such as Hierarchical Bayesian/Markov Chain Monte Carlo (HB/MCMC). |
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| Unidata IDD Data System + | Data from many different sources are available via the Unidata datastreams in real-time and can be analyzed in an integrated fashion via tools such as the Unidata Integrated Data Viewer |
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| VIEWS + | VIEWS employs an advanced data acquisition … VIEWS employs an advanced data acquisition and import system to integrate data from several air quality data centers into a single, highly-optimized data warehouse. Ground-based measurements from dozens of monitoring networks, air quality modeling results, and detailed emissions inventories are imported and updated on a regular basis using a generalized, uniform data model and carefully standardized metadata. Names, codes, units, and quality flags from the source datasets are carefully mapped to a unified standard, and native formats and organizations are transformed into a common, normalized database schema. This design enables users to explore, merge, and analyze datasets of widely-varying origin in a consistent, unified manner with a common set of tools and web services. This degree of interoperability allows decision-makers to analyze diverse datasets side-by-side and focus on high-level planning strategies without having to contend with the details of data management and manipulation. tails of data management and manipulation. |
