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  • Journal:A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis
    |alt = <!-- Alternative text for images --> ...cess across large,<br />diverse data collections for high performance data analysis
    72 KB (10,025 words) - 16:24, 29 April 2024
  • Main Page/Featured article of the week/2018
    | text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the w Welcome to the LIMSwiki 2018 archive for the Featured Article of the Week.
    77 KB (10,993 words) - 20:36, 3 April 2024
  • Journal:Building open access to research (OAR) data infrastructure at NIST
    |alt = <!-- Alternative text for images --> |title_full = Building open access to research (OAR) data infrastructure at NIST
    26 KB (3,615 words) - 16:35, 29 April 2024
  • Book:LIMSjournal - Fall 2018
    ...then by author, with the author and publication year appearing at the end for your convenience. ;1. Data science and big data
    4 KB (504 words) - 14:58, 7 December 2018
  • File:Fig2 Evans Informatics2017 4-4.jpg
    ...iment), which then contains numerous granules (e.g., precipitation, “pr”). A complete description on the range of CMIP5 contents can be found at: https: ...ic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Ric
    (550 × 310 (83 KB)) - 18:29, 13 August 2018
  • File:FigA1 Evans Informatics2017 4-4.png
    ...is used to explain the nature of the errors found and list possible means for modification. ...ic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Ric
    (3,410 × 4,168 (2.95 MB)) - 22:14, 13 August 2018
  • File:FigA2b Evans Informatics2017 4-4.png
    ...he third section provides the results of the functionality tests using the data served through NCI’s THREDDS services. ...ic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Ric
    (3,655 × 5,144 (4.47 MB)) - 22:21, 13 August 2018
  • File:FigA2c Evans Informatics2017 4-4.png
    ...he third section provides the results of the functionality tests using the data served through NCI’s THREDDS services. ...ic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Ric
    (3,628 × 5,135 (3.4 MB)) - 22:24, 13 August 2018
  • File:FigA2 Evans Informatics2017 4-4.png
    ...he third section provides the results of the functionality tests using the data served through NCI’s THREDDS services. ...ic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Ric
    (3,598 × 4,943 (3.94 MB)) - 22:19, 13 August 2018
  • File:Fig1 Evans Informatics2017 4-4.png
    ...ustration of the different levels of metadata and community standards used for each ...ic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Ric
    (3,714 × 1,803 (1.07 MB)) - 18:29, 10 August 2018
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