Difference between revisions of "File:Fig2 Evans Informatics2017 4-4.jpg"
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==Summary== | |||
{{Information | |||
|Description='''Figure 2.''' Example schematic of the National Computational Infrastructure (NCI)’s data organizational structure using the Coupled Model Intercomparison Project (CMIP)) 5 collection. The CMIP 5 collection housed at NCI includes three sub-collections from The Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Australian Bureau of Meteorology (BOM): (1) the ACCESS-1.0 model, (2) ACCESS-1.3 model, and (3) Mk 3.6.0 model. Each sub-collection then contains a number of datasets, such as “piControl” (pre-industrial control experiment), which then contains numerous granules (e.g., precipitation, “pr”). A complete description on the range of CMIP5 contents can be found at: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html. | |||
|Source={{cite journal |title=A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis |journal=Informatics |author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Richards, C.; Wyborn, L. |volume=4 |issue=4 |page=45 |year=2017 |doi=10.3390/informatics4040045}} | |||
|Author=Evans, B.; Druken, K.; Wang, J.; Yang, R.; Richards, C.; Wyborn, L. | |||
|Date=2017 | |||
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International] | |||
}} | |||
== Licensing == | == Licensing == | ||
{{cc-by-4.0}} | {{cc-by-4.0}} | ||
Latest revision as of 18:29, 13 August 2018
Summary
| Description |
Figure 2. Example schematic of the National Computational Infrastructure (NCI)’s data organizational structure using the Coupled Model Intercomparison Project (CMIP)) 5 collection. The CMIP 5 collection housed at NCI includes three sub-collections from The Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Australian Bureau of Meteorology (BOM): (1) the ACCESS-1.0 model, (2) ACCESS-1.3 model, and (3) Mk 3.6.0 model. Each sub-collection then contains a number of datasets, such as “piControl” (pre-industrial control experiment), which then contains numerous granules (e.g., precipitation, “pr”). A complete description on the range of CMIP5 contents can be found at: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html. |
|---|---|
| Source |
Evans, B.; Druken, K.; Wang, J.; Yang, R.; Richards, C.; Wyborn, L. (2017). "A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis". Informatics 4 (4): 45. doi:10.3390/informatics4040045. |
| Date |
2017 |
| Author |
Evans, B.; Druken, K.; Wang, J.; Yang, R.; Richards, C.; Wyborn, L. |
| Permission (Reusing this file) |
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Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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