Ben Domenico
Draft last modified:
December 3, 2004
NcML is an XML dialect used to describe individual netCDF files or aggregations of such files. At present, it has three systematically defined elements and and addtional element that can be used for additional metadata.
| Sub elements | Contains | Examples | Additional Information | |
| NcML Core | XML representation of metadata in an existing netCDF file or class of files:
In essence, this covers everything in the netCDF file except the data values themselves. |
global attributes:
dimensions:
variables:
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For existing netCDF files, this information can be extracted automatically from the file itself. | |
| NCML Coordinate System | Detailed information about the general or georeferenced coordinate system being used. | Many netCDF files -- especially those that conform to well-defined conventions have information about the coordinate system of the dataset. NCML-CS is a means of specifying that information in XML. |
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| NcML Dataset | Subsetting | Pointers to subsets of data withing a netCDF file or dataset |
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| Aggregation | Pointers to a set of netCDF files that comprise a netCDF dataset which can be thought of as a virtual netCDF file. |
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| Combination | Pointers to subets of a collection of existing netCDF files that comprise a netCDF dataset. |
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| Enhanced Metadata | Can be any additional information someone thinks is valuable in describing the dataset | A simple example might be a brief description of the class of dataset (for example WRF model output) and/or a pointer to a document describing the class of data. In a more sophisticated setting, a data mining engine could scan a collection of netCDF files to determine the max and min values for all the variables and dimensions, for example. This information could be included in the NcML as enhanced metadata for each file or for a collection of files in a dataset. A more sophisticated engine might use the coordinate system information to determine the dimension subsets that correspond to a geographical region and then determine the max and min variable values for that region. |
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