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NOTICE: This version of the NSF Unidata web site (archive.unidata.ucar.edu) is no longer being updated.
Current content can be found at unidata.ucar.edu.
To learn about what's going on, see About the Archive Site.
Netcdf is best for array data, usually on regularly spaced grids. http://www.unidata.ucar.edu/software/netcdf/What is the shape, i.e. dimensionality, of your data? Your description suggests that the data is streams of single values over time. If so, I suspect that Netcdf is overly complicated and not very suitable for your work.
How about a plain text columnar or delimited format, with each line about as you described, and a few appropriate header lines in each file? Nothing beats plain ascii text for portability.
--Dave A. CU/CIRES Climate Diagnostics Center (CDC) NOAA/ESRL/PSD, Climate Analysis Branch (CAB) Magnus Hagdorn wrote:
Hello world, we are currently considering to use the netCDF library to store data coming from our instruments. The data represents multiple variables together with a timestamp of the measurement. Some variables are updated more often than others. Sample rates are of the order of 100Hz to 1000Hz. I was thinking of storing the data as a table with 3 columns, timestamp, ID and value together with some appropriate header. Do you think this is a reasonable idea, are there other more suitable standard formats? Regards magnus ============================================================================== To unsubscribe netcdfgroup, visit: http://www.unidata.ucar.edu/mailing-list-delete-form.html ==============================================================================
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