engineering and scientific data management

sigclear-soig is a data management package, highly optimized for large-scale, multi-physics, multi-dimensional, non-regularized engineering data. It defines a set of universal APIs handle complicated engineering/scientific data in different fields. It also provides basic programs for researchers to create, manage, and QC their data in experiments.

Features: self-organized independent-grouping

Scientific or engineering datasets are organized as a set of small independent groups. Each group may have one or more data columns for sensor arrays. Each columns may have one or more vector or scalar fields to store multi-physical measurements and experimental parameters.

Benefits

automatic data analysis

Independent groups can be automatically distributed to lots of computing nodes for parallel. Groups, columns and vectors provides information for automatic QC with figures of multi-page, multi-plots and multi-graph.

large data support

Large datasets are accessed group by group in the memory. All sigclear programs are only need to be designed to handle a group of data.

convenient for developers

  • automatic group access for large-scale data
  • universal access for multi-physic variables
  • adaptive parameter always together with data

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finite difference seismic modelling

This example involves different kind of data, velocity model and density model in depth domain, seismic source in time domain, observation geometry of hydrophone on the water surface and geophone on the water bottom, the synthetic seismic observed by hydrohpones and geophones, and the QC time slicing data. sigclear-soig can handle all these data together with their physical parameters conveniently.

FAQ

What is the difference between sigclear data management and SQL database?

sigclear-soig is optimized for numerical data, such as matrix, arrays of binary float, double format. These data are usually observed from engineering sensors, or generated by scientific software algorithms. sigclear-soig is not suitable for customer or order information which is commonly gathered from websites and handled by SQL database.

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