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One of echoSMs objectives is to encourage the use of common data structures (and perhaps file formats) for organism shapes and properties. The aim is to make it easier to use (and reuse) organism data across multiple models and implementations.
Currently, echoSMs uses:
TOML-formatted files for:
Body shapes for the KRM model
Body shapes for the DWBA and SDWBA models
Benchmark model parameters given in the Jech et al paper
STL-formatted files for triangular surface meshes
CSV-formatted files for:
Model results for the Jech et al benchmarks
Model results for various KRM and DWBA test models
Previous examples of fisheries acoustics file formats indicate that specifying a data structure rather than a file format is a better long-term solution as it gives greater flexibility and ability to adapt to new file formats and to accommodate the varying requirements of institutional data policies and preferences.
Developing a data structure then requires information on:
the data required to run scattering models
whether storage of raw organism shape data is necessary (e.g., x-ray data)
metadata required to understand the model data (e.g., units, coordinate conventions, data source, attributions, etc)
relevant relationships between these data
File formats that can readily store proposed data structures should be kept in mind and examples provided. Use of existing file and data formats should be preferred over developing new ones (this significantly reduces the effort required to use those formats in programming languages).
The text was updated successfully, but these errors were encountered:
One of echoSMs objectives is to encourage the use of common data structures (and perhaps file formats) for organism shapes and properties. The aim is to make it easier to use (and reuse) organism data across multiple models and implementations.
Currently, echoSMs uses:
TOML-formatted files for:
STL-formatted files for triangular surface meshes
CSV-formatted files for:
Previous examples of fisheries acoustics file formats indicate that specifying a data structure rather than a file format is a better long-term solution as it gives greater flexibility and ability to adapt to new file formats and to accommodate the varying requirements of institutional data policies and preferences.
Developing a data structure then requires information on:
File formats that can readily store proposed data structures should be kept in mind and examples provided. Use of existing file and data formats should be preferred over developing new ones (this significantly reduces the effort required to use those formats in programming languages).
The text was updated successfully, but these errors were encountered: