Raw Hdf5 Standardization
Standardize raw research data into metadata-rich HDF5 files and update Python simulation or measurement code to export consistent raw HDF5 datasets. Use when Codex needs to reorganize raw csv/txt/dat/npy data, add metadata, design HDF5 schemas, enforce raw-data naming conventions, validate HDF5 structure, preserve original raw files while creating standardized copies, or answer Chinese requests s…
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Processed Data Export
Export plotting-ready processed research data from raw files, especially raw HDF5, into standardized CSV files with paired YAML metadata. Use when Codex needs to extract datasets such as time, temperature, power, voltage, or current from raw HDF5, compute derived plotting columns, create tidy long-form processed data, add traceability to source files/datasets/scripts, or convert existing processi…