## FAIR Train tensile testing data This archive contains the raw data measured on a series of metal samples using a tensile testing machine. The archive contains two folders: data and scripts. Folder data contains one folder "dataClass2025" with the following subfolders - rawData- figs- jsonFiles Folder scripts contains a few Python files with auxiliary functions to read raw data, extract properties and save json dictionaries. The folder also contains the jupyter notebook that reads raw data, extracts the properties and saves the dictionaries. The script iterates over Excel files in the data/ folder, reading Sheet1/Sheet2 to extract specimen dimensions and compute engineering/true stress–strain along with key properties (Young’s modulus via elastic fit, 0.2% offset yield, proportional limit, resilience, toughness, and fracture metrics). It then generates plots saved to ../figs/ and builds structured JSON documents—containing raw data, processed arrays, properties, and metadata—saved to ../jsonFiles/ with filenames matching each source file.Sample name and material are parsed from the filename, and arrays are serialized to lists for JSON.