The dataset comprises various types of experimental data collected to investigate how strain affects the mechanical properties of tendons. Specifically, solid-state nuclear magnetic resonance (NMR) 13C spectra were acquired using a Bruker spectrometer with parameters optimized for tendon samples: operating at -35°C and utilizing a Magic-Angle Spin Coherence (MAS) rate of either 9 kHz or 2.2 kHz.

Gaussian NMR shielding tensor calculations, based on molecular dynamics simulations of collagen triple helices under strain, provide insights into how these tensors change upon mechanical stress. These simulations utilize data from the Zenodo repository to model the structural and functional alterations in tendon tissue (10.5281/zenodo.7107608).

To further analyze alignment effects alongside changes in shielding tensors, the Spinach library in Matlab was employed for NMR spectral simulations with partial alignment parameters. This approach allowed researchers to study both alignment-dependent properties and tensor modifications under varying strain conditions.

Phase-contrast microscopy images were utilized to visualize morphological changes in tendons subjected to different strains compared to unstrained samples, offering a detailed structural analysis of tendon integrity and remodeling responses.

Additionally, stress-strain curves recorded using a Deben tensile stage provided quantitative measures of elastic modulus and deformation properties. These datasets enable a comprehensive understanding of how mechanical strain influences the overall behavior and resilience of tendons under various loading conditions.