Digital Image Correlation (DIC) Strain Data of Minerals Under Temperature Evolution

This dataset provides Digital Image Correlation (DIC) strain data for minerals, specifically biotite, plagioclase, quartz, and amphibole, as they undergo temperature changes. The DIC technique is used to measure the strain distribution within these minerals, providing valuable insights into their mechanical behavior and deformation characteristics in response to thermal variations. The thermal strain of mineral grain and grain boundary are obtain by averaging the thermal strain of micro-pillars as the listed in the following table. Pillar No. Mineral type Grain boundry type Notes p1 Am, Bt Am-Bt p2 Am, Qz Am-Qz p3 Am, Qz Am-Qz p4 Qz, Bt Qz-Bt p5 Qz, Bt Qz-Bt p6 Pl, Qz Pl-Qz p7 Bt, Pl Bt-Pl p8 Bt, Pl Bt-Pl p9 Bt, Pl Bt-Pl p10 Pl, Qz Pl-Qz p11 Pl, Qz Pl-Qz p12 Pl, Qz Pl-Qz p13 Pl, Qz Pl-Qz p14 Pl, Qz Pl-Qz p15 Am, Pl Am-Pl p16 Bt, Qz Bt-Qz p17 Am, Pl Am-Pl p18 Am, Bt Am-Bt p19 Am, Bt Am-Bt p20 Am, Pl Am-Pl p21 Am, Pl Am-Pl p22 Am, Pl Am-Pl p23 Am, Pl Am-Pl p24 Bt, Am Bt-Am p25 Bt, Am Bt-Am p26 Am, Qz Am-Qz p27 Am, Qz Am-Qz p28 Am, Qz Am-Qz