Journal: Data in Brief

Article Title: GrainShape: A landmark-annotated image dataset of japonica rice grains for geometric morphometric analysis

doi: 10.1016/j.dib.2025.111781

Figure Lengend Snippet: Correlation analysis between grain measurement distances and principal components (PC1–PC5). (a) Schematic diagram showing the radial measurement distances from the center of the rice grain. “dist1” and “dist5” represent the standard length and width measures, respectively. The remaining six radial lines, labelled “dist2” through “dist8,” represent the grain's curvature parameters, capturing straight-line distances at various angles from the center. (b) Heatmap of the correlation analysis between the grain measurement distances (dist1 to dist8) and the first five principal components (PC1–PC5).

Article Snippet: Fig 4 Following the centroid‐distance signature concept widely used in computer vision and morphometrics, we measured straight‐line radii (dist1–dist8) at fixed angles from the grain midpoint.

Techniques:

Journal: Data in Brief

Article Title: GrainShape: A landmark-annotated image dataset of japonica rice grains for geometric morphometric analysis

doi: 10.1016/j.dib.2025.111781

Figure Lengend Snippet: Grain-shape violin plots. (a) Eight linear distances (dist1–dist8) and (b) the first five principal component scores (PC1–PC5) for all 231 grains. Each grey violin represents the kernel density distribution of a trait; its width reflects the local probability density. Black contours outline the violins, jittered black dots show individual grain values, and the red horizontal line indicates the trait mean. Axes use independent vertical scales.

Article Snippet: Fig 4 Following the centroid‐distance signature concept widely used in computer vision and morphometrics, we measured straight‐line radii (dist1–dist8) at fixed angles from the grain midpoint.

Techniques: