Multimodal Image and Acoustic Dataset of Paulownia Guqin Soundboards

The dataset contains 16 kiln-dried Paulownia guqin soundboards from the same batch, indexed from Q001 to Q016. All samples were in the initial hollowed white-wood stage and had not been coated with lacquer or ash ground.

A robotic arm was used to perform standardized mo-style string excitation, and a twelve-channel microphone array was used to synchronously record acoustic responses. Soundboard images, ROI images, raw acoustic engineering files and a field acquisition video were also recorded.The dataset contains 74 files with a total volume of approximately 383.66 MB. It consists of four main parts: (1) image data, including 16 raw JPG images and 16 ROI PNG images with alpha channels; (2) acoustic data, including 16 twelve-channel WAV files recorded at 48 kHz and 16-bit PCM; (3) engineering and field records, including 16 raw HEAD acoustics datafile format files and one MOV video; and (4) feature, quality-control and metadata files, including a 147-dimensional image feature matrix, a 1,074-dimensional acoustic feature matrix, a channel-level quality-control matrix, sample metadata, a data dictionary, a file manifest and a Q001 reuse workflow example.All tabular data use qin_id as the cross-modal primary key, allowing images, audio recordings, feature matrices and quality-control labels to be linked consistently.