The Leeds Skin Database - LSDB

The Leeds Skin Database (LSDB) offers a detailed collection of spectral and colorimetric data for human skin, encompassing 15,256 records from 2,113 subjects. This data spans from 2012 to 2024 and originates from eleven datasets curated by international laboratories in eight countries: the UK, Spain, China, Japan, Pakistan, Thailand, Iraq, and Saudi Arabia. Each dataset follows a standardised measurement protocol to maintain data consistency.In the LSDB, individual records provide extensive details including record number, data origin, subject identification, and skin type—categorised by ethnicity, gender, age, and body location. The database also includes detailed information on the measurement instruments used, such as type, specular component inclusion, wavelength range and interval.Alongside spectral data, each sample also contains CIE colorimetric data, including tristimulus values, xy chromaticity coordinates, CIELAB parameters, etc., based on the CIE 1931 standard colorimetric observer and the CIE standard illuminant D65.The database is organised into two primary spreadsheets: a coding scheme and a datasheet. The datasheet arranges data across columns labelled A to BQ:A: Unique record identifierB: Data origin (linked to an origin table in the coding scheme)C: Subject numberD to G: Ethnicity, gender, age group, and body location (each linked to respective reference tables in the coding scheme)H to L: Instrument details including type and spectral measurement specificsN to BD: Spectral data from 360 nm to 780 nmBF to BQ: CIE colorimetric dataNote: Not all columns contain data due to variations in the spectral range covered by different datasets.This structured format ensures that users can easily access and interpret data for diverse research applications.<br>Any use of the LSDB should cite the following reference: Lu, Yan; Xiao, Kaida; Pointer, Michael; He, Ruili; Zhou, Sicong; Nasseraldin, Ahmed; et al. (2025). The Leeds Skin Database - LSDB. figshare. Dataset. https://doi.org/10.6084/m9.figshare.28228571.v1Support and Contact Information: For technical support or queries related to the database, please contact Prof. Kaida Xiao ([e-mail]) and Dr Yan Lu ([e-mail]).<br>