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Horňas, Jan Data for LambNet-T: A lightweight path-conditional transformer autoencoder for temperature-aware baseline learning in Lamb-wave SHM Mendeley Data Data for the paper: "Data for LambNet-T: A lightweight path-conditional transformer autoencoder for temperature-aware baseline learning in Lamb-wave SHM" by: J. Horňas (hornas@VZLU.cz), O. Vích, L. Šedková, I. Mlch, B. Cabrnoch, M. Král Institution: VZLU AEROSPACE, a.s. Address: Beranových 130, 19900 Prague, Czech Republic DOI: https://doi.org/10.1016/j.ultras.2026.107973 The root directory of the supplementary data contains a README.pdf file describing the data observation, along with Comma-Separated Values (CSV) files corresponding for each Baseline and Diagnostic measurement at 13 different temperatures in [-10, 50] °C range with 5 °C step across all transducer paths (e.g., 1-7, 1-9, ..., 7-11) for impact I1 and impact I2 at 40 and 50 kHz of excitation frequency. The directory structure is as follows: / ├─ README.pdf ├─ 01_Baseline_40kHz_I1.csv ├─ 01_Diagnostic_40kHz_I1.csv ├─ 02_Baseline_50kHz_I1.csv ├─ 02_Diagnostic_50kHz_I1.csv ├─ 03_Baseline_40kHz_I2.csv ├─ 03_Diagnostic_40kHz_I2.csv ├─ 04_Baseline_50kHz_I2.csv └─ 04_Diagnostic_50kHz_I2.csv* ├─ row id 1 (column-wise notation): P01-07_T-10C, ..., P07-11_T50C ├─ row id 2 (1st time sample): 164E-15, ..., 1.80E-14 ├─ row id 3 (2nd time sample): -7.4727, ..., -5.5183 ├─ . . . └─ row id 6001 (6000th time sample): -70.667, ..., -57.333 * Column-wise structure of signal for specific sensor path (P) and temperature (T) in °C for 04_Diagnostic_50kHz_I2.csv as an example. Each time sample represents the amplitude value in mV. -------- IF ANY DATASET IS USED, PLEASE CITE RELATED REFERENCE LISTED BELOW -------- [1] Jan Horňas et al. “LambNet-T: A lightweight path-conditional transformer autoencoder for temperature-aware baseline learning in Lamb-wave SHM”. In: Ultrasonics (2026). ISSN: 0041-624X. DOI: https://doi.org/10.1016/j.ultras.2026.107973. Composite Material Ultrasonics Machine Learning Similarity Measure Time Series Structural Health Monitoring Temperature Compensation Deep Learning Autoencoder Data Augmentation Transformer-Based Deep Learning Dataset doi:10.17632/d9pzsm33gy.1 oai:data.mendeley.com/d9pzsm33gy.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/d9pzsm33gy 2026-01-26T11:59:18Z