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\njournal [homepage:](homepage: www.elsevier.com/locate/dib)[ www.elsevier.com/locate/dib](homepage: www.elsevier.com/locate/dib)  \nData Article  \nLatvian herbal medicines under the infrared lens: An FTIR-ATR dataset  \nUna Lote Vtolin¸ aa,b,∗, Jurģis Kr¯umin¸ š a, Ren¯ate Teterovskaa,b, Ance B¯arzdin¸ aa,b, Baiba Maurin¸ aa,b, Dace Banderea,b, Agnese Branguleb,c  \na Department of Applied Pharmacy, Riga Stradin¸ š University, LV-1007 Riga, Latvia  \nb Baltic Biomaterials Centre of Excellence, Headquarters at Riga Technical University, LV-1658 Riga, Latvia c Department of Pharmacology and Pharmacotherapy, Riga Stradin¸ š University, LV-1007 Riga, Latvia  \na r t i c l e i n f o  \nArticle history:  \nReceived 4 September 2025  \nRevised 4 December 2025  \nAccepted 5 December 2025  \nAvailable online 11 December 2025  \nDataset link: Latvian Herbal Medicines Under the Infrared Lens: An FTIR-ATR Dataset (Original data)  \nKeywords: Fingerprinting Chemical profiling Plant identification Medicinal plants Plant characterization  \n∗ Corresponding author.  \na b s t r a c t  \nAs more individuals use plant-derived products as prophylactic and therapeutic remedies, the herbal medicine market continues to grow rapidly. This trend shows the need for more advanced analytical methods, such as spectral “fingerprinting” – creating spectrum with a distinctive pattern, which is further used as a unique identifier for a plant. The dataset was generated using Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) to produce distinctive spectral fingerprints of Latvian medicinal plants: red and white clover, purple coneflower, cowslip, common jasmine, sandy everlasting, horse chestnut, pot marigold, chamomile, coltsfoot, common daisy, elderberry, cornflower, Jerusalem artichoke, fireweed, common and Midland hawthorn, small-leaved and large-leaved lime, yarrow, and meadowsweet.  \nThe samples were obtained from ten Latvian herbal medicine producers, along with one additional sample collected independently by Riga Stradin¸ š University researchers. The analytical method requires minimal sample preparation, involving only the grinding of medicinal plants into fine powder. The research yielded 329 spectra, each corresponding to a distinct species of medicinal plant, which are sorted in 19 CSV files. These files contain spectral data suitable for vari-  \nE-mail [address:](address: UnaLote.Vitolina@rsu.lv)[ UnaLote.Vitolina@rsu.lv](address: UnaLote.Vitolina@rsu.lv) (U.L. Vtolin¸ a).  \n[https://doi.org/10.1016/j.dib.2025.112378](https://doi.org/10.1016/j.dib.2025.112378)  \n2352-3409/© 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ([http://creativecommons.org/licenses/by/4.0/](http://creativecommons.org/licenses/by/4.0/))  \n2 U.L. V¯ıtolin¸ a, J. Kr¯umin¸ š and R. Teterovska et al. / Data in Brief 64 (2026) 112378  \nous applications, including chemical characterization, species classification, and quality control. In addition, the dataset can be used for multivariate data analysis or chemometrics andwill allow for signal processing and spectroscopic data handling.  \n© 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license  \n([http://creativecommons.org/licenses/by/4.0/](http://creativecommons.org/licenses/by/4.0/))  \nSpecifications Table  \n\n| Subject | Health Sciences, Medical Sciences & Pharmacology |\n| --- | --- |\n| Specific subject area | The study applies a non-destructive method, FTIR-ATR Spectroscopy, to obtain fingerprint spectra of Latvian medicinal plants. |\n| Type of data | Pre-processed\u003Cbr>Table (.csv format) |\n| Data collection | The dataset consists of 19 files (.csv format) containing 329 FTIR-ATR spectra and one table (.csv format) providing a summary of the names of medicinal plants in English, Latin, and Latvian.\u003Cbr>Herbal samples were selected fr","cbCaiiRrgWQgsi48","https://ap.wps.com/l/cbCaiiRrgWQgsi48","pdf",721234,"English","# Contents\n## Data Article\n## Abstract\n## Specifications Table\n## Value of the Data","[{\"question\":\"What analytical method was used to generate the dataset?\",\"answer\":\"The dataset was generated using Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) to produce spectral fingerprint patterns for Latvian medicinal plants.\"},{\"question\":\"How were the plant samples prepared before FTIR-ATR measurement?\",\"answer\":\"Sample preparation was minimal: medicinal plants were ground into fine powder before measurement.\"},{\"question\":\"What does the dataset contain and how is it organized?\",\"answer\":\"It includes 329 FTIR-ATR spectra for distinct medicinal plant species, sorted into 19 CSV files, along with a summary table providing plant names in English, Latin, and Latvian.\"}]","Latvian herbal medicines under the infrared lens: An FTIR-ATR dataset | PDF",1790738045]