Latvian herbal medicines under the infrared lens: An FTIR-ATR dataset

Sep 30, 2026

Uploaded by Patrick

Herbal medicine use of plant-derived products for prophylactic and therapeutic purposes is accelerating, driving demand for advanced analytical approaches. This dataset provides distinctive FTIR-ATR spectral “fingerprints” for Latvian medicinal plants, supporting plant identification and medicinal quality control. Spectra were collected using Fourier-transform infrared spectroscopy with attenuated total reflectance, with minimal preparation by grinding samples into fine powder.

LanguageEnglish

CategoryHealthcare

FormatPDF

Pages8

Reading Time20 min

AccessFree to download

Contents

Data Article

Abstract

Specifications Table

Value of the Data

Data in Brief 64 (2026) 112378 Contents lists available at ScienceDirect Data in Brief journal [homepage:](homepage: www.elsevier.com/locate/dib)[ www.elsevier.com/locate/dib](homepage: www.elsevier.com/locate/dib) Data Article Latvian herbal medicines under the infrared lens: An FTIR-ATR dataset Una 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 a Department of Applied Pharmacy, Riga Stradin¸ š University, LV-1007 Riga, Latvia b 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 a r t i c l e i n f o Article history: Received 4 September 2025 Revised 4 December 2025 Accepted 5 December 2025 Available online 11 December 2025 Dataset link: Latvian Herbal Medicines Under the Infrared Lens: An FTIR-ATR Dataset (Original data) Keywords: Fingerprinting Chemical proﬁling Plant identiﬁcation Medicinal plants Plant characterization ∗ Corresponding author. a b s t r a c t As 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. The 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- E-mail [address:](address: UnaLote.Vitolina@rsu.lv)[ UnaLote.Vitolina@rsu.lv](address: UnaLote.Vitolina@rsu.lv) (U.L. Vtolin¸ a). [https://doi.org/10.1016/j.dib.2025.112378](https://doi.org/10.1016/j.dib.2025.112378) 2352-3409/© 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/)) 2 U.L. V¯ıtolin¸ a, J. Kr¯umin¸ š and R. Teterovska et al. / Data in Brief 64 (2026) 112378 ous 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. © 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/)) Speciﬁcations Table | Subject | Health Sciences, Medical Sciences & Pharmacology | | --- | --- | | Speciﬁc subject area | The study applies a non-destructive method, FTIR-ATR Spectroscopy, to obtain ﬁngerprint spectra of Latvian medicinal plants. | | Type of data | Pre-processed
Table (.csv format) | | 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.
Herbal samples were selected fr

FAQs

What analytical method was used to generate the dataset?

The dataset was generated using Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) to produce spectral fingerprint patterns for Latvian medicinal plants.

How were the plant samples prepared before FTIR-ATR measurement?

Sample preparation was minimal: medicinal plants were ground into fine powder before measurement.

What does the dataset contain and how is it organized?

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.

Sep 30, 2026

Uploaded by Patrick