Dataset of chemical elements concentrations in snow samples collected in Jelgava City (Latvia) in 2021, 2022, 2023

This article presents datasets on the concentrations of chemical elements in snow samples collected in the city of Jelgava. Snow samples were collected on January 9, 2021, February 4, 2022, and January 9, 2023. Snow was allowed to accumulate for at least six days before sampling. Snow samples were collected at 59 monitoring points in Jelgava and at one site outside the city, which served as a control. The collected snow samples were analysed using ICP-MS. The following elements were analysed in the samples: aluminum (Al), silicon (Si), chromium (Cr), manganese (Mn), iron (Fe), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), molybdenum (Mo), cadmium (Cd), barium (Ba), tungsten (W), and lead (Pb). All datasets from the 2021-2023 sampling campaigns are openly available in the Mendeley Data repository. The concentrations showed high variability, with Zn ranging from 3.44 to 35.12 µg/L (median 7.5 µg/L) and Pb up to 3.77 µg/L in 2021, while the control site showed a Pb value of 0.95 µg/L, reflecting differences between urban sites and the rural reference point. The compiled dataset has fundamental scientific value, as it provides a reliable basis for local and regional analyses of urban air quality. In addition, it supports the evaluation of the city's green infrastructure and its role in improving air quality. The dataset is also valuable for assessing the effectiveness of pollution mitigation measures implemented in Jelgava and for identifying priority areas where additional actions may be needed.

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Publication Details

Journal
Data in Brief
Published
2025-10-18
DOI
https://doi.org/10.1016/j.dib.2025.112197
Primary Topic
Smart Materials for Construction
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article
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article

Dataset of chemical elements concentrations in snow samples collected in Jelgava City (Latvia) in 2021, 2022, 2023

Anda Bakute, Māris Bērtiņš, Inga Grīnfelde, Jovita Pilecka-Uļčugačeva et al.
Data in Brief
Smart Materials for Construction
article

Dataset of chemical elements concentrations in snow samples collected in Jelgava City (Latvia) in 2021, 2022, 2023

Anda Bakute, Māris Bērtiņš, Inga Grīnfelde, Jovita Pilecka-Uļčugačeva, Kristaps Siltumens, Artūrs Vīksna, Sindija Frienberga
article en

Abstract

This article presents datasets on the concentrations of chemical elements in snow samples collected in the city of Jelgava. Snow samples were collected on January 9, 2021, February 4, 2022, and January 9, 2023. Snow was allowed to accumulate for at least six days before sampling. Snow samples were collected at 59 monitoring points in Jelgava and at one site outside the city, which served as a control. The collected snow samples were analysed using ICP-MS. The following elements were analysed in the samples: aluminum (Al), silicon (Si), chromium (Cr), manganese (Mn), iron (Fe), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), molybdenum (Mo), cadmium (Cd), barium (Ba), tungsten (W), and lead (Pb). All datasets from the 2021-2023 sampling campaigns are openly available in the Mendeley Data repository. The concentrations showed high variability, with Zn ranging from 3.44 to 35.12 µg/L (median 7.5 µg/L) and Pb up to 3.77 µg/L in 2021, while the control site showed a Pb value of 0.95 µg/L, reflecting differences between urban sites and the rural reference point. The compiled dataset has fundamental scientific value, as it provides a reliable basis for local and regional analyses of urban air quality. In addition, it supports the evaluation of the city's green infrastructure and its role in improving air quality. The dataset is also valuable for assessing the effectiveness of pollution mitigation measures implemented in Jelgava and for identifying priority areas where additional actions may be needed.

Data in BriefVol. 63
Latvia University of Life Sciences and Technologies (LV), Kaunas University of Applied Engineering Sciences (LT), Kauno Mišku ir Aplinkos Inžinerijos Kolegija (LT), University of Latvia (LV)
Openalex Percentile: Top 77%
Smart Materials for Construction
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