A Georeferenced Dataset of Chemical Element Concentrations in Urban Snow from Two Six-Day Accumulation Events in Jelgava City, Latvia (2024 and 2025)

Urban snow can serve as a passive sampler of atmospheric inputs during a defined accumulation period. This data descriptor presents georeferenced chemical element concentrations in snow collected during two discrete six-day accumulation events in Jelgava City, Latvia: 4–10 January 2024 and 16–22 February 2025. A fixed network of 59 urban monitoring sites and one rural reference site was sampled, with three independent field replicates collected and analysed separately at each location. After melting, the samples were acidified with 1% (v/v) HNO3 for 72 h and filtered through Whatman Grade 541 filter paper with a normal 22 µm particle-retention rating. The reported values therefore represent an operationally defined acid-leachable filtrate fraction rather than total or conventionally dissolved concentrations. Al, Si, Cr, Mn, Fe, Ni, Cu, Zn, As, Mo, Cd, Ba, W, and Pb were measured by inductively coupled plasma mass spectrometry (ICP-MS). Two separate Mendeley Data records each contain one year-specific Excel workbook. The 2024 workbook retains left-censored results as “<0.05” or “<0.01”. In the revised 2025 workbook, results below element-specific LoDs are reported as “

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Published
2026-09-13
DOI
https://doi.org/10.3390/data11090237
Primary Topic
Atmospheric chemistry and aerosols
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article
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A Georeferenced Dataset of Chemical Element Concentrations in Urban Snow from Two Six-Day Accumulation Events in Jelgava City, Latvia (2024 and 2025)

Māris Bērtiņš, Inga Grīnfelde, Jovita Pilecka-Uļčugačeva, Māris Nitcis et al.
Data
Atmospheric chemistry and aerosols
article

A Georeferenced Dataset of Chemical Element Concentrations in Urban Snow from Two Six-Day Accumulation Events in Jelgava City, Latvia (2024 and 2025)

Māris Bērtiņš, Inga Grīnfelde, Jovita Pilecka-Uļčugačeva, Māris Nitcis, Paula Miezaka
article en

Abstract

Urban snow can serve as a passive sampler of atmospheric inputs during a defined accumulation period. This data descriptor presents georeferenced chemical element concentrations in snow collected during two discrete six-day accumulation events in Jelgava City, Latvia: 4–10 January 2024 and 16–22 February 2025. A fixed network of 59 urban monitoring sites and one rural reference site was sampled, with three independent field replicates collected and analysed separately at each location. After melting, the samples were acidified with 1% (v/v) HNO3 for 72 h and filtered through Whatman Grade 541 filter paper with a normal 22 µm particle-retention rating. The reported values therefore represent an operationally defined acid-leachable filtrate fraction rather than total or conventionally dissolved concentrations. Al, Si, Cr, Mn, Fe, Ni, Cu, Zn, As, Mo, Cd, Ba, W, and Pb were measured by inductively coupled plasma mass spectrometry (ICP-MS). Two separate Mendeley Data records each contain one year-specific Excel workbook. The 2024 workbook retains left-censored results as “<0.05” or “<0.01”. In the revised 2025 workbook, results below element-specific LoDs are reported as “

DataVol. 11(9)
Latvia University of Life Sciences and Technologies (LV), Daugavpils University (LV), Kaunas University of Applied Engineering Sciences (LT), Kauno Mišku ir Aplinkos Inžinerijos Kolegija (LT), University of Latvia (LV)
Sustainable cities and communities
Openalex Percentile: Top 15%
Atmospheric chemistry and aerosols
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A Georeferenced Dataset of Chemical Element Concentrations in Urban Snow from Two Six-Day Accumulation Events in Jelgava City, Latvia (2024 and 2025) — Māris Bērtiņš, Inga Grīnfelde, et al. · Data (2026) | TGRS Research Map | TGRS