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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)

Author

Listed:
  • Jovita Pilecka-Ulcugaceva

    (Institute of Landscape Architecture and Environmental Engineering, Latvia University of Life Sciences and Technologies, Liela Street 2, LV-3001 Jelgava, Latvia)

  • Maris Bertins

    (Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia)

  • Maris Nitcis

    (Institute of Life Science and Technologies, Daugavpils University, Vienibas 13, LV-5400 Daugavpils, Latvia)

  • Paula Miezaka

    (Institute of Landscape Architecture and Environmental Engineering, Latvia University of Life Sciences and Technologies, Liela Street 2, LV-3001 Jelgava, Latvia)

  • Inga Grinfelde

    (Institute of Landscape Architecture and Environmental Engineering, Latvia University of Life Sciences and Technologies, Liela Street 2, LV-3001 Jelgava, Latvia
    Lietuvos Inžinerijos Kolegija, Higher Education Institution, Tvirtovės al. 35, LT-50155 Kaunas, Lithuania)

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 ) HNO 3 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 “

Suggested Citation

  • Jovita Pilecka-Ulcugaceva & Maris Bertins & Maris Nitcis & Paula Miezaka & Inga Grinfelde, 2026. "A Georeferenced Dataset of Chemical Element Concentrations in Urban Snow from Two Six-Day Accumulation Events in Jelgava City, Latvia (2024 and 2025)," Data, MDPI, vol. 11(9), pages 1-15, September.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:9:p:237-:d:2040519
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