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Dataset of dust mas...
Dataset of dust mass accumulation rates for the loess-palaeosol sequences from the Carpathian Basin
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- Perić, Zoran M. (author)
- Lund University,Lunds universitet,Kvartärgeologi,Geologiska institutionen,Naturvetenskapliga fakulteten,Quaternary Sciences,Department of Geology,Faculty of Science
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- Stevens, Thomas, 1979- (author)
- Uppsala universitet,Uppsala University,Luft-, vatten- och landskapslära
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- Obreht, Igor (author)
- University of Bremen,MARUM – Center For Marine Environmental Sciences
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- Marković, Slobodan B. (author)
- University of Novi Sad
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- English.
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In: Data in Brief. - : Elsevier BV. - 2352-3409. ; 44
- Related links:
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http://dx.doi.org/10... (free)
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https://doi.org/10.1...
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Abstract
Subject headings
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- In this article, a dataset of age-depth modelling data, sedimentation rates and dust mass accumulation rates (MAR) from four loess-palaeosol sequences from the Carpathian Basin is presented. The dataset is related to the article “Detailed luminescence dating of dust mass accumulation rates over the last two glacial-interglacial cycles from the Irig loess-palaeosol sequence, Carpathian Basin”, published in the journal Global and Planetary Change by Perić et al. [1]. In the dataset, luminescence ages from the loess sites Irig, Nosak, Stari Slankamen and Crvenka were modeled using the r.bacon software after which the dust mass accumulation rates were calculated. For a more realistic representation the MARs were subsequently smoothed using the SigmaPlot software. For all sites, minimum, maximum, median and mean values for the modelled ages and accumulation rates are calculated and presented.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Multidisciplinär geovetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Geosciences, Multidisciplinary (hsv//eng)
Keyword
- Age-depth model
- Atmospheric dust activity
- Loess-palaeosol sequences
- MAR
- R.bacon
- Sedimentation rates
Publication and Content Type
- art (subject category)
- ref (subject category)
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