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Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset

This manuscript documents geological master data and X-ray fluorescence (XRF) data of a standardized 8*8 km sampling grid of the entire Weiße Elster catchment in Central Germany. Further, the manuscript documents XRF data of a refined 4*4 km sampling grid in the proximity of Salsitz floodplain trans...

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Autores principales: Ballasus, Helen, von Suchodoletz, Hans, Schneider, Birgit, Grün, Hermann, Heller, Anna, Kind, Marie-Sophie, Wroblewski, Bennet, Wurlitzer, Stefan, Zielhofer, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713116/
https://www.ncbi.nlm.nih.gov/pubmed/34993286
http://dx.doi.org/10.1016/j.dib.2021.107719
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author Ballasus, Helen
von Suchodoletz, Hans
Schneider, Birgit
Grün, Hermann
Heller, Anna
Kind, Marie-Sophie
Wroblewski, Bennet
Wurlitzer, Stefan
Zielhofer, Christoph
author_facet Ballasus, Helen
von Suchodoletz, Hans
Schneider, Birgit
Grün, Hermann
Heller, Anna
Kind, Marie-Sophie
Wroblewski, Bennet
Wurlitzer, Stefan
Zielhofer, Christoph
author_sort Ballasus, Helen
collection PubMed
description This manuscript documents geological master data and X-ray fluorescence (XRF) data of a standardized 8*8 km sampling grid of the entire Weiße Elster catchment in Central Germany. Further, the manuscript documents XRF data of a refined 4*4 km sampling grid in the proximity of Salsitz floodplain transect as well as grain size data and XRF data of Salsitz SC40 core that was recovered from the Weiße Elster floodplain. The data provide opportunities for hydro-sedimentary provenance analyses as presented in the corresponding research article by Ballasus et al. [1].
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spelling pubmed-87131162022-01-05 Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset Ballasus, Helen von Suchodoletz, Hans Schneider, Birgit Grün, Hermann Heller, Anna Kind, Marie-Sophie Wroblewski, Bennet Wurlitzer, Stefan Zielhofer, Christoph Data Brief Data Article This manuscript documents geological master data and X-ray fluorescence (XRF) data of a standardized 8*8 km sampling grid of the entire Weiße Elster catchment in Central Germany. Further, the manuscript documents XRF data of a refined 4*4 km sampling grid in the proximity of Salsitz floodplain transect as well as grain size data and XRF data of Salsitz SC40 core that was recovered from the Weiße Elster floodplain. The data provide opportunities for hydro-sedimentary provenance analyses as presented in the corresponding research article by Ballasus et al. [1]. Elsevier 2021-12-16 /pmc/articles/PMC8713116/ /pubmed/34993286 http://dx.doi.org/10.1016/j.dib.2021.107719 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Ballasus, Helen
von Suchodoletz, Hans
Schneider, Birgit
Grün, Hermann
Heller, Anna
Kind, Marie-Sophie
Wroblewski, Bennet
Wurlitzer, Stefan
Zielhofer, Christoph
Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset
title Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset
title_full Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset
title_fullStr Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset
title_full_unstemmed Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset
title_short Hydro-sedimentary provenance analyses in the Weiße Elster catchment (Central Germany): The basic dataset
title_sort hydro-sedimentary provenance analyses in the weiße elster catchment (central germany): the basic dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713116/
https://www.ncbi.nlm.nih.gov/pubmed/34993286
http://dx.doi.org/10.1016/j.dib.2021.107719
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