2 datasets found
  1. e

    A Holocene relative sea-level database for the Baltic Sea - Dataset - B2FIND...

    • b2find.eudat.eu
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    A Holocene relative sea-level database for the Baltic Sea - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c1313845-4407-5da3-a139-5c41d2c22680
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    Area covered
    Baltic Sea
    Description

    We present a compilation and analysis of 1099 Holocene relative shore-level (RSL) indicators including 867 relative sea-level data points and 232 data points from the Ancylus Lake and the following transitional phase from 10.7 to 8.5 ka BP located around the Baltic Sea. The spatial distribution covers the Baltic Sea and near-coastal areas fairly well, but some gaps remain mainly in Sweden. RSL data follow the standardized HOLSEA format and, thus, are ready for spatially comprehensive applications in, e.g., glacial isostatic adjustment (GIA) modelling. Sampling method The data set is a compilation of rather different samples from geological, geomorphological and archaeological studies. Most of the data was already published in different formats. In this compilation we homogenized the meta information of the available information according to the HOLSEA database format, https://www.holsea.org/archive-your-data, which is a modification of the recommendations given in Hijma et al. (2015). In addition to the reformatting, the majority of samples with radiocarbon dating were recalibrated with oxcal-software using the calib13 and marine13 curves. Furthermore, all sample descriptions were critically checked for consistency in positioning, levelling and indicative meaning by experts of the respective geographic region see Supplement 2. Analytical method In principle, it is a compilation, recalibration and revision of already published data. Data Processing Data of individual compilations were revised and imported into a relational database system. Therein, the data was transferred into the HOLSEA format by specified rules. By this procedure, a homogeneous categorisation was achieved without losing the original data. Also this is stored in the relational database system allowing for later updates of the transfer procedure or a recalibration of the data. Description of data table HOLSEA-baltic-yymmdd.xlsx The workbook in excel format contains 5 sheets, see https://www.holsea.org/archive-your-data: · Long-form, containing the complete information available for each sample · Short-form, a subset of attributes of the Long-form sheet · Radiocarbon, containing the radiocarbon dating information of the respective samples · U-series, a corresponding table containing the respective information of Uranium dating · References, a complete reference list of the primary publications in which the individual data sampling is described. All online sources for the compilation are included in the metadata. A full list of source references is provided in the data description file.

  2. g

    A Holocene relative sea-level database for the Baltic Sea

    • dataservices.gfz-potsdam.de
    Updated 2021
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    Alar Rosentau; Volker Klemann; Ole Bennike; Holger Steffen; Jasmin Wehr; Milena Latinović; Meike Bagge; Antti Ojala; Mikael Berglund; Gustaf Peterson Becher; Kristian Schoning; Anton Hansson; Lars Nielsen; Lars B. Clemmensen; Mikkel U. Hede; Aart Kroon; Morten Pejrup; Lasse Sander; Karl Stattegger; Klaus Schwarzer; Reinhard Lampe; Matthias Lampe; Szymon Uścinowicz; Albertas Bitinas; Ieva Grudzinska; Jüri Vassiljev; Triine Nirgi; Yuriy Kublitskiy; Dmitry Subetto; Jasmin Wehr; Milena Latinović; Mikael Berglund; Kristian Schoning; Anton Hansson; Lars Nielsen; Mikkel U. Hede; Karl Stattegger; Matthias Lampe; Szymon Uścinowicz; Albertas Bitinas; Yuriy Kublitskiy (2021). A Holocene relative sea-level database for the Baltic Sea [Dataset]. http://doi.org/10.5880/gfz.1.3.2020.003
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    Dataset updated
    2021
    Dataset provided by
    datacite
    GFZ Data Services
    Authors
    Alar Rosentau; Volker Klemann; Ole Bennike; Holger Steffen; Jasmin Wehr; Milena Latinović; Meike Bagge; Antti Ojala; Mikael Berglund; Gustaf Peterson Becher; Kristian Schoning; Anton Hansson; Lars Nielsen; Lars B. Clemmensen; Mikkel U. Hede; Aart Kroon; Morten Pejrup; Lasse Sander; Karl Stattegger; Klaus Schwarzer; Reinhard Lampe; Matthias Lampe; Szymon Uścinowicz; Albertas Bitinas; Ieva Grudzinska; Jüri Vassiljev; Triine Nirgi; Yuriy Kublitskiy; Dmitry Subetto; Jasmin Wehr; Milena Latinović; Mikael Berglund; Kristian Schoning; Anton Hansson; Lars Nielsen; Mikkel U. Hede; Karl Stattegger; Matthias Lampe; Szymon Uścinowicz; Albertas Bitinas; Yuriy Kublitskiy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    We present a compilation and analysis of 1099 Holocene relative shore-level (RSL) indicators including 867 relative sea-level data points and 232 data points from the Ancylus Lake and the following transitional phase from 10.7 to 8.5 ka BP located around the Baltic Sea. The spatial distribution covers the Baltic Sea and near-coastal areas fairly well, but some gaps remain mainly in Sweden. RSL data follow the standardized HOLSEA format and, thus, are ready for spatially comprehensive applications in, e.g., glacial isostatic adjustment (GIA) modelling. Sampling method The data set is a compilation of rather different samples from geological, geomorphological and archaeological studies. Most of the data was already published in different formats. In this compilation we homogenized the meta information of the available information according to the HOLSEA database format, https://www.holsea.org/archive-your-data, which is a modification of the recommendations given in Hijma et al. (2015). In addition to the reformatting, the majority of samples with radiocarbon dating were recalibrated with oxcal-software using the calib13 and marine13 curves. Furthermore, all sample descriptions were critically checked for consistency in positioning, levelling and indicative meaning by experts of the respective geographic region see Supplement 2. Analytical method In principle, it is a compilation, recalibration and revision of already published data. Data Processing Data of individual compilations were revised and imported into a relational database system. Therein, the data was transferred into the HOLSEA format by specified rules. By this procedure, a homogeneous categorisation was achieved without losing the original data. Also this is stored in the relational database system allowing for later updates of the transfer procedure or a recalibration of the data. Description of data table HOLSEA-baltic-yymmdd.xlsx The workbook in excel format contains 5 sheets, see https://www.holsea.org/archive-your-data: · Long-form, containing the complete information available for each sample · Short-form, a subset of attributes of the Long-form sheet · Radiocarbon, containing the radiocarbon dating information of the respective samples · U-series, a corresponding table containing the respective information of Uranium dating · References, a complete reference list of the primary publications in which the individual data sampling is described. All online sources for the compilation are included in the metadata. A full list of source references is provided in the data description file.

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A Holocene relative sea-level database for the Baltic Sea - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c1313845-4407-5da3-a139-5c41d2c22680

A Holocene relative sea-level database for the Baltic Sea - Dataset - B2FIND

Explore at:
Area covered
Baltic Sea
Description

We present a compilation and analysis of 1099 Holocene relative shore-level (RSL) indicators including 867 relative sea-level data points and 232 data points from the Ancylus Lake and the following transitional phase from 10.7 to 8.5 ka BP located around the Baltic Sea. The spatial distribution covers the Baltic Sea and near-coastal areas fairly well, but some gaps remain mainly in Sweden. RSL data follow the standardized HOLSEA format and, thus, are ready for spatially comprehensive applications in, e.g., glacial isostatic adjustment (GIA) modelling. Sampling method The data set is a compilation of rather different samples from geological, geomorphological and archaeological studies. Most of the data was already published in different formats. In this compilation we homogenized the meta information of the available information according to the HOLSEA database format, https://www.holsea.org/archive-your-data, which is a modification of the recommendations given in Hijma et al. (2015). In addition to the reformatting, the majority of samples with radiocarbon dating were recalibrated with oxcal-software using the calib13 and marine13 curves. Furthermore, all sample descriptions were critically checked for consistency in positioning, levelling and indicative meaning by experts of the respective geographic region see Supplement 2. Analytical method In principle, it is a compilation, recalibration and revision of already published data. Data Processing Data of individual compilations were revised and imported into a relational database system. Therein, the data was transferred into the HOLSEA format by specified rules. By this procedure, a homogeneous categorisation was achieved without losing the original data. Also this is stored in the relational database system allowing for later updates of the transfer procedure or a recalibration of the data. Description of data table HOLSEA-baltic-yymmdd.xlsx The workbook in excel format contains 5 sheets, see https://www.holsea.org/archive-your-data: · Long-form, containing the complete information available for each sample · Short-form, a subset of attributes of the Long-form sheet · Radiocarbon, containing the radiocarbon dating information of the respective samples · U-series, a corresponding table containing the respective information of Uranium dating · References, a complete reference list of the primary publications in which the individual data sampling is described. All online sources for the compilation are included in the metadata. A full list of source references is provided in the data description file.

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