6 datasets found
  1. g

    A Holocene relative sea-level database for the Baltic Sea

    • dataservices.gfz-potsdam.de
    Updated 2021
    + more versions
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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.

  2. f

    Relative sea-level data from Mokomoko Inlet and Pounawea in HOLSEA format

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated Feb 12, 2022
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    Hayward, Bruce W; Dangendorf, Sönke; Gehrels, Maria; Garrett, Ed; Newnham, Rewi M; Morey, Craig; Gehrels, W Roland (2022). Relative sea-level data from Mokomoko Inlet and Pounawea in HOLSEA format [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000262626
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    Dataset updated
    Feb 12, 2022
    Authors
    Hayward, Bruce W; Dangendorf, Sönke; Gehrels, Maria; Garrett, Ed; Newnham, Rewi M; Morey, Craig; Gehrels, W Roland
    Area covered
    Pounawea
    Description

    Relative sea-level data from Mokomoko Inlet and Pounawea, southern New Zealand in HOLSEA workbook format (www.holsea.org). Associated with manuscript Garrett et al., Drivers of 20th century sea-level change in southern New Zealand determined from proxy and instrumental records.

  3. STEHME files & HOLSEA spreadsheet for Creel et al. 2022: Postglacial...

    • zenodo.org
    bin, csv, nc
    Updated Mar 16, 2022
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    Roger Creel; Roger Creel (2022). STEHME files & HOLSEA spreadsheet for Creel et al. 2022: Postglacial Relative Sea Level Change in Norway [Dataset]. http://doi.org/10.5281/zenodo.6330206
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    csv, nc, binAvailable download formats
    Dataset updated
    Mar 16, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Roger Creel; Roger Creel
    License

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

    Area covered
    Norway
    Description

    Data Files for Creel et al. 2022: Postglacial Relative Sea Level Change in Norway

    This repository contains the following files:

    1. Netcdf and csv files for the mean and standard deviation of the spatiotemporal empirical hierarchical model ensemble (STEHME) produced for Creel et al. 2022. The 'ts' suffix denotes time series for each unique lat/lon site. The netcdf files contain spatial maps at 100 yr resolution.

    2. mmc1.xlsx, the HOLSEA format Norway data compilation produced for Creel et al. 2022.

  4. Z

    Data from: Supplementary Information and data for: "Quaternary and Pliocene...

    • data.niaid.nih.gov
    Updated Dec 23, 2023
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    Ryan, Deirdre D. (2023). Supplementary Information and data for: "Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10427735
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    Dataset updated
    Dec 23, 2023
    Dataset provided by
    Rovere, Alessio
    Giachetti, Luciana M.
    Kaufman, Darrell
    Bright, Jordon
    Richiano, Sebastian
    Rubio Sandoval, Karla Zurisadai
    Ryan, Deirdre D.
    Gowan, Evan
    PAPPALARDO, MARTA
    License

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

    Area covered
    Patagonia, Argentina, Camarones
    Description

    This repository contains the supplementary information and raw data annexed to the manuscript "Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina", authored by Karla Rubio-Sandoval et al. and submitted for consideration in the journal Quaternary Science Reviews.

    The folder contains the following items.

    1. Raw_data.xlsxThis is an excel file that includes all survey and analytical data in several sheets, briefly described hereafter.
    • GNSS data. Data surveyed with differential GNSS in the field.- Sea level index points. Datapoints used as sea-level index points, and associated calculations of paleo Relative Sea Level.- AAR Summary. Table summarising the main results of the AAR analyses.- AAR complete sheet. The complete set of analytical data done for the Amino Acid Racemization dating.- Radiocarbon data. The analytical results of radiocarbon dating.- Literature ages. A compilation of the Electron Spin Resonance and U-series ages published for the Camarones site.- Transects. Topographical transects extracted from the TanDEM-X Digital Elevation model and referred to the GEOIDEAR 16 geoid.- Distance plot. Data for plotting Relative Sea Level vs distance along the coast of the sea-level index points described in the manuscript.
    1. Holocene (folder)This folder contains two excel files ("Area_Camarones_Accepted.xlsx" and "Area_Camarones_Rejected.xlsx") that include the Holocene data described in the paper compiled following the standard HOLSEA template.

    2. Runup_modellingThis folder contains three folders, each with a Jupyter notebook (.ipynb) and datasets to perform the runup calculations described in the manuscript.

  5. s

    Hilsea investments limited av de USA Import & Buyer Data

    • seair.co.in
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    Seair Exim, Hilsea investments limited av de USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Info Solutions PVT LTD
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  6. Holocene relative sea-level data from the Atlantic coasts of South America

    • zenodo.org
    Updated Jul 14, 2025
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    Karla Zurisadai Rubio Sandoval; Timothy Shaw; Matteo Vacchi; Nicole Khan; Benjamin Horton; Rodolfo José Angulo; Marta Pappalardo; Augusto Ferreira-Júnior; Sebastian Richiano; Maria Cristina de Souza; Paulo Cesar Giannini; Deirdre D. Ryan; Evan James Gowan; Alessio Rovere; Karla Zurisadai Rubio Sandoval; Timothy Shaw; Matteo Vacchi; Nicole Khan; Benjamin Horton; Rodolfo José Angulo; Marta Pappalardo; Augusto Ferreira-Júnior; Sebastian Richiano; Maria Cristina de Souza; Paulo Cesar Giannini; Deirdre D. Ryan; Evan James Gowan; Alessio Rovere (2025). Holocene relative sea-level data from the Atlantic coasts of South America [Dataset]. http://doi.org/10.5281/zenodo.15876864
    Explore at:
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Karla Zurisadai Rubio Sandoval; Timothy Shaw; Matteo Vacchi; Nicole Khan; Benjamin Horton; Rodolfo José Angulo; Marta Pappalardo; Augusto Ferreira-Júnior; Sebastian Richiano; Maria Cristina de Souza; Paulo Cesar Giannini; Deirdre D. Ryan; Evan James Gowan; Alessio Rovere; Karla Zurisadai Rubio Sandoval; Timothy Shaw; Matteo Vacchi; Nicole Khan; Benjamin Horton; Rodolfo José Angulo; Marta Pappalardo; Augusto Ferreira-Júnior; Sebastian Richiano; Maria Cristina de Souza; Paulo Cesar Giannini; Deirdre D. Ryan; Evan James Gowan; Alessio Rovere
    License

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

    Time period covered
    Mar 2024
    Area covered
    South America
    Description

    This spreadsheet is a complete record of the Holocene sea-level proxies in the southwestern Atlantic, from Brazil to Argentina following the HOLSEA template.

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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

A Holocene relative sea-level database for the Baltic Sea

Explore at:
74 scholarly articles cite this dataset (View in Google Scholar)
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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