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  • Digital Humanities and Cultural Heritage
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  • Authors: Kriesch, Lukas; Van der Au, Niklas; Hennemann, Stefan; Justus Liebig University Giessen;

    Der Datensatz beinhaltet ein bereinigtes, vortrainiertes, deutsches Sprachmodell (word2vec), welches aus über 40.000 deutschsprachiger Nachrichtenartikel von 467 Webseiten aus dem Bereich Logistik und Mobilität gespeist wurde. Der Datensatz entstand im Rahmen des Forschungsprojekts "TrendRadar - Erforschung der Grundlagen für einen ML-gestützten automatisierten TrendRadar", welches von dem Fraunhofer IML und der AG Wirtschaftsgeographie der JLU bearbeitet wurde. Der Erhebungszeitraum der zugrundeliegenden Nachrichtenartikel war vom 09.12.2020 - 31.05.2021. Zum Einlesen des Datensatzes wird die Gensim-Bibliothek in Python3 empfohlen (https://radimrehurek.com/gensim/models/word2vec.html).

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    Authors: Maystrenko, Yuriy Petrovich; Scheck-Wenderoth, Magdalena; Anikiev, Denis;

    We provide a set of grid files that collectively allow recreating a 3D geological model which covers the Central European Basin System and adjacent areas. The data publication is a complement to the publication of Maystrenko and Scheck-Wenderoth (2013) with a higher spatial and stratigraphic resolution. The structural model consists of (i) 11 sedimentary units including sea water; (ii) five crystalline crust units composed of four upper crustal units and one lower crustal unit; (iii) one lithospheric mantle unit. The available files include information on the regional variation of these geological units in terms of their depth and thickness, both attributes being allocated to regularly spaced grid nodes with horizontal spacing of 4 km. In comparison, the horizontal spacing of data provided by Maystrenko and Scheck-Wenderoth (2013) was 16 km. Besides, the model provided here resolves Permian, Mesozoic and Cenozoic sediments and Permo-Carboniferous volcanics. The model has originally been developed to analyse the first-order structural features characterizing the crust and the lithospheric mantle below the Central European Basin System and adjacent areas and obtain a basis for numerical simulations of heat transport and to calculate the lithospheric-scale conductive thermal field. Such simulations require the subsurface variation of physical rock properties to be defined, the 3D model differentiates units of contrasting materials, i.e. rock types. On that account, a large number of geological and geophysical data have been analysed (see Related Works) and we shortly describe here how they have been integrated into a consistent 3D model (Methods). For further information on the data usage and the characteristics of the units (e.g., lithology, density, thermal properties), the reader is referred to Maystrenko and Scheck-Wenderoth (2013). The contents and structure of the grid files provided herewith are described in the Technical Information section and the associated data description file (pdf). The model grids are provided as space-separated ASCII files, one for each model unit, while their structure is identical. As indicated by the headers of these files, column #1 contains the easting (X coordinate), column #2 the northing (Y coordinate), column #3 the depth of the top of the model unit [m above sea level] and column #4 the thickness of the respective layer [m]. The horizontal dimensions of the model are 1784 km x 1060 km. The model comprises 17 layers: 1. Sea Water 2. Tertiary 3. Cretaceous 4. Jurassic 5. Triassic 6. Permian Salt 7. Permian Carbonates 8. Rotliegend Sediments 9. Permo-Carboniferous Volcanics 10. Pre-Permian Sediments 11. Bohemian Granite 12. Variscan Crust 13. Laurentia Crust 14. Avalonia Crust 15. Baltica Crust 16. Lower Crust 17. Upper Mantle Depth and thickness information for every layer is provided for regularly (4 km) spaced grid nodes which are identical for all model units. These grid nodes are assigned coordinates of the UTM Zone 32N. For an overview of the thickness maps of the layers we refer to Maystrenko and Scheck-Wenderoth (2013). The file names include the name of the corresponding model unit and a number that refers to the structural position of the unit; for recomposing the 3D model, one would have to order the grids with increasing number to build the model from top to bottom. The vertical resolution of the final 3D model is heterogeneous since it corresponds to the variable thickness of its units. Please also note that the thickness of the gridded units is set to the minimum value of 0.1 m at places where the units are actually observed to be absent. We accept this offset value since (i) this minor vertical shift of grid nodes significantly simplifies the transformation into a 3D model ready for applying the Finite Element Method (e.g., for heat transport simulations) and (ii) a thickness difference of 0.1 m does not critically affect lithospheric-scale calculations of gravity anomalies and the conductive thermal field. The presented 3D structural model is the result of an extensive data integration, we visualized and collectively analysed geological maps, smaller-scale 3D structural models, depth and thickness maps, drilled formation tops and interpreted seismic horizons (see Related Works) using the software Petrel (©Schlumberger) and Earth Vision (©Dynamic Graphics). After identifying the main lithological units to be differentiated by the intended 3D model and correcting for inconsistencies between the layers, the scattered information on the top surface elevation of the units was interpolated to obtain regular grids with a horizontal element spacing of 4 km. The original datasets (e.g., their regional extents, sources etc.) used to model the topology of the structural horizons are listed in Maystrenko and Scheck-Wenderoth (2013). In order to mitigate insufficient coverage of the region with deep seismic profiles revealing the internal structure of the sub-sedimentary crystalline crust, we have performed 3D gravity modelling, in particular to assess the depth position of the interface between the upper and the lower crust in areas at large distance from any seismic constraints. Therefore, we have assigned an observation-constrained density value to each model layer and, by using the software IGMAS+, interactively modified the top of the lower crust until the gravity field computed for the 3D density model was consistent with the Bouguer gravity anomaly onshore and the free air anomaly offshore taken from the European gravity database (Wybraniec, Zhou et al. 1998). Acknowledgements We are grateful to Hans-Jürgen Götze and Sabine Schmidt for permission to use the 3D gravity modelling software (IGMAS+) as well as for providing us help with this software.

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    GFZ Data Services
    Other ORP type . 2020
    Data sources: B2FIND
    GFZ Data Services
    Model . 2020
    License: CC BY
    Data sources: Datacite
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      Other ORP type . 2020
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      Model . 2020
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      Data sources: Datacite
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    The TEI-conformant schema developed for the Enlightenment Architectures project and used to validate the 5 catalogues (two volumes of ‘fossils’, one volume of printed books and ephemera, one of ‘miscellanies’, and one of his collection of manuscripts) of Sir Hans's Sloanes collections which the project worked to make machine readable

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UCLarrow_drop_down
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    UCL
    Other ORP type . 2020
    Data sources: B2FIND
    UCL Discovery
    Model . 2020
    License: CC BY NC SA
    Data sources: Datacite
    UCL Discovery
    Model . 2020
    License: CC BY NC SA
    Data sources: Datacite
    UCL Discovery
    Model . 2020
    License: CC BY NC SA
    Data sources: Datacite
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      UCL
      Other ORP type . 2020
      Data sources: B2FIND
      UCL Discovery
      Model . 2020
      License: CC BY NC SA
      Data sources: Datacite
      UCL Discovery
      Model . 2020
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      UCL Discovery
      Model . 2020
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  • Authors: Zbinden, Dominik;

    Coupled multi-phase hydro-mechanical numerical modeling TOUGH2, TOUGH2-seed

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  • Authors: Kriesch, Lukas; Van der Au, Niklas; Hennemann, Stefan; Justus Liebig University Giessen;

    Der Datensatz beinhaltet ein bereinigtes, vortrainiertes, deutsches Sprachmodell (word2vec), welches aus über 40.000 deutschsprachiger Nachrichtenartikel von 467 Webseiten aus dem Bereich Logistik und Mobilität gespeist wurde. Der Datensatz entstand im Rahmen des Forschungsprojekts "TrendRadar - Erforschung der Grundlagen für einen ML-gestützten automatisierten TrendRadar", welches von dem Fraunhofer IML und der AG Wirtschaftsgeographie der JLU bearbeitet wurde. Der Erhebungszeitraum der zugrundeliegenden Nachrichtenartikel war vom 09.12.2020 - 31.05.2021. Zum Einlesen des Datensatzes wird die Gensim-Bibliothek in Python3 empfohlen (https://radimrehurek.com/gensim/models/word2vec.html).

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Maystrenko, Yuriy Petrovich; Scheck-Wenderoth, Magdalena; Anikiev, Denis;

    We provide a set of grid files that collectively allow recreating a 3D geological model which covers the Central European Basin System and adjacent areas. The data publication is a complement to the publication of Maystrenko and Scheck-Wenderoth (2013) with a higher spatial and stratigraphic resolution. The structural model consists of (i) 11 sedimentary units including sea water; (ii) five crystalline crust units composed of four upper crustal units and one lower crustal unit; (iii) one lithospheric mantle unit. The available files include information on the regional variation of these geological units in terms of their depth and thickness, both attributes being allocated to regularly spaced grid nodes with horizontal spacing of 4 km. In comparison, the horizontal spacing of data provided by Maystrenko and Scheck-Wenderoth (2013) was 16 km. Besides, the model provided here resolves Permian, Mesozoic and Cenozoic sediments and Permo-Carboniferous volcanics. The model has originally been developed to analyse the first-order structural features characterizing the crust and the lithospheric mantle below the Central European Basin System and adjacent areas and obtain a basis for numerical simulations of heat transport and to calculate the lithospheric-scale conductive thermal field. Such simulations require the subsurface variation of physical rock properties to be defined, the 3D model differentiates units of contrasting materials, i.e. rock types. On that account, a large number of geological and geophysical data have been analysed (see Related Works) and we shortly describe here how they have been integrated into a consistent 3D model (Methods). For further information on the data usage and the characteristics of the units (e.g., lithology, density, thermal properties), the reader is referred to Maystrenko and Scheck-Wenderoth (2013). The contents and structure of the grid files provided herewith are described in the Technical Information section and the associated data description file (pdf). The model grids are provided as space-separated ASCII files, one for each model unit, while their structure is identical. As indicated by the headers of these files, column #1 contains the easting (X coordinate), column #2 the northing (Y coordinate), column #3 the depth of the top of the model unit [m above sea level] and column #4 the thickness of the respective layer [m]. The horizontal dimensions of the model are 1784 km x 1060 km. The model comprises 17 layers: 1. Sea Water 2. Tertiary 3. Cretaceous 4. Jurassic 5. Triassic 6. Permian Salt 7. Permian Carbonates 8. Rotliegend Sediments 9. Permo-Carboniferous Volcanics 10. Pre-Permian Sediments 11. Bohemian Granite 12. Variscan Crust 13. Laurentia Crust 14. Avalonia Crust 15. Baltica Crust 16. Lower Crust 17. Upper Mantle Depth and thickness information for every layer is provided for regularly (4 km) spaced grid nodes which are identical for all model units. These grid nodes are assigned coordinates of the UTM Zone 32N. For an overview of the thickness maps of the layers we refer to Maystrenko and Scheck-Wenderoth (2013). The file names include the name of the corresponding model unit and a number that refers to the structural position of the unit; for recomposing the 3D model, one would have to order the grids with increasing number to build the model from top to bottom. The vertical resolution of the final 3D model is heterogeneous since it corresponds to the variable thickness of its units. Please also note that the thickness of the gridded units is set to the minimum value of 0.1 m at places where the units are actually observed to be absent. We accept this offset value since (i) this minor vertical shift of grid nodes significantly simplifies the transformation into a 3D model ready for applying the Finite Element Method (e.g., for heat transport simulations) and (ii) a thickness difference of 0.1 m does not critically affect lithospheric-scale calculations of gravity anomalies and the conductive thermal field. The presented 3D structural model is the result of an extensive data integration, we visualized and collectively analysed geological maps, smaller-scale 3D structural models, depth and thickness maps, drilled formation tops and interpreted seismic horizons (see Related Works) using the software Petrel (©Schlumberger) and Earth Vision (©Dynamic Graphics). After identifying the main lithological units to be differentiated by the intended 3D model and correcting for inconsistencies between the layers, the scattered information on the top surface elevation of the units was interpolated to obtain regular grids with a horizontal element spacing of 4 km. The original datasets (e.g., their regional extents, sources etc.) used to model the topology of the structural horizons are listed in Maystrenko and Scheck-Wenderoth (2013). In order to mitigate insufficient coverage of the region with deep seismic profiles revealing the internal structure of the sub-sedimentary crystalline crust, we have performed 3D gravity modelling, in particular to assess the depth position of the interface between the upper and the lower crust in areas at large distance from any seismic constraints. Therefore, we have assigned an observation-constrained density value to each model layer and, by using the software IGMAS+, interactively modified the top of the lower crust until the gravity field computed for the 3D density model was consistent with the Bouguer gravity anomaly onshore and the free air anomaly offshore taken from the European gravity database (Wybraniec, Zhou et al. 1998). Acknowledgements We are grateful to Hans-Jürgen Götze and Sabine Schmidt for permission to use the 3D gravity modelling software (IGMAS+) as well as for providing us help with this software.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ GFZ Data Servicesarrow_drop_down
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    GFZ Data Services
    Other ORP type . 2020
    Data sources: B2FIND
    GFZ Data Services
    Model . 2020
    License: CC BY
    Data sources: Datacite
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      GFZ Data Services
      Other ORP type . 2020
      Data sources: B2FIND
      GFZ Data Services
      Model . 2020
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      Data sources: Datacite
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    The TEI-conformant schema developed for the Enlightenment Architectures project and used to validate the 5 catalogues (two volumes of ‘fossils’, one volume of printed books and ephemera, one of ‘miscellanies’, and one of his collection of manuscripts) of Sir Hans's Sloanes collections which the project worked to make machine readable

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UCLarrow_drop_down
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    UCL
    Other ORP type . 2020
    Data sources: B2FIND
    UCL Discovery
    Model . 2020
    License: CC BY NC SA
    Data sources: Datacite
    UCL Discovery
    Model . 2020
    License: CC BY NC SA
    Data sources: Datacite
    UCL Discovery
    Model . 2020
    License: CC BY NC SA
    Data sources: Datacite
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      UCL
      Other ORP type . 2020
      Data sources: B2FIND
      UCL Discovery
      Model . 2020
      License: CC BY NC SA
      Data sources: Datacite
      UCL Discovery
      Model . 2020
      License: CC BY NC SA
      Data sources: Datacite
      UCL Discovery
      Model . 2020
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  • Authors: Zbinden, Dominik;

    Coupled multi-phase hydro-mechanical numerical modeling TOUGH2, TOUGH2-seed

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