100+ datasets found
  1. Home Organizations KNMI NAM EPOS datasets

    • dataplatform.knmi.nl
    Updated Sep 1, 2022
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    dataplatform.knmi.nl (2022). Home Organizations KNMI NAM EPOS datasets [Dataset]. https://dataplatform.knmi.nl/dataset/nam-epos-dataset-1-0
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    Dataset updated
    Sep 1, 2022
    Dataset provided by
    Royal Netherlands Meteorological Institutehttp://www.knmi.nl/
    License

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

    Description

    Seismic datasets collected by NAM between 2013 and 2018 from downhole geophone arrays and flexible networks deployed in the Groningen area.

  2. e

    Epos Usa Inc Export Import Data | Eximpedia

    • eximpedia.app
    Updated Feb 1, 2001
    + more versions
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    (2001). Epos Usa Inc Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/epos-usa-inc/05056814
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    Dataset updated
    Feb 1, 2001
    Description

    Epos Usa Inc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  3. g

    Ring-shear test data of plastic sand, a new rock analogue material used for...

    • dataservices.gfz-potsdam.de
    Updated 2018
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    Ernst Willingshofer; Dimitrios Sokoutis; Maarten Kleinhans; Fred Beekmann; Jan-Michael Schönebeck; Michael Warsitzka; Matthias Rosenau; Fred Beekmann; Jan-Michael Schönebeck (2018). Ring-shear test data of plastic sand, a new rock analogue material used for experimental Earth Science applications at Utrecht University, The Netherlands [Dataset]. http://doi.org/10.5880/fidgeo.2018.022
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    Dataset updated
    2018
    Dataset provided by
    datacite
    GFZ Data Services
    Authors
    Ernst Willingshofer; Dimitrios Sokoutis; Maarten Kleinhans; Fred Beekmann; Jan-Michael Schönebeck; Michael Warsitzka; Matthias Rosenau; Fred Beekmann; Jan-Michael Schönebeck
    License

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

    Area covered
    Utrecht, Netherlands, Earth
    Description

    This dataset provides friction data from ring-shear test (RST) on a plastic (polyester) sand material that has been used in flume experiments (Marra et al., 2014; Kleinhans et al., 2017) and is now used in the Tectonic Laboratory (TecLab) at Utrecht University (NL) as an analogue for brittle layers in the crust or lithosphere. Detailed information about the data, methodology and a list of files and formats is given in the data description and list of files that are included in the zip folder and also available via the DOI landing page. The material has been characterized by means of internal friction coefficient and cohesion as a remote service by GFZ Potsdam for TecLab (Utrecht University). According to our analysis the material behaves as a Mohr-Coulomb material characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of 0.76, 0.60, and 0.66, respectively. Cohesions are in the order of few tens of Pa. A minor rate-weakening of 3% per ten-fold rate change is evident.

  4. GNS Science

    • geodata.nz
    Updated May 17, 2021
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    GNS Science (2021). GNS Science [Dataset]. https://geodata.nz/geonetwork/srv/api/records/dbb8f12a-82df-4666-8e7b-a600e12fa338
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    Dataset updated
    May 17, 2021
    Dataset provided by
    GNS Sciencehttp://www.gns.cri.nz/
    Seismic interpretation library (EPOS)
    Authors
    GNS Science
    Area covered
    Description

    The seismic interpretation library contains interpretative data from our active seismic investigations. It contains data from both commercial and research experiments and is stored in the Epos(Paradigm) database.

  5. s

    Wireless Charging Case Import Data | Epos Usa Inc

    • seair.co.in
    Updated Mar 31, 2024
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    Seair Exim Solutions (2024). Wireless Charging Case Import Data | Epos Usa Inc [Dataset]. https://www.seair.co.in/us-import/product-wireless-charging-case/i-epos-usa-inc.aspx
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    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset updated
    Mar 31, 2024
    Dataset authored and provided by
    Seair Exim Solutions
    Description

    Explore detailed Wireless Charging Case import data of Epos Usa Inc in the USA—product details, price, quantity, origin countries, and US ports.

  6. e

    Epos Group Export Import Data | Eximpedia

    • eximpedia.app
    Updated Oct 26, 2025
    + more versions
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    (2025). Epos Group Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/epos-group/91366099
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    Dataset updated
    Oct 26, 2025
    Description

    Epos Group Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  7. E

    Electronic Point of Sale Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 26, 2025
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    Data Insights Market (2025). Electronic Point of Sale Report [Dataset]. https://www.datainsightsmarket.com/reports/electronic-point-of-sale-878714
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Electronic Point of Sale (EPOS) market is experiencing steady growth, driven by digital payments & e-commerce. Discover key trends, regional insights, and leading companies shaping this $18.74 billion market in our comprehensive analysis. Learn about market segmentation, growth drivers, and future forecasts (2025-2033).

  8. d

    Data from: Abundance of megabenthic species in trawl catches per station in...

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 8, 2018
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    Piepenburg, Dieter; Chernova, Natalia V; von Dorrien, Christian F; Gutt, Julian; Neyelov, Alexei V; Rachor, Eike; Saldanha, Luiz; Schmid, Michael K (2018). Abundance of megabenthic species in trawl catches per station in addition to table 2 during POLARSTERN cruise ARK-VIII/2 (EPOS) [Dataset]. http://doi.org/10.1594/PANGAEA.815750
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    Dataset updated
    Jan 8, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Piepenburg, Dieter; Chernova, Natalia V; von Dorrien, Christian F; Gutt, Julian; Neyelov, Alexei V; Rachor, Eike; Saldanha, Luiz; Schmid, Michael K
    Time period covered
    Jun 22, 1991 - Jul 26, 1991
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/80159ea9049a5f286c81a89508023cef for complete metadata about this dataset.

  9. d

    Data from: (Table 1) Bottom-water temperatures and satinities, sites...

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 19, 2018
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    Piepenburg, Dieter; Chernova, Natalia V; von Dorrien, Christian F; Gutt, Julian; Neyelov, Alexei V; Rachor, Eike; Saldanha, Luiz; Schmid, Michael K; Schauer, Ursula (2018). (Table 1) Bottom-water temperatures and satinities, sites PS19/040 - PS19/136 [Dataset]. http://doi.org/10.1594/PANGAEA.735269
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    Dataset updated
    Jan 19, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Piepenburg, Dieter; Chernova, Natalia V; von Dorrien, Christian F; Gutt, Julian; Neyelov, Alexei V; Rachor, Eike; Saldanha, Luiz; Schmid, Michael K; Schauer, Ursula
    Time period covered
    Jun 24, 1991 - Sep 23, 1991
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/e12c3ca3a8f2e2b748dd38c31af5bde9 for complete metadata about this dataset.

  10. g

    Data from: Digital image correlation data from analogue modelling...

    • dataservices.gfz-potsdam.de
    Updated 2021
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    Maria Michail; Michael Rudolf; Matthias Rosenau; Alberto Riva; Piero Gianolla; Massimo Coltorti; Alberto Riva (2021). Digital image correlation data from analogue modelling experiments addressing magma emplacement along simple shear and transtensional fault zones [Dataset]. http://doi.org/10.5880/gfz.4.1.2021.004
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    Dataset updated
    2021
    Dataset provided by
    datacite
    GFZ Data Services
    Authors
    Maria Michail; Michael Rudolf; Matthias Rosenau; Alberto Riva; Piero Gianolla; Massimo Coltorti; Alberto Riva
    License

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

    Description

    This data set includes the results of digital image correlation analysis applied to nine experiments (Table 1) on magma-tectonic interaction performed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam in the framework of EPOS transnational access activities in 2017. The models use silicone oil (PDMS G30M, Rudolf et al., 2016) and Quartz sand (G12, Rosenau et al., 2018) to simulate pre-, syn- and post-tectonic intrusion of granitic magma into upper crustal shear zones of simple shear and transtensional (15° obliquity) kinematics. Three reference experiments (simple shear, transtension, intrusion) are also reported. Detailed descriptions of the experiments can be found in Michail et al. (submitted) to which this data set is supplement. The models have been monitored by means of digital image correlation (DIC) analysis including Particle Image Velocimetry (PIV; Adam et al., 2005) and Structure from Motion photogrammetry (SfM; Donnadieu et al., 2003; Westoby et al., 2012). DIC analysis yields quantitative model surface deformation information by means of 3D surface topography and displacements from which surface strain has been calculated. The data presented here are visualized as surface deformation maps and movies, as well as digital elevation and intrusion models. The results of a shape analysis of the model plutons is provided, too.

  11. g

    Data from: Ring-shear test data of different quartz sands and glass beads...

    • dataservices.gfz-potsdam.de
    Updated 2018
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    Bin Deng; Jan Schönebeck; Michael Warsitzka; Matthias Rosenau; Jan Schönebeck (2018). Ring-shear test data of different quartz sands and glass beads used for analogue experiments in the experimental laboratory of the Chengdu University of Technology (EPOS Transnational Access Call 2017) [Dataset]. http://doi.org/10.5880/gfz.4.1.2018.003
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    Dataset updated
    2018
    Dataset provided by
    datacite
    GFZ Data Services
    Authors
    Bin Deng; Jan Schönebeck; Michael Warsitzka; Matthias Rosenau; Jan Schönebeck
    License

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

    Area covered
    Chengdu
    Description

    This dataset provides friction data from ring-shear tests (RST) on natural and artificial granular materials used for analogue modelling in the experimental laboratory of the Chengdu University of Technology (CDUT, China). Six samples, four types of quartz sands and two types of glass beads, have been characterized by means of friction coefficients µ and cohesions C. The material samples have been analysed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam in the framework of the EPOS (European Plate Observing System) Transnational Access (TNA) call of the Thematic Core Service (TCS) Multi-scale Laboratories (MSL) in 2017 as a remote service for the CDUT. According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak friction coefficients µP of the quartz sand samples range between 0.62 and 0.79 and µP of the glass beads between 0.61 and 0.64. Except for one quartz sand sample, peak cohesions CP of all materials are smaller than or around zero meaning that these materials are cohesionsless. All materials show a minor rate-weakening of 1-2 % per ten-fold change in shear velocity v.

  12. d

    Data from: (Fig 1) Trawl stations during POLARSTERN cruise ARK-VIII/2 (EPOS)...

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 19, 2018
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    Piepenburg, Dieter; Chernova, Natalia V; von Dorrien, Christian F; Gutt, Julian; Neyelov, Alexei V; Rachor, Eike; Saldanha, Luiz; Schmid, Michael K (2018). (Fig 1) Trawl stations during POLARSTERN cruise ARK-VIII/2 (EPOS) in June/July 1991: Station groups [Dataset]. http://doi.org/10.1594/PANGAEA.815720
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    Dataset updated
    Jan 19, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Piepenburg, Dieter; Chernova, Natalia V; von Dorrien, Christian F; Gutt, Julian; Neyelov, Alexei V; Rachor, Eike; Saldanha, Luiz; Schmid, Michael K
    Time period covered
    Jun 22, 1991 - Jul 26, 1991
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/51648f428b8c8e42d87b6e1d722dcc91 for complete metadata about this dataset.

  13. Borehole Index (EGDI and EPOS)

    • metadata.europe-geology.eu
    • data.europa.eu
    Updated Aug 13, 2025
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    BRGM (2025). Borehole Index (EGDI and EPOS) [Dataset]. https://metadata.europe-geology.eu/record/basic/6899d763-da74-495e-b23d-050b0a010e58
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    Dataset updated
    Aug 13, 2025
    Dataset provided by
    Bureau de Recherches Géologiques et Minièreshttp://www.brgm.eu/
    Authors
    BRGM
    License

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

    Area covered
    Description

    The borehole index contains basic borehole information (name, purpose, location, age, depth etc.), on a European level, for boreholes harvested from a number of national databases of mainly Geological Surveys. The data is harvested by BRGM as part of the EPOS project and the data is also available on the EGDI portal.

  14. e

    Llc Epos Engineering Export Import Data | Eximpedia

    • eximpedia.app
    Updated Sep 2, 2025
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    (2025). Llc Epos Engineering Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/llc-epos-engineering/55174881
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    Dataset updated
    Sep 2, 2025
    Description

    Llc Epos Engineering Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  15. R

    Restaurant Delivery Management Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 28, 2025
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    Data Insights Market (2025). Restaurant Delivery Management Software Report [Dataset]. https://www.datainsightsmarket.com/reports/restaurant-delivery-management-software-1962528
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The booming restaurant delivery management software market is projected to reach $32.11 billion by 2033, driven by online food ordering and delivery growth. Learn about key trends, leading companies (Epos Now, Toast POS, etc.), and market segmentation in this comprehensive analysis. Discover how this software improves efficiency, customer experience, and profitability for restaurants.

  16. EPOS-based Plans for Drones

    • figshare.com
    zip
    Updated Mar 15, 2023
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    Chuhao Qin; Evangelos Pournaras (2023). EPOS-based Plans for Drones [Dataset]. http://doi.org/10.6084/m9.figshare.21432804.v17
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    zipAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Chuhao Qin; Evangelos Pournaras
    License

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

    Description

    The data is used for training and testing in EPOS-based coordination of drones in scale to complete spatio-temporal sensing tasks. The data is generated via the proposed plan generation strategy.

  17. C

    Convenience Store POS Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 17, 2025
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    Data Insights Market (2025). Convenience Store POS Software Report [Dataset]. https://www.datainsightsmarket.com/reports/convenience-store-pos-software-1433619
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming convenience store POS software market! Learn about its projected 10% CAGR, key drivers like mobile payments and cloud solutions, leading companies like Square & Epos Now, and regional market trends. Explore growth opportunities and competitive dynamics in this comprehensive market analysis.

  18. EPOS Software Artifact

    • figshare.com
    zip
    Updated Jun 5, 2023
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    Evangelos Pournaras (2023). EPOS Software Artifact [Dataset]. http://doi.org/10.6084/m9.figshare.7800701.v1
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    zipAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Evangelos Pournaras
    License

    https://www.gnu.org/licenses/gpl-2.0.htmlhttps://www.gnu.org/licenses/gpl-2.0.html

    Description

    This dataset is the software artifact of I-EPOS, the Iterative Economic Planning and Optimized Selections. EPOS is collective learning algorithm for decentralized combinatorial optimization problems.Information about the EPOS project is available here: http://epos-net.org

  19. F

    Zenith wet delay

    • data.uni-hannover.de
    tar, zip
    Updated Dec 20, 2024
    + more versions
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    Institut fuer Meteorologie und Klimatologie (2024). Zenith wet delay [Dataset]. https://data.uni-hannover.de/dataset/zenithwetdelay
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    tar, zipAvailable download formats
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Institut fuer Meteorologie und Klimatologie
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Zenith wet delay (ZWD) from GNSS stations worldwide from the EPOS software (https://gnss-epos.eu/, Gfz processing). The computation of the ZWD is performed with no random walk assumption with the goal to retrieve turbulent parameters from the fluctuations. The antenna center phase variations are corrected with the absolute antenna calibrations in the IGS20 frame during the GNSS data processing. The column 1is the time (one measure every 30 s) and the column 2 are the (loosely called) ZWD (in m). More specifically, in the GNSS data analysis we estimated the ZWD corrections (COR_WET) to the a priori constant ZWD.

  20. g

    Rheology of viscous materials from the CNR-IGG Tectonic Modelling Laboratory...

    • dataservices.gfz-potsdam.de
    • eprints.soton.ac.uk
    Updated Apr 2, 2020
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    Frank Zwaan; Michael Rudolf; Giacomo Corti; Derek Keir; Federico Sani (2020). Rheology of viscous materials from the CNR-IGG Tectonic Modelling Laboratory at the University of Florence (Italy) [Dataset]. http://doi.org/10.5880/fidgeo.2020.018
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    Dataset updated
    Apr 2, 2020
    Dataset provided by
    datacite
    GFZ Data Services
    Authors
    Frank Zwaan; Michael Rudolf; Giacomo Corti; Derek Keir; Federico Sani
    License

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

    Area covered
    Florence, Italy
    Dataset funded by
    German Research Foundationhttp://www.dfg.de/
    Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
    Description

    This dataset provides rheometric data of three viscous materials used for centrifuge experiments at the Tectonic Modelling Laboratory of CNR-IGG at the Earth Sciences Department of the University of Florence (Italy). The first material, PP45, is a mixture of a silicone (Polydimethylsiloxane or PDMS SGM36) and plasticine (Giotto Pongo). The PDMS is produced by Dow Corning and its characteristics are described by e.g. Rudolf et al. 2016a,b). Giotto Pongo is produced by FILA (Italy). Both components are mixed following a weight ratio of 100:45, and the final mixture has a density of 1520 kg m3. The second material, SCA705 is a mixture of Dow Corning 3179 putty, mixed with fine corundum sand and oleic acid with a weight ratio of 100:70:05 and a resulting density of 1660 kg m3. The final material, SCA7020 consists of the same components as SCA705, but with a slightly higher oleic acid content reflected in the weight ratio of 100:70:20. The mixture’s density is 1620 kg m3. The material samples have been analyzed in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at GFZ German Research Centre for Geosciences in Potsdam using an Anton Paar Physica MCR 301 rheometer in a plate-plate configuration at room temperature (20˚C). Rotational (controlled shear rate) tests with shear rates varying from 10-4 to 1 s-1 were performed. Additional temperature tests were run with shear rates between 10-2 to 10-1 s-1 for a temperature range between 15 and 30˚C. According to our rheometric analysis, the materials all exhibit shear thinning behavior, with high power law exponents (n-number) for strain rates below 10-2s-1, while power law exponents are lower above that threshold.For PP45, the respective n-numbers are 4.8 and 2.6, for SCA705 6.7 and 1.5, and for SCA7020 9.1 and 2.0. The temperature tests show decreasing viscosities with increasing temperatures with rates of -3.8, -1.4 and -1.9% per ˚K for PP45, SCA705 and SCA7020, respectively. An application of the materials tested can be found in Zwaan et al. (2020).

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dataplatform.knmi.nl (2022). Home Organizations KNMI NAM EPOS datasets [Dataset]. https://dataplatform.knmi.nl/dataset/nam-epos-dataset-1-0
Organization logo

Home Organizations KNMI NAM EPOS datasets

Explore at:
Dataset updated
Sep 1, 2022
Dataset provided by
Royal Netherlands Meteorological Institutehttp://www.knmi.nl/
License

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

Description

Seismic datasets collected by NAM between 2013 and 2018 from downhole geophone arrays and flexible networks deployed in the Groningen area.

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