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85 Research products

  • European Marine Science
  • 2019-2023
  • Research software
  • Other research products
  • European Commission
  • EC|FP7
  • EC|H2020

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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: Alexander Barth; jmbeckers; Charles Troupin; Menashe Eliezer; +3 Authors

    DIVAnd v2.7.10 Diff since v2.7.9 Merged pull requests: Jmb (#116) (@jmbeckers) Jmb (#126) (@jmbeckers) CompatHelper: add new compat entry for DelimitedFiles at version 1, (keep existing compat) (#132) (@github-actions[bot]) Closed issues: advection constrain (#47) Setting time as an unlimited dimension in netCDF (#81) NetCDF_URL e ZIP file (#85) NCODV.load failing if quality flags not defined (#92) Calculated CPME error is unrealistically low! (#95) "climatology_bounds" instead of variable names (#105) Problem reading data without local_cdi_id and edmo_code (#106) Function fit( ) not used (#108) MethodError when trying to run diva3d with fitcorrlen = true (#109) MethodError after uncomment some lines from DIVAnd_save.jl (#111) Test "test_vocab.jl" fails (#112) Http 500 Internal Server Error[🐞] (#113) [🐞]High memory consumption and inability to use divandgo or conjugate gradient inversion. (#117) [👆] Getting lists of data points that are used for each depth layer (#118) [DOC] documentation of diffusion function (#120) [Help needed] Correlation length and lengraddepth (#121) Background of all observations over time (#122) [🐞] When running DIVAnd, artifacts appear which seem to be linked to the bathymetry (#123) L-shape criterium[👆] (#124) Sigma coordinates ?[👆] (#125) Unhandled Task ERROR: EOFError: read end of file (#127) [🐞] DomainError when use background (#128) 'data access' and 'WEB_visualisation' attributes not correct anymore (#130) [Help needed]How to create and use my bathymetry file? (#131) [🐞]WARNING: Method definition DIVAnd_bc_stretch overwritten (#134) Accurate meaning of the correlation length?[DOC] (#135) adapt ODV files "load" function for WOD data[👆] (#136)

    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/ ZENODOarrow_drop_down
    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/
    ZENODO
    Software . 2023
    License: CC BY
    Data sources: ZENODO
    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/
    ZENODO
    Software . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Software . 2023
    License: CC BY
    Data sources: Datacite
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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/ ZENODOarrow_drop_down
      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/
      ZENODO
      Software . 2023
      License: CC BY
      Data sources: ZENODO
      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/
      ZENODO
      Software . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Software . 2023
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      Data sources: Datacite
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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: Fernandes-Salvador, Jose Antonio; Cheung, William W. L.;

    The multi-species ecosystem model SS-DBEM integrates a species based model (DBEM) with the spectrum approach (SS). This model includes a large number of mechanisms and ecological processes such as population growth, movement, and dispersal of adults and larvae, as well as the ecophysiological effects of temperature, oxygen, and pH on body size, growth, mortality, and reproduction. The SS-DBEM model provides spatially (at a 0.5x0.5º resolution) and temporally (yearly) resolved predictions of changes in species’ size, abundance and biomass with consideration of competition. The competition algorithm describes the resource allocation between different species co-occurring in a spatial unit (thereafter cell) by comparing the flux of energy (in biomass) that can be supported (estimated with the SS model) with the energy demanded by the species predicted to inhabit that cell (estimated with the DBEM model). In addition, the environmental conditions are considered in the mechanisms and since there are different environmental conditions that are provided by the biogeochemical models, species responses are also different spatially. See readme.txt for scientific publications developing and using the model.

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    ZENODO
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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/
    ZENODO
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    Data sources: Datacite
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      ZENODO
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      ZENODO
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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: Kjær, Helle Astrid; Zens, Patrick; Black, Samuel; Lund, Kasper Holst; +2 Authors

    Results from six firn cores obtained during a 426 km long northern Greenland traverse in 2015 between the NEEM and the EGRIP deep drilling stations situated on the Western and Eastern side of the Greenland ice sheet, respectively. The cores (9 to 14 m long) are analysed for chemical impurities by means of Continuous Flow Analysis (CFA); Insoluble dust, ammonium, calcium, acid, conductivity and peroxide. The data was dated by means of annual layer counting of mainly peroxide supplemented by calcium seasonal cycles and spans 18 to 53 years (±3 yrs) depending on local snow accumulation that decreases from west to east. Insoluble dust, ammonium, and calcium concentrations in the 6 firn cores overlap, and also the seasonal cycles are similar in timing and magnitude across sites, while peroxide (H2O2) and conductivity both have spatial variations. H2O2 is driven by the accumulation pattern and conductivity is likely influenced by sea salt. Data is published as part of Kjær et al. 2022, Climate of the past, https://doi.org/10.5194/cp-2021-99

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    Authors: Tuchen, Franz Philip (Ed.); Brandt, Peter (Ed.); Hahn, Johannes (Ed.); Hummels, Rebecca (Ed.); +5 Authors

    Since 2001, current velocities have been measured continuously as part of a multilateral collaboration, the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA), that regularly services a moored observatory located at 0°N, 23°W. Here, we present an update of 20 years of full-depth current velocity observations at 0°N, 23°W. With the presented current velocity data product, we aim to provide an important and accessible reference data set against which models and reanalysis output could be validated. The velocity time series will also be helpful for studies focusing on long-term climate variability to search for connections with changes in the equatorial circulation over the last 20 years. Earlier versions of this data product have already been used in a variety of studies and provided a significant contribution to an overall improved understanding of equatorial ocean dynamics. The moored observatory at 0°N, 23°W is an ongoing example of a successful multinational collaboration extending over more than two decades.

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    Authors: Barth, Alexander; Beckers, Jean-Marie; Troupin, Charles; Eliezer, Menashe; +3 Authors

    DIVAnd v2.7.9 Diff since v2.7.8 Closed issues: Bulls eye in region without data (#90) How to leverage other data while gridding? (Enhancement) (#96) Failed test (#104) Merged pull requests: CompatHelper: bump compat for Interpolations to 0.14, (keep existing compat) (#103) (@github-actions[bot])

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    ZENODO
    Software . 2022
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      Software . 2022
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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: Marwan, Norbert;

    The data file `CENOGRID_Loess_20.txt` contains the astronomically tuned deep-sea benthic foraminifer carbon (δ¹³C) and oxygen (δ¹⁸O) isotope reference records uniformly covering the entire Cenozoic. The first column is the tuned age in Ma, the second column the δ¹³C, and the third column the δ¹⁸O record. The original calculations were performed using the CRP Toolbox for MATLAB. In order to avoid installing the toolbox and for better performance, the functions for calculating RP and RQA were here reimplemented, providing identical result. To reproduce the RPs in Fig. 2, use the script `perform_rp.m`, for reproducing the determinism values and upper confidence bounds, use the script `perform_rqa.m`. Published in T. Westerhold, N. Marwan, A. J. Drury, D. Liebrand, C. Agnini, E. Anagnostou, J. S. K. Barnet, S. M. Bohaty, D. De Vleeschouwer, F. Florindo, T. Frederichs, D. A. Hodell, A. E. Holbourn, D. Kroon, V. Lauretano, K. Littler, L. J. Lourens, M. Lyle, H. Pälike, U. Röhl, J. Tian, R. H. Wilkens, P. A. Wilson, J. C. Zachos: An astronomically dated record of Earth's climate and its predictability over the last 66 million years, Science, 369(6509), 1383–1387 (2020). DOI:10.1126/science.aba6853 {"references": ["T. Westerhold, N. Marwan, et al: An astronomically dated record of Earth's climate and its predictability over the last 66 million years, Science, 369(6509), 1383\u20131387 (2020)"]}

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    gCube Catalogue (gCat) Client is a library designed to interact with REST API exposed by the gCat Service. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat-client/releases/tag/v2.4.0

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    Authors: Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;

    {"references": ["Hassell, D., Gregory, J., Blower, J., Lawrence, B. N., and Taylor, K. E.: A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1), Geosci. Model Dev., 10, 4619\u20134646, https://doi.org/10.5194/gmd-10-4619-2017, 2017.", "Hassell et al., (2020). cfdm: A Python reference implementation of the CF data model. Journal of Open Source Software, 5(54), 2717, https://doi.org/10.21105/joss.02717"]} A CF-compliant Earth Science data analysis library Version 3.14.0 is the first to use Dask.

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    Authors: Vinther, Bo Møllesøe; Freitag, Johannes; Kipfstuhl, Sepp; Weißbach, Stefanie; +3 Authors

    The firn core array of the North Greenland Traverse (NGT) provides unique climatic information for North Greenland until the mid 1990ies. In order to extend this climate record into more recent time, some of the drill sites were revisited and extension cores were drilled. The record is a composite of snow liners (from the surface to 1.29 m depth) and a consecutive firn core from 1.47 m depth to 30.00 m depth with a diameter of 75 cm. Density was measured by weighing the 55 cm long bags. Stable oxygen isotopes (δ18O) were measured at the Niels Bohr Institute, Copenhagen, Denmark. Using raw, un-calibrated dielectrical profiling (DEP) data from the field (NEEM Set-up), volcanic tie points were derived. Together with the smoothed density data and the isotopic composition the record was dated by layer counting. The annual mean values of δ18O were obtained based on this dating. Based on the density measurements and the dating, the annual accumulation rate in water equivalent depth was derived.

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    Authors: Guerreiro, Catarina V; Baumann, Karl-Heinz; Brummer, Geert-Jan A; Valente, André; +4 Authors

    Data refer to export fluxes of carbonate produced by calcifying phytoplankton (coccolithophores), and coccolith-CaCO₃ percent contribution to total carbonate flux across the tropical North Atlantic, from upwelling affected NW Africa, via three ocean sites along 12°N to the Caribbean. Sampling was undertaken by means of a spatial array of four time-series sediment traps (i.e., CB at 21°N 20°W; M1U at 12°N 23°W; M2U at 14°N 37°W; M4U at 12°N 49°W; Guerreiro et al., 2021) collecting particle fluxes in two-week intervals, from October 2012 to February 2014, allowing to track temporal changes along the southern margin of the North Atlantic central gyre. Auxiliary PIC (Particulate Inorganic Carbon) data from NASA's Ocean Biology Processing Group (https://oceancolor.gsfc.nasa.gov) are also provided for the sediment sampling period at all four trap sites. Particle flux data (mg/m²/d) of CaCO₃, organic matter, particulate organic carbon (POC), biogenic silica (bSiO₂) and unspecified residual fraction are provided for sediment trap site CB.

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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: Alexander Barth; jmbeckers; Charles Troupin; Menashe Eliezer; +3 Authors

    DIVAnd v2.7.10 Diff since v2.7.9 Merged pull requests: Jmb (#116) (@jmbeckers) Jmb (#126) (@jmbeckers) CompatHelper: add new compat entry for DelimitedFiles at version 1, (keep existing compat) (#132) (@github-actions[bot]) Closed issues: advection constrain (#47) Setting time as an unlimited dimension in netCDF (#81) NetCDF_URL e ZIP file (#85) NCODV.load failing if quality flags not defined (#92) Calculated CPME error is unrealistically low! (#95) "climatology_bounds" instead of variable names (#105) Problem reading data without local_cdi_id and edmo_code (#106) Function fit( ) not used (#108) MethodError when trying to run diva3d with fitcorrlen = true (#109) MethodError after uncomment some lines from DIVAnd_save.jl (#111) Test "test_vocab.jl" fails (#112) Http 500 Internal Server Error[🐞] (#113) [🐞]High memory consumption and inability to use divandgo or conjugate gradient inversion. (#117) [👆] Getting lists of data points that are used for each depth layer (#118) [DOC] documentation of diffusion function (#120) [Help needed] Correlation length and lengraddepth (#121) Background of all observations over time (#122) [🐞] When running DIVAnd, artifacts appear which seem to be linked to the bathymetry (#123) L-shape criterium[👆] (#124) Sigma coordinates ?[👆] (#125) Unhandled Task ERROR: EOFError: read end of file (#127) [🐞] DomainError when use background (#128) 'data access' and 'WEB_visualisation' attributes not correct anymore (#130) [Help needed]How to create and use my bathymetry file? (#131) [🐞]WARNING: Method definition DIVAnd_bc_stretch overwritten (#134) Accurate meaning of the correlation length?[DOC] (#135) adapt ODV files "load" function for WOD data[👆] (#136)

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    Authors: Fernandes-Salvador, Jose Antonio; Cheung, William W. L.;

    The multi-species ecosystem model SS-DBEM integrates a species based model (DBEM) with the spectrum approach (SS). This model includes a large number of mechanisms and ecological processes such as population growth, movement, and dispersal of adults and larvae, as well as the ecophysiological effects of temperature, oxygen, and pH on body size, growth, mortality, and reproduction. The SS-DBEM model provides spatially (at a 0.5x0.5º resolution) and temporally (yearly) resolved predictions of changes in species’ size, abundance and biomass with consideration of competition. The competition algorithm describes the resource allocation between different species co-occurring in a spatial unit (thereafter cell) by comparing the flux of energy (in biomass) that can be supported (estimated with the SS model) with the energy demanded by the species predicted to inhabit that cell (estimated with the DBEM model). In addition, the environmental conditions are considered in the mechanisms and since there are different environmental conditions that are provided by the biogeochemical models, species responses are also different spatially. See readme.txt for scientific publications developing and using the model.

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      ZENODO
      Software . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: Kjær, Helle Astrid; Zens, Patrick; Black, Samuel; Lund, Kasper Holst; +2 Authors

    Results from six firn cores obtained during a 426 km long northern Greenland traverse in 2015 between the NEEM and the EGRIP deep drilling stations situated on the Western and Eastern side of the Greenland ice sheet, respectively. The cores (9 to 14 m long) are analysed for chemical impurities by means of Continuous Flow Analysis (CFA); Insoluble dust, ammonium, calcium, acid, conductivity and peroxide. The data was dated by means of annual layer counting of mainly peroxide supplemented by calcium seasonal cycles and spans 18 to 53 years (±3 yrs) depending on local snow accumulation that decreases from west to east. Insoluble dust, ammonium, and calcium concentrations in the 6 firn cores overlap, and also the seasonal cycles are similar in timing and magnitude across sites, while peroxide (H2O2) and conductivity both have spatial variations. H2O2 is driven by the accumulation pattern and conductivity is likely influenced by sea salt. Data is published as part of Kjær et al. 2022, Climate of the past, https://doi.org/10.5194/cp-2021-99

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    Authors: Tuchen, Franz Philip (Ed.); Brandt, Peter (Ed.); Hahn, Johannes (Ed.); Hummels, Rebecca (Ed.); +5 Authors

    Since 2001, current velocities have been measured continuously as part of a multilateral collaboration, the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA), that regularly services a moored observatory located at 0°N, 23°W. Here, we present an update of 20 years of full-depth current velocity observations at 0°N, 23°W. With the presented current velocity data product, we aim to provide an important and accessible reference data set against which models and reanalysis output could be validated. The velocity time series will also be helpful for studies focusing on long-term climate variability to search for connections with changes in the equatorial circulation over the last 20 years. Earlier versions of this data product have already been used in a variety of studies and provided a significant contribution to an overall improved understanding of equatorial ocean dynamics. The moored observatory at 0°N, 23°W is an ongoing example of a successful multinational collaboration extending over more than two decades.

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    Authors: Barth, Alexander; Beckers, Jean-Marie; Troupin, Charles; Eliezer, Menashe; +3 Authors

    DIVAnd v2.7.9 Diff since v2.7.8 Closed issues: Bulls eye in region without data (#90) How to leverage other data while gridding? (Enhancement) (#96) Failed test (#104) Merged pull requests: CompatHelper: bump compat for Interpolations to 0.14, (keep existing compat) (#103) (@github-actions[bot])

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    ZENODO
    Software . 2022
    Data sources: ZENODO
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