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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: Lagaisse, Rune; Muyle, Julie; Decrop, Wout; Deneudt, Klaas; +2 Authors

    Within the framework of Imagine (iMagine - EGI), we present a training dataset designed for the classification of phytoplankton species. The dataset comprises 337,613 images distributed across 95 classes, with each class containing a minimum of 100 and a maximum of 10,000 images. To facilitate model training, we have organized the data into a standard split, with 80% allocated for training, 10% for validation, and another 10% for testing purposes. This dataset structure ensures a balanced representation and supports scientific rigor in subsequent analyses. The images were collected through the framework of the Lifewatch marine observatory. Here, a number of fixed stations in the Belgian Part of the North Sea (BPNS) are visited on a monthly or seasonal basis using RV Simon Stevin. A grid of nine stations covers the coastal zone and are sampled monthly. Eight additional stations, located further at sea, are sampled on a seasonal basis. Samples are taken using a 55µm mesh size Apstein net and fixed in Lugol's iodine solution. In the lab, the samples are processed using a VS-4 FlowCAM model at 4X magnification, size range imaged is 55-300µm. The identification of the image data is done with the use of a classifier and followed by a manual validation step. Since May 2017, this dataset provides micro- and phytoplankton observations, mainly covering diatoms, dinoflagellates and cilliates, for the Belgian Part of the North Sea (BPNS).

    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
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    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
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      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/
    Authors: Lehmann, Nadine; Reed, Daniel C; Buchwald, Carolyn; Lavoie, Diane; +4 Authors

    Subsurface nutrients on the Scotian Shelf, an ocean region at the convergence of the subpolar and subtropical western boundary currents (i.e., Labrador Current and Gulf Stream), are chiefly modulated by upstream shelf and slope waters. Yet little is known about long-term fluctuations in the advective transport of nutrients to the shelf. To examine the relationships between subsurface nutrient concentrations and dominant slope water masses at the Scotian Shelf break, we assembled all available hydrographic data (temperature, salinity) and dissolved nutrient data (nitrate, phosphate, silicate) for the period 1975-2020. Hydrographic and nutrient data were extracted from the Fisheries and Oceans Canada (DFO) data archives MEDS (Marine Environmental Data Section Archive; DFO, 2023a) and BioChem (DFO, 2023b; Devine et al., 2014), respectively, and predominantly include data from current DFO programs (e.g., Atlantic Zone Monitoring Program (AZMP)) and legacy datasets. Hydrographic data consist of vertical water column profiles collected using a conductivity-temperature-depth (CTD) profiler, generally mounted to a rosette sampler equipped with Niskin bottles for discrete water and nutrient sampling (Mitchel et al., 2002). Nutrient (nitrate, phosphate, silicate) measurements generally followed well established colorimetric techniques outlined in detail in the AZMP sampling protocol (Mitchell et al., 2002). Only nutrient data that passed initial quality control (i.e., BioChem quality flags of 1 and 0) are included in the datasets provided here (see Devine et al., 2014 for details on quality control (QC) procedures). In addition to hydrographic and nutrient parameters, datasets further include information on designated regions (e.g., WSS: Western Scotian Shelf, CSS: Central Scotian Shelf, ESS: Eastern Scotian Shelf) as defined in Lehmann et al (2023).

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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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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: Varma, Devika; Hopmans, Ellen C; van Kemenda, Zoe R; Kusch, Stephanie; +6 Authors

    Here, we compile an extensive global surface sediment dataset of OH-isoGDGTs as well as regular isoprenoid GDGTs (isoGDGTs), with both data generated at NIOZ and previously published data from other laboratories. We explore recently developed temperature proxies based on hydroxylated isoprenoid Glycerol Dialkyl Glycerol Tetraethers (OH-isoGDGTs), such as %OH, RI-OH, RI-OH' and OHC for their potential for reconstructing past temperature changes. The data contains contains temperature records based on TEX86, TEX86OH, %OH, RI-OH, RI-OH', OHC from sediment core Co1010 which was retrived from the Prydez Bay. This dataset is related to the study 'Evaluating isoprenoidal hydroxylated GDGT-based temperature proxies in surface sediments from the global ocean'.

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    Authors: Pinho, Tainã Marcos Lima; Chiessi, Cristiano Mazur; Campos, Marília C; Portilho-Ramos, Rodrigo Costa; +9 Authors
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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors

    This study aims to give insight into the processes affecting permafrost organic carbon (OC) during transport from its source to its sink, through a study on three sediment fractions along a land-to-ocean transect. Material was followed from thawing permafrost, through a dynamic 'disturbed zone' and the nearshore zone, to an enclosed basin offshore Herschel Island - Qikiqtaruk, to assess sorting and degradation processes on specific fractions of sediment OC. Sediment, soil and permafrost samples were taken along a transect from the source (undisturbed active layer and permafrost), via two transitional zones (a terrestrial disturbed zone, i.e. the 'scar zone' of the RTS, and the marine nearshore zone up to a water depth of 5 m), to sink (basin sediment, water depth >20 m) at the coast of Herschel Island – Qikiqtaruk and the (semi-enclosed) Herschel Basin in Yukon, Canada, just west of the Mackenzie River delta. Samples were taken in May 2016 and July 2017. Sample material was fractionated with an aqueous (MilliQ) solution of sodium polytungstate (SPT; Na6[H2W12O40]), with a density of 1.8 g cm³, followed by wet-sieving over a 63 µm mesh, thus separating loose OC from mineral-associated OC. Each fraction was analysed for element content (TOC, TN), carbon isotopes (δ¹³C, Δ¹⁴C), molecular biomarkers (n-alkanes, n-alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The relative abundance of specific biomarkers can also be used as indicator for degradation of organic carbon. Furthermore, the OC 'loading' (concentration of OC normalised to mineral surface area; in mgOC/m²) and terrestrial biomarker loading (µgOC/m²) can be used to assess loss of (permafrost) OC from mineral particles. The combination of these methods allows us to disentangle sorting processes from degradation of OC along the land-to-ocean continuum, and provides a detailed insight into the fate of thawed and eroded permafrost OC.

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    Authors: Teixidó, Núria; Carlot, Jérémy; Alliouane, Samir; Ballesteros, Enric; +8 Authors

    Percent cover of 215 benthic species was quantified using two approaches with scuba diving: i) visual census techniques in Shallow Reef (benthic surveys were performed from 0.5 to 3 m depth) and Reef habitats (benthic surveys at ~10 m depth) dominated by algae and ii) photographic surveys in Caves (benthic surveys at ~3 m depth) and Deep Reef habitats (benthic surveys at ~ 40 m depth) dominated by sessile invertebrate animals. For visual censuses, 12 quadrats (25x25 cm) were haphazardly placed at Vent 1 and Vent 3 and the two corresponding ambient pH sites (n = 3 sites per habitat, n = 36 quadrats for Shallow Reefs and Reefs, respectively). For photographic surveys, 48–54 and 24 photoquadrats (25x25 cm) were taken at Vent 2 and Vent 4 and the two corresponding reference sites with ambient pH for each habitat (n = 3 sites per habitat, n = 144 photographic quadrats for Caves and n = 72 photographic quadrats for Deep Reefs, respectively). Both types of quadrats (visual censuses in the field and photographs in the lab) were divided into a grid of 25 squares (5 cm x 5 cm each). Percentage cover was quantified by counting the number of squares filled in the grid by the species and expressing the final values as relative percentages.

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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Knutsen, Tor; Strand, Espen; Klevjer, Thor Aleksander; Thorsen Broms, Cecilie; +1 Authors

    We provide here a curated set of data containing representative length/size measurements of key macroplankton and mesopelagic fish collected by a Macroplankton trawl (~6 m x 6 m mouth opening, non-graded mesh with 3 mm light-opening) from cruises in the Norwegian Sea during the International Ecosystem Survey in the Nordic Seas (IESNS) in May to June 2019 and 2020. The collected material is obtained from standardized V-shaped hauls down to a maximum depth of about 1000 m, although some shallower V-hauls are included either to look at the vertically migrating mesopelagic organisms that enter the epipelagic domain during nighttime hours, or because of depth restrictions due to shallow bottom topography.

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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: Lagaisse, Rune; Muyle, Julie; Decrop, Wout; Deneudt, Klaas; +2 Authors

    Within the framework of Imagine (iMagine - EGI), we present a training dataset designed for the classification of phytoplankton species. The dataset comprises 337,613 images distributed across 95 classes, with each class containing a minimum of 100 and a maximum of 10,000 images. To facilitate model training, we have organized the data into a standard split, with 80% allocated for training, 10% for validation, and another 10% for testing purposes. This dataset structure ensures a balanced representation and supports scientific rigor in subsequent analyses. The images were collected through the framework of the Lifewatch marine observatory. Here, a number of fixed stations in the Belgian Part of the North Sea (BPNS) are visited on a monthly or seasonal basis using RV Simon Stevin. A grid of nine stations covers the coastal zone and are sampled monthly. Eight additional stations, located further at sea, are sampled on a seasonal basis. Samples are taken using a 55µm mesh size Apstein net and fixed in Lugol's iodine solution. In the lab, the samples are processed using a VS-4 FlowCAM model at 4X magnification, size range imaged is 55-300µm. The identification of the image data is done with the use of a classifier and followed by a manual validation step. Since May 2017, this dataset provides micro- and phytoplankton observations, mainly covering diatoms, dinoflagellates and cilliates, for the Belgian Part of the North Sea (BPNS).

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: Lehmann, Nadine; Reed, Daniel C; Buchwald, Carolyn; Lavoie, Diane; +4 Authors

    Subsurface nutrients on the Scotian Shelf, an ocean region at the convergence of the subpolar and subtropical western boundary currents (i.e., Labrador Current and Gulf Stream), are chiefly modulated by upstream shelf and slope waters. Yet little is known about long-term fluctuations in the advective transport of nutrients to the shelf. To examine the relationships between subsurface nutrient concentrations and dominant slope water masses at the Scotian Shelf break, we assembled all available hydrographic data (temperature, salinity) and dissolved nutrient data (nitrate, phosphate, silicate) for the period 1975-2020. Hydrographic and nutrient data were extracted from the Fisheries and Oceans Canada (DFO) data archives MEDS (Marine Environmental Data Section Archive; DFO, 2023a) and BioChem (DFO, 2023b; Devine et al., 2014), respectively, and predominantly include data from current DFO programs (e.g., Atlantic Zone Monitoring Program (AZMP)) and legacy datasets. Hydrographic data consist of vertical water column profiles collected using a conductivity-temperature-depth (CTD) profiler, generally mounted to a rosette sampler equipped with Niskin bottles for discrete water and nutrient sampling (Mitchel et al., 2002). Nutrient (nitrate, phosphate, silicate) measurements generally followed well established colorimetric techniques outlined in detail in the AZMP sampling protocol (Mitchell et al., 2002). Only nutrient data that passed initial quality control (i.e., BioChem quality flags of 1 and 0) are included in the datasets provided here (see Devine et al., 2014 for details on quality control (QC) procedures). In addition to hydrographic and nutrient parameters, datasets further include information on designated regions (e.g., WSS: Western Scotian Shelf, CSS: Central Scotian Shelf, ESS: Eastern Scotian Shelf) as defined in Lehmann et al (2023).

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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Varma, Devika; Hopmans, Ellen C; van Kemenda, Zoe R; Kusch, Stephanie; +6 Authors

    Here, we compile an extensive global surface sediment dataset of OH-isoGDGTs as well as regular isoprenoid GDGTs (isoGDGTs), with both data generated at NIOZ and previously published data from other laboratories. We explore recently developed temperature proxies based on hydroxylated isoprenoid Glycerol Dialkyl Glycerol Tetraethers (OH-isoGDGTs), such as %OH, RI-OH, RI-OH' and OHC for their potential for reconstructing past temperature changes. The data contains contains temperature records based on TEX86, TEX86OH, %OH, RI-OH, RI-OH', OHC from sediment core Co1010 which was retrived from the Prydez Bay. This dataset is related to the study 'Evaluating isoprenoidal hydroxylated GDGT-based temperature proxies in surface sediments from the global ocean'.

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    Authors: Pinho, Tainã Marcos Lima; Chiessi, Cristiano Mazur; Campos, Marília C; Portilho-Ramos, Rodrigo Costa; +9 Authors
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    Authors: Jong, Dirk; Bröder, Lisa; Tesi, Tommaso; Tanski, George; +6 Authors

    This study aims to give insight into the processes affecting permafrost organic carbon (OC) during transport from its source to its sink, through a study on three sediment fractions along a land-to-ocean transect. Material was followed from thawing permafrost, through a dynamic 'disturbed zone' and the nearshore zone, to an enclosed basin offshore Herschel Island - Qikiqtaruk, to assess sorting and degradation processes on specific fractions of sediment OC. Sediment, soil and permafrost samples were taken along a transect from the source (undisturbed active layer and permafrost), via two transitional zones (a terrestrial disturbed zone, i.e. the 'scar zone' of the RTS, and the marine nearshore zone up to a water depth of 5 m), to sink (basin sediment, water depth >20 m) at the coast of Herschel Island – Qikiqtaruk and the (semi-enclosed) Herschel Basin in Yukon, Canada, just west of the Mackenzie River delta. Samples were taken in May 2016 and July 2017. Sample material was fractionated with an aqueous (MilliQ) solution of sodium polytungstate (SPT; Na6[H2W12O40]), with a density of 1.8 g cm³, followed by wet-sieving over a 63 µm mesh, thus separating loose OC from mineral-associated OC. Each fraction was analysed for element content (TOC, TN), carbon isotopes (δ¹³C, Δ¹⁴C), molecular biomarkers (n-alkanes, n-alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The relative abundance of specific biomarkers can also be used as indicator for degradation of organic carbon. Furthermore, the OC 'loading' (concentration of OC normalised to mineral surface area; in mgOC/m²) and terrestrial biomarker loading (µgOC/m²) can be used to assess loss of (permafrost) OC from mineral particles. The combination of these methods allows us to disentangle sorting processes from degradation of OC along the land-to-ocean continuum, and provides a detailed insight into the fate of thawed and eroded permafrost OC.

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    Authors: Teixidó, Núria; Carlot, Jérémy; Alliouane, Samir; Ballesteros, Enric; +8 Authors

    Percent cover of 215 benthic species was quantified using two approaches with scuba diving: i) visual census techniques in Shallow Reef (benthic surveys were performed from 0.5 to 3 m depth) and Reef habitats (benthic surveys at ~10 m depth) dominated by algae and ii) photographic surveys in Caves (benthic surveys at ~3 m depth) and Deep Reef habitats (benthic surveys at ~ 40 m depth) dominated by sessile invertebrate animals. For visual censuses, 12 quadrats (25x25 cm) were haphazardly placed at Vent 1 and Vent 3 and the two corresponding ambient pH sites (n = 3 sites per habitat, n = 36 quadrats for Shallow Reefs and Reefs, respectively). For photographic surveys, 48–54 and 24 photoquadrats (25x25 cm) were taken at Vent 2 and Vent 4 and the two corresponding reference sites with ambient pH for each habitat (n = 3 sites per habitat, n = 144 photographic quadrats for Caves and n = 72 photographic quadrats for Deep Reefs, respectively). Both types of quadrats (visual censuses in the field and photographs in the lab) were divided into a grid of 25 squares (5 cm x 5 cm each). Percentage cover was quantified by counting the number of squares filled in the grid by the species and expressing the final values as relative percentages.

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