Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to European Marine Science. Are you interested to view more results? Visit OpenAIRE - Explore.
243 Research products, page 1 of 25

  • European Marine Science
  • Research data
  • Research software
  • Other research products
  • GB

10
arrow_drop_down
Date (most recent)
arrow_drop_down
  • Open Access English
    Authors: 
    Romero-Alvarez, Johana; Lupaşcu, Aurelia; Lowe, Douglas; Badia, Alba; Acher-Nicholls, Scott; Dorling, Steve R.; Reeves, Claire E.; Butler, Tim;
    Project: EC | ASIBIA (616938)

    Tropospheric ozone (O3) concentrations depend on a combination of hemispheric, regional, and local-scale processes. Estimates of how much O3 is produced locally vs. transported from further afield are essential in air quality management and regulatory policies. Here, a tagged-ozone mechanism within the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) is used to quantify the contributions to surface O3 in the UK from anthropogenic nitrogen oxide (NOx) emissions from inside and outside the UK during May–August 2015. The contribution of the different source regions to three regulatory O3 metrics is also examined. It is shown that model simulations predict the concentration and spatial distribution of surface O3 with a domain-wide mean bias of −3.7 ppbv. Anthropogenic NOx emissions from the UK and Europe account for 13 % and 16 %, respectively, of the monthly mean surface O3 in the UK, as the majority (71 %) of O3 originates from the hemispheric background. Hemispheric O3 contributes the most to concentrations in the north and the west of the UK with peaks in May, whereas European and UK contributions are most significant in the east, south-east, and London, i.e. the UK's most populated areas, intensifying towards June and July. Moreover, O3 from European sources is generally transported to the UK rather than produced in situ. It is demonstrated that more stringent emission controls over continental Europe, particularly in western Europe, would be necessary to improve the health-related metric MDA8 O3 above 50 and 60 ppbv. Emission controls over larger areas, such as the Northern Hemisphere, are instead required to lessen the impacts on ecosystems as quantified by the AOT40 metric.

  • Research software . 2022
    Open Access English
    Authors: 
    Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;
    Publisher: Zenodo
    Project: EC | SEACHANGE (247220), UKRI | Addressing the Grand Chal... (NE/R000727/1), EC | Couplet (786427), EC | IS-ENES2 (312979), EC | IS-ENES3 (824084)

    {"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

  • Research software . 2022
    Open Access English
    Authors: 
    Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;
    Publisher: Zenodo
    Project: EC | IS-ENES2 (312979), EC | SEACHANGE (247220), UKRI | Addressing the Grand Chal... (NE/R000727/1), EC | Couplet (786427), EC | IS-ENES3 (824084)

    A CF-compliant Earth Science data analysis library

  • Open Access English
    Authors: 
    McKenna, Christine;
    Publisher: Zenodo
    Project: UKRI | The Cambridge Earth Syste... (NE/L002507/1)

    This is a dataset of output from version 4 of the Reading Intermediate Global Circulation Model (IGCM4) that was used in the article: McKenna, C. M., Bracegirdle, T. J., Shuckburgh, E. F., Haynes, P. H., & Joshi, M. M. (2018). Arctic sea ice loss in different regions leads to contrasting Northern Hemisphere impacts. Geophysical Research Letters, 45, 945-954. https://doi.org/10.1002/2017GL076433 Files required to setup the IGCM4 simulations are given in the directory 'IGCM4_setup'. All other directories contain netcdf files of timeseries of various monthly mean fields for each IGCM4 simulation (see paper for details on these simulations). The available variables are: ua: zonal winds zg: geopotential height ts: surface temperature hfls, hfss, rlds, rlus: surface heatfluxes Flat, Fz, divF: Eliassen-Palm flux vectors and their divergence (only for months November-February) The ua and zg variables are given for different pressure levels indicated in the filenames (e.g., ua500 is ua at 500 hPa). ua is additionally given in terms of the zonal mean with latitude and pressure. zg is additionally given in terms of longitude and pressure, averaged over latitudes between 60N-80N. All files follow CF conventions in terms of metadata, variable names, etc. Note that the CTL, ATL, PAC, and ATLandPAC simulations were all run continuously in time (i.e., every year starts from the end of the previous year). The 0.5ATL and 0.5PAC simulations, however, were run for 300 years in three separate 100-year chunks (i.e., the initial conditions used to start each 100-year chunk were different). The three 100-year chunks have been appended together in the netcdf files.

  • Open Access English
    Authors: 
    McLean, Dianne L.; Ferreira, Luciana C.; Benthuysen, Jessica A.; Miller, Karen J.; Schlappy, Marie-Lise; Ajemian, Matthew J.; Berry, Oliver; Birchenough, Silvana N. R.; Bond, Todd; Boschetti, Fabio; +36 more
    Country: United Kingdom

    This research was supported by the National Decommissioning Research Initiative (NDRI Australia). We acknowledge the time contribution of all co-authors and additionally via research undertaken through the UKRI INSITE Programme including projects ANChor, CHASANS (NE/T010886/1), EcoConnect, EcoSTAR (NE/T010614/1), FuECoMMS (NE/T010800/1), MAPS, NSERC. DMP was supported through The Marine Alliance for Science and Technology for Scotland (MASTS) funded by the Scottish Funding Council and contributing institutions. SNRB and KH (Cefas) were funded by Cefas and the UK INSITE North Sea programme. Offshore platforms, subsea pipelines, wells and related fixed structures supporting the oil and gas (O&G) industry are prevalent in oceans across the globe, with many approaching the end of their operational life and requiring decommissioning. Although structures can possess high ecological diversity and productivity, information on how they interact with broader ecological processes remains unclear. Here, we review the current state of knowledge on the role of O&G infrastructure in maintaining, altering or enhancing ecological connectivity with natural marine habitats. There is a paucity of studies on the subject with only 33 papers specifically targeting connectivity and O&G structures, although other studies provide important related information. Evidence for O&G structures facilitating vertical and horizontal seascape connectivity exists for larvae and mobile adult invertebrates, fish and megafauna; including threatened and commercially important species. The degree to which these structures represent a beneficial or detrimental net impact remains unclear, is complex and ultimately needs more research to determine the extent to which natural connectivity networks are conserved, enhanced or disrupted. We discuss the potential impacts of different decommissioning approaches on seascape connectivity and identify, through expert elicitation, critical knowledge gaps that, if addressed, may further inform decision making for the life cycle of O&G infrastructure, with relevance for other industries (e.g. renewables). The most highly ranked critical knowledge gap was a need to understand how O&G structures modify and influence the movement patterns of mobile species and dispersal stages of sessile marine species. Understanding how different decommissioning options affect species survival and movement was also highly ranked, as was understanding the extent to which O&G structures contribute to extending species distributions by providing rest stops, foraging habitat, and stepping stones. These questions could be addressed with further dedicated studies of animal movement in relation to structures using telemetry, molecular techniques and movement models. Our review and these priority questions provide a roadmap for advancing research needed to support evidence-based decision making for decommissioning O&G infrastructure. Publisher PDF Peer reviewed

  • Open Access English
    Authors: 
    Healy, Susan D.; Patton, B. Wren;
    Country: United Kingdom

    But fish cognitive ecology did not begin in rivers and streams. Rather, one of the starting points for work on fish cognitive ecology was work done on the use of visual cues by homing pigeons. Prior to working with fish, Victoria Braithwaite helped to establish that homing pigeons rely not just on magnetic and olfactory cues but also on visual cues for successful return to their home loft. Simple, elegant experiments on homing established Victoria's ability to develop experimental manipulations to examine the role of visual cues in navigation by fish in familiar areas. This work formed the basis of a rich seam of work whereby a fish's ecology was used to propose hypotheses and predictions as to preferred cue use, and then cognitive abilities in a variety of fish species, from model systems (Atlantic salmon and sticklebacks) to the Panamanian Brachyraphis episcopi. Cognitive ecology in fish led to substantial work on fish pain and welfare, but was never left behind, with some of Victoria's last work addressed to determining the neural instantiation of cognitive variation. Publisher PDF Peer reviewed

  • Research software . 2022
    Open Access English
    Authors: 
    Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;
    Publisher: Zenodo
    Project: EC | IS-ENES3 (824084), EC | SEACHANGE (247220), UKRI | Addressing the Grand Chal... (NE/R000727/1), EC | Couplet (786427), EC | IS-ENES2 (312979)

    A CF-compliant Earth Science data analysis library

  • Open Access English
    Authors: 
    Sam Royston; Rory Bingham; Jonathan Bamber;
    Publisher: Zenodo
    Project: EC | GlobalMass (694188)

    The data produced from analysis to be published in Ocean Science Discussions, paper entitled "Attributing decadal climate variability in coastal sea-level trends". NetCDF contains the following sets of fields: 1. Indexing: An index and location (lat, lon) of the coastal grid cells, a locator index attributing each cell to Atlantic, Pacific and Indian Ocean basin, a time (decimal year) index. 2. NEMO model trends (nemo_<component>_trend): Rolling decadal trends at each coastal grid cell from the NEMO model run for steric, manometric (dynamic) and GRD. The sum of these components gives the equivalent to absolute sea level trend. 3. Climate and oceanographic mode indices: The rolling decadal trends in climate indices and the AMOC index calculated from the AMOC model (ci_trend) and their names (ci_index). 4. Empirical Orthogonal Function spatial pattern (eof_<basin>_<component>_D) and Principal Component time series (eof_<basin>_<component>_PC) of the NEMO model trends. 5. Coefficient of linear regression between PC and climate indices (recon_<basin>_<component>_beta) and the rolling trend time series at each grid cell from the reconstruction, sum{ci_trend*beta} (recon_<basin>_<component>_trend). In 4 and 5, the indices are given by basin. The total coastline is a concatenation of the Atlantic, Pacific and Indian basin data in that order. The absolute SSH is given by the sum of components. i.e. the SSH for all coastal cells in order index: recon_sum_trend([index(Atlantic_index); index(Pacific_index); index(Indian_index)] = ... [recon_Atlantic_manometric_trend+recon_Atlantic_steric_trend+recon_Atlantic_grd_trend; ... recon_Pacific_manometric_trend+recon_Pacific_steric_trend+recon_Pacific_grd_trend; ... recon_Indian_manometric_trend+recon_Indian_steric_trend+recon_Indian_grd_trend]

  • Open Access English
    Authors: 
    Hendry, Katharine R; Opher, Jacob; Brearley, James Alexander;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | ICY-LAB (678371)

    This data release includes Lowered Acoustic Doppler Current Profile data collected during a 2017 (June - August) research expedition onboard the RRS Discovery, DY081, in the North Atlantic Ocean. DY081 was the first fieldwork component of a European Research Council funded project, ICY-LAB, led by Dr. K. Hendry from the University of Bristol to study nutrient cycling in the North Atlantic. Twenty-four CTD casts were carried out in four sites of interest: Orphan Knoll off the coast of Newfoundland, and Nuuk, Nasrsaq, and Cape Farewell off southwest Greenland. During each cast, two Teledyne RD WorkHorse 300 kHz ADCPs were secured to the CTD rosette facing in opposite directions. Raw LADCP data files were processed with the LDEO LADCP processing software version IX_8. The processing version was set to bottom tracking mode and employed auxiliary CTD time series data. Processed CTD profile files also incorporated GPS data stored parallel in time, arriving from the ship's 1 Hz feed. Pairing the CTD profile data with the LADCP casts in time is executed by correlating the pressure time series of the CTD file with the depth of the LADCP cast, itself calculated through integration of the vertical velocity. Shipboard ADCP data were not included in the processing procedure. Difficulties were encountered for the CTD stations near Nuuk in waters with a bottom depth shallower than 100m (station 11 and station 14), and with CTD station 22. See cruise report for full details. Note that no data were recorded from CTD station 12.

  • Authors: 
    Larkin, Christina;
    Country: United Kingdom

    This dataset consists of supplementary data tables (S4 to S15) with all underlying data and information on sampling localities. The data derive from a study of reactive phases in suspended particulates in a major Arctic river, the Mackenzie River (largest sediment source to the Arctic Ocean). Data derive from various sampling localities and six sediment cores. Data tables include information on: mass balance verification of leaching method; elemental concentrations of filtrates, sediment residue concentration data and sediment leachate concentrations (ICP-OES); neodymium and strontium isotopic data on river sediments and filtered water; REE concentration data on suspended sediment leaches and residues; REE concentrations in standards via isotope dilution (ICP-MS). The paper associated with this dataset is available by subscription at https://doi.org/10.1016/j.epsl.2021.116933. The accepted manuscript and a document of supplementary materials can be accessed via https://www.repository.cam.ac.uk/handle/1810/324773.

Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to European Marine Science. Are you interested to view more results? Visit OpenAIRE - Explore.
243 Research products, page 1 of 25
  • Open Access English
    Authors: 
    Romero-Alvarez, Johana; Lupaşcu, Aurelia; Lowe, Douglas; Badia, Alba; Acher-Nicholls, Scott; Dorling, Steve R.; Reeves, Claire E.; Butler, Tim;
    Project: EC | ASIBIA (616938)

    Tropospheric ozone (O3) concentrations depend on a combination of hemispheric, regional, and local-scale processes. Estimates of how much O3 is produced locally vs. transported from further afield are essential in air quality management and regulatory policies. Here, a tagged-ozone mechanism within the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) is used to quantify the contributions to surface O3 in the UK from anthropogenic nitrogen oxide (NOx) emissions from inside and outside the UK during May–August 2015. The contribution of the different source regions to three regulatory O3 metrics is also examined. It is shown that model simulations predict the concentration and spatial distribution of surface O3 with a domain-wide mean bias of −3.7 ppbv. Anthropogenic NOx emissions from the UK and Europe account for 13 % and 16 %, respectively, of the monthly mean surface O3 in the UK, as the majority (71 %) of O3 originates from the hemispheric background. Hemispheric O3 contributes the most to concentrations in the north and the west of the UK with peaks in May, whereas European and UK contributions are most significant in the east, south-east, and London, i.e. the UK's most populated areas, intensifying towards June and July. Moreover, O3 from European sources is generally transported to the UK rather than produced in situ. It is demonstrated that more stringent emission controls over continental Europe, particularly in western Europe, would be necessary to improve the health-related metric MDA8 O3 above 50 and 60 ppbv. Emission controls over larger areas, such as the Northern Hemisphere, are instead required to lessen the impacts on ecosystems as quantified by the AOT40 metric.

  • Research software . 2022
    Open Access English
    Authors: 
    Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;
    Publisher: Zenodo
    Project: EC | SEACHANGE (247220), UKRI | Addressing the Grand Chal... (NE/R000727/1), EC | Couplet (786427), EC | IS-ENES2 (312979), EC | IS-ENES3 (824084)

    {"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

  • Research software . 2022
    Open Access English
    Authors: 
    Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;
    Publisher: Zenodo
    Project: EC | IS-ENES2 (312979), EC | SEACHANGE (247220), UKRI | Addressing the Grand Chal... (NE/R000727/1), EC | Couplet (786427), EC | IS-ENES3 (824084)

    A CF-compliant Earth Science data analysis library

  • Open Access English
    Authors: 
    McKenna, Christine;
    Publisher: Zenodo
    Project: UKRI | The Cambridge Earth Syste... (NE/L002507/1)

    This is a dataset of output from version 4 of the Reading Intermediate Global Circulation Model (IGCM4) that was used in the article: McKenna, C. M., Bracegirdle, T. J., Shuckburgh, E. F., Haynes, P. H., & Joshi, M. M. (2018). Arctic sea ice loss in different regions leads to contrasting Northern Hemisphere impacts. Geophysical Research Letters, 45, 945-954. https://doi.org/10.1002/2017GL076433 Files required to setup the IGCM4 simulations are given in the directory 'IGCM4_setup'. All other directories contain netcdf files of timeseries of various monthly mean fields for each IGCM4 simulation (see paper for details on these simulations). The available variables are: ua: zonal winds zg: geopotential height ts: surface temperature hfls, hfss, rlds, rlus: surface heatfluxes Flat, Fz, divF: Eliassen-Palm flux vectors and their divergence (only for months November-February) The ua and zg variables are given for different pressure levels indicated in the filenames (e.g., ua500 is ua at 500 hPa). ua is additionally given in terms of the zonal mean with latitude and pressure. zg is additionally given in terms of longitude and pressure, averaged over latitudes between 60N-80N. All files follow CF conventions in terms of metadata, variable names, etc. Note that the CTL, ATL, PAC, and ATLandPAC simulations were all run continuously in time (i.e., every year starts from the end of the previous year). The 0.5ATL and 0.5PAC simulations, however, were run for 300 years in three separate 100-year chunks (i.e., the initial conditions used to start each 100-year chunk were different). The three 100-year chunks have been appended together in the netcdf files.

  • Open Access English
    Authors: 
    McLean, Dianne L.; Ferreira, Luciana C.; Benthuysen, Jessica A.; Miller, Karen J.; Schlappy, Marie-Lise; Ajemian, Matthew J.; Berry, Oliver; Birchenough, Silvana N. R.; Bond, Todd; Boschetti, Fabio; +36 more
    Country: United Kingdom

    This research was supported by the National Decommissioning Research Initiative (NDRI Australia). We acknowledge the time contribution of all co-authors and additionally via research undertaken through the UKRI INSITE Programme including projects ANChor, CHASANS (NE/T010886/1), EcoConnect, EcoSTAR (NE/T010614/1), FuECoMMS (NE/T010800/1), MAPS, NSERC. DMP was supported through The Marine Alliance for Science and Technology for Scotland (MASTS) funded by the Scottish Funding Council and contributing institutions. SNRB and KH (Cefas) were funded by Cefas and the UK INSITE North Sea programme. Offshore platforms, subsea pipelines, wells and related fixed structures supporting the oil and gas (O&G) industry are prevalent in oceans across the globe, with many approaching the end of their operational life and requiring decommissioning. Although structures can possess high ecological diversity and productivity, information on how they interact with broader ecological processes remains unclear. Here, we review the current state of knowledge on the role of O&G infrastructure in maintaining, altering or enhancing ecological connectivity with natural marine habitats. There is a paucity of studies on the subject with only 33 papers specifically targeting connectivity and O&G structures, although other studies provide important related information. Evidence for O&G structures facilitating vertical and horizontal seascape connectivity exists for larvae and mobile adult invertebrates, fish and megafauna; including threatened and commercially important species. The degree to which these structures represent a beneficial or detrimental net impact remains unclear, is complex and ultimately needs more research to determine the extent to which natural connectivity networks are conserved, enhanced or disrupted. We discuss the potential impacts of different decommissioning approaches on seascape connectivity and identify, through expert elicitation, critical knowledge gaps that, if addressed, may further inform decision making for the life cycle of O&G infrastructure, with relevance for other industries (e.g. renewables). The most highly ranked critical knowledge gap was a need to understand how O&G structures modify and influence the movement patterns of mobile species and dispersal stages of sessile marine species. Understanding how different decommissioning options affect species survival and movement was also highly ranked, as was understanding the extent to which O&G structures contribute to extending species distributions by providing rest stops, foraging habitat, and stepping stones. These questions could be addressed with further dedicated studies of animal movement in relation to structures using telemetry, molecular techniques and movement models. Our review and these priority questions provide a roadmap for advancing research needed to support evidence-based decision making for decommissioning O&G infrastructure. Publisher PDF Peer reviewed

  • Open Access English
    Authors: 
    Healy, Susan D.; Patton, B. Wren;
    Country: United Kingdom

    But fish cognitive ecology did not begin in rivers and streams. Rather, one of the starting points for work on fish cognitive ecology was work done on the use of visual cues by homing pigeons. Prior to working with fish, Victoria Braithwaite helped to establish that homing pigeons rely not just on magnetic and olfactory cues but also on visual cues for successful return to their home loft. Simple, elegant experiments on homing established Victoria's ability to develop experimental manipulations to examine the role of visual cues in navigation by fish in familiar areas. This work formed the basis of a rich seam of work whereby a fish's ecology was used to propose hypotheses and predictions as to preferred cue use, and then cognitive abilities in a variety of fish species, from model systems (Atlantic salmon and sticklebacks) to the Panamanian Brachyraphis episcopi. Cognitive ecology in fish led to substantial work on fish pain and welfare, but was never left behind, with some of Victoria's last work addressed to determining the neural instantiation of cognitive variation. Publisher PDF Peer reviewed

  • Research software . 2022
    Open Access English
    Authors: 
    Hassell, David; Gregory, Jonathan; Bartholomew, Sadie L.;
    Publisher: Zenodo
    Project: EC | IS-ENES3 (824084), EC | SEACHANGE (247220), UKRI | Addressing the Grand Chal... (NE/R000727/1), EC | Couplet (786427), EC | IS-ENES2 (312979)

    A CF-compliant Earth Science data analysis library

  • Open Access English
    Authors: 
    Sam Royston; Rory Bingham; Jonathan Bamber;
    Publisher: Zenodo
    Project: EC | GlobalMass (694188)

    The data produced from analysis to be published in Ocean Science Discussions, paper entitled "Attributing decadal climate variability in coastal sea-level trends". NetCDF contains the following sets of fields: 1. Indexing: An index and location (lat, lon) of the coastal grid cells, a locator index attributing each cell to Atlantic, Pacific and Indian Ocean basin, a time (decimal year) index. 2. NEMO model trends (nemo_<component>_trend): Rolling decadal trends at each coastal grid cell from the NEMO model run for steric, manometric (dynamic) and GRD. The sum of these components gives the equivalent to absolute sea level trend. 3. Climate and oceanographic mode indices: The rolling decadal trends in climate indices and the AMOC index calculated from the AMOC model (ci_trend) and their names (ci_index). 4. Empirical Orthogonal Function spatial pattern (eof_<basin>_<component>_D) and Principal Component time series (eof_<basin>_<component>_PC) of the NEMO model trends. 5. Coefficient of linear regression between PC and climate indices (recon_<basin>_<component>_beta) and the rolling trend time series at each grid cell from the reconstruction, sum{ci_trend*beta} (recon_<basin>_<component>_trend). In 4 and 5, the indices are given by basin. The total coastline is a concatenation of the Atlantic, Pacific and Indian basin data in that order. The absolute SSH is given by the sum of components. i.e. the SSH for all coastal cells in order index: recon_sum_trend([index(Atlantic_index); index(Pacific_index); index(Indian_index)] = ... [recon_Atlantic_manometric_trend+recon_Atlantic_steric_trend+recon_Atlantic_grd_trend; ... recon_Pacific_manometric_trend+recon_Pacific_steric_trend+recon_Pacific_grd_trend; ... recon_Indian_manometric_trend+recon_Indian_steric_trend+recon_Indian_grd_trend]

  • Open Access English
    Authors: 
    Hendry, Katharine R; Opher, Jacob; Brearley, James Alexander;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | ICY-LAB (678371)

    This data release includes Lowered Acoustic Doppler Current Profile data collected during a 2017 (June - August) research expedition onboard the RRS Discovery, DY081, in the North Atlantic Ocean. DY081 was the first fieldwork component of a European Research Council funded project, ICY-LAB, led by Dr. K. Hendry from the University of Bristol to study nutrient cycling in the North Atlantic. Twenty-four CTD casts were carried out in four sites of interest: Orphan Knoll off the coast of Newfoundland, and Nuuk, Nasrsaq, and Cape Farewell off southwest Greenland. During each cast, two Teledyne RD WorkHorse 300 kHz ADCPs were secured to the CTD rosette facing in opposite directions. Raw LADCP data files were processed with the LDEO LADCP processing software version IX_8. The processing version was set to bottom tracking mode and employed auxiliary CTD time series data. Processed CTD profile files also incorporated GPS data stored parallel in time, arriving from the ship's 1 Hz feed. Pairing the CTD profile data with the LADCP casts in time is executed by correlating the pressure time series of the CTD file with the depth of the LADCP cast, itself calculated through integration of the vertical velocity. Shipboard ADCP data were not included in the processing procedure. Difficulties were encountered for the CTD stations near Nuuk in waters with a bottom depth shallower than 100m (station 11 and station 14), and with CTD station 22. See cruise report for full details. Note that no data were recorded from CTD station 12.

  • Authors: 
    Larkin, Christina;
    Country: United Kingdom

    This dataset consists of supplementary data tables (S4 to S15) with all underlying data and information on sampling localities. The data derive from a study of reactive phases in suspended particulates in a major Arctic river, the Mackenzie River (largest sediment source to the Arctic Ocean). Data derive from various sampling localities and six sediment cores. Data tables include information on: mass balance verification of leaching method; elemental concentrations of filtrates, sediment residue concentration data and sediment leachate concentrations (ICP-OES); neodymium and strontium isotopic data on river sediments and filtered water; REE concentration data on suspended sediment leaches and residues; REE concentrations in standards via isotope dilution (ICP-MS). The paper associated with this dataset is available by subscription at https://doi.org/10.1016/j.epsl.2021.116933. The accepted manuscript and a document of supplementary materials can be accessed via https://www.repository.cam.ac.uk/handle/1810/324773.