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  • PANGAEA  (34,429)
  • 2020-2024  (34,429)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
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    Basic and other measurements of radiation at Concordia station (2006-01 et seq) (2021)
    PANGAEA
    In:  Institute of Atmospheric Sciences and Climate of the Italian National Research Council, Bologna
    Details
    Publication Date: 2024-06-20
    Description: This is a compilation of all Concordia station datasets that were/are published in the frame of BSRN. The collection will be updated regularly with recent data. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Antarctica; Baseline Surface Radiation Network; BSRN; Concordia Station, Dome C; DOM; Monitoring station; MONS
    Type: Dataset
    Format: application/zip, 190 datasets
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  • 2
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    Non-clay and clay mineral compositions of Western North Atlantic sediments (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The data set represents an extensive collection of the sediment non-clay and clay mineral compositions, based on quantitative X-ray diffraction (qXRD) data. Mineral compositions are included from 90 bedrock or large ice-rafted clasts from around the Western North Atlantic. Sediment samples on the 〈 2mm sediment fraction were obtained using the whole pattern approach to mineral identification from the same area that include cores and sites collected on CCS Hudson and Marion Dufrense expeditons. Several cores include one or more detrital carbonate Hudson Strait Heinrich events.
    Keywords: bedrock and IRD clast mineral compositions; Hudson Strait Heinrich events; Labrador Sea; non-clay and clay minerals
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 3
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    Surface Drifter Data of the Labrador Sea: Positions of Lagrangian Hereon Drifters Deployed in the Labrador Sea during Meteor Cruise M184 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The scientific program of the Meteor M184 expedition was dedicated to studies on the intensity of water mass transformation, a synoptic view of the hydrography in the Labrador Sea and the Irminger Basin, as well as submesoscale resolving surveys of fronts. Measurements of the vertical structure of temperature, salinity, density, oxygen, optical properties, and the flow along selected sections have been surveyed during the M184 expedition. Close to the surface, permanent registrations are carried out with the thermosalinograph (temperature, salinity), meteorological data are continuously collected, flow measurements up to 1000 m depth are performed with the ships installed ADCP and surface currents by a X-band marine radar. Detailed surveys on submesoscale fronts were done with autonomous underwater gliders and ship mounted gear. Furthermore, 40 Hereon drifters were deployed to sample the surface flow. One drifter did not collect any data.
    Keywords: Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: application/zip, 39 datasets
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  • 4
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    KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: sediment trap particle flux data and water column biogeochemistry (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The data presented herein originates from a mesocosm study conducted as part of the EU H2020 OceanNETs project, aimed at investigating the ecological ramifications of ocean alkalinity enhancement. Nine mesocosms were deployed in Taliarte Harbour, Gran Canaria, Spain, and systematically sampled using integrated water samplers over the period spanning from September 10th to October 25th, 2021. Alkalinity was employed in a gradient design, ranging from ambient (0 µeq kg-1 added alkalinity, OAE0) to elevated levels of 2400 µeq kg-1 additional alkalinity (OAE2400) in increments of 300 µeq kg-1. The dataset encompasses a spectrum of sediment trap particle flux data, water column biogeochemistry variables, including inorganic nutrients, carbonate chemistry parameters, and particulate matter, alongside chlorophyll a concentrations. The study and data set offer insights into impacts of alkalinity enhancement on marine ecosystems and their associated biogeochemistry.
    Keywords: carbon sequestration; export flux; mesocosm study; ocean alkalinity enhancement; Ocean-based Negative Emission Technologies; OceanNETs; particle properties; remineralization rate
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 5
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    Late spring 2018 land-fast sea ice and sub-ice platelet layer thicknesses from electromagnetic induction soundings along repeated west to to east transects in McMurdo Sound, Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: Ground-based electromagnetic induction (EM) measurements of land-fast sea ice and sub-ice platelet layer (SIPL) thickness distributions were carried out in McMurdo Sound, Antarctica in late spring (November 1-19) of 2018. Repeated west to east EM transects were carried out across McMurdo Sound along latitude 77.767°S. The EM data was acquired using a frequency-domain Geonics Ltd EM31-MK2 instrument mounted on a sledge and towed by skidoo. The thicknesses of consolidated ice (sea ice plus the snow layer) and the sub-ice platelet layer were simultaneously retrieved from the EM31 measured response using forward modelling and inversion methods of Irvin (2018). Variability in EM thicknesses detected significant growth of sub-ice platelet layer over the 18-day survey period (Brett et al., 2024).
    Keywords: Antarctic sea ice; DEEP SOUTH NATIONAL SCIENCE CHALLENGE: Targeted observation and process-informed modelling of Antarctic sea ice; electromagnetic induction; ice-ocean interaction; ice thickness; Sub-ice platelet layer; TOPIMASI
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 6
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    Optimal perturbation (helical, Re=2000,A=1,Wo=15): snapshot axial vorticity t=t0 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed. The data file 'OptimalPerturbation_time_VortZ_helical.dat' shows the streamwise vorticity of the optimal helical perturbation in the radial-radial cross-section. This file includes three columns: the first two column 'x' and 'y' indicate Cartesian coordinates in the radial-radial cross-section; the third column 'VortZ' indicates streamwise vorticity.
    Keywords: FLUID_SIMULATION_MODELING; FSM; Model simulation; nonlinear instability; r, coordinate, cylindrical, radial component; transition to turbulence; z, coordinate, cylindrical, axial component; ω_z, vorticity, cylindrical, axial component
    Type: Dataset
    Format: text/tab-separated-values, 27648 data points
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  • 7
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    Optimal perturbation (classic, Re=2000,A=1,Wo=15): snapshot axial vorticity t=tf (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed. The data file 'OptimalPerturbation_time_VortZ_classic.dat' shows the streamwise vorticity of the optimal classic perturbation in the radial-radial cross-section. This file includes three columns: the first two column 'x' and 'y' indicate Cartesian coordinates in the radial-radial cross-section; the third column 'VortZ' indicates streamwise vorticity.
    Keywords: FLUID_SIMULATION_MODELING; FSM; Model simulation; nonlinear instability; r, coordinate, cylindrical, radial component; transition to turbulence; z, coordinate, cylindrical, axial component; ω_z, vorticity, cylindrical, axial component
    Type: Dataset
    Format: text/tab-separated-values, 27648 data points
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  • 8
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    Optimal perturbation (classic, Re=2000,A=1,Wo=15): u_z profile t=t0 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed. The data file 'Uz_profile_classic.dat' shows the streamwise velocity profile corresponding to the optimal classic perturbation. This file includes two columns: the first column 'r' indicates radial coordinate; the second column 'uz' indicates streamwise velocity.
    Keywords: FLUID_SIMULATION_MODELING; FSM; Model simulation; nonlinear instability; Radial co-ordinate; transition to turbulence; u_z, velocity, cylindrical, axial component
    Type: Dataset
    Format: text/tab-separated-values, 402 data points
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  • 9
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    Optimal perturbation (helical, Re=2000,A=1,Wo=15): u_z profile t=t0 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed. The data file 'Uz_profile_helical.dat' shows the streamwise velocity profile corresponding to the optimal helical perturbation. This file includes two columns: the first column 'r' indicates radial coordinate; the second column 'uz' indicates streamwise velocity.
    Keywords: FLUID_SIMULATION_MODELING; FSM; Model simulation; nonlinear instability; Radial co-ordinate; transition to turbulence; u_z, velocity, cylindrical, axial component
    Type: Dataset
    Format: text/tab-separated-values, 402 data points
    Location Call Number Expected Availability
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  • 10
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM49 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-20
    Description: Multibeam bathymetry raw data was recorded in the Tropical Atlantic during cruise MSM49 that took place between 2015-11-28 and 2015-12-21. The data was collected using the ship's own Kongsberg EM 122. This data is part of the DAM (German Marine Research Alliance) underway research data project.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; EM122; EM122 multibeam echosounder; File content; LATITUDE; LONGITUDE; Maria S. Merian; MSM49; MSM49_0_Underway-1; Multibeam Echosounder; Ship speed; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath bathymetry
    Type: Dataset
    Format: text/tab-separated-values, 3168 data points
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