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  • Data  (35,384)
  • 2020-2024  (34,715)
  • 1970-1974  (663)
  • 1940-1944  (6)
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  • 1
    Publication Date: 2024-06-20
    Description: Abstract
    Description: This data publication includes the half-hourly Hp30 and ap30 indices as well as the hourly Hp60 and ap60 indices, collectively denoted as Hpo. This dataset is based on near real-time geomagnetic observatory data provided by 13 contributing observatories. It is derived and distributed by GFZ German Research Centre for Geosciences. When using the Hpo index, please cite this data publication as well as the accompanying publication Yamazaki et al. (submitted), which serves as documentation of the Hpo. The dataset is organised in yearly files, which, for the current year, are updated on a monthly basis. Typically, during the second week of a month, the data for the previous month is appended to the current year's file. The files are in ASCII files and start with header lines marked with # (hash). The Hpo index was developed within the H2020 project SWAMI (grant agreement No 776287) and is produced by Geomagnetic Observatory Niemegk, GFZ German Research Centre for Geosciences. It derives from the same 13 geomagnetic observatories that also contribute to the Kp index (Matzka et al., 2021, https://doi.org/10.5880/Kp.0001). They are listed as contributors to this data publication. With the introduction of the DOI for the Hpo index (Matzka et al, 2021, https://doi.org/10.5880/Hpo.0001), this DOI landing page and the associated HTTPS server linked to the DOI become the primary archive of Hpo (while the other established index distribution mechanisms at GFZ will be maintained in parallel). With the DOI, the dataset can grow with time, but a change of the data, once published, is not possible. If necessity arises in the future to correct already published values, then the corrected dataset will be published with a new DOI. Older DOIs and data sets will then still be available. For each DOI, an additional versioning mechanism will be available to document changes to the files such as header or format changes, which do not affect the integrity of the data. The DOI https://doi.org/10.5880/Hpo.0002 identifies the current version. A format description and a version history are provided in the data download folder.
    Description: Other
    Description: Version history: 2022-03-26 ---------- Publication of Version Hpo.0002. This version replaces version Hpo.0001. The Hpo, like the Kp nowcast, is based on the FMI algorithm (see Matzka et al., 2021, https://doi.org/10.1029/2020SW002641) and goes through a rescaling procedure to be more similar to the definitive Kp values. The data in version Hpo.0001 from 2018 onwards suffered from a slight error in this rescaling algorithm, causing for example somewhat too few Hpo 0 values and somewhat too many Hpo 0.333 values. This error was corrected for version Hpo.0002. The values from 1995 to 2017 are identical for both versions. 2021-04-26 ---------- Publication of Version Hpo.0001
    Keywords: Hpo ; Hpo index ; Hp30 ; ap30 ; Hp60 ; ap60 ; Kp ; Kp index ; ap index ; geomagnetism ; space weather ; space physics ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 GEOMAGNETIC INDICES 〉 KP INDEX ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 AURORAE ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 GEOMAGNETIC INDICES ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC FIELDS/MAGNETIC CURRENTS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC STORMS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 SOLAR WIND
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2024-06-20
    Description: Abstract
    Description: All datasets provided in the operational dataset (Heubeck et al., 2024) of the ICDP project BASE (ICDP 5069) consist of metadata, data and/or images. Here, a summary of explanations of the tables, data and images exported from the database of the project (mDIS BASE) are given and are complemented by additional information on data from measurements done in the laboratory prior to the sampling party. Finally, the sampling data from the first two sampling parties are added. Some basic definitions of identifiers used in ICDP, depths corrections and measurements are also introduced. The BASE (Barberton Archean Surface Environments) scientific drilling project focused on recovering unweathered continuous core through strata of the Paleoarchean Moodies Group (ca. 3.2 Ga), central Barberton Greenstone Belt (BGB), South Africa. They comprise some of the oldest well-preserved sedimentary strata on Earth, deposited within only a few million years in alluvial, fluvial, coastal-deltaic, tidal, and prodeltaic settings; they represent a very-high-resolution record of Paleoarchean surface conditions and processes. Moodies Group strata consist of polymict conglomerates, widespread quartzose, lithic and arkosic sandstones, siltstones, shales, and rare BIFs and jaspilites, interbedded with tuffs and several thin lavas. This report describes operations from preparations to the sampling workshop and complements the related scientific report. Eight inclined boreholes between 280 and 495 m length, drilled during November 2021 through July 2022, obtained a total of 2903 m of curated core of variable quality through steeply to subvertically dipping, in part overturned stratigraphic sections. All drilling objectives were reached. Boreholes encountered a variety of conglomerates, diverse and abundant, mostly tuffaceous sandstones, rhythmically laminated shale-siltstone and banded-iron formations, and several horizons of early-diagenetic sulfate concretions. Oxidative weathering reached far deeper than expected; fracturing was more intense, and BIFs and jaspilites were thicker than anticipated. Two km-long mine adits and a water tunnel, traversing four thick stratigraphic sections within the upper Moodies Group in the central BGB, were also sampled. All boreholes were logged by geophysical instruments. Core was processed (oriented, slabbed, photographed, described, and archived) in a large, publicly accessible hall in downtown Barberton. An exhibition provided background explanations for visitors and related the drilling objectives to the recently established Barberton-Makhonjwa Mountains World Heritage Site. A substantial education, outreach and publicity program addressed the information needs of the local population and of local and regional stakeholders.
    Keywords: Africa ; South Africa ; Barberton ; Early Life Ecology ; Greenstone Belt ; Moodies ; ocean and atmosphere ; oxygen ; ICDP ; International Continental Scientific Drilling Programme ; EARTH SCIENCE 〉 PALEOCLIMATE 〉 LAND RECORDS 〉 BOREHOLES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES ; Precambrian 〉 Archean
    Type: Dataset , Dataset
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  • 3
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    PANGAEA
    In:  Institute of Atmospheric Sciences and Climate of the Italian National Research Council, Bologna
    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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  • 4
    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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  • 5
    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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  • 6
    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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  • 7
    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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  • 8
    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
    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
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  • 10
    Publication Date: 2024-06-20
    Description: Multibeam bathymetry raw data was recorded in the North Atlantic during cruise M80/3 that took place between 2009-12-29 and 2010-02-01. The data was collected using the ship's own Kongsberg EM 120. This data is part of the DAM (German Marine Research Alliance) underway research data project. Sound velocity profiles (SVP) were applied on the data for calibration. SVP data are part of this dataset publication.
    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; ELEVATION; File content; LATITUDE; LONGITUDE; M80/3; M80/3_0_Underway-1; Meteor (1986); Multibeam Echosounder; Number of pings; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath bathymetry; Swath-mapping system Simrad EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 4719 data points
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