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  • Data  (37)
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  • 1
    Publication Date: 2021-08-19
    Description: Abstract
    Description: We present a compilation and analysis of 1099 Holocene relative shore-level (RSL) indicators including 867 relative sea-level data points and 232 data points from the Ancylus Lake and the following transitional phase from 10.7 to 8.5 ka BP located around the Baltic Sea. The spatial distribution covers the Baltic Sea and near-coastal areas fairly well, but some gaps remain mainly in Sweden. RSL data follow the standardized HOLSEA format and, thus, are ready for spatially comprehensive applications in, e.g., glacial isostatic adjustment (GIA) modelling. Sampling method The data set is a compilation of rather different samples from geological, geomorphological and archaeological studies. Most of the data was already published in different formats. In this compilation we homogenized the meta information of the available information according to the HOLSEA database format, https://www.holsea.org/archive-your-data, which is a modification of the recommendations given in Hijma et al. (2015). In addition to the reformatting, the majority of samples with radiocarbon dating were recalibrated with oxcal-software using the calib13 and marine13 curves. Furthermore, all sample descriptions were critically checked for consistency in positioning, levelling and indicative meaning by experts of the respective geographic region see Supplement 2. Analytical method In principle, it is a compilation, recalibration and revision of already published data. Data Processing Data of individual compilations were revised and imported into a relational database system. Therein, the data was transferred into the HOLSEA format by specified rules. By this procedure, a homogeneous categorisation was achieved without losing the original data. Also this is stored in the relational database system allowing for later updates of the transfer procedure or a recalibration of the data. Description of data table HOLSEA-baltic-yymmdd.xlsx The workbook in excel format contains 5 sheets, see https://www.holsea.org/archive-your-data: · Long-form, containing the complete information available for each sample · Short-form, a subset of attributes of the Long-form sheet · Radiocarbon, containing the radiocarbon dating information of the respective samples · U-series, a corresponding table containing the respective information of Uranium dating · References, a complete reference list of the primary publications in which the individual data sampling is described. All online sources for the compilation are included in the metadata. A full list of source references is provided in the data description file.
    Keywords: Baltic Sea ; sea-level indicator ; relative sea level ; HOLSEA ; glacial isostatic adjustment ; ice history model ; mapping function ; postgreSQL ; compound material 〉 sedimentary material 〉 sediment ; EARTH SCIENCE 〉 OCEANS 〉 COASTAL PROCESSES 〉 SHORELINES ; environment 〉 natural environment 〉 coastal environment ; In Situ Land-based Platforms 〉 FIELD SURVEYS ; In Situ/Laboratory Instruments 〉 Corers 〉 CORING DEVICES ; Phanerozoic 〉 Cenozoic 〉 Quaternary 〉 Holocene
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2023-11-14
    Description: The data set, composed of raw vessel mouted ADCP and DGPS data obtained from five cruises on board of the Research Vessel "Mya II", crosses perpendicularly the Lister Deep inlet in two positions (outer and inner part), and three main tidal channels, named as Lister Ley, Højer Dyb, Rømø Dyb, in the Sylt-Rømø Bight. The cruises were conducted between May 22 and 30, 2018. Observational work consists in measurements which the vessel followed the same track multiple times during a determinate time. In addition, a Differential GPS worked together with the ADCP, providing water surface level data with high precision. The data was collected using a Teledyne RDI WorkHorse 600 kHz with an offset of 1.3 m related to the water surface. The rate sample was 2 s, with a bin size of 0.5 m and a blank distance of 0.5. DGPS collected horizontal and vertical position information in a sample rate of 1 second and a precision of 2 to 3 cm, using the WGS 84 geodesic system reference.
    Keywords: German Bight Wadden Sea; Sylt-Rømø-Bight
    Type: Dataset
    Format: application/zip, 452.9 MBytes
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  • 3
    Publication Date: 2023-11-14
    Keywords: benthic habitats; Cliona sp.; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; Grab; GRAB; Helgoland; Latitude of event; Lithology/composition/facies; Longitude of event; MYA2019/06; MYA2019/06_1; MYA2019/06_10; MYA2019/06_11; MYA2019/06_12; MYA2019/06_13; MYA2019/06_14; MYA2019/06_15; MYA2019/06_16; MYA2019/06_17; MYA2019/06_18; MYA2019/06_19; MYA2019/06_2; MYA2019/06_20; MYA2019/06_21; MYA2019/06_22; MYA2019/06_3; MYA2019/06_4; MYA2019/06_5; MYA2019/06_6; MYA2019/06_7; MYA2019/06_8; MYA2019/06_9; Mya II; North Sea; off Helgoland, North Sea; Ostrea edulis; Ostrea edulis, shell; seafloor properties
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 4
    Publication Date: 2023-11-14
    Keywords: benthic habitats; Cliona sp.; DATE/TIME; DEPTH, water; Drift Video; DRVID; Event label; Helgoland; LATITUDE; Lithology/composition/facies; LONGITUDE; MYA2019/06; MYA2019/06_10a; MYA2019/06_10b; MYA2019/06_11a; MYA2019/06_11b; MYA2019/06_11c; MYA2019/06_12a; MYA2019/06_12b; MYA2019/06_13a; MYA2019/06_13b; MYA2019/06_14a; MYA2019/06_14b; MYA2019/06_4a; MYA2019/06_4b; MYA2019/06_5a; MYA2019/06_5b; MYA2019/06_6a; MYA2019/06_6b; MYA2019/06_7a; MYA2019/06_7b; MYA2019/06_8a; MYA2019/06_8b; MYA2019/06_9a; MYA2019/06_9b; MYA2019/06_HD_8a; Mya II; North Sea; off Helgoland, North Sea; ORDINAL NUMBER; Ostrea edulis; seafloor properties; Video identification
    Type: Dataset
    Format: text/tab-separated-values, 35098 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Goslin, Jérôme; Gałka, Mariusz; Sander, Lasse; Mokenbusch, Johannes; Thibault, Nicolas; Clemmensen, Lars B (2019): Decadal variability of north-eastern Atlantic storminess at the mid-Holocene: New inferences from a record of wind-blown sand, western Denmark. Global and Planetary Change, 180, 16-32, https://doi.org/10.1016/j.gloplacha.2019.05.010
    Publication Date: 2023-11-14
    Description: Disentangling the external and internal forcing responsible for the variability of the Earth's climate and associated extreme events over the Holocene is crucial for producing reliable scenarios of adaptation to the effects of ongoing climate change. At mid-latitudes, significant relationships between westerly storminess, solar activity and internal atmospheric and oceanic modes of variability have been repeatedly evidenced to exist over millennial and centennial time scales. However, at shorter (decadal) scale, it is still challenging to establish clear control links between the forcing mechanisms and the spatio-temporal variability of past extra-tropical storms. This probably owes to the existence of complex multi-scale relationships and feedback loops, as well as to the difficulty of producing proxy-records of sufficiently high-resolution and wide spatial significance. Here we present a reconstruction of westerly storminess in western Denmark between 4840 and 2300 yrs. cal. B·P. Past-storminess is retrieved from an organic-rich sedimentary succession by combining markers of aeolian sand influx, μ-XRF geochemistry and plant macrofossils. Particular focus is paid to the c. 4840–4350 yrs. cal. B·P. period for which our record is characterized by a pluri-annual resolution. We evidence concurrent pluri-decadal shifts in storminess and humidity regime at our site that we interpret as relocations of the mean westerly storm-track over the North-Atlantic. The signal is dominated by ≈ 90, ≈ 50–80 and ≈ 35-yr periods, evoking possible links with solar activity, the North-Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO) and the Atlantic Meridional Overturning Circulation (AMOC) modes of variability, respectively. The ≈ 35-yr periodicity found in our record is especially strong and stationary, suggesting that storminess could have been closely linked with the AMOC over the study period. Our records of storminess indeed show some great similarities with a record of deep overflow of a branch of the AMOC. Opposite to some model outputs, the strength of the AMOC seems to have often co-varied with storminess at pluri-decadal scales over the study period. We also find periods of high storminess activity to be significantly correlated with solar minima and relative pluri-decadal lows in the NAO. We suggest that small lowering in the strength of the NAO in an otherwise positive NAO context may have caused southward relocations of the mean westerly storm-track from subpolar latitudes to northern Europe. This invites to reconsider the importance given to using the NAO as a binary index. Finally, an attempt is made to explore the temporal lead-lag relationships between storminess and different potential forcing agents such as the Total Solar Irradiance, the NAO and the AMOC. Unfortunately, the insufficient chronological precision of the proxy-records available for the TSI, the NAO and the AMOC over the study period prevents us from deriving any robust interpretations regarding potential teleconnections at a decadal-scale between past north-Atlantic westerly storminess activity, solar forcing, the NAO and north-Atlantic surface and deep oceanic circulation.
    Keywords: Aeolian, flux, size fraction 〉 0.063 mm; Aeolian, flux, size fraction 〉 0.125 mm; AGE; ASI; DEPTH, sediment/rock; F-02; Filso; Filsø, western Denmark; Holocene; Section; SEDCO; Sediment corer; Size fraction 〉 0.063 mm, sand; Size fraction 〉 0.125 mm; storminess
    Type: Dataset
    Format: text/tab-separated-values, 1075 data points
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  • 6
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-25
    Description: Raw data acquired by a thermosalinograph (SBE21, SeaBird GmbH) on board RV HEINCKE were processed to receive a calibrated and validated data set of seawater temperature and salinity. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The SBE21 was equipped with an additional external temperature sensor (SBE38, Sea-Bird GmbH). Raw data are converted to temperature and conductivity values using the calibration coefficients from the calibration before deployment. However, data can only be finally processed after replacement and renewed calibration because correction values for the sensor drift can only be obtained by the post cruise calibration. The thermosalinograph on board RV HEINCKE is exchanged about once a year and calibration procedures are conducted after every exchange. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78 using the obtained internal temperature and conductivity data. Processed data are provided as 1min means of salinity and seawater temperature aligned with position data taken from master track of the respective cruise. Quality flags are appended according to the SeaDataNet Data Quality Control Procedures (version from May 2010).
    Keywords: AWI_PhyOce; Calculation according to Practical Salinity Scale PSS-78, Lewis and Perkin (1981); Conductivity; DAM MPA Geo 2; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; HE592; HE592_0_Underway-3; Heincke; LATITUDE; LONGITUDE; North Sea; Physical Oceanography @ AWI; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, internal; thermosalinograph; Thermosalinograph; Thermosalinograph (TSG), Sea-Bird, SBE 21 SEACAT; TSG
    Type: Dataset
    Format: text/tab-separated-values, 41082 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-12
    Description: Raw data acquired by an SBE21 thermosalinograph and an auxiliary SBE38 temperature sensor (Sea-Bird Scientific, USA) installed in an underway seawater flow-through system on board RV Heincke were processed to yield a calibrated and validated data set of seawater temperature and salinity along the cruise track. The seawater inlet is located at a depth of 2 m. The raw hexadecimal data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) at a resolution of 1 s, and converted to temperature and conductivity using the pre-deployment factory calibration coefficients. The converted data were averaged to 1 min values, outliers were removed, and sensor drift was corrected using coefficients obtained from a post-season calibration performed at Sea-Bird at the end of the measurement season. Salinity was calculated from internal temperature, conductivity and pressure according to the PSS-78 Practical Salinity Scale. Processed data are provided as 1 min means of seawater temperature, conductivity and salinity, aligned with position data taken from the master track. Quality flags are appended according to the SeaDataNet Data Quality Control Procedures (version from May 2010). More details are described in the attached processing report.
    Keywords: AWI_PhyOce; Calculated from internal temperature and conductivity; Conductivity; DAM MPA Geo 1; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; HE588; HE588_0_Underway-6; Heincke; LATITUDE; LONGITUDE; North Sea; Physical Oceanography @ AWI; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, internal; thermosalinograph; Thermosalinograph; Thermosalinograph (TSG), Sea-Bird, SBE 21 SEACAT; TSG
    Type: Dataset
    Format: text/tab-separated-values, 87018 data points
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  • 8
    Publication Date: 2024-04-20
    Description: A recently encountered fossil oyster bed (Ostrea edulis) located in the sublittoral zone offshore the island of Helgoland (German Bight, Europe) was investigated. During a ship campaign in June 2019 onboard RV „Mya II“, the local extent and surface properties of the oyster bed were determined by submersible underwater drift video and grab sampling. The aim of this study was to facilitate the first description of a sublittoral oyster bed in the area and to understand its past ecological state and the reasons of its demise. Ostera edulis and associated habitats disappeared from the North Sea at the beginning of the last century and are a current focal point of restoration initiatives across Europe. Oyster shells were collected from the grab samples, cataloged and systematically analyzed. The weight of the valves was determined on a laboratory scale in grams with a precision of two decimals. The length (mm), width (mm), and degree of infestation (%) by the boring sponge Cliona sp. were digitally determined for each valve on the base of photographic images in the open-source software ImageJ (https://imagej.nih.gov/ij/).
    Keywords: benthic habitats; Cliona sp.; Helgoland; North Sea; Ostrea edulis; seafloor properties
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 9
    Publication Date: 2024-04-20
    Keywords: Grab; GRAB; Image; Infestation; Infestation area, inner site; Infestation area, outer site; MYA2019/06; MYA2019/06_13; Mya II; off Helgoland, North Sea; Ostrea edulis, valve; Ostrea edulis, valve, area; Ostrea edulis, valve, length; Ostrea edulis, valve, mass; Ostrea edulis, valve, width; Specimen identification
    Type: Dataset
    Format: text/tab-separated-values, 363 data points
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  • 10
    Publication Date: 2024-04-20
    Keywords: Grab; GRAB; Image; Infestation; Infestation area, inner site; Infestation area, outer site; MYA2019/06; MYA2019/06_17; Mya II; off Helgoland, North Sea; Ostrea edulis, valve; Ostrea edulis, valve, area; Ostrea edulis, valve, length; Ostrea edulis, valve, mass; Ostrea edulis, valve, width; Specimen identification
    Type: Dataset
    Format: text/tab-separated-values, 264 data points
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