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  • 1
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    Unknown
    Oceanographic parameters for the sample stations of the cruise AT261 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in the surrounding and within different wind farms of the German Bight in April 2018. At every sampling station oceanographic parameters were measured directly on board with respective probes of a multimeter for pH, dissolved oxygen, temperature and conductivity. Additionally, the current associated weather parameters (temperature in air, wind speed, air pressure) were noted from the ship system.
    Keywords: ALTITUDE; AT261; Atair; Atair261; Atair261_10; Atair261_11; Atair261_13; Atair261_14; Atair261_15; Atair261_16; Atair261_17; Atair261_2; Atair261_20; Atair261_21; Atair261_22; Atair261_23; Atair261_24; Atair261_25; Atair261_26; Atair261_27; Atair261_29; Atair261_3; Atair261_30; Atair261_31; Atair261_32; Atair261_33; Atair261_34; Atair261_35; Atair261_36; Atair261_37; Atair261_38; Atair261_39; Atair261_4; Atair261_40; Atair261_41; Atair261_42; Atair261_43; Atair261_44; Atair261_45; Atair261_46; Atair261_47; Atair261_48; Atair261_49; Atair261_50; Atair261_51; Atair261_52; Atair261_53; Atair261_54; Atair261_55; Atair261_56; Atair261_57; Atair261_58; Atair261_59; Atair261_60; Atair261_61; Atair261_62; Atair261_63; Atair261_9; Conductivity; Date/Time of event; DEPTH, water; Elevation of event; Event label; German Bight; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; MULT; Multimeter; Multiple investigations; Oxygen, dissolved; pH; Pressure, atmospheric; Sample ID; Station_10_HELW3; Station_11_NOST1; Station_13_NOST3; Station_14_NOST4; Station_15_NOST5; Station_16_NOST6; Station_17_NOST7; Station_2_TI7; Station_20_AMWE2; Station_21_AMWE3; Station_22_AMWE4; Station_23_AMWE5; Station_24_AMWE6; Station_25_AMWE7; Station_26_AMWE8; Station_27_AMWE9; Station_29_DOLW1; Station_3_MEWI1; Station_30_DOLW2; Station_31_DOLW3; Station_32_BKRI1; Station_33_BKRI2; Station_34_BKRI3; Station_35_BKRI4; Station_36_BKRI5; Station_37_ALVE2; Station_38_ALVE3; Station_39_ALVE1; Station_4_MEWI3; Station_40_ALVE4; Station_41_DOLW5; Station_42_DOLW6; Station_43_GOWI2; Station_44_GOWI3; Station_45_GOWI5; Station_46_GOWI6; Station_47_GOWI7; Station_48_GOWI8; Station_49_GOWI9; Station_50_GOWI1; Station_51_GOWI4; Station_52_GOWI10; Station_53_GOWI11; Station_54_GOWI20; Station_55_GOWI21; Station_56_GOWI22; Station_57_GOWI23; Station_58_GOWI24; Station_59_GOWI25; Station_60_GOWI26; Station_61_GOWI27; Station_62_GOWI28; Station_63_GOWI29; Station_9_HELW2; Station label; Temperature, air; Temperature, water; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 581 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Seawater and sediment data from offshore wind farms in the German Bight collected during the cruise AT261 (2022)
    PANGAEA
    Details
    Publication Date: 2023-08-14
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in the surrounding and within different wind farms of the German Bight in April 2018.
    Keywords: Helmholtz-Zentrum Hereon; Hereon
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Continuous thermosalinograph oceanography along RV Sonne cruise SO280 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-26
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after 12 hours. While temperature is taken at the water inlet in about 3 m depth, salinity is estimated within the SMB from conductivity and interior temperature. Salinity was calibrated for SMB_A against discrete water samples (see additional attachment). No salinity calibration was performed for SMB_B and no temperature calibration was performed, neither for SMB_A nor SMB_B. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; GPF 20‐3_087H; LATITUDE; LONGITUDE; Measurement container; Quality flag, salinity; Quality flag, water temperature; Salinity; SALINO; Salinometer; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO280; SO280_0_Underway-3; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 191330 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    ADCP current measurements (38 kHz) during RV SONNE cruise SO280 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-26
    Description: Upper-ocean velocities along the cruise track of Sonne cruise SO280 were continuously collected by a vessel-mounted Teledyne RD Instruments 38 kHz Ocean Surveyor ADCP. The transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode with 32 m bins and a blanking distance of 16.0 m, while 50 bins were recorded using a pulse of 2.88 s. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Heading, pitch and roll data from the ship's gyro platforms and the navigation data were used by the data acquisition software VmDas internally to convert ADCP velocities into earth coordinates. Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (0.03° +/- 0.8820°) and scale factor (1.0025 +/- 0.0133) of the Ocean Surveyor signal. The average interval was set to 60 s.
    Keywords: Acoustic Doppler Current Profiling (ADCP); Calculated; Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; GPF 20‐3_087H; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; SO280; SO280_0_Underway-2; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 5395830 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    ADCP current measurements (75 kHz) during RV SONNE cruise SO280 (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-26
    Description: Upper-ocean velocities along the cruise track of Sonne cruise SO280 were continuously collected by a vessel-mounted Teledyne RD Instruments 75 kHz Ocean Surveyor ADCP. The transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode with 8 m bins and a blanking distance of 8.0 m, while 100 bins were recorded using a pulse of 1.44 s. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Heading, pitch and roll data from the ship's gyro platforms and the navigation data were used by the data acquisition software VmDas internally to convert ADCP velocities into earth coordinates. Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.85° +/- 0.8385°) and scale factor (1.0000 +/- 0.0131) of the Ocean Surveyor signal. The average interval was set to 60 s.
    Keywords: Acoustic Doppler Current Profiling (ADCP); Calculated; Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; GPF 20‐3_087H; LATITUDE; LONGITUDE; Pings, averaged to a double ensemble value; Quality flag, current velocity; SO280; SO280_0_Underway-2; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 13576330 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Seawater and sediment data from offshore wind farms in the German Bight collected during the cruise AT275 (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 06.03.2019 and 24.03.2019.
    Keywords: Helmholtz-Zentrum Hereon; Hereon
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Unknown
    Seawater and sediment data from offshore wind farms in the German Bight collected during the cruise AT275 (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 06.03.2019 and 24.03.2019.
    Keywords: ALTITUDE; AT275; AT275_Stat_S_097_HELW5; Atair; Atair275; Atair275_11; Atair275_12; Atair275_13; Atair275_14; Atair275_15; Atair275_16; Atair275_17; Atair275_18; Atair275_19; Atair275_2; Atair275_20; Atair275_21; Atair275_22; Atair275_23; Atair275_24; Atair275_25; Atair275_26; Atair275_27; Atair275_28; Atair275_29; Atair275_30; Atair275_31; Atair275_32; Atair275_33; Atair275_34; Atair275_35; Atair275_36; Atair275_39; Atair275_4; Atair275_40; Atair275_41; Atair275_42; Atair275_43; Atair275_44; Atair275_45; Atair275_46; Atair275_47; Atair275_48; Atair275_49; Atair275_5; Atair275_52; Atair275_53; Atair275_54; Atair275_55; Atair275_56; Atair275_57; Atair275_58; Atair275_6; Atair275_60; Atair275_61; Atair275_62; Atair275_64; Atair275_65; Atair275_67; Atair275_68; Atair275_69; Atair275_7; Atair275_70; Atair275_71; Atair275_72; Atair275_73; Atair275_75; Atair275_78; Atair275_79; Atair275_8; Atair275_80; Atair275_81; Atair275_82; Atair275_83; Atair275_84; Atair275_85; Atair275_86; Atair275_87; Atair275_88; Atair275_89; Atair275_9; Atair275_90; Atair275_91; Atair275_92; Atair275_93; Atair275_94; Atair275_95; Atair275_96; Atair275_97; Conductivity; Date/Time of event; DEPTH, water; Elevation of event; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; MULT; Multimeter; Multiple investigations; North Sea; Oxygen, dissolved; pH; Pressure, atmospheric; S_002_AMWE4; S_004_AMWE3; S_005_AMWE7; S_006_ANWE8; S_007_AMWE5; S_008_AMWE6; S_009_AMWE15; S_011_AMWE19; S_012_AMWE20; S_013_AMWE21; S_014_AMWE22; S_015_NOST4_WH; S_016_HELW1_WH; S_017_NOST4; S_018_NOST1; S_019_NOST5; S_020_NOST6; S_021_NOST7; S_022_NOST3; S_023_NOST42; S_024_NOST43; S_025_NOST35; S_026_TI7; S_027_MEWI1; S_028_MEWI3; S_029_MEWI6; S_030_TI13; S_031_MEWI7; S_032_MEWI36; S_033_MEWI37; S_034_MEWI38; S_035_MEWI40; S_036_MEWI41; S_039_DOLW1; S_040_ALVE5; S_041_ALVE4; S_042_ALVE2; S_043_ALVE3; S_044_ALVE1; S_045_BKRI5; S_046_BKRI4; S_047_BKRI3; S_048_BKRI2; S_049_BKRI1; S_052_GOWI10; S_053_GOWI6; S_054_GOWI7; S_055_GOWI9; S_056_GOWI11; S_057_GOWI4; S_058_GOWI3; S_060_GOWI2; S_061_GOWI1; S_062_GOWI8; S_064_GOWI54; S_065_GOWI59; S_067_GOWI26; S_068_GOWI24; S_069_GOWI21; S_070_GOWI25; S_071_GOWI20; S_072_GOWI22; S_073_GOWI23; S_075_GOWI29; S_078_GOWI55; S_079_GOWI57; S_080_DOLW7; S_081_VEJA02; S_082_VEJA03; S_083_VEJA04; S_084_VEJA05; S_085_VEJA06; S_086_VEJA08; S_087_VEJA09; S_088_VEJA10; S_089_VEJA11; S_090_VEJA12; S_091_DOLW8; S_092_DOLW10; S_093_DOLW9; S_094_VEJA16; S_095_HELW1; S_096_HELW4; Sample ID; Station label; Temperature, air; Temperature, water; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    Continuous thermosalinograph oceanography along RV SONNE cruise SO276 (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-16
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after 12 hours. However, on this cruise only SMB_B was working properly. While temperature is taken at the water inlet in about 3 m depth, salinity is estimated within the SMB from conductivity and interior temperature. No calibration was performed, neither for temperature nor for salinity. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; Measurement container; MerMet 17-6; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO276; SO276_0_Underway-3; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 277014 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
    facet.materialart.
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    Continuous thermosalinograph oceanography along RV Sonne cruise SO276 (2021)
    PANGAEA
    Details
    Publication Date: 2024-02-16
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after 12 hours. However, on this cruise only SMB_B was working properly. While temperature is taken at the water inlet in about 3 m depth, salinity is estimated within the SMB from conductivity and interior temperature. No calibration was performed, neither for temperature nor for salinity. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; Measurement container; MerMet 17-6; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO276; SO276_0_Underway-3; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 277014 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Habitat variability and faunal zonation at the Ægir Ridge, a canyon-like structure in the deep Norwegian Sea (2022)
    PeerJ
    Details
    Publication Date: 2024-02-07
    Description: The Ægir Ridge System (ARS) is an ancient extinct spreading axis in the Nordic seas extending from the upper slope east of Iceland (∼550 m depth), as part of its Exclusive Economic Zone (EEZ), to a depth of ∼3,800 m in the Norwegian basin. Geomorphologically a rift valley, the ARS has a canyon-like structure that may promote increased diversity and faunal density. The main objective of this study was to characterize benthic habitats and related macro- and megabenthic communities along the ARS, and the influence of water mass variables and depth on them. During the IceAGE3 expedition (Icelandic marine Animals: Genetics and Ecology) on RV Sonne in June 2020, benthic communities of the ARS were surveyed by means of a remotely-operated vehicle (ROV) and epibenthic sledge (EBS). For this purpose, two working areas were selected, including abyssal stations in the northeast and bathyal stations in the southwest of the ARS. Video and still images of the seabed were usedtoqualitatively describebenthic habitats based on the presence of habitat-forming taxa and the physical environment. Patterns of diversity and community composition of the soft-sediment macrofauna, retrieved from the EBS, were analyzed in a semiquantitative manner. These biological data were complemented by producing high-resolution bathymetric maps using the vessel’s multi-beam echosounder system. As suspected, we were able to identify differences in species composition and number of macro- and megafaunal communities associated with a depth gradient. A biological canyon effect became evident in dense aggregates of megafaunal filter feeders and elevated macrofaunal densities. Analysis of videos and still images from the ROV transects also led to the discovery of a number ofVulnerable Marine Ecosystems (VMEs) dominated by sponges and soft corals characteristic of the Arctic region. Directions for future research encompass a more detailed, quantitative study of the megafauna and more coherent sampling over the entire depth range in order to fully capture the diversity of the habitats and biota of the region. The presence of sensitive biogenic habitats, alongside seemingly high biodiversity and naturalness are supportive of ongoing considerations of designating part of the ARS as an “Ecologically and Biologically Significant Area” (EBSA).
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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