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  • 101
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 102
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 103
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 104
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 105
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 106
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 107
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 108
    Publication Date: 2024-02-02
    Description: Multibeam bathymetry raw data using the ship's own Atlas Hydrographic Hydrosweep DS multibeam echo sounder was not continuously recorded during RV METEOR cruise M12/1. Data was recorded on 24 days between 1990-03-14 and 1990-04-13. This dataset contains a survey in the North and South Atlantic Ocean, covering mostly deep-water areas. The approximate average depth of the entire dataset is around 4200m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. Data analysis of the multibeam raw data could not reveal whether the SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good to moderate since the gridded hillshade data showed relatively few obstacles. All files have been renamed from the suffix *.0 (stored at BSH) to *.dux. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; M12/1; M12/1_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-mapping system Atlas Hydrosweep DS-1
    Type: Dataset
    Format: text/tab-separated-values, 1632 data points
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  • 109
    Publication Date: 2024-01-25
    Description: Amino acids derivatization and analysis: Sediment slurries were centrifuged to separate the sediments from the medium and the sediments were freeze-dried and homogenized. 50 mg of samples spiked with the internal reference standard norleucine were decalcified and acid hydrolyzed (6M, 110℃) for 15 h. The hydrolysate was centrifuged to remove the sediments and subsequently defatted with hexane/ DCM mixture (V/V, 2:1) three times. The purification and derivatization of amino acids were performed by following the protocols described by Takano et al.53 and Chikaraishi et al.54, respectively. In brief, the hydrolysates were evaporated under N2 gas to dryness and purified using Dowex 50WX8 200 400 mesh cation exchange resin to eliminate the matrix effects. The purified amino acids were then isopropylated with a mixture of isopropanol and acetyl chloride (4/1, v/v) at 100 ℃ for 2 h. The solution was then evaporated to dryness and followed 3 times with DCM addition and evaporation to remove any remaining reagent. The AA isopropyl esters were then acylated using a mixture of pivaloyl chloride and DCM (1/1, v/v) at 100 ℃ for 2 h to obtain pivaloyl-isopropyl ester (Pv/AA/iPr). The Pv/AA/iPr solution was then evaporated to dryness and followed 3 times DCM addition and evaporation to remove any remaining reagent. Liquid-liquid extraction was performed by using MiliQ water and a hexane/DCM mixture (2/1, v/v). The Pv/AA/iPr were stored frozen (-20℃) and dissolved in ethyl acetate before analysis.
    Keywords: Amino acid, carbon; Amino acid, δ13C; amino acids; Center for Marine Environmental Sciences; ClusterOceanFloor; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIC; HE483; HE483/25-2; Heincke; lipidomics; MARUM; MUC; MultiCorer; North Sea; Priming effect; RNA-SIP; Sample ID; Sample mass; Sample type; Secondary production; see description in data abstract; stable isotope probing; Substrate type; The Ocean Floor - Earth's Uncharted Interface; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 3393 data points
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  • 110
    Publication Date: 2024-01-25
    Description: Incubation time was controlled based on the development of δ13C values of CO2 in the headspace. δ13C of CO2 was measured by Thermo Finnigan Trace GC coupled to a Thermo Finnigan Delta plus XP isotope ratio mass spectrometer (IRMS). Deviations of triplicate isotopic measurement of δ13C of CO2 were between ± 1‰ and ± 1,000‰ (for CO2 with label uptake of 〉10,000‰). Slurries were harvested at five time points for detailed analyses.
    Keywords: amino acids; Calculated; Center for Marine Environmental Sciences; ClusterOceanFloor; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIC; HE483; HE483/25-2; Heincke; lipidomics; MARUM; MUC; MultiCorer; North Sea; Priming effect; Replicates; RNA-SIP; Secondary production; stable isotope probing; Standard error; Substrate type; The Ocean Floor - Earth's Uncharted Interface; Thermo Trace GC coupled to ThermoFinnigan DELTAplus XP (GC-C-IRMS); Time in days; δ13C, carbon dioxide; δ13C, carbon dioxide, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 720 data points
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  • 111
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 112
    Publication Date: 2024-01-31
    Keywords: According to Anderson et al. (2021); Bulk organic geochemistry; Clumped isotope thermometry; Instrument; Laboratory code/label; palynology; pedogenic carbonate; Plant wax; Run Date/Time; Run Number; Sample ID; stable isotope geochemistry; Standard deviation; Temperature, technical; XRD; Δ47; Δ48; Δ49; δ13C; δ18O; δ45; δ46; δ47; δ48; δ49
    Type: Dataset
    Format: text/tab-separated-values, 61571 data points
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  • 113
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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  • 114
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 115
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-20
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE630 were processed to receive a validated master track which can be used as reference of further expedition data. During HE630 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; EduObs2021; HE630; HE630-track; Heincke
    Type: Dataset
    Format: application/zip, 29.1 MBytes
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  • 116
    Publication Date: 2024-02-20
    Description: A spatial database was created in the form of a polygon shape file (.shp) contains data on the occurrence of karst and the lithological type of karst for each of the 1:100,000 scale lithological polygons in Slovenia. As a spatial data source for the surface lithology a vector map of rock types in Slovenia was used (Zemljevid tipov kamnin 2012). This data source was based on the lithostratigraphic map of Slovenia (Litostratigrafska karta Slovenije 2011), which was primarily based on 1:25,000 vectorized geological maps of Slovenia. The data on surface lithology was prepared at a scale of 1:100,000. The spatial dataset (shp) of karst in Slovenia by lithological types consists of 12,734 polygons. The attribute Karst_EN contains data on types in English and the attribute Karst_SI contains data on karst types in Slovenian. The spatial dataset (shp) of the distribution of karst in Slovenia contains 1 polygon, which provides information on the spatial extent of karst in Slovenia.
    Keywords: Binary Object; Binary Object (File Size); Classification; File content; Geomorphology; GIS; Karst; Lithology; Slovenia
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 117
    Publication Date: 2024-02-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 118
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 216000 data points
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  • 119
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 30428 data points
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  • 120
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29847 data points
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  • 121
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28103 data points
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  • 122
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28491 data points
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  • 123
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29036 data points
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  • 124
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 785083 data points
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  • 125
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259040 data points
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  • 126
    Publication Date: 2024-02-21
    Description: A synoptic observational data set of Tropical Instability Wave (TIW) mixing events and associated heat and momentum fluxes as well as oceanic and atmospheric background parameters is provided. The data set focuses on the vertical distribution of upper-ocean turbulence during 12 elevated TIW events observed in tropical Atlantic at the equator at 23°W than occurred between 2014 and 2019. TIW events were selected based on a peak to peak meridional velocity magnitude criterium of larger than 0.4 m/s having time periods between 18 and 50 days and the availability of ocean turbulence data time series. A TIW composite of the 12 events was determined by scaling the time axis of northward and southward TIW phases of individual waves to the average wave period. The dataset includes time series (daily means) of turbulent dissipation rates (chi-pot measurements, https://doi.org/10.1029/2021GL097345), upper-ocean zonal and meridional currents from moored acoustic Doppler current profilers, upper-ocean temperature and salinity profile time series, 4-meter wind speeds and relative humidity, shortwave radiation, longwave radiation, sensible, latent and net surface heat fluxes from ePIRATA (https://doi.org/10.1175/JCLI-D-16-0816.1). These parameters are available for the composite event as well as for each of the 12 individual TIW events. The data set is provided for evaluating vertical mixing schemes of Earth system models and general ocean circulation models.
    Keywords: air-sea interaction; Description; Equatorial Atlantic; equatorial circulation; netCDF file; netCDF file (File Size); Stratification; Tropical Instability Waves; Turbulent dissipation
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 127
    Publication Date: 2024-02-21
    Description: A synoptic data set of near-inertial wave (NIW) mixing events and associated heat and momentum fluxes as well as oceanic background parameters is provided. The data set focuses on the vertical distribution of upper-ocean turbulence of 20 NIW events observed during 14 research cruises to the eastern tropical North Atlantic (ETNA) between 2006 and 2019. These 20 NIW events have been detected from ship ADCP records, based on velocities from the topmost usable bin. In order to be detectable, NIWs needed to exceed a velocity amplitude threshold of about 0.1 to 0.2 m/s during an observation time of at least 0.5 to 1 inertial periods. The data set includes (1) an average profile of turbulent dissipation rate of the detectable ETNA NIW events, plus data of the 67 local ship stations which contributed turbulent microstructure profiles to the average; (2) one file for each detectable NIW event (20 in total), containing current velocity profiles, and derived variables like vertical shear or mixed layer depth; (3) one file for each research cruise with at least one detected NIW event (14 research cruises in total), which contain timeseries for the entire time coverage inside ETNA, for the topmost current velocity as for ship based data related to surface heat and momentum fluxes. The data set is provided for evaluating vertical mixing schemes of NextGEMS (Next Generation Earth Modelling Systems) and other Earth system models.
    Keywords: Description; microstructure; near-inertial waves; netCDF file; tropical Atlantic; Turbulent dissipation; turbulent fluxes
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 128
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27060 data points
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  • 129
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 130
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259200 data points
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  • 131
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 192027 data points
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  • 132
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 212522 data points
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  • 133
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267615 data points
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  • 134
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819071 data points
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  • 135
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 777246 data points
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  • 136
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 811380 data points
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  • 137
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847912 data points
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  • 138
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267442 data points
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  • 139
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 31975 data points
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  • 140
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090231, WRMC No. 4006/86006; Pyranometer, Kipp & Zonen, CMP22, SN 090101, WRMC No. 4007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090145, WRMC No. 7001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 758888 data points
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  • 141
    Publication Date: 2024-02-20
    Description: Two species of clams, Mya arenaria (1) and Mya truncata (2), were hand collected from Métis-sur-Mer, Québec, Canada (48° 40' 4.6092" N, 68° 1' 5.9484" W) and by SCUBA diving (~ 10 m) at Godbout, Québec, Canada (49° 19' 25.626" N, 67° 35' 17.034" W) respectively. The clams were brought to the wet labs of the Maurice-Lamontagne Institute in Mont-Joli, Québec for acclimatization to experimental conditions. A clams' ability (1) or inability (0) to bury itself into the substrate (sand) was observed visually to control for it's possible relationship to clam performance variability, as well as their common garden tank (pre.acclim) to control for possible tank variability. After 〉 1 month in this pre-acclimatization phase, during the months of november and december 2020, clams were measured for morophometrics (length, width, and height) with a vernier caliper to control for the relationship between size and clam physiology, and transferred to the experimental system and subjected to a combination of two stressors: one of seven levels of heatwave (2, 7, 12, 17, 22, 27, or 32 °C) crossed with one of two levels of harvesting (with, without). The true temperature was recorded (truetemp) with HOBO 8K pendant data loggers to measure the variation in real temperature experienced by the clams in each tank. Four tank replicates were used for each of the fourteen (7 x 2) experimental treatments to account for possible tank effects. In each of these tanks (1-4), eight individuals of each species were placed together to increase replication. At the end of the experimental period, mortality was assessed by prodding clams in each tank for each species (mya_spp_heatwave_mortality_data) as a measure of response to the stressors. In surviving individuals, three tissues -- mantle (m), gills (g) and posterior adductor muscle (a) were dissected from each individual to asses inter organ differences and the tissues were flash freezed for metabolomics analysis. A targeted metabolomics analysis was run over the months of March to May 2021 at the Iso-BioKem laboratories in Rimouski, Québec, Canada to quantify 48 metabolites with an Agilent 1260 Infinity II high performance liquid chromatographer (mya_spp_heatwave_metabolomics_data) as a measure of response to the stressors.
    Keywords: Binary Object; Binary Object (File Size); bivalves; Climate change; Conservation; DIVER; File content; fisheries; global change; HAND; Laboratory experiment; metabolomics; molluscs; physiology; Quebec_DFO_1; Quebec_DFO_2; Quebec_DFO_3; Quebec_DFO_4; Sampling by diver; Sampling by hand; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 142
    Publication Date: 2024-02-20
    Description: Two species of clams, Mya arenaria (1) and Mya truncata (2), were hand collected from Métis-sur-Mer, Québec, Canada (48° 40' 4.6092" N, 68° 1' 5.9484" W) and by SCUBA diving (~ 10 m) at Godbout, Québec, Canada (49° 19' 25.626" N, 67° 35' 17.034" W) respectively. The clams were brought to the wet labs of the Maurice-Lamontagne Institute in Mont-Joli, Québec for acclimatization to experimental conditions. A clams' ability (1) or inability (0) to bury itself into the substrate (sand) was observed visually to control for it's possible relationship to clam performance variability, as well as their common garden tank (pre.acclim) to control for possible tank variability. After 〉 1 month in this pre-acclimatization phase, during the months of november and december 2020, clams were measured for morophometrics (length, width, and height) with a vernier caliper to control for the relationship between size and clam physiology, and transferred to the experimental system and subjected to a combination of two stressors: one of seven levels of heatwave (2, 7, 12, 17, 22, 27, or 32 °C) crossed with one of two levels of harvesting (with, without). The true temperature was recorded (truetemp) with HOBO 8K pendant data loggers to measure the variation in real temperature experienced by the clams in each tank. Four tank replicates were used for each of the fourteen (7 x 2) experimental treatments to account for possible tank effects. In each of these tanks (1-4), eight individuals of each species were placed together to increase replication. At the end of the experimental period, mortality was assessed by prodding clams in each tank for each species (mya_spp_heatwave_mortality_data) as a measure of response to the stressors. In surviving individuals, three tissues -- mantle (m), gills (g) and posterior adductor muscle (a) were dissected from each individual to asses inter organ differences and the tissues were flash freezed for metabolomics analysis. A targeted metabolomics analysis was run over the months of March to May 2021 at the Iso-BioKem laboratories in Rimouski, Québec, Canada to quantify 48 metabolites with an Agilent 1260 Infinity II high performance liquid chromatographer (mya_spp_heatwave_metabolomics_data) as a measure of response to the stressors.
    Keywords: bivalves; Climate change; Conservation; DIVER; fisheries; global change; Group; HAND; Identification; Laboratory experiment; metabolomics; molluscs; Mortality; ORDINAL NUMBER; physiology; Quebec_DFO_1; Quebec_DFO_2; Quebec_DFO_3; Quebec_DFO_4; Replicate; Sampling by diver; Sampling by hand; Species, unique identification; Temperature, technical; Treatment; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 6720 data points
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  • 143
    Publication Date: 2024-02-23
    Description: Data was collected in a project investigating the importance of prokaryotic maintenance respiration in the marine environment. Prokaryotic respiration, growth and abundance was measured at multiple stations encompassing three sites along the Baltic Sea gradient and North Sea. Salinity covered 3 to 30. Temperature, total dissolved phosphorus and nitrogen were also measured. Measurements were done during the late summer in August and September 2017. Data from the northern most site was collected 2015 with the same methods. Duplicate Niskin bottle samples were taken from discrete depths in surface waters covering up to 70 m depth depending on site. Prokaryotic respiration was measured in 1.2 µm pre-filtered samples using oxygen optode. Prokaryotic growth was measured by the tritiated thymidine incorporation technique in pre-filtered samples. Prokaryotic abundance was measured by acridine orange stain and direct epi-fluorescence microscopy applying image analysis. Cell-specific respiration and growth rates were calculated for evaluating influence of prokaryotic maintenance respiration. The prokaryotic growth efficiency was also estimated. Results are reported in a scientific article in Frontiers in marine Science (doi:10.3389/fmars.2023.1070070).
    Keywords: Area/locality; B1; Bacteria; Baltic Sea; Bottle, Niskin; Calculated; Carbon, organic, dissolved; Carbon per cell; Cocoa; Confidence interval; Cook's distance; CTD probe; DATE/TIME; DEPTH, water; Epifluorescence microscopy after acridine orange staining; Event label; Flag; GF1; GF2; GF3; GF4; GF5; growth; Identification; KA1; KA2; KA3; KA4; Kalmar_KA1; Kalmar_KA2; Kalmar_KA3; Kalmar_KA4; Kalmar_SB; Kalmar_SS; Kristineberg_GF1; Kristineberg_GF2; Kristineberg_GF3; Kristineberg_GF4; Kristineberg_GF5; Latitude of event; Longitude of event; maintenance; MAIRE1; MAIRE2; N11; N14; N26; N27; N28; N29; N30; N31; N6; NB8; NIS; Nitrogen, total dissolved; North Sea; nutrients; Oere_B1; Oere_N11; Oere_N14; Oere_N26; Oere_N27; Oere_N28; Oere_N29; Oere_N30; Oere_N31; Oere_N6; Oere_NB8; OPTODE; Oxygen optode; Phosphorus, total dissolved; Prokaryotes; Prokaryotes, biomass as carbon; Prokaryotes, biomass as carbon, standard deviation; Prokaryotes, growth efficiency; Prokaryotic community growth rate, in mass carbon; Prokaryotic community growth rate, standard deviation; Prokaryotic growth rate per cell; Prokaryotic growth rate per cell, standard deviation; QuAAtro AutoAnalyzer; Respiration; Respiration rate, oxygen, prokaryotic; Respiration rate, oxygen, prokaryotic, per cell; Respiration rate, oxygen, prokaryotic, standard deviation; RV Lotty; Salinity; SB; SS; Temperature, water; Thymidine incorporation
    Type: Dataset
    Format: text/tab-separated-values, 2213 data points
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  • 144
    Publication Date: 2024-02-23
    Description: Time series of currents, salinity (conductivity), temperature Chlorophyl-a and CDOM were obtained in the period May- June 2014 by use of a McLane ice-tethered profiler in Young Sound, Greenland. At YS05 (74.238 N, 20.188 W) the mooring consisted of a 600 kHz downward-looking Nortek Aquadopp ADCP and an SBE 52-MP CTD (accuracy temperature ±0.002 C and conductivity ±0.0003 Sm-1) and WetLab ECO triplet (Cholorphyll-a and CDOM). Velocities were corrected for magnetic deviation (18.5o). The water column sampling spanned between 1.5 and 30 m depth every 30 min. The ADCP was set to sample 80 bins (bin size of 0.5 m) and each bin consisted of a 1 min ensemble average of 60 pings. The first and last bins were centred at 1m and 41 m depth. Only bins between 2.5 and 30 m were adequately measured. For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74 N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Event label; Fluorescence, chlorophyll; Fluorescence, colored dissolved organic matter; Fluorometer, WET Labs ECO 3-Triplet; Hydrographic time series; ice-covered conditions; LATITUDE; LONGITUDE; MOOR; Moored Profiler CTD, Sea-Bird, SBE 52-MP; Mooring; Nortek Acoustic Wave and Current Profiler (AWAC); Pressure, water; Salinity; Temperature, water; Young Sound, Greenland; Young Sound-Greenland; YS05
    Type: Dataset
    Format: text/tab-separated-values, 284915 data points
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  • 145
    Publication Date: 2024-02-23
    Description: CTD data was obtained in the period April-June 2014 in Young Sound, Greenland. CTD casts were performed using an SBE-19 plus CTD (accuracy: ±0.005 C and ±0.0005 Sm-1) which was lowered through ice-drilled holes. In total, 4 transects were performed and covered from the mouth to the head of the fjord. Standardized routines of Seabird software were used on the data set for quality control and bin averaging. The data sets consist of profiles of practical salinity, temperature, potential temperature, dissolved oxygen, fluorescence, turbidity, and irradiance (PAR). For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74o N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: CTD, Sea-Bird, SBE 19plus; CTD data; DATE/TIME; DEPTH, water; Event label; Fluorescence; ice-covered conditions; LATITUDE; LONGITUDE; Oxygen, dissolved; Pressure, water; Radiation, photosynthetically active; Salinity; Sample elevation; Temperature, water; Temperature, water, potential; Turbidity (Formazin Turbidity Unit); Young Sound, Greenland; Young Sound-Greenland; YS-001; YS-002; YS-003; YS-004; YS-005; YS-006; YS-007; YS-008; YS-009; YS-010; YS-011; YS-012; YS-013; YS-014; YS-015; YS-016; YS-017; YS-018; YS-019; YS-020; YS-021; YS-022; YS-023; YS-024; YS-025; YS-026; YS-027; YS-028; YS-029; YS-030; YS-031; YS-032; YS-033; YS-034; YS-035; YS-036; YS-037; YS-038; YS-039; YS-040; YS-041; YS-042; YS-043; YS-044; YS-045; YS-046; YS-047; YS-048; YS-049; YS-050; YS-051; YS-052; YS-053; YS-054; YS-055; YS-056; YS-057; YS-058; YS-059; YS-060; YS-061; YS-062; YS-063; YS-064; YS-065; YS-066; YS-067; YS-068; YS-069; YS-070; YS-071; YS-072; YS-073; YS-074; YS-075; YS-076; YS-077; YS-078; YS-079; YS-080; YS-081; YS-082; YS-083; YS-084; YS-085; YS-086; YS-087; YS-088; YS-089; YS-090; YS-091; YS-092; YS-093; YS-094; YS-095; YS-096; YS-097; YS-098; YS-099; YS-100; YS-101; YS-102; YS-103; YS-104; YS-105; YS-106; YS-107; YS-108; YS-109; YS-110; YS-111; YS-112; YS-113; YS-114; YS-115; YS-116; YS-117; YS-118; YS-119; YS-120; YS-121; YS-122; YS-123; YS-124; YS-125; YS-126; YS-127; YS-128; YS-129; YS-130; YS-131; YS-132
    Type: Dataset
    Format: text/tab-separated-values, 191889 data points
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  • 146
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5666 data points
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  • 147
    facet.materialart.
    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5309 data points
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  • 148
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Anhysteretic susceptibility/magnetic susceptibility; Calypso square corer; CASQ; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; last deglaciation; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 730 data points
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  • 149
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Calypso square corer; CASQ; Clay; DEPTH, sediment/rock; Diatoms; Grain size, Mastersizer S, Malvern Instrument Inc.; last deglaciation; magnetic parameters; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Silt; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 150
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1014334 data points
    Location Call Number Expected Availability
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  • 151
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS124; PS124_99-1; Salinity; Temperature, water; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 6733598 data points
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  • 152
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 809720 data points
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  • 153
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    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 807573 data points
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  • 154
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    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 2302, WRMC No. 75040; Pyranometer, Hukseflux, SR30, SN 6355, WRMC No. 75039; Pyrgeometer, Kipp & Zonen, CGR4, SN 100175, WRMC No. 75041; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75038; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 807735 data points
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  • 155
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    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 810296 data points
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  • 156
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    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 713297 data points
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  • 157
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    Unknown
    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 832140 data points
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  • 158
    Publication Date: 2024-02-06
    Description: Samples were collected between May and August 1993 with US Coast Gard vessel Polar Sea and RV Polarstern. Multicorers were deployed within the Northeast Water (NEW) Polynya, and subcores of 16.67 cm² area x 3 cm depth were used for subsampling. Further processing of sampling is described in Jensen, 1992.
    Keywords: 115; 119; 138; 145; 155; 165; 179; 18; 217; 231; 232; 234; 258; 30; 32; 59; 60; 77; 80; 95; ARK-IX/2; ARK-IX/3; Basis of event; Campaign of event; Counted; Date/Time of event; Event label; Global Environmental Change: The Northern North Atlantic; Latitude of event; Longitude of event; meiofauna; MULT; Multiple investigations; NEGIS; Nematoda, number of species; NEW Polynya; Northeast Water Polynya; Polarstern; PS25/018; PS25/030; PS25/032; PS25/059; PS25/060; PS25/077; PS25/080; PS25/095; PS25 NEW; PS26/115; PS26/119; PS26/138; PS26/145; PS26/155; PS26/165; PS26/179; PS26/217; PS26/231; PS26/232; PS26/234; PS26/258; PS26 NEW; sediment; SFB313; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label
    Type: Dataset
    Format: text/tab-separated-values, 4520 data points
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  • 159
    Publication Date: 2024-02-06
    Description: This study examined the growth response of juvenile turbot (Scophthalmus maximus) to diets with graded fishmeal (FM) replacement with plant, animal, and emerging protein sources (PLANT, PAP, and MIX) in comparison to a commercial-like diet (CTRL). The feeding experiment was carried out from April to July 2019 in the Centre for Aquaculture Research (ZAF) at the Alfred Wegener Institute for Polar and Marine research in Bremerhaven, Germany. The juvenile turbot (Scophthalmus maximus) were purchased from France Turbot (L'Épine, France) and acclimated to the recirculating aquaculture system (RAS) for 2 weeks prior to starting the 16 weeks experimental trial. To elucidate the effects of the protein sources and the level of FM replacement on the nutritional status of the fish, glycogen, free glucose and lipid content of liver and muscle tissue were determined at the end of the experiment (t4). Following the procedure described by Keppler and Decker (1988), glycogen content was determined photometrically after enzymatic hydrolysis of glycogen to glucose. Briefly, filet and liver samples (3 individual fish per tank; 15 fish per diet in total) were grinded under liquid nitrogen, and approx. 200 mg tissue was homogenised in 5×volume of icecold 0.6 M perchloric acid (PCA) (w:v). After one cycle of 20 s at 6000 rpm and 3 °C using Precellys 24 (Bertin Technologies, France), samples were sonicated for 2 min at 0 °C and 360 W (Branson Ultrasonics Sonifier 450; Fisher Scientific, Germany), and homogenates were immediately divided for the analysis of total and free glucose concentrations.
    Keywords: by-product; Enzymatic analysis according to Keppler and Decker (1988); Experiment; Fish measuring board; glucose; glycogen; Identification; insect meal; Laboratory balance, Sartorius, Cubis; Laboratory experiment; Lipid; Location; Method comment; Sample ID; Sampling date/time, experiment; Scophthalmus maximus, liver glucose, per wet mass; Scophthalmus maximus, liver glycogen, per wet mass; Scophthalmus maximus, liver mass; Scophthalmus maximus, mass; Scophthalmus maximus, muscle glucose, per wet mass; Scophthalmus maximus, muscle glycogen, per wet mass; Scophthalmus maximus, total length; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Tank number; Time point, descriptive; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 1140 data points
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  • 160
    Publication Date: 2024-02-06
    Description: During the Arctic Land Expedition Perma-X in West Alaska (2022-07-28 -- 2022-08-21), several LiDAR scans were acquired using a backpack laser scanning system (GreenValley LiBackpack DGC50). The surveys were carried out on the Baldwin Peninsula and on the Seward Peninsula. The goal of the campaign was to quantify permafrost landscape change by mapping various permafrost thaw features such as thaw slumps, gullies, and degraded ice wedge polygons. These features are predominantly less than 1 km2 in size. The 3D point cloud data from the LiDAR backpack were used to generate Digital Elevation Models (DEMs) of the thaw features. The point cloud processing workflow for these DEMs included point cloud georeferencing, filtering, and ground classification. In total, 15 DEMs were derived at different locations during this campaign. In addition to change detection, the accurate field data are suitable for model parameterization and validation from Earth observation data.
    Keywords: AK-Land_2022_NWAlaska; AK-Land_2022_NWAlaska_BAP22A_01; AK-Land_2022_NWAlaska_BAP22A_02; AK-Land_2022_NWAlaska_BAP22B_01; AK-Land_2022_NWAlaska_BAP22B_03; AK-Land_2022_NWAlaska_BAP22B_04; AK-Land_2022_NWAlaska_BAP22C_01; AK-Land_2022_NWAlaska_BAP22C_02; AK-Land_2022_NWAlaska_BAP22D_01; AK-Land_2022_NWAlaska_BAP22D_02; AK-Land_2022_NWAlaska_BAP22H_01; AK-Land_2022_NWAlaska_BAP22H_02; AK-Land_2022_NWAlaska_CSP22F_01; AK-Land_2022_NWAlaska_CSP22F_02; AK-Land_2022_NWAlaska_CSP22F_03; AK-Land_2022_NWAlaska_CSP22F_04; AWI Arctic Land Expedition; BAP22A; BAP22B; BAP22C; BAP22D; BAP22H; Coordinate reference system; CSP22F; Data type; DATE/TIME; DEM; Event label; Feature; Gear; Ice-wedge Polygons; Identification; LATITUDE; Latitude, northbound; Latitude, southbound; LONGITUDE; Longitude, eastbound; Longitude, westbound; permafrost thaw features; Perma-X; Perma-X Scan Alaska 2022; point clouds; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Resolution; Site; Terrestrial laser scanning (TLS); thaw slump; thermo-erosion gullies; Wearable LiDAR Scanning System, GreenValley, LiBackpack DGC50; West Alaska
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 161
    Publication Date: 2024-02-06
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS138 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data from other working groups on board. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (.asd) were recorded with Teledyne/Atlas Parastore software as well as Teledyne Reson format (.s7k) in Teledyne PDS. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: ArcWatch-1; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; PS138; PS138_0_Underway-28; PS138_115-1; PS138_145-1; PS138_168-1; PS138_172-1; PS138_174-1; PS138_19-1; PS138_193-1; PS138_195-1; PS138_196-1; PS138_201-1; PS138_207-1; PS138_2-1; PS138_218-1; PS138_22-1; PS138_26-1; PS138_40-1; PS138_69-1; PS138_90-1; 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-mapping system Atlas Hydrosweep DS-3
    Type: Dataset
    Format: text/tab-separated-values, 26459 data points
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  • 162
    Publication Date: 2024-02-06
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS137 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data from other working groups on board. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (.asd) were recorded with Teledyne/Atlas Parastore software as well as Teledyne Reson format (.s7k) in Teledyne PDS. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: ALOIS; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; CTD-yoyo; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; PS137; PS137_0_Underway-54; PS137_10-1; PS137_1-1; PS137_12-1; PS137_14-1; PS137_18-1; PS137_22-1; PS137_26-1; PS137_28-1; PS137_33-1; PS137_36-1; PS137_4-1; PS137_41-1; PS137_49-1; PS137_52-1; PS137_55-1; PS137_58-1; PS137_6-1; PS137_61-1; 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-mapping system Atlas Hydrosweep DS-3; Yoyo-CTD
    Type: Dataset
    Format: text/tab-separated-values, 15595 data points
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  • 163
    Publication Date: 2024-02-07
    Description: Subsurface nutrients on the Scotian Shelf, an ocean region at the convergence of the subpolar and subtropical western boundary currents (i.e., Labrador Current and Gulf Stream), are chiefly modulated by upstream shelf and slope waters. Yet little is known about long-term fluctuations in the advective transport of nutrients to the shelf. To examine the relationships between subsurface nutrient concentrations and dominant slope water masses at the Scotian Shelf break, we assembled all available hydrographic data (temperature, salinity) and dissolved nutrient data (nitrate, phosphate, silicate) for the period 1975-2020. Hydrographic and nutrient data were extracted from the Fisheries and Oceans Canada (DFO) data archives MEDS (Marine Environmental Data Section Archive; DFO, 2023a) and BioChem (DFO, 2023b; Devine et al., 2014), respectively, and predominantly include data from current DFO programs (e.g., Atlantic Zone Monitoring Program (AZMP)) and legacy datasets. Hydrographic data consist of vertical water column profiles collected using a conductivity-temperature-depth (CTD) profiler, generally mounted to a rosette sampler equipped with Niskin bottles for discrete water and nutrient sampling (Mitchel et al., 2002). Nutrient (nitrate, phosphate, silicate) measurements generally followed well established colorimetric techniques outlined in detail in the AZMP sampling protocol (Mitchell et al., 2002). Only nutrient data that passed initial quality control (i.e., BioChem quality flags of 1 and 0) are included in the datasets provided here (see Devine et al., 2014 for details on quality control (QC) procedures). In addition to hydrographic and nutrient parameters, datasets further include information on designated regions (e.g., WSS: Western Scotian Shelf, CSS: Central Scotian Shelf, ESS: Eastern Scotian Shelf) as defined in Lehmann et al (2023).
    Keywords: Compilation; Cruise/expedition; Data ID; Data source; DATE/TIME; DEPTH, water; hydrography; LATITUDE; Location; LONGITUDE; Nitrate; Northwest Atlantic; nutrients; Phosphate; Salinity; Scotian Shelf; Silicate; Station label; Temperature, water; Uniform resource locator/link to source data file
    Type: Dataset
    Format: text/tab-separated-values, 1457858 data points
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  • 164
    Publication Date: 2024-02-07
    Description: Multibeam bathymetry raw data were recorded in the South Atlantic and Indian Ocean during cruise MSM59/2_Transit that took place between 2016-12-26 and 2016-12-28 on a transit from Port Luis, Mauritius to Cape Town, South Africa. Data were collected outside EEZs using a vessel mounted Kongsberg EM122. This data is part of the DAM (German Marine Research Alliance) underway research data project. Underway data are collected continuously on German research vessels and can include data from transits or from the entire cruise and are shared in line with the FAIR principles.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM59/2_Transit; MSM59/2_Transit_0_Underway-1; Multibeam; Number of pings; raw data; 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
    Type: Dataset
    Format: text/tab-separated-values, 1676 data points
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  • 165
    Publication Date: 2024-02-07
    Description: At each station two vertical net tows were taken from the water column using a 20 μm plankton net (438-030, Hydro-Bios, Kiel, Germany) for analyses of plankton and phycotoxins. The depth of the hauls was fixed to 0 – 30 m. The collected net tow concentrates were adjusted to 1 L with filtered seawater. 150 mL aliquots were filtered under gentle vacuum (〈 0.2 bar) through 1 μm pore-size polycarbonate filters (Whatman, USA) for DNA analysis. DNA from the filters was immediately extracted by using 5% Chelex buffer (Tanabe et al. 2016). For detection of eukaryotic species, universal primers for 18S rRNA gene V7-V9 variable region (18S-V7F: TGGAGYGATHTGTCTGGTTDATTCCG and 18S-V9R: TCACCTACGGAWACCTTGTTACG; modified from Tanabe et al. 2016) were used. The procedures and techniques, applicable to the treatment of the obtained sequences, selection and taxonomic identification of operational taxonomic units (OTUs), were administered according to the workflow described in Dzhembekova et al. (2017). Taxonomic assignment was performed using BLAST against a sequence database downloaded from GenBank.
    Keywords: According to Schoch et al. (2020); Basic Local Alignment Search Tool; BLAST; chlorophyll-a; Code; Country; CTD profile; Date/Time of event; Depth, bottom/max; Depth, top/min; Event label; Genetic lineage; HAB species; Identity; isolated strains; Latitude of event; Location; Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Provenance/source; Reads; Species; Tübitak Marmara; vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 8272 data points
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  • 166
    Publication Date: 2024-02-07
    Description: 1 L samples for further phytoplankton analysis were collected from Nansen bottles installed on a SeaBird CTD Rosette from 3 layers of the water column (usually surface, termocline and deep chlorophyll maximum). The samples were preserved onboard with 20 mL formaldehyde and concentrated in the laboratory by the sedimentation method down to aprox. 30 mL. The method relies on settling and removing the supernatant in two stages, once every two weeks (Moncheva & Parr, 2010). The determination and counting of species cells in the analyzed sample fraction (1 mL) was performed under the plankton inverted microscope using 20x or 40x objectives (Moncheva, 2008). With the primary data thus obtained, the abundance (cells/L) and wet biomass (mg/m³) were calculated for each species/the highest taxonomic level that was possible to identify. The names of the identified species have been updated according to WORMS (WoRMS Editorial Board, 2022).
    Keywords: Biomass, wet mass per volume; chlorophyll-a; Class; Code; Country; CTD profile; Date; Date/Time of event; Depth, bottom/max; Depth, top/min; Event label; Family; HAB species; Investigator; isolated strains; Kingdom; Latitude of event; Location; Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; Order; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; Phylum; POC; Provenance/source; Scientific name; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Total counts; Tübitak Marmara; vitamin B12; Year of analysis
    Type: Dataset
    Format: text/tab-separated-values, 35829 data points
    Location Call Number Expected Availability
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  • 167
    Publication Date: 2024-02-07
    Keywords: according to Garcia & Gordon; chlorophyll-a; Comment; Conductivity; CTD profile; DATE/TIME; Density, mass density; Density, sigma-theta (0); Depth, bathymetric; DEPTH, water; Event label; File name; Flag; Fluorescence; HAB species; Investigator; isolated strains; ITS-90, temperature scale; LATITUDE; LI-COR Biospherical PAR Sensor; LONGITUDE; MULT; Multiple investigations; net tows; NOC; Nutrient data; Oxygen, dissolved; Oxygen raw; Oxygen saturation; Oxygen sensor, SBE 43; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Pressure, water; Quality flag, conductivity; Quality flag, density; Quality flag, fluorescence; Quality flag, irradiance; Quality flag, oxygen; Quality flag, salinity; Quality flag, turbidity; Quality flag, water depth; Quality flag, water pressure; Quality flag, water temperature; Radiation, photosynthetically active; Salinity; Station label; Strain gauge; Temperature, water; Tübitak Marmara; Turbidity (Nephelometric turbidity unit); Turbidity Meter, WET Labs ECO ECO-AFL/F; Type; vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 237286 data points
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  • 168
    Publication Date: 2024-02-07
    Description: Phycotoxins (Fuat Dursun, Bernd Krock): An 8 L aliquot of pooled water from surface water, 10 m depth and the thermocline was filtered through 5 μm polycarbonate filters for azaspiracid and karlotoxin determination. The filters were extracted by repeated rinsing with methanol, the methanolic extracts were transferred to centrifugation filters and filtered at a cutt-off of 0.45 μm by centrifugation. Filtrates were transferred into analytical glass vials for posterior LC-MS/MS determination at AWI. Net tows of each station were combined and ajusted to 1 L with filtrated seawater. Aliquots of 200 mL, 50 mL, and 20 mL were taken for DNA analysis, Cell isolation, and fixation, respectively. The remaining aliquot of the net tow concentrate was filtered through a filter array of 200, 50, and 20 μm meshes. The residue of each mesh was rinsed with filtrated seawater into a centrifugation tube, homogenized by shaking, and divided into two aliquots. Both aliquots of each size fraction were centrifuged at maximum speed for 15 min. After centrifugation, supernatants were decanted and the remaining cell pellets resuspended with a small volume of filtrated seawater and transferred to cryovials containing ceramic beads. The samples were centrifuged again and supernatants carefully removed with a pipette. To one of the two size fraction aliquots 500 μL methanol was added and the same volume of dilute acetic acid to the other. All samples were homogenized with FastPrep instrument by reciprocal shaking at maximum speed and homogenated were centrifuged. After centrifugation, the toxin containing extracts were removed and transferred to centrifugation filters. The extracts were filtered by centrifugation and the filtered extracts were transferred into analytical glass vials for LC-MS/MS and LC-FLD determination, respectively, in the home lab.
    Keywords: chlorophyll-a; CTD profile; Depth, bottom/max; Depth, top/min; Event label; Goniodomin A per net tow; Gonyautoxins 2/3 per net tow; HAB species; isolated strains; Latitude of event; Liquid Chromatography with tandem mass spectrometry (LC-MS/MS); Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; Pectenotoxin 2 per net tow; Pectenotoxin 2sa per net tow; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Sample ID; Tübitak Marmara; vitamin B12; Yessotoxin 1061 per net tow; Yessotoxin 1131 per net tow; Yessotoxin 1155 per net tow; Yessotoxin 1173 per net tow; Yessotoxin 1273 per net tow; Yessotoxin 1405 per net tow; Yessotoxin per net tow
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
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  • 169
    Publication Date: 2024-02-07
    Description: Nitrite and nitrate as nitrogen (NO3+NO2), ammonium as nitrogen (NH4+), ortho-phosphate as phosphorus (o-PO4) and silica (SiO2) analyzes were measured by a QuAAtro39 Continuous Segmented Flow Analyzer consisting of an autosampler, a peristaltic pump, a chemistry manifold, a detector and data acquisition software. This protocol is in accordance with standard methods for the examination of water and wastewater. Dissolved oxygen (DO) was measured by using the Winkler method, in which a divalent manganese solution and strong alkali are added sequentially to the samples. Thus, dissolved oxygen rapidly oxidizes an equivalent amount of divalent manganese to basic hydroxides of higher valency states. With the presence of iodide ions in acidic conditions, the oxidized manganese reverts to its divalent state, and meanwhile, the iodine equivalent to the dissolved oxygen in the sample is released. This released iodine is titrated with a standardized thiosulfate solution and the dissolved oxygen value in the sample is calculated by potentiometric measurement using Metrohm 905 Titrando automatic titrator system. Dissolved oxygen samples are taken and analyzed in duplicate. The relative percent difference (RPD) of duplicates did not exceed 4.3% (Average is 0.62%). All results were also compared with the CTD dissolved oxygen data. pH measurements of sea waters were measured in lab by Mettler Toledo SevenMulti pH meter. The pH meter was calibrated every two days with the calibration standards at the values of 7.00 and 9.21. During the measurements, the pH values were recorded together with the current sample temperature values.
    Keywords: Ammonium; Continuous Segmented Flow Analyzer, SEAL Analytical, QuAAtro39; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; MULT; Multiple investigations; Nitrate and Nitrite; Nutrient data; Oxygen, dissolved; pH; pH meter, Mettler Toledo, SevenMulti; Phosphate; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; Silicate; Titration, Winkler; Tübitak Marmara
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
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  • 170
    Publication Date: 2024-02-07
    Description: The data set was acquired during the PHYCOB cruise in the frame of the Eurofleets+ programme (https://www.eurofleets.eu/2021/10/22/phycob-an-international-oceanographic-expedition-into-the-western-black-sea-coordinated-by-the-alfred-wegner-institut-helmholtz-zentrum-fur-polar-und-meeresforschung-awi/) within the Regional call in the territorrial waters of Romania and Bulgaria in the Western Baltic Sea from 11th to 17th September 2021. The aim of the cruise was to assess the occurrence of potentially harmfal algae and their associated phycotoxins in the Black Sea and the accompanying environmental parameters. Sampling was performed by CTD casts and Rosette water sampling in addition to vertical phytoplankton net hauls from 30 m depth to surface. The determined parameters include the following: Quantitative phytoplankton cell counts in water samples, qulitative determination of toxigenic species next generation sequencing data in plankton net concentrates, monoclonanal cultures established from water sample isolates, phycotoxins in plankton net concentrates, inorganic nitruinets (nitrate/nitrite, phosphate, silicate) , vitamin B12, particulate organic carbon, particulate organic nitrogen, flowcytometry data, and CTD data (temperature, salinity, chlorophyll-a, oxygen, turbidity, radiance).
    Keywords: chlorophyll-a; CTD profile; HAB species; isolated strains; net tows; NOC; Nutrient data; phycotoxins; POC; vitamin B12
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 171
    Publication Date: 2024-02-07
    Description: Subsurface nutrients on the Scotian Shelf, an ocean region at the convergence of the subpolar and subtropical western boundary currents (i.e., Labrador Current and Gulf Stream), are chiefly modulated by upstream shelf and slope waters. Yet little is known about long-term fluctuations in the advective transport of nutrients to the shelf. To examine the relationships between subsurface nutrient concentrations and dominant slope water masses at the Scotian Shelf break, we assembled all available hydrographic data (temperature, salinity) and dissolved nutrient data (nitrate, phosphate, silicate) for the period 1975-2020. Hydrographic and nutrient data were extracted from the Fisheries and Oceans Canada (DFO) data archives MEDS (Marine Environmental Data Section Archive; DFO, 2023a) and BioChem (DFO, 2023b; Devine et al., 2014), respectively, and predominantly include data from current DFO programs (e.g., Atlantic Zone Monitoring Program (AZMP)) and legacy datasets. Hydrographic data consist of vertical water column profiles collected using a conductivity-temperature-depth (CTD) profiler, generally mounted to a rosette sampler equipped with Niskin bottles for discrete water and nutrient sampling (Mitchel et al., 2002). Nutrient (nitrate, phosphate, silicate) measurements generally followed well established colorimetric techniques outlined in detail in the AZMP sampling protocol (Mitchell et al., 2002). Only nutrient data that passed initial quality control (i.e., BioChem quality flags of 1 and 0) are included in the datasets provided here (see Devine et al., 2014 for details on quality control (QC) procedures). In addition to hydrographic and nutrient parameters, datasets further include information on designated regions (e.g., WSS: Western Scotian Shelf, CSS: Central Scotian Shelf, ESS: Eastern Scotian Shelf) as defined in Lehmann et al (2023).
    Keywords: Compilation; Cruise/expedition; CTD; Data ID; Data source; DATE/TIME; DEPTH, water; hydrography; LATITUDE; Location; LONGITUDE; Name; Northwest Atlantic; Salinity; Scotian Shelf; Temperature, water; Uniform resource locator/link to source data file
    Type: Dataset
    Format: text/tab-separated-values, 17375611 data points
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  • 172
    Publication Date: 2024-02-07
    Description: At each station two vertical net tows were taken from the water column using a 20 μm plankton net (438-030, Hydro-Bios, Kiel, Germany) for analyses of plankton and phycotoxins. The depth of the hauls was fixed to 0 - 30 m. The collected net tow concentrates were adjusted to 1 L with filtered seawater. 50 mL aliquots were fixed with formaldehyde solution, buffered to pH 8-8.2 with disodiumtetraborate (4% final concentration) for microscopic analyses of phytoplankton. Taxonomic identification and cell counts of the net samples were done under inverted microscope (Nikon Eclipse TE2000-U) connected to a video-interactive image analysis system (L.U.C.I.A, Version 4.8, Laboratory Imaging Ltd, Prague, Czech Republic) at 400 × magnification in Sedgwick-Rafter counting chambers. Only dinoflagellates species and the diatom Pseudo-nitzschia genus were considered during the analyses. 400 cells were counted from each sample, while rare and large species were checked in the whole counting chamber (Moncheva and Parr 2010). Cell abundance was expressed in cells per net tow. Taxonomic nomenclature was according to the on-line data-base of World Register of Marine Species (WoRMS) http://www.marinespecies.org/. The QC/QA of the data was performed following the quality control Guidelines for phytoplankton (Moncheva 2010). IOC-UNESCO Taxonomic Reference List of Harmful Micro Algae was used as a reference database of toxic microalgal species selection.
    Keywords: chlorophyll-a; Class; Code; Comment; Country; Counts; CTD profile; Date; Depth, bottom/max; Depth, top/min; Event label; Family; Genus; HAB species; Investigator; isolated strains; Kingdom; LATITUDE; Location; LONGITUDE; MULT; Multiple investigations; net tows; NOC; Nutrient data; Order; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; Phylum; POC; Provenance/source; Sample ID; Scientific name; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Tübitak Marmara; vitamin B12; Year of analysis
    Type: Dataset
    Format: text/tab-separated-values, 22397 data points
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  • 173
    Publication Date: 2024-02-07
    Description: Samples for biological and chemical parameters were collected at the surface (3m), pyrocline, and the deep chlorophyll a maximum using the CTD (Conductivity, Temperature, and Depth) rosette outfitted with Niskin bottles. Nitrite and nitrate (NO3-+NO2-) referred to as Nox, ortho-phosphate as phosphorus (o-PO43-) and silica (SiO2) were analysed using a QuAAtro39 Continuous Segmented Flow Analyzer. Size fractionated chlorophyll a was collected by filtering water through 0.2 µm and 2 µm polycarbonate filters and frozen on board to be analysed later in the lab using standard fluorometric techniques. Duplicate particulate organic carbon and nitrogen (POC and PON) samples were collected on pre- combusted GF/F glass fiber filters, and stored frozen at -20°C until subsequent analysis on anelemental analyser in the lab. Whole water samples were preserved with 10% buffered formalin (1 % v/v final) and analyzed by flow cytometry to assess picoplankton densities. Abundance of heterotrophic bacteria (stained with SYBR Green I), phycoerythrin-containing picocyanobacteria, and photosynthetic picoeukaryotes were quantified using a Beckson Dickson Accuri C6 Flowcytometer using fluorescence patterns and particle size from side angle light scatter.
    Keywords: [RVSS]; Carbon, organic, particulate; Carbon/Nitrogen, molar ratio; chlorophyll-a; Chlorophyll a, size fraction 〈 2 µm; Chlorophyll a, size fraction 〉 2 µm; Chlorophyll a, total; CTD, Seabird; CTD profile; CTD-R; Cyanobacteria; DEPTH, water; Event label; HAB species; Heterotrophic prokaryotes; isolated strains; MULT; Multiple investigations; net tows; Nitrate and Nitrite; Nitrogen, organic, particulate; NOC; Nutrient data; Oxygen, dissolved; Phosphate; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; Picoeukaryotes; POC; Rosette Vertical Sampling System; Salinity; Silicate; Temperature, water; Tübitak Marmara; vitamin B12; Vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 1129 data points
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  • 174
    Publication Date: 2024-02-07
    Description: On board microscopic analyses of live net tow (vertical net tows of the upper water column from 30 m depth with a 20 µm mesh-size phytoplankton net) and rosette water samples was performed to characterise the plankton communities, and to document the dinophyte species composition by photo- and video recording. In addition, these samples were used to establish various algal cultures by manual isolation of single cells into 96 well plates filled with 0.3 ml of filtered seawater from the sampling site. Plates were incubated at 20 °C and moderate light intensity (50 µE m-2 s-1), and successfully growing strains were then upscaled into 70 ml plastic culture flasks for further taxonomical and toxicological characterization.
    Keywords: chlorophyll-a; CTD profile; DEPTH, water; Event label; HAB species; Incubation of single cells at 20 °C and moderate light intensity; isolated strains; Latitude of event; Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_13; PHYCOB_15; PHYCOB_16; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Tübitak Marmara; vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 175
    Publication Date: 2024-02-06
    Description: Benthic polychaetes were sampled on the NEG shelf between July - August 1992 with the United States Coast Guard Cutter (USCGC) Polar Sea, and between May and August 1992 with USCGC Polar Sea and R/V Polarstern (ARKVIII/2). Boxcorers (US NEL-Mark III, 0.25 m²) were deployed in 2-5 replicates per station and from each boxcore 3 replicate subcores (6 cm diameter x 15 cm deep), subsequently sieved over a 500 µm mesh sieve, fixed with 6 % buffered formaldehyde and stained with Rose Bengal. Individuals were identified to family level, or the lowest possible taxonomic level, and counted. Individuals were identified to the lowest possible taxonomic level and counted.
    Keywords: 119; 145; 177; 218; 238; 271; 273; Annelida; ARK-IX/3; Basis of event; Campaign of event; Counted; Date/Time of event; Event label; Family; Latitude of event; Longitude of event; Macrofauna; MULT; Multiple investigations; NEGIS; NEWP_P2; NEWP_P25; NEWP_P29; NEWP_P3; NEWP_P36; NEWP_P4; NEWP_P42; NEWP_P43; NEWP_P56; NEWP_P62; NEWP_P63; NEWP_P64; NEWP_P65; NEWP_P72; NEWP_P73; NEWP_P75; NEWP_X63; NEWP_X67; NEWP_X80; NEWP_X93; NEWP_X98; NEWP92; NEWP93; NEW Polynya; Northeast Water Polynya; Optional event label; P2; P25; P29; P3; P36; P4; P42; P43; P56; P62; P63; P64; P65; P72; P73; P75; Polar Sea; Polarstern; Polychaeta; PS26/119; PS26/145; PS26/177; PS26/218; PS26/238; PS26/271; PS26/273; PS26 NEW; sediment; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label; X63; X67; X80; X93; X98
    Type: Dataset
    Format: text/tab-separated-values, 8477 data points
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  • 176
    Publication Date: 2024-02-06
    Description: This study examined the growth response of juvenile turbot (Scophthalmus maximus) to diets with graded fishmeal (FM) replacement with plant, animal, and emerging protein sources (PLANT, PAP, and MIX) in comparison to a commercial-like diet (CTRL). The feeding experiment was carried out from April to July 2019 in the Centre for Aquaculture Research (ZAF) at the Alfred Wegener Institute for Polar and Marine research in Bremerhaven, Germany. The juvenile turbot (Scophthalmus maximus) were purchased from France Turbot (L'Épine, France) and acclimated to the recirculating aquaculture system (RAS) for 2 weeks prior to starting the 16 weeks experimental trial. To elucidate the effects of the protein sources and the level of FM replacement on the nutritional status of the fish lipid content of liver and muscle tissue were determined at the end of the experiment (t4). Muscle and liver samples (3 individual fish per tank; 15 fish per diet in total) were grinded under liquid nitrogen. Due to small volume, the individual samples of liver and muscle were pooled (n=5 tanks per diet) for the crude lipid content. Following the method of Folch et al. (1957) and Postel et al. (2000), the lipids in the muscle and liver tissue were extracted with 2:1 dichloromethanemethanol (v/v) and an aqueous solution of 0.88% potassium chloride (KCl) (w:v). Crude lipid content was determined gravimetrically to the nearest 0.001 g and calculated as the percentage of lipids of tissue wet weight.
    Keywords: by-product; Experiment; glucose; glycogen; Identification; insect meal; Laboratory balance, Sartorius, Secura 5102-1S; Laboratory experiment; Lipid; Location; Method comment; Sample ID; Sampling date/time, experiment; Scophthalmus maximus, liver lipid, per dry mass; Scophthalmus maximus, muscle lipid, per dry mass; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Tank number; Time point, descriptive; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 177
    Publication Date: 2024-02-05
    Description: The TRIAXUS ROTV (Remotely Operated Towed Vehicle, MacArtney) is a towed and undulating system which is equipped with a SEABIRD FASTCAT, SBE 49, AANDERAA OXYGEN OPTODE 4330 F, a SEASCAN SUNADeep Nitrate Sensor, a Turner Chl a sensor and a Seascan Video Plankton Recorder (VPR). It measures: seawater temperatures, salinity, dissolved oxygen, nitrate concentrations, Chlorophyll a in the water column. The Videoplanktonrecorder detects particles and organisms in the water column. Trichodesmium colonies were identified using a deep learning software.
    Keywords: Benguela Upwelling System; Chlorophyll a; CTD-TRIAXUS; DATE/TIME; DEPTH, water; Distance; Event label; Fluorometer, Turner Design, C6 Cyclops; Haul; LATITUDE; LONGITUDE; M153; M153_19-3; M153_56-2; Meteor (1986); Nitrate; Nitrate sensor, SBE Deep SUNA; Oxygen; Oxygen optode, Aanderaa type 4330F; Pumped CTD (SBE 49 FastCAT); Salinity; Temperature, water; TRAFFIC; Triaxus; Trichodesmium; Trichodesmium sp.; Trophic Transfer Efficiency in the Benguela Current; Video plankton recorder, Seascan; followed by deep learning software, Python 3.7
    Type: Dataset
    Format: text/tab-separated-values, 1319248 data points
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  • 178
    Publication Date: 2024-02-05
    Description: This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Panarctic requirements-driven Permafrost Service' of the Arctic PASSION project (see references). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue colors, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes appear in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, which can appear in different colors, depending on the time of the fire and pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX, see references) and is available as a public web map service (WMS, see references), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.
    Keywords: Arctic_PASSION; Arctic_PASSION_Permafrost_Service; Arctic PASSION; Binary Object; Binary Object (File Size); Binary Object (Media Type); CCI Permafrost; Circum-arctic permafrost region; Coastline change; Earth observation; ESA_CCI_Permafrost_CCN2; ESA GlobPermafrost; File content; GlobPermafrost; Horizontal datum; Lake change; Lake drainage; Land cover change; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multispectral index; NSF Permafrost Discovery Gateway; Pan-Arctic observing System of Systems: Implementing Observations for societal Needs; Permafrost_Discovery_Gateway; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Raster cell size; River bank erosion; SAT; satellite data; Satellite remote sensing; Shore erosion; Thaw slumping; thermokarst
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 179
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-1; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 180
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-9; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 181
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-7; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 182
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-8; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 183
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-4; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 184
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-2; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 185
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-10
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE629 were processed to receive a validated master track which can be used as reference of further expedition data. During HE629 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; HE629; HE629-track; Heincke; RoboLeaks
    Type: Dataset
    Format: application/zip, 29.2 MBytes
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  • 186
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-2; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 187
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 188
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-12; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 189
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 190
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-5; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 191
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 192
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-2; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 193
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-11; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 194
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-7; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 195
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-10; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 196
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-3; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 197
    Publication Date: 2024-02-13
    Description: As the Arctic warms, the historic functioning of local ecosystems is changing in new and not always anticipated ways. One such change is the appearance and expansion of ice algal mats in the melt ponds of northern Svalbard. An expedition to this remote part of the planet was launched in July 2004 to measure the productivity of this new type of mat. Data were collected using oxygen micro electrodes, PAR sensors, and the visual analysis of samples via microscope. This dataset contains the oxygen profiles from this research. Also included are the surface temperature and salt concentrations for each core.
    Keywords: Arctic Biodiversity & Livelihoods; Arctic Ocean; Barents Sea; carbon turnover; Date; DEPTH, ice/snow; FACE-IT; High performance liquid chromatography, Agilent 1100, Agilent Technologies, Germany; ice algae; Identification; melt ponds; Oxygen; Oxygen, gas; Oxygen microsensor, Clark type (Revsbech, 1989); oxygen production and consumption; Oxygen sensor, SBE 44; Photosynthesis; Salinity; Salt content; Svalbard_Carbonara; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5017 data points
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  • 198
    Publication Date: 2024-02-13
    Description: Here we present natural gamma ray (NGR) measured continously through a well-log drilled at the western South Atlantic (Espirito Santo Basin) named ES-2. Biostratigraphic and sequence stratigraphic interpretation identify the well-log as a Paleogene to Neogene section bounded by global sequences Sel1 (Selandian) and Ser4/Tor1 (Serravalian/Tortonian). Within this interval a high-resolution cyclostratigraphic framework was conducted to build an astronomical time scale. The identification of the orbital spectral conented is made through null-hypothesis test, such as Average Spectral Misfit (ASM), Correlation Coefficient (COCO) and Time Optimization (TimeOpt). Integrated prediction error filter (INPEFA) is used to recognize main depositional sequences. When INPEFA is tuned to the high-resolution orbital age model a very coherent astronomical deposition is revealed forced by long (405-kyr) and short (~100-kyr) eccentricity and periods of obliquity (~41-kyr). Very long amplitude modulation (AM) of eccentricity and obliquity are identified. These set of orbital forcing likely appear as a result of sea-level fluctuation and determine the stacking pattern.
    Keywords: Age model; Astronomical time scale; calculated with evolutive Time Optimization (eTimeOpt); Calculated with Integrated Prediction Error Filter (INPEFA); CDRILL; Cenozoic; Core drilling; DEPTH, sediment/rock; Milankovitch cycles; Natural gamma ray; Natural gamma ray, long term trend; Natural gamma ray, mid term trend; Natural gamma ray, short term trend; Orbital forcing; Petrobras-ES2; South Atlantic; Well log
    Type: Dataset
    Format: text/tab-separated-values, 78595 data points
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  • 199
    Publication Date: 2024-02-13
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 200
    Publication Date: 2024-02-13
    Description: Nitrate and UV-absorbance spectra were measured by a SUNA V2 UV-spectrometer (Satlantic) mounted in the sensor skid of a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. The instrument header is SATSLS0847. Data use manufacturer calibration.
    Keywords: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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