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  • Data  (34,136)
  • Published Data from PANGAEA  (34,136)
  • 2020-2024  (34,136)
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  • Data  (34,136)
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  • 1
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    Continuous optical chlorophyll-a and turbidity data along RV SONNE cruise SO289 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-02
    Description: Underway optical chlorophyll-a and turbidity data were collected along the cruise track with Sea-Bird Scientific ECO FLNTU sensors installed within two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). The SMBs measure alternatingly. While one box is measuring, the other one is being cleaned. At the beginning of the transect, the boxes switched to operation every three hours, later, while the ship is transecting the Pacific Gyre, the cleaning interval was changed to only every 24 hours. The water inlet for the SMBs is at about 4 m depth. The data were quality controlled and the chlorophyll-a data were additionally calibrated using discrete water samples. In situ chlorophyll-a samples were collected by the scientific party from Niskin bottles during CTD stations and underway using a tow fish. Chlorophyll-a of these samples was determined in the lab on board using a bench top fluorometer. Details on all quality control steps, the calibration, as well as a comparison to satellite data can be found in the data processing report. The resulting data set contains the original data and corresponding quality flags and, in case of chlorophyll-a, additionally the calibrated data plus quality flag. The data source is given through the name of the active SMB. The data set contains data during transect and station. We recommend to use ship's speed to filter for only transect data.
    Keywords: Chlorophyll a; chlorophyll-a; DAM; DAM_Underway; DAM Underway Research Data; Data quality control procedures according to Copernicus Marine in situ TAC BGC quality control group (2021); DATE/TIME; DEPTH, water; EPA 445; Fluorescence; Fluorometer, Sea-Bird Scientific, ECO FLNTU; Fluorometer, Sea-Bird Scientific, ECO FLNTU; Calibration with samples measured according to Arar and Collins (1997); GEOTRACES GP21; ICBM; LATITUDE; LONGITUDE; Measurement container; Quality flag, chlorophyll a; Quality flag, turbidity; Ship speed; SO289; SO289_0_Underway-7; Sonne_2; turbidity; Turbidity (Nephelometric turbidity unit); Underway Measurement
    Type: Dataset
    Format: text/tab-separated-values, 470752 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    3D multichannel seismic reflection processed data (P-Cable system with GI Gun) of RV POSEIDON during cruise POS515, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data are a processed and interpolated P-Cable 3D seismic data cube. The data were collected during expedition POS515 with the research vessel POSEIDON (Riedel et al., 2017) in the Mediterranean Sea, Calabrian Arc offshore southern Italy (map under further details). Seismic source was a Generator-Injector airgun fired in harmonic GI mode with generator and injector volume of 105 cubic inches. The source was towed at a nominal depth of 2 m beneath the sea surface. We deployed a P-Cable system made from 12 parallel streamers (each 12. 5 m in length). Details on the towed geometry are given in Figure 30 of the cruise report (Riedel et al., 2017). The P-Cable data were acquired over the course of 6 days during POS515 starting from 13:45 on July 5, 2017 until 12:06 on July11, 2017 (all CET). Processing included: 3D geometry application, trace editing, static time corrections, band-pass filtering, sorting to common midpoint gathers, normal moveout correction (1520 m/s velocity ), and stacking. The stacked 3D cube was then interpolated to fill any empty bins. Afterwards, Stolt time migration (1550 m/s) was performed, first inline, then crossline direction. The dataset has a horizontal resolution of 3.125 m (bin size) and a dominant frequency of ~100 Hz.
    Keywords: 3D seismic P-Cable data; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); CALVADOS; File content; P-Cable; P-Cable 3D Seismic; P-Cable 3D seismic cube; POS515; POS515_59-2; Poseidon; Sartori mud volcano
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV POSEIDON during cruise POS515, Poseidon mud volcano chain, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data set contains 13 2D multichannel seismic lines acquired across Poseidon mud volcano chain, Caalbrian Arc, offshore southern Italy. Data were processed onboard during expedition POS515 with R/V POSEIDON. These lines were also recorded on 12 OBS. Details see cruise report (Riedel et al., 2017). Main processing steps include: Geometry definition, Common-Mid-(CMP) Point sorting (1.5625 m bin-space), Normal-Moveout-Corrention (NMO) using a constant velocity of 1500 m/s and Stacking Stolt-Migration (in time) with constant velocity of 1500 m/s. Data processing was completed onboard using the SU processing package. Seismic Surveying at Poseidon mudvlcano started with line P4001 on July 3, 2017 (08:22 am, CET) at 17°40.12'E, 38°21.58N. The last line acquired in this sequence is line P6010. Surveying ended on July 5, 2017 at 04:00 am (CET) at 17°43.12'E, 38°18.96'N.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Calabrian accretionary prism; CALVADOS; File content; Mediterranean Sea, Eastern Basin; multichannel reflection seismics; POS515; POS515_45-1; POS515_46-1; Poseidon; SEIS; Seismic; Seismic reflection profile; SEISREFL
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Loss on ignition, water content, and pH measurements in surface sediments (2022) within DynaCom experimental islands and saltmarsh enclosed plots at different elevation levels, Spiekeroog, Germany (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: Data presented here were collected between January 2022 to November 2022 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Sediment samples for the determination of pH, water content and loss on ignition were taken bi-/monthly in surface sediments (0-3 cm depth) from the experimental plots. Samples were stored dark and cool (8°C) until measurement. Samples were measured in the laboratory within two months after sampling. Water content (w, [-]) was determined by first weighing the fresh sample (mf; ~ 3-7 g) in pre-weighed aluminium trays and than placed in the drying chamber at 105 °C for 12 hours. After placing samples in the exsiccator for 60 min., samples were re-weight to determine dry weight (md). Water content was calculated using w = (mf - md) / md . Afterwards, samples were placed in the muffle furnace for 2 hours at 430 °C within their aluminium trays, and placed again in the exsiccator for 60 min. Samples were re-weighed to determine the new dry weight (mgl) to calculate loss on ignition (LOI, [%]) using LOI = ((md – mgl) / md ) * 100 . Values of pH were measured according to DIN ISO 10390. Therefore, soil samples were weighed in pre-weighed Falcon™ 50 mL conical centrifuge tubes. Sediment samples were homogenized using a pestle. Ultrapure water was used to measure pH directly within the tubes using a HQ40D digital two channel multi meter and an Intellical PHC101 field low maintenance gel filled pH electrode (Hach Lange GmbH, Germany). The pH electrode was calibrated before measurement using singlet pH buffer sets (pH 4.01, 7.00, 10.01) for single use (Hach Lange GmbH, Germany). Post-processing of measured values were done using MATLAB (R2018a). Quality control was performed by (a) visually checks, and hence (b) the classification into quality control flags using quality check algorithms.
    Keywords: BEFmate; BEFmate_C1low; BEFmate_C1pio; BEFmate_C1upp; BEFmate_C2low; BEFmate_C2pio; BEFmate_C2upp; BEFmate_C3low; BEFmate_C3pio; BEFmate_C3upp; BEFmate_C4low; BEFmate_C4pio; BEFmate_C4upp; BEFmate_C5low; BEFmate_C5pio; BEFmate_C5upp; BEFmate_C6low; BEFmate_C6pio; BEFmate_C6upp; BEFmate_I10low; BEFmate_I10pio; BEFmate_I10upp; BEFmate_I11low; BEFmate_I11pio; BEFmate_I11upp; BEFmate_I12low; BEFmate_I12pio; BEFmate_I12upp; BEFmate_I1low; BEFmate_I1pio; BEFmate_I1upp; BEFmate_I2low; BEFmate_I2pio; BEFmate_I2upp; BEFmate_I3low; BEFmate_I3pio; BEFmate_I3upp; BEFmate_I4low; BEFmate_I4pio; BEFmate_I4upp; BEFmate_I5low; BEFmate_I5pio; BEFmate_I5upp; BEFmate_I6low; BEFmate_I6pio; BEFmate_I6upp; BEFmate_I7low; BEFmate_I7pio; BEFmate_I7upp; BEFmate_I8low; BEFmate_I8pio; BEFmate_I8upp; BEFmate_I9low; BEFmate_I9pio; BEFmate_I9upp; BEFmate_S10low; BEFmate_S10pio; BEFmate_S10upp; BEFmate_S11low; BEFmate_S11pio; BEFmate_S11upp; BEFmate_S12low; BEFmate_S12pio; BEFmate_S12upp; BEFmate_S1low; BEFmate_S1pio; BEFmate_S1upp; BEFmate_S2low; BEFmate_S2pio; BEFmate_S2upp; BEFmate_S3low; BEFmate_S3pio; BEFmate_S3upp; BEFmate_S4low; BEFmate_S4pio; BEFmate_S4upp; BEFmate_S5low; BEFmate_S5pio; BEFmate_S5upp; BEFmate_S6low; BEFmate_S6pio; BEFmate_S6upp; BEFmate_S7low; BEFmate_S7pio; BEFmate_S7upp; BEFmate_S8low; BEFmate_S8pio; BEFmate_S8upp; BEFmate_S9low; BEFmate_S9pio; BEFmate_S9upp; BEFmate_Watt; biodiversity - ecosystem functioning; Calculated; DATE/TIME; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; DynaCom; ELEVATION; Event label; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; LATITUDE; LONGITUDE; loss on ignition; Loss on ignition; Metacommunity; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; pH; Plot; Portable 2-channel multimeter, Hach, HQ40D; Quality flag, loss on ignition; Quality flag, pH; Quality flag, water content; salt marsh; Sample ID; Sampling date; SCO; Spiekeroog; Spiekeroog Coastal Observatory; water content; Water content, relative
    Type: Dataset
    Format: text/tab-separated-values, 11310 data points
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  • 5
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    Stable isotope and trace element data covering 46.2-15.5 ka BP from stalagmite PR-LA-1 (Cueva Larga, Puerto Rico) (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: AGE; Aluminium/Calcium ratio; Barium/Calcium ratio; Cueva Larga, Puerto Rico; DISTANCE; Isotope ratio mass spectrometer (IRMS) with a GasBench; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; Magnesium/Calcium ratio; Phosphorus/Calcium ratio; PR-LA-1; Sample ID; speleothem; Speleothem sample; SPS; Stable isotopes; Strontium/Calcium ratio; Thorium/Calcium ratio; trace elements; Uranium/Calcium ratio; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 20317 data points
    Location Call Number Expected Availability
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  • 6
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    Bulk total organic carbon content and its isotope composition and biomarker data of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. The acquired data includes: 1) Sediment data: Bulk total organic carbon content (Lamping et al., 2021) and its isotopic values for 13C (Brodie et al., 2011; Werner & Brand, 2001) and 14C (Mollenhauer et al., 2021). 2) Biomarker data: Quantifying alkanes (CPI) , and fatty acids (TAR ratio) as described by Wei et al. (2020), Glycerol dialkyl glycerol tetraethers (GDGTs basis for BIT-Index) after Hopmans et al. (2016), Hopanes (fßß) following instructions by Meyer et al., (2019), and Sterols (Dinosterol) after Dauner et al. (2022).
    Keywords: 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, standard deviation; AWI Arctic Land Expedition; Branched and isoprenoid tetraether index; Branched and isoprenoid tetraether index, standard deviation; C31 beta beta R homohopane relative to diagenetic isomers, fractional abundance; C31 beta beta R homohopane relative to diagenetic isomers, fractional abundance, standard deviation; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_7; Carbon, organic, total; Carbon, organic, total, standard deviation; Carbon Preference Index; Carbon Preference Index, standard deviation; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Sample ID; Terrigenous/aquatic ratio; Terrigenous/aquatic ratio, standard deviation; YC22_MR_7; Yukon Coast 2022; δ13C, total organic carbon; δ13C, total organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 350 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Radiogenic Sr, Nd and Pb isotope compositions and REE concentrations for North African soil samples from the literature (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: Area/locality; Atlantic dust transport; Cerium; Dysprosium; Erbium; Europium; Europium anomaly; Event label; From literature; Gadolinium; Holmium; isotope fingerprinting; Lanthanum; Latitude of event; Lead-206/Lead-204 ratio; Lead-206/Lead-204 ratio, standard error; Lead-207/Lead-204 ratio; Lead-207/Lead-204 ratio, standard error; Lead-208/Lead-204 ratio; Lead-208/Lead-204 ratio, standard error; Location; Longitude of event; Lutetium; mineral dust provenance; Neodymium; North African soils; Praseodymium; PSA_BD_34BOT25; PSA_BD_BEG1; PSA_BD_BEG2; PSA_BD_BEG3; PSA_BD_Bod_43.5; PSA_BD_Bod_44; PSA_BD_Bod_44B; PSA_BD_Bod_44C; PSA_BD_Bod_44D; PSA_BD_Bod_51; PSA_BD_Bod_54A; PSA_BD_BOD1; PSA_BD_Bod54B; PSA_BD_BODI; PSA_BD_BODU; PSA_BD_CH17; PSA_BD_CH34; PSA_BD_CH38; PSA_BD_CH39; PSA_BD_CH50; PSA_BD_CH56; PSA_BD_CH62; PSA_BD_CH75; PSA_BD_EN1; PSA_BD_EN12; PSA_BD_EN13; PSA_BD_EN14; PSA_BD_EN15; PSA_BD_EN2; PSA_BD_EN3; PSA_BD_EN4; PSA_BD_EN5; PSA_BD_EN6; PSA_BD_EN7; PSA_BD_EN8; PSA_BD_EN9; PSA_BD_Faya_Largeau_bulk; PSA_BD_Faya_Largeau_residue; PSA_BD_Harmattan_bulk; PSA_BD_Harmattan_residue; PSA_BD_M_bulk; PSA_BD_M_residue; PSA_BD_NPS_bulk; PSA_BD_NPS_residue; PSA_BD_R_bulk; PSA_BD_RIVER1; PSA_BD_RIVER2; PSA_LAM_Lybia; PSA_LAM_N05; PSA_LAM_N19; PSA_LAM_N26; PSA_LAM_N35; PSA_LAM_N36; PSA_LAM_Tunisia; PSA_LE_Assouan_bank; PSA_LE_Assouan_island; PSA_LE_EGP11A; PSA_LE_EGP12A; PSA_LE_EGP13A; PSA_LE_EGP14A; PSA_LE_EGP15A; PSA_LE_EGP16A; PSA_LE_EGP18A; PSA_LE_EGP20A; PSA_LE_EGP21A; PSA_LE_EGP27A; PSA_LE_EGP28A; PSA_LE_EGP29A; PSA_LE_EGP2A; PSA_LE_Egypt#1; PSA_LE_Egypt#2; PSA_LE_LIB1; PSA_LE_SD1; PSA_LE_SD10; PSA_LE_SD2; PSA_LE_SD3; PSA_LE_SD4; PSA_LE_SD6; PSA_LE_SD7; PSA_LE_SD8; PSA_LE_SD9; PSA_Ma_Atar; PSA_Ma_Elm; PSA_Ma_Erg; PSA_Ma_Est; PSA_Ma_Foum; PSA_Ma_Kay; PSA_Ma_Kif; PSA_Ma_Mauritania; PSA_Ma_Nou; PSA_Ma_Smara; PSA_Ma_Tamba; PSA_Ma_Tich; PSA_Ma_Wouerat; PSA_MC_AGF; PSA_MC_SAHEL10A; PSA_MC_SAHEL11A; PSA_MC_SAHEL12A; PSA_MC_SAHEL13A; PSA_MC_SAHEL14A; PSA_MC_SAHEL15A; PSA_MC_SAHEL17A; PSA_MC_SAHEL19A; PSA_MC_SAHEL1A; PSA_MC_SAHEL1A_1; PSA_MC_SAHEL1A_2; PSA_MC_SAHEL2A; PSA_MC_SAHEL3A; PSA_MC_SAHEL4A; PSA_MC_SAHEL6A; PSA_MC_SAHEL7A; PSA_MC_SAHEL8A; PSA_MC_SAHEL9A; PSA_Non_rep_LOME10A; PSA_Non_rep_LOME14A; PSA_Non_rep_LOME18A; PSA_Non_rep_LOME1A; PSA_Non_rep_LOME24A; PSA_Non_rep_LOME2A; PSA_Non_rep_LOME4A; PSA_Non_rep_LOME5A; PSA_Non_rep_LOME8A; PSA_WAC_Akjoujt; PSA_WAC_Elra; PSA_WAC_EM; PSA_WAC_Foun; PSA_WAC_IR; PSA_WAC_JB; PSA_WAC_Jraif; PSA_WAC_Lab; PSA_WAC_Mali_Kati; PSA_WAC_MHAMID18; PSA_WAC_MHAMID19; PSA_WAC_MORO10A; PSA_WAC_MORO14A; PSA_WAC_MORO15A; PSA_WAC_MORO16A; PSA_WAC_MORO18A; PSA_WAC_MORO1A; PSA_WAC_MORO20A; PSA_WAC_MORO21A; PSA_WAC_MORO22A; PSA_WAC_MORO23A; PSA_WAC_MORO25B; PSA_WAC_MORO26A; PSA_WAC_MORO27A; PSA_WAC_MORO28A; PSA_WAC_MORO29; PSA_WAC_MORO3A; PSA_WAC_MORO5A; PSA_WAC_MORO6A; PSA_WAC_MORO7A; PSA_WAC_MORO8A; PSA_WAC_Ouj; PSA_WAC_PNBA; PSA_WAC_Ro; PSA_WAC_Sen_Riv; PSA_WAC_Til; PSA_WAC_TL; PSA_WAC_ZAG1; PSA_WAC_ZAG2; rare-earth element pattern; Reference/source; Sahara-Sahel region; Samarium; Sample ID; Sample type; SOILS; Soil sample; Sr-Nd-Pb radiogenic isotopes; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard error; Terbium; Thulium; Ytterbium; ε-Neodymium; ε-Neodymium, standard error
    Type: Dataset
    Format: text/tab-separated-values, 1813 data points
    Location Call Number Expected Availability
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  • 8
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    Tie points for manual alignment of the benthic foraminiferal δ¹⁸O record at ODP Sites 980/981 to LR04 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset presents user-defined tiepoints of the manual alignment of the benthic foraminiferal δ¹⁸O record at ODP Site 980 and 981 to the benthic foraminiferal LR04 δ¹⁸O stack of Lisiecki and Raymo (2005) obtained by Middleton et al. (2024). The benthic foraminiferal δ¹⁸O record at ODP 980 is based on Cibicidoides wuellerstorfi and Cibicides kullenbergi, and was previously published (McManus et al., 1999; Flower et al., 2000; Oppo et al., 1998). The ODP Site 981 data were measured on benthic foraminifera of the genus Cibicidoides (Raymo et al., 2004). The benthic foraminiferal δ¹⁸O records of ODP Site 980 and 981 were spliced together at ~860 ka (Raymo et al., 2004).
    Keywords: 162-980; 162-981; AGE; COMPCORE; Composite Core; DEPTH, sediment/rock; Event label; Joides Resolution; Leg162; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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    DATA PANGAEA
  • 9
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    Tie points for manual alignment of the benthic foraminiferal δ¹⁸O record at ODP Site 1090 to LR04 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset presents user-defined tiepoints of the manual alignment of the benthic foraminiferal δ¹⁸O record at ODP Site 1090 to the benthic foraminiferal LR04 δ¹⁸O stack of Lisiecki and Raymo (2005) obtained by Middleton et al. (2024). The benthic foraminiferal δ¹⁸O record is based on Cibicidoides wuellerstorfi and was previously published in Hodell et al. (2000) and Venz and Hodell (2002).
    Keywords: 177-1090; AGE; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg177; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
    Location Call Number Expected Availability
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  • 10
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    Trace elements, stable isotopes and rare earth elements in ostracod valves from sediment cores from Lake Nam Co and Tangra Yumco, Tibetan Plateau (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: High-resolution multi-proxy records from two lakes on the southern Tibetan Plateau, Nam Co and Tangra Yumco, are used to infer long-term variations in the Asian monsoon system. We examine the moisture evolution during the Late Glacial Maximum and Holocene using the trace element and stable isotope composition of ostracod shells. The sediment records covering the past 24 cal. ka BP and 18 cal. ka BP, respectively, demonstrate the suitability of ostracod shell chemistry as paleoenvironmental proxy. We analysed (i) Mg/Ca, Ba/Ca and Sr/Ca ratios as salinity proxies, (ii) Fe/Ca, Mn/Ca and U/Ca ratios representing redox conditions and microbial activity, and (iii) rare earth elements (REEs) reflecting weathering and changes in provenance.
    Keywords: Ostracoda; Paleoclimate; Paleolimnology; Rare earth elements; Stable carbon and oxygen isotopes; trace elements ratio
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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  • 11
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    Benthic foraminiferal δ¹⁸O alignments for IODP Site U1541, ODP Site 1090 and ODP Site 980-981 based on different tuning targets for the past ~3.5 Myr (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies for International Ocean Discovery Program (IODP) Site U1541, Ocean Drilling Program (ODP) Site 1090 and ODP Site 980-981 based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) obtained by Middleton et al. (2024). The benthic foraminiferal δ¹⁸O record for IODP Site U1541 (54°13'S, 125°25'W) recently recovered from the central South Pacific on IODP Expedition 383 (Winckler et al., 2021) is shown for the first time and is published in Middleton et al. (2024). All data records are based on Cibicidoides wuellerstorfi and Cibicides kullenbergi, or combinations thereof. The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 3.5 Myr (Middleton et al., 2024).
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 12
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    Biogeochemical data of sediment cores of Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment cores were taken at three locations, off the coast of Herschel Island, Canada, using a hand corer: YC22_MR_6: 69°34'23.12N, 138°54'37.76W; 3 m water depth; July 6th 2022 YC22_MR_7: 69°34'23.53N, 138°56'37.66W, 6 m water depth; July 7th 2022 YC22_MR_8: 69°30'22.75''N, 138°53'21.69''W; 45 m water depth; July 24th 2022 Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. The acquired data includes: 1) Sediment data: Bulk total organic carbon content (Lamping et al., 2021) and its isotopic values for 13C (Brodie et al., 2011; Werner & Brand, 2001) and 14C (Mollenhauer et al., 2021) and Biomarker data: Quantifying alkanes (CPI) , and fatty acids (TAR ratio) as described by Wei et al. (2020), Glycerol dialkyl glycerol tetraethers (GDGTs basis for BIT-Index) after Hopmans et al. (2016), Hopanes (fßß) following instructions by Meyer et al., (2019), and Sterols (Dinosterol) after Dauner et al. (2022). 2) Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021). 3) Intact polar lipid fatty acids were extracted from the sediments, purified, and 14C analysis was performed as described in Ruben et al. (2023). The 13C isotopy was determined with GC-IRMS (Elvert et al., 2003). The respective precursor lipids of the polar fraction used for isotope analysis were quantified following the method described in Wörmer et al. (2013). Datasets are to be found at doi:10.1594/PANGAEA.966262 and doi:/10.1594/PANGAEA.966264. 4) Sedimentary age model of core YC22_MR_7 assuming constant rate of supply (CRS) model (Appleby, 2001), based on data obtained with a HPGe gamma detector.
    Keywords: NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 13
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    Stable isotope, trace element and radiometric dating data covering 46.2-15.5 ka BP from stalagmite PR-LA-1 (Cueva Larga, Puerto Rico) (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: We present results of Th/U dating, stable isotope and trace element data from a speleothem from Puerto Rico. Th/U dating was performed using isotope dilution MC-ICPMS. Activity ratios were corrected for initial Th assuming an detrital weight ratio 232Th/238U = 0.154 ± 0.038 (corresponding to an activity ratio of the detritus in secular equilibrium of (230Th/232Th)detr = 19.79 ± 4.93), and secular equilibrium of the detritus. Ages are calculated using the decay constants by Cheng et al. (2000)). Uncertainties are given as 2σ- range, and do not include half-life uncertainties. Th/U dating shows that stalagmite PR-LA-1 covers the period from 15.4 to 46.2 ka with a growth interruption between 35.5 and 41.1 ka. Stable isotope samples were drilled with a spatial resolution of 1 mm and measured using an IRMS equipped with a Gasbench. Element/Calcium ratios of the speleothem were measured by laser ablation ICPMS and were reduced to the resolution of the stable isotope records.
    Keywords: speleothem; Stable isotopes; trace elements
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 14
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    Stable isotopes covering 96-7 ka BP from stalagmite CM (Santo Tomas Cave, Cuba) (2020)
    PANGAEA
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    Publication Date: 2024-06-01
    Description: We present a new speleothem trace element and stable isotope record, which extends previous paleoclimate evidence from Cuban speleothems to the last 96 ka. Stable isotope samples were micromilled at a resolution of 0.10-0.33mm, and measured using an IRMS equipped with a Gasbench. Line scans of Element/Calcium ratios of the speleothem were measured by laser ablation ICPMS and were reduced to the resolution of the stable isotope records.
    Keywords: AGE; Central America; Mass spectrometer DeltaPlusXL coupled to a Gasbench II; paleoclimatology; Santo Tomas Cave, Cuba; speleothem; Speleothem sample; SPS; Stable isotopes; Stalagmite Cuba Medio; STC-CM; δ13C, stacked; δ18O, stacked
    Type: Dataset
    Format: text/tab-separated-values, 3568 data points
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  • 15
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    Trace element data covering 96-7 ka BP from stalagmite CM (Santo Tomas Cave, Cuba) (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: We present a new speleothem trace element and stable isotope record, which extends previous paleoclimate evidence from Cuban speleothems to the last 96 ka. Stable isotope samples were micromilled at a resolution of 0.10-0.33mm, and measured using an IRMS equipped with a Gasbench. Line scans of Element/Calcium ratios of the speleothem were measured by laser ablation ICPMS and were reduced to the resolution of the stable isotope records.
    Keywords: AGE; Barium/Calcium ratio; Central America; Laser-ablation inductively coupled plasma sector field mass spectrometer (LA-ICP-SF-MS); Magnesium/Calcium ratio; paleoclimatology; Phosphorus/Calcium ratio; Santo Tomas Cave, Cuba; speleothem; Speleothem sample; SPS; Stalagmite Cuba Medio; STC-CM; Strontium/Calcium ratio; trace elements; Uranium/Calcium ratio
    Type: Dataset
    Format: text/tab-separated-values, 11205 data points
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  • 16
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    Time resolved trace element–to–calcium values measured with Laser ablation ICP-MS along lines of coral colony A to D (Porites lobata and Porites lichen) cultured with different metal concentrations (2021)
    PANGAEA
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    Publication Date: 2024-06-01
    Description: Culturing experiments exposed the scleractinian corals Porites lobata and Porites lichen to a mixture of dissolved chromium (Cr), manganese (Mn), nickel (Ni), copper (Cu), zinc (Zn), silver (Ag), cadmium (Cd), tin (Sn), mercury (Hg) and lead (Pb) in a wide concentration range for a period of more than a year. The aim was to examine whether the incorporation of heavy metals into the aragonitic skeleton of the corals is a direct function of their concentration in seawater. Therefore, the trace-element-to-calcium ratio (TE/Ca) in the coral aragonite precipitated during culturing was measured by Laser ablation ICP-MS in 2020. The measurement showed that all metals used here were measureable in the coral skeleton and only minor, non-systematic intra- and interspecies differences in the trace metal concentrations was found. A positive correlation between the TE/Ca values and the coral skeleton was found for Cr, Mn, Ni, Zn, Ag, Cd and Pb. Cu, Sn and Hg did not show any clear trend. This dataset shows time resolved trace element-to-calcium values of coral colonies A to D cultured in the metal system along the measured Laser ablation ICP-MS scanning lines (Line XY stands for different Laser ablation lines measured at different positions at one respective coral colony) and values derived from the composite lines. Measurements were carried out from the top of the coral to the bottom and the distance starting from the top is indicated as “Elapse Time”. The energy density of the laser was set to 10 J/cm3, the laser spot size was 120 µm diameter and the stage moved 50 µm/s. Prior to every scan, a preablation pass with a spot size of 160 µm diameter was carried out to clean the cut surface of the coral skeleton. Culturing experiments were configured with two identically experimental aquaria. Four different coral colonies and two different species were used (Porites lobate Coral A-C, Porites lichen Coral D). All colonies were divided into subcolonies and growth control was performed with Alizarin Red S prior and during the experiment. One subcolony was placed in each experimental tank. The control aquarium remained unmodified while the trace metal concentration in the metal aquarium was elevated stepwise (Phase 1-4, Phase 1 = lowest metal concentration). The trace metal concentration in both tanks was monitored during the culturing period. After the experiment and more than 15 months later, specimens were cut again and the trace metal concentration in the coral skeleton was determined. It should be noted that coral D died 2.5 weeks after the exposure to the highest metal concentration in phase 4. TE/Ca values are processes as followed: (1) Time resolves raw intensities (in counts per seconds) for all isotopes measured were processed with the software Iolite (Version 4). The determination of element/Ca ratios was performed after the method of Rosenthal et al. (1999). High values of 25Mg, 27Al or 55Mn at the beginning of an ablation profile were related to contamination on the surface of the coral or remains of organic matter and these parts of the profiles were excluded from further data processing. (2) The NIST SRM 612 glass (Jochum et al., 2011) was used for monitoring and correction of the instrument drift. (3) The detection limit was defined by 3.3*SD of the gas blank in counts per seconds for every element in the raw data. Only values above this limit were used for further analyses and no data below the LOQ (limit of quantification = 10*SD) were interpreted. After processing the data with Iolite, an outlier detection of the TE/Ca ratios of the samples was performed. If trace metal values from deviated more than ±2SD from the average of the samples from the corresponding culturing phase, values were defined as outliers and discarded. (4) A composite line was calculated individually for all colonies consisting of the laser ablation measurements along the main growth axis of the coral (coral A line 1-3, coral B line 1-3, coral C line 2 + 3, coral D line 1). Laser ablation measurements along lines that were deviating from the main growth axis of the coral were not taken into account. Calculations were performed with QAnalyseries (Kotov and Paelike, 2018).
    Keywords: Argentum/Calcium ratio; Cadmium/Calcium ratio; Chromium/Calcium ratio; Copper/Calcium ratio; Coral; culture experiment; Elapsed time; Experiment; heavy metals; Laser Ablation; Laser ablation, ICP-MS; Lead/Calcium ratio; Magnesium/Calcium ratio; Manganese/Calcium ratio; Mercury/Calcium ratio; Nickel/Calcium ratio; Phase; Porites; Strontium/Calcium ratio; Tin/Calcium ratio; trace elements; Zinc/Calcium ratio
    Type: Dataset
    Format: text/tab-separated-values, 836360 data points
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  • 17
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    Analyses on Cibicidoides wuellerstorfi from ODP Hole 165-999A (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: For trace element analyses, single specimens of C. wuellerstorfi have been analyzed using femtosecond laser ablation inductively coupled plasma mass spectrometry (fs-LA-ICP131 MS) at the Geochemistry Laboratory at the Max Planck Institute for Chemistry. Na, Mg, and Sr of 142 specimens of C. wuellerstorfi have been measured at high-resolution on (up to) each of the final five chambers to eliminate possible inaccuracies that are likely to be caused by varying sample size. The fs-LA-ICP-MS analyses were performed on 25-μm diameter spots on each chamber with a pulse repetition rate of 15 Hz at low fluence (0.1-0.3 J/cm2). Calibration was performed with the microanalytical synthetic reference material MACS‐3 for carbonate and NIST612 for silica. Average values of all chambers analyzed in the same specimen were used for further analyses. Since foraminifers from different regions show particular offsets in the Mg/Ca composition of their shell, depending on region specific temperature ranges of ambient seawater, region-specific formulas are used. We have applied the formula Mg/Ca=0.82e^0.19*BWT of Tisserand et al. (2013) from samples collected from similar geographic situations to avoid offsets. The formula has been applied to calculate temperature variability of each analyzed chamber. The average value obtained from chamber-to-chamber temperature variability of each specimen has been applied as average temperature data of the entire test.
    Keywords: 165-999A; Caribbean Sea; Cibicidoides wuellerstorfi, Magnesium/Calcium ratio; Cibicidoides wuellerstorfi, Sodium/Calcium ratio; Cibicidoides wuellerstorfi, Strontium/Calcium ratio; DRILL; Drilling/drill rig; Joides Resolution; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; Leg165; Sample code/label; Sample ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3701 data points
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  • 18
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    Occurrence of Globorotalia cavernula in the water column and sediments: global compilation of sightings and abundances (2024)
    PANGAEA
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    Publication Date: 2024-06-01
    Description: Here, we present a global compilation of previously reported sightings of the rare planktic foraminifer Globorotalia cavernula Bé, 1967 as well as new observations of live-collected specimens from the Southern Ocean (Subantarctic south of Africa). The goal of this synthesis is to provide the geographic and stratigraphic context needed to investigate the past and present-day distributions of this rare but possibly under-recognized species. The previous records include modern occurrences in the water column (collected by plankton net tows and a single sediment trap) and seafloor sediments ranging in age from recent to Eocene. Seafloor sediment samples were collected by dredge, sediment grabs and core-tops. Deeper sediments came from drilling cores. Existing databases provided a foundation for this compilation, particularly ForCenS for surface sediments (Siccha & Kucera, 2017) and FORCIS for water-column collections (de Garidel-Thoron et al., 2022; Chaabane et al., 2022, 2023). These records were supplemented with occurrences from the literature, PANGEA, and cruise reports of the Deep Sea Drilling Project (DSDP) / Ocean Drilling Program (ODP). Searches were conducted in October 2022 using Google Scholar, GBIF, EOL (Encyclopedia of Life, "http://eol.org", which includes records from the Smithsonian NMNH). Where available, we include information on the abundance of G. cavernula in each collection, and indicate whether photographic evidence (or drawings) could be found to support the identification. Globorotalia crozetensis Thompson, 1973 (reclassified as G. cavernula by Brummer & Kučera, 2022) and closely related Globorotalia petaliformis Boltovskoy, 1974 were also included in compilation.
    Keywords: 15-147; 154-925; 164-997A; 180-1108B; 26-253; 26-254; 26-258A; 2803; 2804; 29-284; 40-362A; 49-411A; 49-412; 54-423; 54-424; 54-425; 73-519; Abundance; abundance data; Abundance per volume; Age, comment; Antarctic Ocean/Tasman Sea/PLATEAU; ATLANTIS_II_cruise31_36; Author(s); Be67_EL_10-1-130; Be67_EL_10-1-131; Be67_EL_10-19-186; Be67_EL_10-19-187; Be67_EL_10-20-190; Be67_EL_10-2-133; Be67_EL_10-24-208; Be67_EL_10-28-219; Be67_EL_10-29-221; Be67_EL_10-31-225; Be67_EL_10-31-226; Be67_EL_10-31-227; Be67_EL_10-3-136; Be67_EL_10-32-230; Be67_EL_10-4-139; Be67_EL_10-5-141; Be67_EL_11-5-249; Be67_EL_13-1-443; Be67_EL_13-2-449; Be67_EL_13-3-456; Be67_EL_13-6-474; Be67_EL_14-4-594; Be67_EL_15-17-806; Be67_EL_15-23-843; Be67_EL_15-26-864; Be67_EL_15-5-751; Be67_EL_15-5-752; Be67_EL_17-34-1112; Be67_EL_18-1-1137; Be67_EL_18-2-1138; Be67_EL_18-3-1150; Be67_EL_19-1171; Be67_EL_19-13-1233; Be67_RC9_80; Be67_RC9_92; Be67_V16_202; BOFS31/1K; BOFS31#1; Caribbean Sea/RIDGE; CD53; Charles Darwin; Closing Discovery net, Manufacturer unknown, N70V; Comment; COMPCORE; Composite Core; Core tops; CP_trap; Cruise/expedition; Depth, description; Disc2_1951_2803; Disc2_1951_2804; DRILL; Drilling/drill rig; EL 10-1-130; EL 10-1-131; EL 10-19-186; EL 10-19-187; EL 10-20-190; EL 10-2-133; EL 10-24-208; EL 10-28-219; EL 10-29-221; EL 10-31-225; EL 10-31-226; EL 10-31-227; EL 10-3-136; EL 10-32-230; EL 10-4-139; EL 10-5-141; EL 11-5-249; EL 13-1-443; EL 13-2-449; EL 13-3-456; EL 13-6-474; EL 14-4-594; EL 15-17-806; EL 15-23-843; EL 15-26-864; EL 15-5-751; EL 15-5-752; EL 17-34-1112; EL 18-1-1137; EL 18-2-1138; EL 18-3-1150; EL 19-1171; EL 19-13-1233; ELT10; ELT11; ELT13; ELT14; ELT15; ELT17; ELT18; ELT19; Eltanin; Event label; GeoB1728-3; Giant box corer; GIK15612-2; GIK15637-1; GIK15667-1; GIK15669-2; GIK15672-2; GIK17933-2; GKG; Globorotalia cavernula; Globorotalia crozetensis; Globorotalia petaliformis; Glomar Challenger; Gravity corer (Kiel type); Hayward86_station17; Indian Ocean//PLATEAU; Indian Ocean//RIDGE; Joides Resolution; KAL; Kasten corer; Knorr73_MOC131; KOL; LATITUDE; Leg15; Leg154; Leg164; Leg180; Leg26; Leg29; Leg40; Leg49; Leg54; Leg73; LONGITUDE; M20/2; M35/1; M35027-1; M53; M53_167; M53_169; M53_172-1; M57; M6; M9; Meteor (1964); Meteor (1986); MOC; MOCNESS opening/closing plankton net; MONITOR MONSUN; Namibia Continental Margin; net tows; Nicaraguan Rise, North Atlantic Ocean; North Atlantic; North Atlantic/BASIN; North Atlantic/FRACTURE ZONE; Northeast Atlantic; North Pacific/MOUND; North Pacific/SEDIMENT POND; Number of specimens; occurrence data; Ocean and sea region; off West Africa; Optional event label; PC; Persistent Identifier; Piston corer; Piston corer (Kiel type); PLA; planktic foraminifera; Plankton net; R/V_Knorr_73_MOC131; RC08; RC08-39; RC 9-80; RC 9-92; Reference/source; Robert Conrad; S. A. Agulhas II; Sample method; Sediment cores; Sediment sample; SES; Site; SL; SO95; Solomon Sea; Sonne; South Atlantic/RIDGE; South Atlantic Ocean; South China Sea; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); station 17; Trap; TRAP; Uniform resource locator/link to reference; V16; V 16-202; van Veen Grab; Vema; VGRAB; VOY016; VOY016_W2; VOY016_W3; VOY019; VOY019_M6; VOY019_M9; W2; W3
    Type: Dataset
    Format: text/tab-separated-values, 1061 data points
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  • 19
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    Untargeted 1H‐NMR based metabolic profiling of liver and muscle tissue of juvenile turbot (Scophthalmus maximus) fed with emerging protein sources (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This study examined the metabolic 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 metabolic response of the fish, a 1H‐nuclear magnetic resonance (NMR) spectroscopy was used to assess the metabolic profiles of muscle and liver tissue after feeding the fish the experimental diets for 16 weeks. Feed, muscle, and liver samples were ground under liquid nitrogen and approx. 200–250 mg tissue was homogenized in 5x volume of ice‐cold 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, Montigny‐le‐Bretonneux, France), samples were sonicated for 2 min at 0 °C and 360 W (Branson Sonifier 450, FisherScientific, Schwerte, Germany). Homogenates of the experimental diets, muscle and liver tissues were centrifuged for 2 min at 0 °C and 16,000 g, and supernatants were neutralized with ice cold potassium hydroxide (KOH) and PCA to pH 7.0–7.5. To remove precipitated potassium, perchlorate samples were centrifuged again for 2 min at 0 °C and 16,000 g. The entire supernatant was transferred, shock‐ frozen in liquid nitrogen, and stored an −80 °C for later analysis. One‐dimensional 1H‐NMR spectra for feed and tissues extracts were acquired using a vertical 9.4 T wide bore magnet with Avance III HD (Bruker‐GmbH, Ettlingen, Germany) at 400.13 MHz with a 1.7 mm diameter triple tuned (1H‐13C‐15N) probe. Each spectrum was processed and analyzed with Chenomx NMR Suite 8.4 software (Chenomx Inc., Edmonton, Canada). Before analyzing, the spectra were corrected for phase, shim and baseline and calibrated to trymethylsilyl proprionate (TSP) signal (at 0.0 ppm).
    Keywords: Acetate; Adenine; Adenosine diphosphate; Adenosine monophosphate; Adenosine triphosphate; Alanine; Analysis; Analysis date/time, experiment; Anserine; Arginine; Aspartate; betaine; Betaine; by-product; Carnitine; Choline; Creatine; Creatine phosphate; Creatinine; D-Glucose 6-phosphate; Dimethylamine; Dimethyl sulfone; Experiment; Experiment number; Formate; Fumarate; Glutamate; Glutamine; Glycine; Identification; insect meal; Isoleucine; Laboratory experiment; Lactate; Leucine; Location; Malonate; Material; Methionine; Method comment; N,N-Dimethylglycine; Nuclear magnetic resonance spectrometer (NMR), Bruker, Avance III HD 400; O-Phosphocholine; Proline; Sample, optional label/labor no; Sample ID; Sampling date/time, experiment; Sarcosine; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Succinate; Tank number; Taurine; Threonine; Time point, descriptive; TMAO; Treatment; Trimethylamine N-oxide; Type of study; Valine
    Type: Dataset
    Format: text/tab-separated-values, 6200 data points
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  • 20
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    Presence-absence records for four cold-water coral taxa on the seamounts of Cabo Verde (NW Africa) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: Presence-absence records for four cold-water coral (CWC) taxa (Enallopsammia rostrata, Acanella arbuscula, Metallogorgia spp. and Paramuricea spp.) were gathered to conduct distribution models on seamounts (Cadamosto, Nola, Senghor and Cabo Verde) of the Cabo Verde archipelago (NW Africa), covering a bathymetric range from 2100 to 750 m water depth. Data were extracted from video footage collected with Remotely Operated Vehicles during the M80/3 Meteor (2010) and the iMirabilis2 (2021) research expeditions. Video data from the iMirabilis2 expedition was analysed, quantitively, using the open-source software BIIGLE (Langenkämper et al. 2017). Observations from five continuous 1 to 2 km-long video transects between 2000 and 1400 m depth at Cadamosto Seamount were converted into presence-absence data points. Similar data were not available for the seamounts explored during M80/3 Meteor. However, all the available images and short video clips from that expedition were analysed to identify presence and absence points for each of the four target CWC taxa. All the available presence/absence data from the two expeditions was transformed into one point per grid cell of a 100 m resolution bathymetry grid, with the prevalence of the presence records over the absence records, in grid cells where both categories overlapped.
    Keywords: Atlantic Ocean; Binary Object; Binary Object (File Size); Binary Object (Media Type); Cabo Verde; Cadamosto Seamount, Cabo Verde; Cape Verde; cold-water coral; Cruise/expedition; DATE/TIME; Deep-sea; distribution modelling; Event label; File content; Genus; Horizontal datum; iAtlantic; iMirabilis2_Leg1; iMirabilis2_Leg1_24; iMirabilis2_Leg1_46; iMirabilis2_Leg1_55; iMirabilis2_Leg1_64; iMirabilis2_Leg1_75; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; LATITUDE; Latitude, northbound; Latitude, southbound; Location; LONGITUDE; Longitude, eastbound; Longitude, westbound; M80/3; M80/3_10; M80/3_100; M80/3_33; M80/3_35; M80/3_7; M80/3_84; Meteor (1986); Presence/absence; Remote operated vehicle; ROV; ROV Luso; Sarmiento de Gamboa; Species; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vertical datum; VIDEO; Video camera
    Type: Dataset
    Format: text/tab-separated-values, 10855 data points
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  • 21
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    Pore-water salinity measurements in surface sediments within DynaCom experimental islands and saltmarsh enclosed plots at different elevation levels, Spiekeroog, Germany, 2022-01 to 2022-11 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: Data presented here were collected between January 2022 to November 2022 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Sediment samples for the determination of pore-water salinity were taken bi-/monthly in surface sediments (0-3 cm depth) of the experimental plots. Samples were stored dark and cool (8°C) until measurement. Samples were measured in the laboratory within two months after sampling according to DIN ISO 11265:1997-06. In the laboratory, sediment samples for the determination of pore-water salinity were weighed in pre-weighed Falcon™ 50 mL conical centrifuge tubes (10 g sediment on average, depending on sand content). After one month of air-drying samples were re-weighed to determine dry weight and therefore the loss in weight. Ultrapure water was added to the tubes and were homogenized using a pestle. Salinity was measured directly in the tubes with a HQ40D Digital two channel multi meter and a pre-calibrated Intellical CDC401 field 4-poles graphite conductivity cell (Hach Lange GmbH, Germany). Post-processing of measured values were done using MATLAB (R2018a). Quality control was performed by (a) visually checks, and hence (b) the classification into quality control flags using quality check algorithms
    Keywords: BEFmate; BEFmate_C1low; BEFmate_C1pio; BEFmate_C1upp; BEFmate_C2low; BEFmate_C2pio; BEFmate_C2upp; BEFmate_C3low; BEFmate_C3pio; BEFmate_C3upp; BEFmate_C4low; BEFmate_C4pio; BEFmate_C4upp; BEFmate_C5low; BEFmate_C5pio; BEFmate_C5upp; BEFmate_C6low; BEFmate_C6pio; BEFmate_C6upp; BEFmate_I10low; BEFmate_I10pio; BEFmate_I10upp; BEFmate_I11low; BEFmate_I11pio; BEFmate_I11upp; BEFmate_I12low; BEFmate_I12pio; BEFmate_I12upp; BEFmate_I1low; BEFmate_I1pio; BEFmate_I1upp; BEFmate_I2low; BEFmate_I2pio; BEFmate_I2upp; BEFmate_I3low; BEFmate_I3pio; BEFmate_I3upp; BEFmate_I4low; BEFmate_I4pio; BEFmate_I4upp; BEFmate_I5low; BEFmate_I5pio; BEFmate_I5upp; BEFmate_I6low; BEFmate_I6pio; BEFmate_I6upp; BEFmate_I7low; BEFmate_I7pio; BEFmate_I7upp; BEFmate_I8low; BEFmate_I8pio; BEFmate_I8upp; BEFmate_I9low; BEFmate_I9pio; BEFmate_I9upp; BEFmate_S10low; BEFmate_S10pio; BEFmate_S10upp; BEFmate_S11low; BEFmate_S11pio; BEFmate_S11upp; BEFmate_S12low; BEFmate_S12pio; BEFmate_S12upp; BEFmate_S1low; BEFmate_S1pio; BEFmate_S1upp; BEFmate_S2low; BEFmate_S2pio; BEFmate_S2upp; BEFmate_S3low; BEFmate_S3pio; BEFmate_S3upp; BEFmate_S4low; BEFmate_S4pio; BEFmate_S4upp; BEFmate_S5low; BEFmate_S5pio; BEFmate_S5upp; BEFmate_S6low; BEFmate_S6pio; BEFmate_S6upp; BEFmate_S7low; BEFmate_S7pio; BEFmate_S7upp; BEFmate_S8low; BEFmate_S8pio; BEFmate_S8upp; BEFmate_S9low; BEFmate_S9pio; BEFmate_S9upp; BEFmate_Watt; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; DynaCom; ELEVATION; Event label; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; LATITUDE; LONGITUDE; Metacommunity; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; Plot; pore-water salinity; Portable 2-channel multimeter, Hach, HQ40D; Quality flag, salinity; Salinity, porewater; salt marsh; Sample ID; Sampling date; SCO; Spiekeroog; Spiekeroog Coastal Observatory
    Type: Dataset
    Format: text/tab-separated-values, 7259 data points
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  • 22
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    Seismic processed data (Ocean Bottom Seismometer working area dataset) of RV POSEIDON during cruise POS515, Venere mud volcano, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data comprise processed active-source seismic data acquired with ocean bottom seismometer (OBS) data. The data were collected at Venere mud volcano during expedition POS515 with the research vessel POSEIDON (Riedel et al., 2017) in the Mediterranean Sea, Calabrian Arc offshore southern Italy (map under further details). The entire data set consists of 11 OBS stations. Seismic data were shot across the OBS along seven profiles. Each OBS consist of 4 channels (channel 1: hydrophone; channel 2: horizontal component 1; channel 3: horizontal component 2; channel 4: vertical component).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Calabrian accretionary prism; CALVADOS; Event label; File content; Mediterranean Sea, Eastern Basin; mud volcano; OBS; OBS V01; OBS V02; OBS V03; OBS V04; OBS V05; OBS V06; OBS V07; OBS V08; OBS V09; OBS V11; OBS V12; Ocean bottom seismometer; POS515; POS515_10-1; POS515_12-1; POS515_13-1; POS515_2-1; POS515_3-1; POS515_4-1; POS515_5-1; POS515_6-1; POS515_7-1; POS515_8-1; POS515_9-1; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 616 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 23
    facet.materialart.
    Unknown
    Continous seismic raw data (Ocean Bottom Seismometer working area dataset) of RV POSEIDON during cruise POS515, Venere mud volcano, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data comprise continuous records of seismic raw data acquired with ocean bottom seismometers (OBS). The data were collected at Venere mud volcano during expedition POS515 with the research vessel POSEIDON (Riedel et al., 2017) in the Mediterranean Sea, Calabrian Arc offshore southern Italy (map under further details). The entire data set consists of 11 OBS stations. Each OBS consist of 4 channels (channel 1: hydrophone; channel 2: horizontal component 1; channel 3: horizontal component 2; channel 4: vertical component). Data are not corrected for clock-drift. Data format is Passcal-SEGY. Data are accessible using the seismological software tools provided by EarthScope: https://www.passcal.nmt.edu/content/software-resources. The data were recorded using: HTI-04_PCA_ULF hydrophones from High Tech Inc., Short-period 4.5 Hz geophones and three-component seismometers (K/MT-210 manufactured by KUM GmbH). The recording device is an MBS recorder of SEND GmbH.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Calabrian accretionary prism; CALVADOS; Event label; File content; Mediterranean Sea, Eastern Basin; mud volcano; OBS; OBS V01; OBS V02; OBS V03; OBS V04; OBS V05; OBS V06; OBS V07; OBS V08; OBS V09; OBS V11; OBS V12; ocean bottom seismometer; Ocean bottom seismometer; POS515; POS515_10-1; POS515_12-1; POS515_13-1; POS515_2-1; POS515_3-1; POS515_4-1; POS515_5-1; POS515_6-1; POS515_7-1; POS515_8-1; POS515_9-1; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
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  • 24
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    Unknown
    2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV POSEIDON during cruise POS515, Venere mud volcano, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data set constitutes a total of 84 2D multichannel seismic lines acquired in parallel 2D mode across Venere mud volcano. An additional 7 lines were acquired across a grid of 12 OBS deployed in the region. Data are fully processed and migrated (in time). Main processing steps include: Geometry definition, Common-Mid-(CMP) Point sorting, Normal-Moveout-Corrention (NMO) using an average velocity function (extracted from ocean-bottom-seismometer data), Stacking and FK-Migration (in time). Data processing was completed using the VISTA processing package, provided by Schlumberger to GEOMAR. Data acquisition for this survey started with profile P1001 on June 21, 2017 (at 17:30, CET) at a position of 38°34.42'N, 17°08.66'E. Data acquisition for this survey ended with profile P1102 on July 2, 2017 (at 04:00, CET) at a position of 38°40.39'N, 17°07.97'E.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Calabrian accretionary prism; CALVADOS; File content; Mediterranean Sea, Eastern Basin; multichannel reflection seismics; POS515; POS515_14-1; POS515_15-1; POS515_16-1; POS515_17-1; POS515_18-1; POS515_19-1; POS515_20-1; Poseidon; SEIS; Seismic; Seismic reflection profile; SEISREFL
    Type: Dataset
    Format: text/tab-separated-values, 182 data points
    Location Call Number Expected Availability
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  • 25
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    Unknown
    Seismic processed data (Ocean Bottom Seismometer working area dataset) of RV POSEIDON during cruise POS515, Poseidon mud volcano, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data comprise processed active-source seismic data acquired with ocean bottom seismometers (OBS). The data were collected at Poseidon mud volcano chain during expedition POS515 with the research vessel POSEIDON (Riedel et al., 2017) in the Mediterranean Sea, Calabrian Arc, offshore southern Italy. The entire data set consists of 12 OBS stations. Seismic data were shot across the OBS along 14 2D profiles. Each OBS consist of 4 channels (channel 1: hydrophone; channel 2: horizontal component 1; channel 3: horizontal component 2; channel 4: vertical component).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Calabrian accretionary prism; CALVADOS; Event label; File content; Mediterranean Sea, Eastern Basin; mud volcano; OBS; OBS P01; OBS P02; OBS P03; OBS P04; OBS P05; OBS P06; OBS P07; OBS P08; OBS P09; OBS P10; OBS P11; OBS P12; Ocean bottom seismometer; POS515; POS515_33-1; POS515_34-1; POS515_35-1; POS515_36-1; POS515_37-1; POS515_38-1; POS515_39-1; POS515_40-1; POS515_41-1; POS515_42-1; POS515_43-1; POS515_44-1; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 1216 data points
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  • 26
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    Unknown
    Mg/Ca ratios measured by Electron Probe Microanalyzer in shells of the planktic foraminifer Morozovella velascoensis from ODP Site 865 (Central Pacific) across the PETM (~56 Ma) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: Foraminiferal shells of the species M. velascoensis from sediments spanning ~650 ka across the PETM section of ODP Site 865, Central Pacific, were embedded in epoxy and polished to midsection. Suitable, well-preserved domains for in-situ analysis were identified by scanning electron microscopy. In-situ measurements of the Mg/Ca ratios were performed using a CAMECA SX-51 electron microprobe housed in the Cameron and Wilcox Microbeam Laboratory at the UW-Madison Department of Geoscience. Depending on the number of suitable targets for analysis, between one and seven Mg/Ca measurements were performed for each shell. Fully quantitative microanalyses (mineral standards, background subtracted, and matrix corrected) were performed using Probe for EPMA software (Probe Software, Inc.). The natural carbonate standards Delight Dolomite and Callender Calcite were used for Mg and Ca, respectively. Mg-K alpha X-rays were measured on two spectrometers and aggregated. Carbon was calculated within the matrix correction, being allocated as one atom of carbon to 3 atoms of oxygen, and oxygen by stoichiometry to the cations measured, thus analytical totals of 98 – 100.5 wt. % are a measure of accuracy. Analyses featuring analytical totals below 98 wt. % or above 100.5 wt. % were excluded from the data set.
    Keywords: 143-865C; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Electron microprobe, CAMECA, SX-51; EPMA; Event label; Foraminifera; Hole; Identification; Interval; Joides Resolution; Leg143; Mg/Ca; Morozovella velascoensis, Magnesium/Calcium ratio; North Pacific Ocean; PETM; Sample code/label; Section; Size fraction
    Type: Dataset
    Format: text/tab-separated-values, 371 data points
    Location Call Number Expected Availability
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  • 27
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    Unknown
    Continous seismic raw data (Ocean Bottom Seismometer working area dataset) of RV POSEIDON during cruise POS515, Poseidon mud volcano chain, Calabrian Arc, Mediterranean Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The data comprise continuous records of seismic raw data acquired with ocean bottom seismometers (OBS). The data were collected at Poseidon mud volcano chain during expedition POS515 with the research vessel POSEIDON (Riedel et al., 2017) in the Mediterranean Sea, Calabrian Arc offshore southern Italy (map under further details). The entire data set consists of 12 OBS stations. Each OBS consist of 4 channels (channel 1: hydrophone; channel 2: horizontal component 1; channel 3: horizontal component 2; channel 4: vertical component). Data are not corrected for clock-drift. Data format is Passcal-SEGY. Data are accessible using the seismological software tools provided by EarthScope: https://www.passcal.nmt.edu/content/software-resources. The data were recorded using: HTI-04_PCA_ULF hydrophones from High Tech Inc., Short-period 4.5 Hz geophones and Three-component seismometers (K/MT-210 manufactured by KUM GmbH). The recording device is an MBS recorder of SEND GmbH
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Calabrian accretionary prism; CALVADOS; Event label; File content; Mediterranean Sea, Eastern Basin; mud volcano; OBS; OBS P01; OBS P02; OBS P03; OBS P04; OBS P05; OBS P06; OBS P07; OBS P08; OBS P09; OBS P10; OBS P11; OBS P12; Ocean bottom seismometer; POS515; POS515_33-1; POS515_34-1; POS515_35-1; POS515_36-1; POS515_37-1; POS515_38-1; POS515_39-1; POS515_40-1; POS515_41-1; POS515_42-1; POS515_43-1; POS515_44-1; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 28
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    Unknown
    Thorium / uranium dating of stalagmite PR-LA-1 (Cueva Larga, Puerto Rico) (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: Age, 230Th/U Thorium-Uranium; Age, dated; Age, dated standard deviation; Comment; Corrected, using the decay constants by Cheng et al. (2000); Cueva Larga, Puerto Rico; DISTANCE; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; Laboratory code/label; PR-LA-1; Sample ID; speleothem; Speleothem sample; SPS; Thorium-230/Thorium-232 activity ratio; Thorium-230/Thorium-232 activity ratio, standard deviation; Thorium-230/Uranium-238 activity ratio; Thorium-230/Uranium-238 activity ratio, standard deviation; Thorium-232; Thorium-232, standard deviation; Uranium-234/Uranium-238 activity ratio; Uranium-234/Uranium-238 activity ratio, standard deviation; Uranium-234/Uranium-238 activity ratio (0); Uranium-234/Uranium-238 activity ratio (0), standard deviation; Uranium-238; Uranium-238, standard deviation; Uranium-thorium isotope dilution measurement by MC-ICPMS
    Type: Dataset
    Format: text/tab-separated-values, 1289 data points
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  • 29
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    Unknown
    Geochemistry of tephra from sediment core IZN19-09 from Lake Iznik (NW Turkey) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The occurrence of previously geochemically identified tephra allowed refinement of the age-depth model by comparison with previously established volcanic eruption history (Roeser et al., 2012). Tephra layers were polished on thin sections and the glass shards were geochemically characterized using a JEOL JXA-8230 Electron Probe X-ray Micro Analyzer (EMPA; ISTerre Laboratory, University Grenoble Alpes) equipped with 5 wavelength dispersive spectrometers (WDS) and one energy dispersive spectrometer (EDS) detector. The measurements used the following conditions: 15 kV voltage, 2 nA beam current, and 5 to 7 µm beam size. For standardization, MPI-DING glasses (StHs6/80-G, GOR132-G) (http://georem.mpch-mainz.gwdg.de; Jochum et al., 2000), natural minerals, and synthetic oxides were used. Two glasses, Atho-G (http://georem.mpch-mainz.gwdg.de; Jochum et al., 2000) and KE-12 (Metrich & Rutherford, 1992), were analyzed together with the samples to verify analytical accuracy and to exclude the loss of alkalis. Analyses of glass shards yielding a total oxide sum less than 96% or suggesting mineral impurities were not included in this study. Analytical data were normalized to 100% total oxide values to enable comparison.
    Keywords: Aluminium oxide; BASILIZNIK-SECRETS; Calculated; Core; Electron probe microanalyzer (EPMA), JEOL JXA 8230; EPMA; GLASS; Hammering-push core, UWITEC PILOTE 63; HPUWI63; Iron oxide, FeO; IZN19-09; Iznik; IZNIK_04_2019; Iznik Lake, Turkey; lake; Potassium oxide; Sample comment; Secret Archives of the Basilica of Nicea provided by the Sediments of Iznik Lake; sediment; sediment core data; Silicon dioxide; Sodium oxide; Sum; Turkey; volcanic eruption
    Type: Dataset
    Format: text/tab-separated-values, 344 data points
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  • 30
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    Calibrated international standards including ATHO-G, T1-G, and VG-568 (USNM 72854) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: Aluminium oxide; Calcium oxide; Chlorine; Expedition 374; Integrated Ocean Drilling Program / International Ocean Discovery Program; International Ocean Discovery Program (IODP); IODP; Iron oxide, FeO; Magnesium oxide; Manganese oxide; Marie Byrd Land; Potassium oxide; Ross Sea; Sample ID; Silicon dioxide; Site U1524; Sodium oxide; Tephra; tephrochronology; Titanium dioxide; Total
    Type: Dataset
    Format: text/tab-separated-values, 381 data points
    Location Call Number Expected Availability
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  • 31
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    Unknown
    Stable isotopes in ostracod shells of core NC08/01 (Table 3) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: AGE; DEPTH, sediment/rock; KIEL-IV-Carbonate Device connected to a Finnigan MAT253 mass spectrometer; Lake Nam Co, Tibetan Plateau; Leucocytherella sinensis, δ13C; Leucocytherella sinensis, δ18O; NC_08/01; Ostracoda; Paleoclimate; Paleolimnology; PC; Piston corer; Rare earth elements; Stable carbon and oxygen isotopes; trace elements ratio
    Type: Dataset
    Format: text/tab-separated-values, 228 data points
    Location Call Number Expected Availability
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  • 32
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    Unknown
    Stable isotopes in bulk sediment TAN12-2 (Table 4) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: AGE; DEPTH, sediment/rock; Finnigan GasBench-II connected to a DELTAplus XL isotope ratio mass spectrometer (IRMS); GC; Gravity corer; Ostracoda; Paleoclimate; Paleolimnology; Rare earth elements; Stable carbon and oxygen isotopes; TAN12-2; trace elements ratio; δ13C, bulk carbonate; δ18O, bulk carbonate
    Type: Dataset
    Format: text/tab-separated-values, 652 data points
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  • 33
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    Unknown
    Geochemistry of tephra from sediment core IZN19-15 from Lake Iznik (NW Turkey) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: The occurrence of previously geochemically identified tephra allowed refinement of the age-depth model by comparison with previously established volcanic eruption history (Roeser et al., 2012). Tephra layers were polished on thin sections and the glass shards were geochemically characterized using a JEOL JXA-8230 Electron Probe X-ray Micro Analyzer (EMPA; ISTerre Laboratory, University Grenoble Alpes) equipped with 5 wavelength dispersive spectrometers (WDS) and one energy dispersive spectrometer (EDS) detector. The measurements used the following conditions: 15 kV voltage, 2 nA beam current, and 5 to 7 µm beam size. For standardization, MPI-DING glasses (StHs6/80-G, GOR132-G) (http://georem.mpch-mainz.gwdg.de; Jochum et al., 2000), natural minerals, and synthetic oxides were used. Two glasses, Atho-G (http://georem.mpch-mainz.gwdg.de; Jochum et al., 2000) and KE-12 (Metrich & Rutherford, 1992), were analyzed together with the samples to verify analytical accuracy and to exclude the loss of alkalis. Analyses of glass shards yielding a total oxide sum less than 96% or suggesting mineral impurities were not included in this study. Analytical data were normalized to 100% total oxide values to enable comparison.
    Keywords: Aluminium oxide; BASILIZNIK-SECRETS; Calculated; Core; Electron probe microanalyzer (EPMA), JEOL JXA 8230; EPMA; GLASS; Hammering-push core, UWITEC PILOTE 63; HPUWI63; Iron oxide, FeO; IZN19-15; Iznik; IZNIK_04_2019; Iznik Lake, Turkey; lake; Potassium oxide; Sample comment; Secret Archives of the Basilica of Nicea provided by the Sediments of Iznik Lake; sediment; sediment core data; Silicon dioxide; Sodium oxide; Sum; Turkey; volcanic eruption
    Type: Dataset
    Format: text/tab-separated-values, 256 data points
    Location Call Number Expected Availability
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  • 34
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    Trace elements in ostracod valves of NC08/01 from Nam Co (Table 1) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: AGE; DEPTH, sediment/rock; ICP–MS Thermo Element 2 combined with a 213 nm (UP-213) Nd:YAG laser ablation system from New Wave; Lake Nam Co, Tibetan Plateau; Leucocytherella sinensis, Barium/Calcium ratio; Leucocytherella sinensis, heavy rare-earth elements (Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu)/Calcium ratio; Leucocytherella sinensis, Iron/Calcium ratio; Leucocytherella sinensis, light rare-earth elements (La, Ce, Pr, Nd, Sm, Eu)/Calcium ratio; Leucocytherella sinensis, Magnesium/Calcium ratio; Leucocytherella sinensis, Manganese/Calcium ratio; Leucocytherella sinensis, rare-earth elements/Calcium ratio; Leucocytherella sinensis, Strontium/Calcium ratio; Leucocytherella sinensis, Uranium/Calcium ratio; NC_08/01; Ostracoda; Paleoclimate; Paleolimnology; PC; Piston corer; Rare earth elements; Stable carbon and oxygen isotopes; trace elements ratio
    Type: Dataset
    Format: text/tab-separated-values, 1593 data points
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  • 35
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    Unknown
    Trace elements in ostracod valves of TAN12-2 from Tangra Yumco (Table 2) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Keywords: AGE; DEPTH, sediment/rock; GC; Gravity corer; ICP–MS Thermo Element 2 combined with a 213 nm (UP-213) Nd:YAG laser ablation system from New Wave; Leucocytherella sinensis, Barium/Calcium ratio; Leucocytherella sinensis, heavy rare-earth elements (Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu)/Calcium ratio; Leucocytherella sinensis, Iron/Calcium ratio; Leucocytherella sinensis, light rare-earth elements (La, Ce, Pr, Nd, Sm, Eu)/Calcium ratio; Leucocytherella sinensis, Magnesium/Calcium ratio; Leucocytherella sinensis, Manganese/Calcium ratio; Leucocytherella sinensis, rare-earth elements/Calcium ratio; Leucocytherella sinensis, Strontium/Calcium ratio; Leucocytherella sinensis, Uranium/Calcium ratio; Ostracoda; Paleoclimate; Paleolimnology; Rare earth elements; Stable carbon and oxygen isotopes; TAN12-2; trace elements ratio
    Type: Dataset
    Format: text/tab-separated-values, 1215 data points
    Location Call Number Expected Availability
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  • 36
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    Pore water data of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021).
    Keywords: Ammonium; Ammonium, standard deviation; AWI Arctic Land Expedition; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_7; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Chloride; Chloride, standard deviation; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; Iron; Iron, standard deviation; Manganese; Manganese, standard deviation; Nitrate; Nitrate, standard deviation; Nitrite; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; pH; Phosphate; Phosphate, standard deviation; Sample ID; Silicate; Silicate, standard deviation; Sulfate; Sulfate, standard deviation; YC22_MR_7; Yukon Coast 2022; δ13C, dissolved inorganic carbon, standard deviation; δ18O, dissolved inorganic carbon
    Type: Dataset
    Format: text/tab-separated-values, 269 data points
    Location Call Number Expected Availability
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  • 37
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    Unknown
    Pore water data of sediment core YC22_MR_8 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_8 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021).
    Keywords: AWI Arctic Land Expedition; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_8; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Chloride; Chloride, standard deviation; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; Iron; Iron, standard deviation; Manganese; Manganese, standard deviation; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Sample ID; YC22_MR_8; Yukon Coast 2022; δ13C, dissolved inorganic carbon, standard deviation; δ18O, dissolved inorganic carbon
    Type: Dataset
    Format: text/tab-separated-values, 161 data points
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  • 38
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    Age model of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. Sedimentary age model of core YC22_MR_7 assuming Constant Flux: Constant Sedimentation (CFCS) model (Appleby, 2001), based on data obtained with a HPGe gamma detector.
    Keywords: Actinium-228; Actinium-228, error; Age; Age, error; Americium-241; AWI Arctic Land Expedition; Bismuth-214; Bismuth-214, error; Caesium-137; Caesium-137, error; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_7; Calculated; Constant Flux - Constant Sedimentation (CFCS) dating model; Constant Initial Concentration (CIC) dating model; DEPTH, sediment/rock; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; High-purity Germanium (HPGe) detector; Lead-210; Lead-210, error; Lead-210, supported; Lead-210, supported, error; Lead-210 excess; Lead-210 excess, error; Lead-214; Lead-214, error; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; YC22_MR_7; Yukon Coast 2022
    Type: Dataset
    Format: text/tab-separated-values, 503 data points
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  • 39
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    Pore water data of sediment core YC22_MR_6 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_6 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021).
    Keywords: Ammonium; Ammonium, standard deviation; AWI Arctic Land Expedition; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_6; Carbon, inorganic, dissolved; Chloride; Chloride, standard deviation; DEPTH, sediment/rock; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; Iron; Iron, standard deviation; Manganese; Manganese, standard deviation; Nitrate; Nitrate, standard deviation; Nitrite; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; pH; Phosphate; Phosphate, standard deviation; Sample ID; Silicate; Silicate, standard deviation; Sulfate; Sulfate, standard deviation; YC22_MR_6; Yukon Coast 2022
    Type: Dataset
    Format: text/tab-separated-values, 179 data points
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  • 40
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    Electron micro probe analyser (EMPA) glass standards measurements associated with glass geochemistry data of Lateglacial cryptotephra from the International Continental Scientific Drilling Program (ICDP) Dead Sea core (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset provides the data for the four glass standards used for monitoring of the precision and accuracy of electron probe microanalyses (EPMA) during analytical runs of cryptotephra glass-shards in the International Continental Scientific Drilling Program (ICDP) sediment core 5017-1 (see first dataset). For each EPMA run, all four glass standards were measured. The major-element composition of the glass standards was measured using a JEOL JXA-8230 electron microprobe at GFZ Potsdam, Germany (15 kV, 5-10 nA, 5-10 µm beam size). Instrumental calibration used natural mineral standards. Glass standards were Lipari obsidian (Hunt & Hill 1996, doi:10.1016/1040-6182(95)00088-7; Kuehn et al. 2011, doi:10.1016/j.quaint.2011.08.022) and MPI-Ding glasses ATHO-G, StHs-6-80-G and GOR-132-G (Jochum et al. 2006, doi:10.1029/2005GC001060).
    Keywords: Aluminium oxide; Beam current; Beam size; Calcium oxide; Chlorine; Cryptotephra; Date; Dead Sea; Dead Sea Basin, Israel; Description; DRILL; Drilling/drill rig; DSDDP_5017-1; Eastern Mediterranean; Electron Probe Microanalysis (EPMA); Fluorine; Iron oxide, FeO; Magnesium oxide; Manganese oxide; palaeoclimate; Phosphorus pentoxide; Potassium oxide; Sample ID; Silicon dioxide; Sodium oxide; Sum; tephrochronology; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 216 data points
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  • 41
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    Tie points for manual alignment of the benthic foraminiferal δ¹⁸O record at IODP Site U1541 to LR04 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset presents user-defined tiepoints of the manual alignment of the benthic foraminiferal δ¹⁸O record at IODP Site U1541 to the benthic foraminiferal LR04 δ¹⁸O stack of Lisiecki and Raymo (2005) obtained by Middleton et al. (2024). The benthic foraminiferal δ¹⁸O record for IODP Site U1541 is based on stable isotope analyses of Cibicidoides wuellerstorfi and Cibicides kullenbergi, and was published in Middleton et al. (2024).
    Keywords: 383-U1541; AGE; COMPCORE; Composite Core; DEPTH, sediment/rock; EXP383; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 42
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    Tie points between sediment core PS75/059-2 and IODP Site U1541 based on an alignment of high-resolution X-ray fluorescence (XRF) Fe intensity variations (2024)
    PANGAEA
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    Publication Date: 2024-06-01
    Description: This dataset presents tie points between sediment core PS75/059-2 and IODP Site U1541 based on an alignment of high-resolution X-ray fluorescence (XRF) Fe intensity variations in both cores, obtained by Middleton et al. (2024). The splicing of the two cores provides the basis for a combination of the benthic foraminiferal δ¹⁸O records for PS75/059-2 (Ullermann et al., 2016) and IODP Site U1541 (Middleton et al., 2024).
    Keywords: 383-U1541; ANT-XXVI/2; COMPCORE; Composite Core; DEPTH, sediment/rock; EXP383; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; KL; Piston corer (BGR type); Polarstern; PS75/059-2; PS75 BIPOMAC; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 43
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    Benthic foraminiferal δ¹⁸O alignments for IODP Site U1541 based on the tuning targets LR04, L09, CENOGRID and Probstack for the past ~3.5 Myr (2024)
    PANGAEA
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    Publication Date: 2024-06-01
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies and associated uncertainties for International Ocean Discovery Program (IODP) Site U1541, based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) and based on manual versus automated tuning techniques (Middleton et al., 2024). The benthic foraminiferal δ¹⁸O record for IODP Site U1541 (54°13'S, 125°25'W) recently recovered from the central South Pacific on IODP Expedition 383 (Winckler et al., 2021) is presented for the first time in Middleton et al. (2024). It is based on stable isotope analyses of Cibicidoides wuellerstorfi and Cibicides kullenbergi (Middleton et al., 2024), and was combined with the benthic foraminiferal δ¹⁸O record of PS75/059-2 (Ullermann et al., 2016). Automated tuning is based on Hidden Markov Model (HMM)-Match-based alignments (Middleton et al., 2024) generated using the automated probabilistic HMM-Match algorithm of Lin et al. (2014). The manual tuning was generated by visual alignment of characteristic peaks and troughs of the benthic foraminiferal δ¹⁸O record of IODP Site U1541 to the benthic foraminiferal LR04 stack using the publicly available QAnalySeries software (Kotov and Pälike, 2018). The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 3.5 Myr (Middleton et al., 2024).
    Keywords: 383-U1541; 383-U1541A; 383-U1541B; 383-U1541C; Age, dated; Age model; ANT-XXVI/2; Cibicidoides spp., δ18O; COMPCORE; Composite Core; Core; Data source; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; EXP383; Hidden Markov Model (HMM)-Match-based alignment to CENOGRID; Hidden Markov Model (HMM)-Match-based alignment to LR04; Hidden Markov Model (HMM)-Match-based alignment to LR09 Pacific; Hidden Markov Model (HMM)-Match-based alignment to Prob-stack; Hole; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; KL; Leg Number; Manual Alignment to LR04; Piston corer (BGR type); Polarstern; PS75/059-2; PS75 BIPOMAC; Sample code/label; Section; Section position; Site; South Pacific Ocean; Type
    Type: Dataset
    Format: text/tab-separated-values, 33741 data points
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  • 44
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    Benthic foraminiferal δ¹⁸O alignments for ODP Site 1090 based on the tuning targets LR04, L09, CENOGRID and Probstack for the past ~2.9 Myr (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies and associated uncertainties for Ocean Drilling Program (ODP) Site 1090, based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) and based on manual versus automated tuning techniques (Middleton et al., 2024). The benthic foraminiferal δ¹⁸O record at ODP Site 1090 is based on Cibicidoides wuellerstorfi and was previously published in Hodell et al. (2000) and Venz and Hodell (2002). Automated tuning is based on Hidden Markov Model (HMM)-Match-based alignments (Middleton et al., 2024) generated using the automated probabilistic HMM-Match algorithm of Lin et al. (2014). The manual alignments of ODP Site 1090 were obtained by realigning the original age model tie points (Venz and Hodell, 2002) to the benthic foraminiferal LR04 δ¹⁸O stack using the QAnalySeries software (Kotov and Pälike, 2018). The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 2.9 Myr (Middleton et al., 2024).
    Keywords: 177-1090; 177-1090B; 177-1090D; 177-1090E; Age, dated; Age model; Cibicidoides spp., δ18O; COMPCORE; Composite Core; Core; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Hidden Markov Model (HMM)-Match-based alignment B to Probstack; Hidden Markov Model (HMM)-Match-based alignment to CENOGRID; Hidden Markov Model (HMM)-Match-based alignment to LR04; Hidden Markov Model (HMM)-Match-based alignment to LR09 Atlantic; Hidden Markov Model (HMM)-Match-based alignment to Prob-stack; Joides Resolution; Leg177; Leg Number; Manual Alignment to LR04; Ocean Drilling Program; ODP; PC; Piston corer; Sample code/label; Section; Section position; Site; South Atlantic Ocean; TN057-6-PC4
    Type: Dataset
    Format: text/tab-separated-values, 21310 data points
    Location Call Number Expected Availability
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  • 45
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    Benthic foraminiferal δ¹⁸O alignments for ODP Site 980 and ODP Site 981 based on the tuning targets LR04, L09, CENOGRID and Probstack for the past ~1.8 Myr (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies and associated uncertainties for Ocean Drilling Program (ODP) Site 980 and 981, based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) and based on manual versus automated tuning techniques (Middleton et al., 2024). The benthic foraminiferal δ¹⁸O record at ODP 980 is based on Cibicidoides wuellerstorfi and Cibicides kullenbergi, and was previously published (McManus et al., 1999; Flower et al., 2000; Oppo et al., 1998). The ODP Site 981 data were measured on benthic foraminifera of the genus Cibicidoides (Raymo et al., 2004). The benthic foraminiferal δ¹⁸O records of ODP Site 980 and 981 were spliced together at ~860 ka (Raymo et al., 2004). Automated tuning is based on Hidden Markov Model (HMM)-Match-based alignments (Middleton et al., 2024) generated using the automated probabilistic HMM-Match algorithm of Lin et al. (2014). The manual alignments of ODP Site 980/981 were obtained by realigning the original age model tie points (e.g., Raymo et al., 2004) to the benthic foraminiferal LR04 δ¹⁸O stack using the QAnalySeries software (Kotov and Pälike, 2018). The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 1.8 Myr (Middleton et al., 2024).
    Keywords: 162-980; 162-981; Age, dated; Age model; Cibicidoides spp., δ18O; COMPCORE; Composite Core; DEPTH, sediment/rock; Event label; Hidden Markov Model (HMM)-Match-based alignment to CENOGRID; Hidden Markov Model (HMM)-Match-based alignment to LR04; Hidden Markov Model (HMM)-Match-based alignment to LR09 Atlantic; Hidden Markov Model (HMM)-Match-based alignment to Prob-stack; Joides Resolution; Leg162; Manual Alignment to LR04; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 22351 data points
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  • 46
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    Intact polar lipid concentrations of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. The precursor lipids of the polar fractions used for isotope analysis were quantified following the method described in Wörmer et al. (2013). Quantified lipid classes include: betaine lipids (BL), phosphatidyl-(N)-monomethylethanolamine (PME), phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), diphosphatidylglycerol (DPG) and lyso-DPG.
    Keywords: AWI Arctic Land Expedition; Betaine lipids per unit sediment mass; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_7; DEPTH, sediment/rock; Depth, sediment/rock, standard deviation; Diphosphatidylglycerol per unit sediment mass; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; Lyso-Diphosphatidylglycerol per unit sediment mass; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Phosphatidylcholine per unit sediment mass; Phosphatidylethanolamine per unit sediment mass; Phosphatidylglycerol per unit sediment mass; Phosphatidylmethylethanolamine per unit sediment mass; YC22_MR_7; Yukon Coast 2022
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 47
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    Benthic foraminifera from the Mauritanian shelf and upper slope (2024)
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    Publication Date: 2024-06-01
    Description: Foraminiferal assemblage data was collected from the top 0-1 cm sediment layer of 30 surface samples from the Mauritanian slope and shelf. The material was sampled with a box corer (50x50x55cm), grabs and gravity corer (6m lenght) during the expedition MSM16/3 of RV Maria S. Merian in October-November 2010. The samples range from water depths of 13 m on the shelf to 1310 m on the middle bathyal slope. They are from the inner and outer shelf, upper bathyal slope, canyons, coral mounds, the cold-water coral reef chains at 400–600 m water depth and the middle bathyal slope. The samples were washed over a 250 µm sieve and dried. Per sample 200 benthic foraminiferal specimens were counted on species level. 154 were documented with illustrations and descriptions. The purpose of the study was to investigate the foraminiferal faunas of the Mauritanian shelf and upper slope and their association with cold water coral habitats.
    Keywords: 1015-1; 1016-1; 1020-1; 1021-1; 1022-1; 1024-1; 1026-1; 1028-1; 1033-1; 1035-1; 1045-1; 1056-1; 1061-1; 1062-1; 1064-1; 1069-1; 1070-1; 1071-1; 1076-2; 1077-1; 869-1; 870-1; 871-1; 872-1; 880-1; 945-2; 949-1; 951-4; 954-1; 965-1; Acervulina inhaerens; Ammobaculites filiformis; Ammodiscus tenuis; Ammolagena clavata; Ammonia neobeccarii; Amphicoryna scalaris; Arguin mud wedge; Baie du Levrier; Banda mounds; Benthos; Bolivina beyrichi; Bolivina earlandi; Bolivina spathulata; Bolivina subaenariensis; Bulimina aculeata; Bulimina marginata; Bulimina striata; Cancris auriculus; Canyon area southern Banc dArguin (ROV2); Canyon S of Timiris mound chain; Cassidulina laevigata; central outer Banc dArguin; Chilostomella oolina; Cibicidoides lobatulus; Cibicidoides mundulus; Cibicidoides wuellerstorfi; Cold water coral habitats; Connemarella rudis; Counting 〉250 µm fraction; Cribromiliolinella subvalvularis; Cribrostomoides subglobosum; Cyclammina cancellata; Deep mound chain; DEPTH, sediment/rock; Discammina compressa; Dorothia pseudoturris; Eggerella sp.; Eggerelloides advena; Eggerelloides scaber; Ehrenbergina serrata; Elevation of event; Elphidium crispum; Elphidium fichtelianum; Elphidium maorium; Eponides repandus; Event label; Fissurina sp.; Foraminifera; Foraminifera, benthic, total; Fursenkoina complanata; GC; GeoB14703-1; GeoB14704-1; GeoB14705-1; GeoB14706-1; GeoB14714-1; GeoB14780-2; GeoB14782-3; GeoB14785-4; GeoB14788-1; GeoB14799-1; GeoB14847-1; GeoB14848-1; GeoB14852-1; GeoB14853-1; GeoB14854-1; GeoB14856-1; GeoB14858-1; GeoB14860-1; GeoB14865-1; GeoB14867-1; GeoB14878-1; GeoB14889-1; GeoB14895-1; GeoB14896-1; GeoB14898-1; GeoB14903-1; GeoB14904-1; GeoB14905-1; GeoB14910-2; GeoB14911-1; Giant box corer; GKG; Globobulimina doliolum; Globobulimina turgida; Globulina gibba; Goesella cylindrica; Grab; GRAB; Gravity corer; Gyroidina orbicularis; Hanzawaia boueana; Heterolepa bradyi; Hoeglundina elegans; Homalohedra borealis; Homalohedra williamsoni; Hormosina globulifera; Hyalinea balthica; Hyrrokkin sarcophaga; Karreriella bradyi; Lachlanella bicornis; Laevidentalina communis; Lagena gibbera; Lagenammina arenulata; Lagenammina testacea; Lagena striata; Latitude of event; Lenticulina iota; Lenticulina rotulata; Lenticulina sp.; Lenticulina submamilligera; Longitude of event; Marginulina glabra; Maria S. Merian; Marsipella elongata; Martinottiella communis; Mauritania; Melonis zaandamae; Miliolina oblonga; Miliolinella sp.; MSM16/3; Neolenticulina peregrina; Nonion fabum; northern Banda slide; northern canyon area west of Banc dArguin (ROV3); Oridorsalis umbonatus; outer shelf off Banc dArguin; Pararotalia sp.; Placopsilina bradyi; Planispirinella exigua; Planodiscorbis rarescens; Planorbulina mediterranensis; Planulina ariminensis; Procerolagena gracilis; Proemassilina arenaria; Psammosphaera fusca; Pullenia subcarinata; Pyrgo depressa; Pyrgoella sphaera; Pyrgo williamsoni; Quinqueloculina lamarckiana; Quinqueloculina sp.; Quinqueloculina viennensis; Rectuvigerina elongatastriata; Recurvoides contortus; Reophax agglutinatus; Reophax bilocularis; Reophax bradyi; Rhabdammina abyssorum; Rhabdammina scabra; Rosalina semipunctata; Rosalina vermiculata; Rutherfordoides rotundiformis; Rutherfordoides sp.; Sahulia barkeri; Sigmoilopsis schlumbergeri; Siphouvigerina proboscidea; Site; southern Banc d Arguin; southern Banda slide; Sphaeroidina bulloides; Spiroloculina dilatata; Spiroloculina excavata; Spiroloculina tenuiseptata; Spiroplectinella wrighti; Spirorutilus carinatus; Stomatorbina concentrica; Tetragonostomina rhombiformis; Textularia pseudotrochus; Textularia sp.; Textularia truncata; Timiris deep coral mound chain; Timiris mud wedge; Trifarina albatrossi; Trifarina angulosa; Trifarina fornasinii; Triloculina angusteoralis; Triloculina fichteliana; Tritaxis conica; Trochammina inflata; Uvigerina hispida; Uvigerina mediterranea; Uvigerina peregrina; Uvigerina pygmaea
    Type: Dataset
    Format: text/tab-separated-values, 3690 data points
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  • 48
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    Intact polar lipid fatty acids carbon isotopic composition of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-01
    Description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor. Intact polar lipid fatty acids were extracted from the sediments, purified, and 14C analysis was performed as described in Ruben et al. (2023). The 13C isotopy was determined with GC-IRMS (Elvert et al., 2003).
    Keywords: AWI Arctic Land Expedition; CA-Land_2022_YukonCoast; CA-Land_2022_YukonCoast_MR_7; DEPTH, sediment/rock; Depth, sediment/rock, standard deviation; Fatty acid methyl ester, compound; Fatty acid methyl ester, compound specific, δ13C; Fatty acid methyl ester, compound specific, δ13C, standard deviation; Fraction modern carbon, compound specific; Fraction modern carbon, compound specific, standard deviation; Hand corer; HCOR; Herschel Island, Yukon Territory, Canada; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Sample ID; YC22_MR_7; Yukon Coast 2022
    Type: Dataset
    Format: text/tab-separated-values, 119 data points
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  • 49
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    5000 years of multi-proxy reconstruction based on sediment core GeoB10053-7 (2023)
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    Details
    Publication Date: 2024-05-31
    Description: About 40 samples are collected from the upper 250 cm of the sediment core GeoB 10053-7 offshore Java, covering the past 5,000 years (Mohtadi et al., 2011; doi:10.1038/ngeo1209). The average sample resolution is around 120 years. Here, we use markers for low intensity fires and soil erosion to reconstruct human activities in East Java (Indonesia) over the last 5,000 years. We use the accumulation rate of branched glycerol dialkyl glycerol tetraethers (brGDGTs), markers for soil-derived organic matter, to indicate levels of soil erosion in the catchment region. We also use the accumulation rate of levoglucosan to indicate past fire use in the catchment. Independent hydroclimate reconstruction that are not influenced by human activities is compared in order to differentiate the impact of human activities vs. hydroclimate on soil erosion in the catchment area. Specifically, the stable hydrogen isotope composition (δD) of leaf wax n-alkanes reflect changes in the monsoonal rainfall intensity in the catchment. In addition, the stable carbon isotope composition (δ13C) of leaf wax n-alkanes derived from our sediment core reflects the relative abundance of regional C3 versus C4 vegetation.
    Keywords: Center for Marine Environmental Sciences; leaf waxes; levoglucosan; Marine Sediment Core; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 50
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    Permafrost related measurements in the Mackenzie Delta, Northwest Territories, Canada, from the MOSES field campaign in September 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: This collection contains permafrost related measurements in the Mackenzie Delta, NWT, Canada from the MOSES (Modular Observation Solutions for Earth Systems) field campaign in September 2021. The field campaign was focused on three subaquatic sites: a small thermokarst lake along the ITH just south of Trail Valley Creek, "Lake 3", an elongated lake with known methane occurence in the outer Mackenzie Delta, "Swiss Cheese Lake", and north and south of Tuktoyaktuk Island. At "Swiss Cheese Lake", we measured methane and CO2 concentrations in surface water and in the air above the lake, lake bed temperatures and detailed bathymetry. At "Lake 3" we measured active layer thickness on the lake banks, lake bed temperatures, and detailed bathymetry, as well as an ERT survey to estimate the talik depth below the lake. North and south of Tuktoyaktuk Island, we measured active layer thickness and sea bed temperatures and did an extensive ERT survey to obtain the depth of the subsea permafrost table. An additional passive seismic survey was carried out and the data is available at https://doi.org/10.5880/GIPP.202199.1.
    Keywords: active layer depth; AWI_PerDyn; AWI_Perma; Beaufort Sea; Modular Observation Solutions for Earth Systems; MOSES; Permafrost; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; thermokarst lake; Tuktoyaktuk Island
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 51
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    Diatom concentrations and fluxes from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Relative contribution of the “marginal ice zone”, “drift-ice/pack-ice” and “summer subsurface” diatom indicator groups, diatom valve and Chaetoceros resting spore concentrations (valves or spores/g), diatom valve and Chaetoceros resting spore fluxes (valves or spores/unit surface area/yr), and total diatom fluxes (valves and spores/unit surface area/yr) from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: AGE; Age, error; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; CASQ; CCGS Amundsen; Chaetoceros, spores, flux; Chaetoceros spp. resting spores per unit sediment mass; DEPTH, sediment/rock; diatoms; Diatoms; Diatoms, pelagic; Diatoms, sea ice; Diatoms, total, flux; Diatoms, valves, flux; Diatom valves, per unit sediment mass; Geochemistry; Highly branched isoprenoid (HBI) biomarkers
    Type: Dataset
    Format: text/tab-separated-values, 749 data points
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  • 52
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    Great Barrier Reef Atmospheric Composition Measurements during the Reef To Rainforest campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: This dataset describes a series of aerosol and meteorological measurements collected in the Great Barrier Reef (GBR) Marine Park collected during the "GBR as a significant source of climatically relevant aerosol particles" campaign, known as "Reef to Rainforest" (R2R). The data covers a broad area of the GBR marine park (-27.3091 to -16.95169 latitudinally, 145.9705 to 154.1146 longitudinally) over approximately one month, from 28th September, 2016 to 24th October, 2016. The data was collected at two sites – one aboard the Australian Government Research Vessel Investigator (RVI), and an onshore site at Garner's Beach, QLD, Australia (-17.8222S, 146.1023E). Parameters measured include particle size distribution, number concentration, composition cloud condensation nuclei (CCN) properties, concentrations of gases and markers including black carbon, radon, carbon monoxide, carbon dioxide, volatile organic compounds (VOCs), dimethylsulfide (DMS), upper air particle concentration/composition, cloud or low lying fog presence, cloud top height, depolarisation ratio, aerosol scattering and optical thickness. The observations were collected in the hope of improving our understanding of the local climate and aerosol properties, which in turn will improve local models and better inform regulatory bodies protecting the GBR.
    Keywords: aerosol; Air Chemistry; atmospheric composition; ccn; climate; clouds; Great Barrier Reef
    Type: Dataset
    Format: application/zip, 16 datasets
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  • 53
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    Oxygen and carbon isotopes rom the shells of Globorotaloides hexagonus from sediment core TR163-23 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Here we document the stable isotope (δ18O and δ13C) from the shells of planktic foraminifer Globorotaloides hexagonus from Eastern Equatorial Pacific core site TR163-23 (0° 24.6' N, 92° 9.6' W; 2,730 m depth). Morphometric measurements include the length of the shell along the longest dimension from the final chamber, the number of chambers in the final whorl, and porosity. Porosity was assessed by the percentage of surface area on the final chamber consisting of pores. Stable isotope analyses were carried out on pooled samples of 3-10 shells, while morphometrics were measured in individuals.
    Keywords: Carbon isotopes; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Eastern Equatorial Pacific; East Pacific; Foraminifera; Globorotaloides hexagonus; Globorotaloides hexagonus, δ13C; Globorotaloides hexagonus, δ18O; Oxygen isotopes; Sample code/label; TR163-23
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 54
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    Levoglucosan concentrations and accumulation rates of sediment core GeoB10053-7 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Keywords: Accumulation rate, levoglucosan; AGE; Calculated; Center for Marine Environmental Sciences; Comment; DEPTH, sediment/rock; GeoB10053-7; Gravity corer (Kiel type); leaf waxes; levoglucosan; Levoglucosan; Levoglucosan according to Schreuder et al. 2018; Marine Sediment Core; MARUM; PABESIA; SL; SO184/2; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 95 data points
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  • 55
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    Hydrobiid mudsnail image dataset: Raw stereomicroscope, processed, and segmented images of abundant brackish snails from a mesocosm experiment with multiple temperature treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: We examined the growth response of a brackish snail (Hydrobiidae) against multiple temperature treatments in a mesocosm located beside the Alfred Wegener Institute Wadden Sea Station on Sylt (55°01′19.2″N, 8°26′17.7″E). Bulk sediments were collected south of Pellworm (54° 31' 55.83"N, 8° 42' 40.36"E) at low tide on March 22, 2022, transferred to mesh-lined crates and introduced to mesocosm tanks (170 cm × 85 cm × 1800 L). Experimental warming treatments were conducted using three heaters per tank (Titanium heater 500 W, Aqua Medic, Bissendorf, Germany). The full specifications for the mesocosms are already published (Pansch et al., 2016). Throughout the experimental warming period, four sampling events (March 30, April 25, May 24, June 20) were conducted to core sediments. Sediment cores were washed and sieved (1mm mesh size) to disaggregate infauna. Individuals were separated for the common hydrobiid mudsnail, which were subsequently imaged in groups on a typical petri plate under stereomicroscopy. A semi-automatic object segmentation and size measurement approach was developed to rapidly differentiate and measure individuals from images. Segmentation was highly accurate and precise against manual length measurements (end-to-end; mm) collected in ImageJ for 4595 snails. Scaling the segmentation method across the full dataset estimated 〉40,000 snails and presented a complex species-specific response to warming. The enclosed dataset represents all raw, processed, and segmented images (n= 3201) produced by this study.
    Keywords: Computer vision; DAM sustainMare - iSeal: Trans- and interdisciplinary Social-ecological network analysis based on long-term monitoring, experimental data and stakeholders' assessment; File type; Gastropods; Identification; Image, specimens; Image, specimens (File Size); Image, specimens (MD5 Hash); Image, specimens (Media Type); Image number/name; Image segmentation; iSeal; Magnification; MESO; mesocosm experiment; Mesocosm experiment; Method comment; Object Based Image Analysis; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Resolution; Sample code/label; Sampling date/time, experiment; Stereo microscope, Nikon, SMZ18; coupled with Microscope camera, Nikon, DS-Fi3 [5.39 megapixels, LED base light with oblique coherent contrast]; sustainMare; Sylt_Mesocosm_2022; Tank number; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Treatment: temperature description; Type; Type of study; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 44814 data points
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  • 56
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    RootPainter models and outputs for Mycale lingua within image data from the Lofoten Vesterålen Ocean Observatory (2017-19) and an ROV survey of the Tisler Reef (2021) (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Five models were developed using RootPainter; four to detect and predict the surface area of the deep-sea sponge Mycale lingua and one to identify laser scales. Three of the sponge models were trained and applied to time-lapse images collected by the Lofoten Vesterålen Ocean Observatory. The fourth sponge model and laser model were developed and used on extracted video frames from an ROV survey of the Tisler reef. The total observatory dataset contained 18,346 images, consisting of 9,173 images each of the Mycale lingua sponges 'Magnus' and 'Mini' from 2017-2019. The total ROV video frame dataset contained 1,420 images from the East of the reef, captured in 2021.
    Keywords: automated species detection; Binary Object; Binary Object (File Size); Binary Object (Media Type); File content; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; interactive machine learning; Lofoten_Vesterålen_Ocean_Observatory; Lofoten/Vesterålen; marine image analysis; Model, Rootpainter; Mycale lingua; Remote operated vehicle; RootPainter; ROV; sponge surface area; Tisler_Reef_Video_Survey; Tisler Reef, Skagerrak
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 57
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    Alkyl lipid distribution, elemental composition and compound-specific 14C isotope composition in marine and terrestrial sedimentary archives from sub-Antarctic South Georgia (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The dataset comprises elemental data, alkyl lipid data and radiocarbon (14C) data that was obtained on sediment samples from sub-Antarctic South Georgia. The sediments were collected from a range of different sites, including lakes, peat deposits, a marine inlet and a fjord during RV Polarstern expedition PS81 in 2013. Prior to the geochemical analyses reported here, the sediments were freeze-dried and ground. More details on the study sites, sampling and data evaluation can be found in Berg et al. (submitted manuscript). Total organic carbon (TOC) was analyzed with a DIMATOC 200 (DIMATEC Corp., Canada) analyser. The TOC concentration is derived from the difference between total carbon (TC) and total inorganic carbon (TIC) Total carbon (C), total nitrogen (N) and sulfur (S) were analyzed using a Vario Micro Cube combustion elemental analyser (Elementar, Germany). Alkyl lipid biomarkers were extracted by accelerated solvent extraction (ASE 300, Thermo, USA) with dichloromethane and methanol (DCM, MeOH; 9:1, v/v at 120°C, 75 bar) (cores Co1305, PS81/283, and Co1308) or via consecutive ultrasonication in DCM:Hexan (1:1), MeOH:DCM (1:1) and MeOH (core Co1306 and the peat and soil samples). The total lipid extract (TLE) was saponified with 0.5 M KOH in MeOH and water (9:1, v/v) at 80°C for 2 h. Neutral lipids (NL) were extracted from the TLE with dichloromethane by liquid-liquid phase separation. Alkanes were purified from NL by silica gel column chromatography (SiO2, deactivated, mesh-size 60) by elution with hexane and alkanols by elution with chloroform. To purify alkanoic acids, the remaining TLE was acidified to pH 1 and acids were extracted from the TLE with dichloromethane by liquid-liquid phase separation. Prior to analysis by gas chromatography (GC, Agilent 7890B, Agilent Technologies, USA) equipped with a flame ionization detector (FID), alkanols were acetylated and alkanoic acids were converted to methyl ester derivatives. Alkanes, alkanols and alkanoic acids were identified and quantified against authentic external standards. Concentrations of all reported lipid biomarkers were normalized to the TOC content of the respective sediment samples (µg/g TOC) and are given as fractional abundances for each compound class. Sediment and plant samples for Radiocarbon (14C) analysis were pre-treated and analyzed as described by Rethemeyer et al. (2019). For the analysis of 14C in bulk organic carbon (bulk OC) and plant fossils were washed with 1% HCl (1 hr, 60°C followed by ca. 10 hr at room temperature) to remove carbonates. The acid insoluble fraction was then graphitized and analyzed for 14C at the CologneAMS facility (Cologne, Germany). For compound-specific 14C analysis individual alkanoic acids, alkanes and alkanols were isolated by preparative capillary GC using a gas chromatograph (7680 Agilent Technologies, USA) equipped with a CIS 4 injection system (Gerstel, Germany), coupled with a preparative fraction collector (PFC; Gerstel, Germany). The purity and quantity of individual compounds was monitored by GC-FID (Agilent 7890B equipped with an on-column injector, Agilent Technologies, USA). Samples with a purity of 〉98% were processed further. For samples from core Co1305 compound-specific 14C analysis was performed on a MICADAS AMS system equipped with a gas ionization source (ETH Zurich, Switzerland, Wacker et al., 2010) on purified CO2 produced by combustion in vacuum-sealed quartz tubes. Compound ages were corrected for processing blanks and carbon added during derivatization using mass balance (Berg et al., 2020). For core Co1308 compound-specific 14C analysis was conducted on the original isolated compounds with a High Voltage 6 MV Tandetron coupled to an EA-GIS periphery at the CologneAMS facility (Stolz et al., 2019). Compound-specific F14C values were corrected for processing blanks and the addition of one carbon atom during derivatization using mass balance (Berg et al. 2020 and Scheidt et al., 2021). AMS results are reported as fraction modern (F14C) and conventional radiocarbon ages (yrs BP) as outlined in Stuiver & Polach (1977)
    Keywords: alkanes; alkanoic acids; alkanols; alkyl lipids; compound-specific radiocarbon analysis; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; sediments; South Georgia; SPP1158
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 58
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    Oceanographic variability and copepod traits in two coastal ecosystems in the Southeast Pacific (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Temperature, salinity, and pH, along with copepod traits were measured inter-daily (i.e., on average each 4 days) in an upwelling and temperate estuary in the coastal Southeast Pacific. The purpose of the study was to evaluate the phenotypic plasticity of local copepod populations to natural extreme low pH conditions. Temperature and salinity were measured with CTD (Ocean Seven 305 Plus in the estuary system, and SeaBird SBE19 Plus in the upwelling location). Samples for pH measurements were collected with an oceanographic bottle. pH was measured potentiometrically, and calibrated with Tris buffer at 25 °C. Adult females of the copepod species Acartia tonsa (Copepoda, Calanoidea) were sampled with a WP2 plankton net. Cephalothorax length was measured under a stereomicroscope. Egg production was estimated individually over 24 h incubation.
    Keywords: Acartia tonsa, cephalotorax length; Acartia tonsa, egg production rate per female; Antofagasta_upw; Calculated; Calculated according to Vargas and González (2004); Calculated using the CO2sys_v3.0 software (Pierrot et al. 2021); Carbon, organic, particulate; Carbon chemistry; Coastal variability; copepods; CTD; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Event label; extreme events; gene flow; Group; Habitat; Latitude of event; Longitude of event; pH; phenotypic plasticity; Salinity; Southeast Pacific; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Stereo microscope, Leica Microsystems, EZ4 HD; Temperate and subtropical systems; Temperature, water; Valdivia_est; Year of sampling
    Type: Dataset
    Format: text/tab-separated-values, 1914 data points
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  • 59
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    GDGT concentrations in ELSA stack samples of the Eifel volcanic field, Germany (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Isoprenoid and branched GDGTs were measured in soils and lake sediment samples from the Eifel Volcanic field. The modern samples were used to understand sources of GDGTs in sediments, while sediment core samples from Schalkenmehrener Maar, Holzmaar, and Auel Maar were used to reconstruct temperatures during the past 60,000 years. Age model information and additional proxy data from the ELSA-20 stack are found in Sirocko et al., 2021 and Sirocko et al., 2022
    Keywords: Age; AU3; AU4; Aueler Maar, Eifel, Germany; BayMBT - Bayesian calibration for the branched GDGT MBT5Me proxy; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIa''; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Cable Core Drilling; Calculated according to Raberg et al. (2021); CCD; Comment; Crenarchaeol; Crenarchaeol isomer; DEPTH, sediment/rock; Elevation of event; ELSA_AU3; ELSA_AU4; ELSA_HM3; ELSA_HM4; ELSA_SMf1; ELSA_SMf2; Europe; Event label; FRC; Freeze corer; GDGTs; High Performance Liquid Chromatography (HPLC); HM3; HM4; Isoprenoid acyclic glycerol dialkyl glycerol tetraether; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether; Lacustrine-palustrine sediment; Lake Holzmaar, Eifel, Germany; Latitude of event; Longitude of event; Paleoclimate; PCUWI; Piston corer, UWITEC; Sample ID; Sample mass; Schalkenmehrener Maar, Eifel, Germany; SMf1; SMf2; Temperature, air, mean of months, above freezing
    Type: Dataset
    Format: text/tab-separated-values, 9508 data points
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  • 60
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    Benthic foraminiferal abundances from eastern Baffin Bay, sediment core AMD14-204C (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Baffin Bay is a semi-enclosed basin connecting the Arctic Ocean and the western North Atlantic, thus making out a significant pathway for heat exchange. Here we reconstruct the alternating advection of relatively warmer and saline Atlantic waters versus the incursion of colder Arctic water masses entering Baffin Bay through the multiple gateways in the Canadian Arctic Archipelago and the Nares Strait during the Holocene. We carried out benthic foraminiferal assemblage analyses, X-ray fluorescence scanning, and radiocarbon dating of a 738 cm long marine sediment core retrieved from eastern Baffin Bay near Upernavik, Greenland (Core AMD14-204C; 987m water depth). Results reveal that eastern Baffin Bay was subjected to several oceanographic changes during the last 9.2 kyrCE1. Waning deglacial conditions with enhanced meltwater influxes and an extensive sea-ice cover prevailed in eastern Baffin Bay from 9.2 to 7.9 ka. A transition towards bottom water amelioration is recorded at 7.9 ka by increased advection of Atlantic water masses, encompassing the Holocene Thermal Maximum. A cold period with growing sea-ice cover at 6.7 ka interrupts the overall warm subsurface water conditions, promoted by a weaker northward flow of Atlantic waters. The onset of the neoglaciation at ca. 2.9 ka is marked by an abrupt transition towards a benthic fauna dominated by agglutinated species, likely in part explained by a reduction of the influx of Atlantic Water, allowing an increased influx of the cold, corrosive Baffin Bay Deep Water originating from the Arctic Ocean to enter Baffin Bay through the Nares Strait. These cold subsurface water conditions persisted throughout the Late Holocene, only interrupted by short-lived warmings superimposed on this cooling trend.
    Keywords: AGE; AMD14_1b; AMD14-204_CASQ; AMD14-204C; ArcticNet; Astrononion gallowayi; Baffin Bay; Benthic foraminifera; Bolivina pseudopunctata; Buliminella elegantissima; Calypso square corer; CASQ; Cassidulina neoteretis; Cassidulina reniforme; CCGS Amundsen; DEPTH, sediment/rock; Elphidium clavatum; Epistominella arctica; Epistominella vitrea; Foraminifera, benthic; Foraminifera, benthic agglutinated; Foraminifera, benthic atlantic species; Foraminifera, benthic calcareous; Foraminifera, planktic; Foraminifera, sea ice species; Holocene; Islandiella norcrossi; Nonionellina labradorica; Portatrochammina bipolaris; Psammosphaera fusca; Ratio; Recurvoides trochamminiformis; Reophax subfusiformis; Stainforthia feylingi; Textularia earlandi; Textularia kattegatensis; Textularia torquata
    Type: Dataset
    Format: text/tab-separated-values, 2106 data points
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  • 61
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    Absorption, attenuation, scattering and backscattering inline data from the Gulf of Alaska in September 2020 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The following data set contains particulate absorption, particulate attenuation, and particulate backscatter data from an optical inline system. Auxiliary data from the R/V Sikuliaq's existing underway system has also been attached, this includes standard shipboard physical oceanographic and meteorological data. The data was collected continuously during the cruises following previous work by the authors and IOCCG protocols (Burt et al., 2018 and IOCCG, 2019). The data has been binned to one-minute intervals to match with the existing underway data. The data was collected in the Northern Gulf of Alaska (NGA), as part of the expansion of the Long-Term Ecological Research (LTER) program in the Gulf. The data was collected using an ACS and BB3-eco triplet, on cruise SKQ202012s in the NGA.
    Keywords: Absorption coefficient, 402 nm; Absorption coefficient, 404 nm; Absorption coefficient, 406 nm; Absorption coefficient, 408 nm; Absorption coefficient, 410 nm; Absorption coefficient, 412 nm; Absorption coefficient, 414 nm; Absorption coefficient, 416 nm; Absorption coefficient, 418 nm; Absorption coefficient, 420 nm; Absorption coefficient, 422 nm; Absorption coefficient, 424 nm; Absorption coefficient, 426 nm; Absorption coefficient, 428 nm; Absorption coefficient, 430 nm; Absorption coefficient, 432 nm; Absorption coefficient, 434 nm; Absorption coefficient, 436 nm; Absorption coefficient, 438 nm; Absorption coefficient, 440 nm; Absorption coefficient, 442 nm; Absorption coefficient, 444 nm; Absorption coefficient, 446 nm; Absorption coefficient, 448 nm; Absorption coefficient, 450 nm; Absorption coefficient, 452 nm; Absorption coefficient, 454 nm; Absorption coefficient, 456 nm; Absorption coefficient, 458 nm; Absorption coefficient, 460 nm; Absorption coefficient, 462 nm; Absorption coefficient, 464 nm; Absorption coefficient, 466 nm; Absorption coefficient, 468 nm; Absorption coefficient, 470 nm; Absorption coefficient, 472 nm; Absorption coefficient, 474 nm; Absorption coefficient, 476 nm; Absorption coefficient, 478 nm; Absorption coefficient, 480 nm; Absorption coefficient, 482 nm; Absorption coefficient, 484 nm; Absorption coefficient, 486 nm; Absorption coefficient, 488 nm; Absorption coefficient, 490 nm; Absorption coefficient, 492 nm; Absorption coefficient, 494 nm; Absorption coefficient, 496 nm; Absorption coefficient, 498 nm; Absorption coefficient, 500 nm; Absorption coefficient, 502 nm; Absorption coefficient, 504 nm; Absorption coefficient, 506 nm; Absorption coefficient, 508 nm; Absorption coefficient, 510 nm; Absorption coefficient, 512 nm; Absorption coefficient, 514 nm; Absorption coefficient, 516 nm; Absorption coefficient, 518 nm; Absorption coefficient, 520 nm; Absorption coefficient, 522 nm; Absorption coefficient, 524 nm; Absorption coefficient, 526 nm; Absorption coefficient, 528 nm; Absorption coefficient, 530 nm; Absorption coefficient, 532 nm; Absorption coefficient, 534 nm; Absorption coefficient, 536 nm; Absorption coefficient, 538 nm; Absorption coefficient, 540 nm; Absorption coefficient, 542 nm; Absorption coefficient, 544 nm; Absorption coefficient, 546 nm; Absorption coefficient, 548 nm; Absorption coefficient, 550 nm; Absorption coefficient, 552 nm; Absorption coefficient, 554 nm; Absorption coefficient, 556 nm; Absorption coefficient, 558 nm; Absorption coefficient, 560 nm; Absorption coefficient, 562 nm; Absorption coefficient, 564 nm; Absorption coefficient, 566 nm; Absorption coefficient, 568 nm; Absorption coefficient, 570 nm; Absorption coefficient, 572 nm; Absorption coefficient, 574 nm; Absorption coefficient, 576 nm; Absorption coefficient, 578 nm; Absorption coefficient, 580 nm; Absorption coefficient, 582 nm; Absorption coefficient, 584 nm; Absorption coefficient, 586 nm; Absorption coefficient, 588 nm; Absorption coefficient, 590 nm; Absorption coefficient, 592 nm; Absorption coefficient, 594 nm; Absorption coefficient, 596 nm; Absorption coefficient, 598 nm; Absorption coefficient, 600 nm; Absorption coefficient, 602 nm; Absorption coefficient, 604 nm; Absorption coefficient, 606 nm; Absorption coefficient, 608 nm; Absorption coefficient, 610 nm; Absorption coefficient, 612 nm; Absorption coefficient, 614 nm; Absorption coefficient, 616 nm; Absorption coefficient, 618 nm; Absorption coefficient, 620 nm; Absorption coefficient, 622 nm; Absorption coefficient, 624 nm; Absorption coefficient, 626 nm; Absorption coefficient, 628 nm; Absorption coefficient, 630 nm; Absorption coefficient, 632 nm; Absorption coefficient, 634 nm; Absorption coefficient, 636 nm; Absorption coefficient, 638 nm; Absorption coefficient, 640 nm; Absorption coefficient, 642 nm; Absorption coefficient, 644 nm; Absorption coefficient, 646 nm; Absorption coefficient, 648 nm; Absorption coefficient, 650 nm; Absorption coefficient, 652 nm; Absorption coefficient, 654 nm; Absorption coefficient, 656 nm; Absorption coefficient, 658 nm; Absorption coefficient, 660 nm; Absorption coefficient, 662 nm; Absorption coefficient, 664 nm; Absorption coefficient, 666 nm; Absorption coefficient, 668 nm; Absorption coefficient, 670 nm; Absorption coefficient, 672 nm; Absorption coefficient, 674 nm; Absorption coefficient, 676 nm; Absorption coefficient, 678 nm; Absorption coefficient, 680 nm; Absorption coefficient, 682 nm; Absorption coefficient, 684 nm; Absorption coefficient, 686 nm; Absorption coefficient, 688 nm; Absorption coefficient, 690 nm; Absorption coefficient, 692 nm; Absorption coefficient, 694 nm; Absorption coefficient, 696 nm; Absorption coefficient, 698 nm; Absorption coefficient, 700 nm; Absorption coefficient, 702 nm; Absorption coefficient, 704 nm; Absorption coefficient, 706 nm; Absorption coefficient, 708 nm; Absorption coefficient, 710 nm; Absorption coefficient, 712 nm; Absorption coefficient, 714 nm; Absorption coefficient, 716 nm; Absorption coefficient, 718 nm; Absorption coefficient, 720 nm; Absorption coefficient, 722 nm; Absorption coefficient, 724 nm; Absorption coefficient, 726 nm; Absorption coefficient, 728 nm; Absorption coefficient, 730 nm; Absorption coefficient, 732 nm; Absorption coefficient, 734 nm; Absorption coefficient, 736 nm; Absorption coefficient, 738 nm; According to Graff et al. (2015); ACS; Attenuation coefficient, 402 nm; Attenuation coefficient, 404 nm; Attenuation coefficient, 406 nm; Attenuation coefficient, 408 nm; Attenuation coefficient, 410 nm; Attenuation coefficient, 412 nm; Attenuation coefficient, 414 nm; Attenuation coefficient, 416 nm; Attenuation coefficient, 418 nm; Attenuation coefficient, 420 nm; Attenuation coefficient, 422 nm; Attenuation coefficient, 424 nm; Attenuation coefficient, 426 nm; Attenuation coefficient, 428 nm; Attenuation coefficient, 430 nm; Attenuation coefficient, 432 nm; Attenuation coefficient, 434 nm; Attenuation coefficient, 436 nm; Attenuation coefficient, 438 nm; Attenuation coefficient, 440 nm; Attenuation coefficient, 442 nm; Attenuation coefficient, 444 nm; Attenuation coefficient, 446 nm; Attenuation coefficient, 448 nm; Attenuation coefficient, 450 nm; Attenuation coefficient, 452 nm; Attenuation coefficient, 454 nm; Attenuation coefficient, 456 nm; Attenuation coefficient, 458 nm; Attenuation coefficient, 460 nm; Attenuation coefficient, 462 nm; Attenuation coefficient, 464 nm; Attenuation coefficient, 466 nm; Attenuation coefficient, 468 nm; Attenuation coefficient, 470 nm; Attenuation coefficient, 472 nm; Attenuation coefficient, 474 nm; Attenuation coefficient, 476 nm; Attenuation coefficient, 478 nm; Attenuation coefficient, 480 nm; Attenuation coefficient, 482 nm; Attenuation coefficient, 484 nm; Attenuation coefficient, 486 nm; Attenuation coefficient, 488 nm; Attenuation coefficient, 490 nm; Attenuation coefficient, 492 nm; Attenuation coefficient, 494 nm; Attenuation coefficient, 496 nm; Attenuation coefficient, 498 nm; Attenuation coefficient, 500 nm; Attenuation coefficient, 502 nm; Attenuation coefficient, 504 nm; Attenuation coefficient, 506 nm; Attenuation coefficient, 508 nm; Attenuation coefficient, 510 nm; Attenuation coefficient, 512 nm; Attenuation coefficient, 514 nm; Attenuation coefficient, 516 nm; Attenuation coefficient, 518 nm; Attenuation coefficient, 520 nm; Attenuation coefficient, 522 nm; Attenuation coefficient, 524 nm; Attenuation coefficient, 526 nm; Attenuation coefficient, 528 nm; Attenuation coefficient, 530 nm; Attenuation coefficient, 532 nm; Attenuation coefficient, 534 nm; Attenuation coefficient, 536 nm; Attenuation coefficient, 538 nm; Attenuation coefficient, 540 nm; Attenuation coefficient, 542 nm; Attenuation coefficient, 544 nm; Attenuation coefficient, 546 nm; Attenuation coefficient, 548 nm; Attenuation coefficient, 550 nm; Attenuation coefficient, 552 nm; Attenuation coefficient, 554 nm; Attenuation
    Type: Dataset
    Format: text/tab-separated-values, 3646149 data points
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  • 62
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    Absorption, attenuation, scattering and backscattering inline data from the Gulf of Alaska in June/July 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The following data set contains particulate absorption, particulate attenuation, and particulate backscatter data from an optical inline system. Auxiliary data from the R/V Sikuliaq's existing underway system has also been attached, this includes standard shipboard physical oceanographic and meteorological data. The data was collected continuously during the cruises following previous work by the authors and IOCCG protocols (Burt et al., 2018 and IOCCG, 2019). The data has been binned to one-minute intervals to match with the existing underway data. The data was collected in the Northern Gulf of Alaska (NGA), as part of the expansion of the Long-Term Ecological Research (LTER) program in the Gulf. The data was collected using an ACS and BB3-eco triplet, on cruise SKQ202110s in the NGA.
    Keywords: Absorption coefficient, 402 nm; Absorption coefficient, 404 nm; Absorption coefficient, 406 nm; Absorption coefficient, 408 nm; Absorption coefficient, 410 nm; Absorption coefficient, 412 nm; Absorption coefficient, 414 nm; Absorption coefficient, 416 nm; Absorption coefficient, 418 nm; Absorption coefficient, 420 nm; Absorption coefficient, 422 nm; Absorption coefficient, 424 nm; Absorption coefficient, 426 nm; Absorption coefficient, 428 nm; Absorption coefficient, 430 nm; Absorption coefficient, 432 nm; Absorption coefficient, 434 nm; Absorption coefficient, 436 nm; Absorption coefficient, 438 nm; Absorption coefficient, 440 nm; Absorption coefficient, 442 nm; Absorption coefficient, 444 nm; Absorption coefficient, 446 nm; Absorption coefficient, 448 nm; Absorption coefficient, 450 nm; Absorption coefficient, 452 nm; Absorption coefficient, 454 nm; Absorption coefficient, 456 nm; Absorption coefficient, 458 nm; Absorption coefficient, 460 nm; Absorption coefficient, 462 nm; Absorption coefficient, 464 nm; Absorption coefficient, 466 nm; Absorption coefficient, 468 nm; Absorption coefficient, 470 nm; Absorption coefficient, 472 nm; Absorption coefficient, 474 nm; Absorption coefficient, 476 nm; Absorption coefficient, 478 nm; Absorption coefficient, 480 nm; Absorption coefficient, 482 nm; Absorption coefficient, 484 nm; Absorption coefficient, 486 nm; Absorption coefficient, 488 nm; Absorption coefficient, 490 nm; Absorption coefficient, 492 nm; Absorption coefficient, 494 nm; Absorption coefficient, 496 nm; Absorption coefficient, 498 nm; Absorption coefficient, 500 nm; Absorption coefficient, 502 nm; Absorption coefficient, 504 nm; Absorption coefficient, 506 nm; Absorption coefficient, 508 nm; Absorption coefficient, 510 nm; Absorption coefficient, 512 nm; Absorption coefficient, 514 nm; Absorption coefficient, 516 nm; Absorption coefficient, 518 nm; Absorption coefficient, 520 nm; Absorption coefficient, 522 nm; Absorption coefficient, 524 nm; Absorption coefficient, 526 nm; Absorption coefficient, 528 nm; Absorption coefficient, 530 nm; Absorption coefficient, 532 nm; Absorption coefficient, 534 nm; Absorption coefficient, 536 nm; Absorption coefficient, 538 nm; Absorption coefficient, 540 nm; Absorption coefficient, 542 nm; Absorption coefficient, 544 nm; Absorption coefficient, 546 nm; Absorption coefficient, 548 nm; Absorption coefficient, 550 nm; Absorption coefficient, 552 nm; Absorption coefficient, 554 nm; Absorption coefficient, 556 nm; Absorption coefficient, 558 nm; Absorption coefficient, 560 nm; Absorption coefficient, 562 nm; Absorption coefficient, 564 nm; Absorption coefficient, 566 nm; Absorption coefficient, 568 nm; Absorption coefficient, 570 nm; Absorption coefficient, 572 nm; Absorption coefficient, 574 nm; Absorption coefficient, 576 nm; Absorption coefficient, 578 nm; Absorption coefficient, 580 nm; Absorption coefficient, 582 nm; Absorption coefficient, 584 nm; Absorption coefficient, 586 nm; Absorption coefficient, 588 nm; Absorption coefficient, 590 nm; Absorption coefficient, 592 nm; Absorption coefficient, 594 nm; Absorption coefficient, 596 nm; Absorption coefficient, 598 nm; Absorption coefficient, 600 nm; Absorption coefficient, 602 nm; Absorption coefficient, 604 nm; Absorption coefficient, 606 nm; Absorption coefficient, 608 nm; Absorption coefficient, 610 nm; Absorption coefficient, 612 nm; Absorption coefficient, 614 nm; Absorption coefficient, 616 nm; Absorption coefficient, 618 nm; Absorption coefficient, 620 nm; Absorption coefficient, 622 nm; Absorption coefficient, 624 nm; Absorption coefficient, 626 nm; Absorption coefficient, 628 nm; Absorption coefficient, 630 nm; Absorption coefficient, 632 nm; Absorption coefficient, 634 nm; Absorption coefficient, 636 nm; Absorption coefficient, 638 nm; Absorption coefficient, 640 nm; Absorption coefficient, 642 nm; Absorption coefficient, 644 nm; Absorption coefficient, 646 nm; Absorption coefficient, 648 nm; Absorption coefficient, 650 nm; Absorption coefficient, 652 nm; Absorption coefficient, 654 nm; Absorption coefficient, 656 nm; Absorption coefficient, 658 nm; Absorption coefficient, 660 nm; Absorption coefficient, 662 nm; Absorption coefficient, 664 nm; Absorption coefficient, 666 nm; Absorption coefficient, 668 nm; Absorption coefficient, 670 nm; Absorption coefficient, 672 nm; Absorption coefficient, 674 nm; Absorption coefficient, 676 nm; Absorption coefficient, 678 nm; Absorption coefficient, 680 nm; Absorption coefficient, 682 nm; Absorption coefficient, 684 nm; Absorption coefficient, 686 nm; Absorption coefficient, 688 nm; Absorption coefficient, 690 nm; Absorption coefficient, 692 nm; Absorption coefficient, 694 nm; Absorption coefficient, 696 nm; Absorption coefficient, 698 nm; Absorption coefficient, 700 nm; Absorption coefficient, 702 nm; Absorption coefficient, 704 nm; Absorption coefficient, 706 nm; Absorption coefficient, 708 nm; Absorption coefficient, 710 nm; Absorption coefficient, 712 nm; Absorption coefficient, 714 nm; Absorption coefficient, 716 nm; Absorption coefficient, 718 nm; Absorption coefficient, 720 nm; Absorption coefficient, 722 nm; Absorption coefficient, 724 nm; Absorption coefficient, 726 nm; Absorption coefficient, 728 nm; Absorption coefficient, 730 nm; Absorption coefficient, 732 nm; Absorption coefficient, 734 nm; Absorption coefficient, 736 nm; Absorption coefficient, 738 nm; According to Graff et al. (2015); ACS; Attenuation coefficient, 402 nm; Attenuation coefficient, 404 nm; Attenuation coefficient, 406 nm; Attenuation coefficient, 408 nm; Attenuation coefficient, 410 nm; Attenuation coefficient, 412 nm; Attenuation coefficient, 414 nm; Attenuation coefficient, 416 nm; Attenuation coefficient, 418 nm; Attenuation coefficient, 420 nm; Attenuation coefficient, 422 nm; Attenuation coefficient, 424 nm; Attenuation coefficient, 426 nm; Attenuation coefficient, 428 nm; Attenuation coefficient, 430 nm; Attenuation coefficient, 432 nm; Attenuation coefficient, 434 nm; Attenuation coefficient, 436 nm; Attenuation coefficient, 438 nm; Attenuation coefficient, 440 nm; Attenuation coefficient, 442 nm; Attenuation coefficient, 444 nm; Attenuation coefficient, 446 nm; Attenuation coefficient, 448 nm; Attenuation coefficient, 450 nm; Attenuation coefficient, 452 nm; Attenuation coefficient, 454 nm; Attenuation coefficient, 456 nm; Attenuation coefficient, 458 nm; Attenuation coefficient, 460 nm; Attenuation coefficient, 462 nm; Attenuation coefficient, 464 nm; Attenuation coefficient, 466 nm; Attenuation coefficient, 468 nm; Attenuation coefficient, 470 nm; Attenuation coefficient, 472 nm; Attenuation coefficient, 474 nm; Attenuation coefficient, 476 nm; Attenuation coefficient, 478 nm; Attenuation coefficient, 480 nm; Attenuation coefficient, 482 nm; Attenuation coefficient, 484 nm; Attenuation coefficient, 486 nm; Attenuation coefficient, 488 nm; Attenuation coefficient, 490 nm; Attenuation coefficient, 492 nm; Attenuation coefficient, 494 nm; Attenuation coefficient, 496 nm; Attenuation coefficient, 498 nm; Attenuation coefficient, 500 nm; Attenuation coefficient, 502 nm; Attenuation coefficient, 504 nm; Attenuation coefficient, 506 nm; Attenuation coefficient, 508 nm; Attenuation coefficient, 510 nm; Attenuation coefficient, 512 nm; Attenuation coefficient, 514 nm; Attenuation coefficient, 516 nm; Attenuation coefficient, 518 nm; Attenuation coefficient, 520 nm; Attenuation coefficient, 522 nm; Attenuation coefficient, 524 nm; Attenuation coefficient, 526 nm; Attenuation coefficient, 528 nm; Attenuation coefficient, 530 nm; Attenuation coefficient, 532 nm; Attenuation coefficient, 534 nm; Attenuation coefficient, 536 nm; Attenuation coefficient, 538 nm; Attenuation coefficient, 540 nm; Attenuation coefficient, 542 nm; Attenuation coefficient, 544 nm; Attenuation coefficient, 546 nm; Attenuation coefficient, 548 nm; Attenuation coefficient, 550 nm; Attenuation coefficient, 552 nm; Attenuation coefficient, 554 nm; Attenuation
    Type: Dataset
    Format: text/tab-separated-values, 5313583 data points
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  • 63
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    Master track of HEINCKE cruise HE635 in 1 sec resolution (zipped, 50 MB) (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-05-31
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE635 were processed to receive a validated master track which can be used as reference of further expedition data. During HE635 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; CT; HE635; HE635-track; Heincke; MecoMM-NS II; North Sea; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 50.1 MBytes
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  • 64
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    Nickel toxicity to the dinoflagellate Amphidinium carterae, the coccolithophore Emiliania huxleyi, the diatom Thalassiosira weissflogii during laboratory experiments in 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: In laboratory culture experiments, phytoplankton species were exposed to a range of nickel concentrations at GEOMAR Helmholtz Centre for Ocean Research Kiel. The experiments were perfomed between Feburary and August 2021. Overall, three experiments were conducted, each with a different taxonomical species (the dinoflagellate Amphidinium carterae, the coccolithophore Emiliania huxleyi and the diatom Thalassiosira weissflogii). Cells were acclimated to experiment conditions for at least 1 week (under salinity 33, 18˚C, 12:12 light and dark cycle). Throughout the experiment cell density was recorded with BD Accuri C6 Flow Cytometer. After the experiment, nickel concentration was measured with ThermoFisher Scientific ElementXR. The study was supported by the OCEAN-ALK-ALIGN project funded by the Carbon to Sea and the Thistledown Foundation.
    Keywords: Amphidinium carterae; CDRmare; Cell density; Comment; DAM CDRmare - RETAKE: CO2 removal by alkalinity enhancement: potential, benefits and risks; Day; Dilution factor; Emiliania huxleyi; Flow cytometer, BD Biosciences, BD Accuri C6; Inductively coupled plasma mass spectrometer (ICP-MS), ThermoFisher Scientific, Element XR; Laboratory experiment; nickel; Nickel; ocean alkalinity enhancement; Phytoplankton; Phytoplankton, forward scatter; Phytoplankton, red fluorescence; Replicate; Research Mission of the German Marine Research Alliance (DAM): Marine carbon sinks in decarbonisation pathways; RETAKE; Sample volume; Sampling date/time, experiment; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Thalassiosira weissflogii; toxicity; Treatment: nickel; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 6613 data points
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  • 65
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    GDGTs in modern soils and lake sediments, Eifel volcanic field, Germany (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Isoprenoid and branched GDGTs were measured in soils and lake sediment samples from the Eifel Volcanic field. The modern samples were used to understand sources of GDGTs in sediments, while sediment core samples from Schalkenmehrener Maar, Holzmaar, and Auel Maar were used to reconstruct temperatures during the past 60,000 years. Age model information and additional proxy data from the ELSA-20 stack are found in Sirocko et al., 2021 and Sirocko et al., 2022
    Keywords: BayMBT - Bayesian calibration for the branched GDGT MBT5Me proxy; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIa''; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Calculated according to Raberg et al. (2021); Crenarchaeol; Crenarchaeol isomer; DEPTH, sediment/rock; Elevation of event; ELSA_GMF; ELSA_HM3; ELSA_SMf1; ELSA_SMf2; Europe; Event label; FRC; Freeze corer; GDGTs; Gemündener Maar, Eifel, Germany; GM_soil; High Performance Liquid Chromatography (HPLC); HM_soil; HM_surface; HM3; Isoprenoid acyclic glycerol dialkyl glycerol tetraether; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether; Lacustrine-palustrine sediment; Lake, water depth; Lake Holzmaar, Eifel, Germany; Latitude of event; Longitude of event; Paleoclimate; PCUWI; Piston corer, UWITEC; Sample ID; Sample mass; Sample type; Schalkenmehrener Maar, Eifel, Germany; Sediment Grabber; SGRAB; Site; SM_soil; SM_surface; SMf1; SMf2; SOILS; Soil sample; Temperature, air, mean of months, above freezing; Weinfelder Maar, Eifel, Germany; WM_soil
    Type: Dataset
    Format: text/tab-separated-values, 1424 data points
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  • 66
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    A global database of dissolved organic matter (DOM) concentration measurements in coastal waters (CoastDOM v.1) (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: This global database (CoastDOM v.1) contains both previously published and unpublished measurements of Dissolved organic carbon (DOC), nitrogen (DON) and phosphorus (DOP) in coastal waters. The dataset also contains hydrographic data such as temperature and salinity and, to the extent possible, other biogeochemical variables (e.g., Chlorophyll-a, inorganic nutrients) and the inorganic carbon system (e.g., dissolved inorganic carbon and total alkalinity). The data included were collected from 1978 to 2022 and consist of 62339 data points for DOC, 20360 for DON and 13440 for DOP.
    Keywords: Alkalinity, total; Ammonium; Analytical method; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, organic, particulate; Chlorophyll a; Coastal waters; Comment; DATE/TIME; DEPTH, water; Dissolved Organic Carbon; Dissolved Organic Matter; dissolved organic nitrogen; dissolved organic phosphorus; ELEVATION; global database;; Hydrogen phosphate; Institution; LATITUDE; Location; LONGITUDE; Nitrate and Nitrite; Nitrogen, organic, dissolved; Nitrogen, particulate; Nitrogen, total dissolved; Phosphorus, organic, dissolved; Phosphorus, particulate; Phosphorus, total dissolved; Principal investigator; Quality flag, alkalinity, total; Quality flag, ammonium; Quality flag, carbon, inorganic, dissolved; Quality flag, carbon, organic, dissolved; Quality flag, carbon, organic, particulate; Quality flag, chlorophyll a; Quality flag, hydrogen phosphate; Quality flag, nitrate and nitrite; Quality flag, nitrogen, particulate; Quality flag, nitrogen, total dissolved; Quality flag, phosphorus, particulate; Quality flag, phosphorus, total dissolved; Reference/source; Salinity; Sample ID; Suspended solids, total; Temperature, water; World Oceans Circulation Experiment (WOCE) quality flags according to Jiang et al. (2022)
    Type: Dataset
    Format: text/tab-separated-values, 1286555 data points
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  • 67
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    Porosity profiles of sediments in Atacama Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Sediment cores were recovered by multiple corers. Upon recovery, sediment cores were brought to a thermoregulated room kept at in situ temperature, here sediment cores were sectioned in predefinded sediment horizons and frozen for later analysis. On land, the frozen sediment was thawn and homogenized. Water contents of the respective samples were determined as the weight loss after 24 h at 105°C and wet density from the weight of a given sample volume. Porosity was calculated from the two measured parameters.
    Keywords: Atacama Trench; B_LANDER; Bottom lander; Calculated from weight loss after drying; Date/Time of event; Deep sea; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Hadal trench; Latitude of event; Longitude of event; porosity; Porosity; sediment; Site; SO261; SO261_101-1; SO261_111-1; SO261_16-1; SO261_29-1; SO261_4-1; SO261_43-1; SO261_58-1; SO261_69-1; SO261_84-1; Sonne_2
    Type: Dataset
    Format: text/tab-separated-values, 536 data points
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  • 68
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    Oxygen microprofiles measured in situ in sediments of Atacama Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Oxygen microprofiles were measured using an autonomous benthic lander system. Once the lander had stabilized at the seabed, an array of O2 microelectrodes was vertically moved across the sediment-water interface at a predefined resolution - measurements were recorded at each depth after a delay of a few seconds. When the array had reached the maximum measuring depth, sensors were retracted to the start position, and the array was moved horizontally before the measuring routine was repeated (Glud et al. 2021). Sensor signals were converted into O2 concentrations using a linear calibration curve that was based on measurements in the bottom water of known O2 concentration and measurements in the anoxic sediment layers.
    Keywords: B_LANDER; Bottom lander; Clark type electrochemical Oxygen microsensor; Date/Time of event; Deep sea; DEPTH, sediment/rock; Elevation of event; Event label; Hadal trench; Latitude of event; Longitude of event; microsensor; Microsensor concentration profiles; Oxygen; Profile; sediment; Site; SO261; SO261_101-1; SO261_111-1; SO261_16-1; SO261_29-1; SO261_4-1; SO261_43-1; SO261_58-1; SO261_69-1; SO261_84-1; Sonne_2
    Type: Dataset
    Format: text/tab-separated-values, 322278 data points
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  • 69
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    Porosity profiles of sediments in Kermadec Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Sediment cores were recovered by multiple corer or boxcorer. Upon recovery, sediment cores were brought to a thermoregulated room kept at in situ temperature, here sediment cores were sectioned in predefinded sediment horizons and frozen for later analysis. On land, the frozen sediment was thawn and homogenized. Water contents of the respective samples were determined as the weight loss after 24 h at 105°C and wet density from the weight of a given sample volume. Porosity was calculated from the two measured parameters.
    Keywords: BC; Box corer; Calculated from weight loss after drying; Date/Time of event; Deep sea; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Hadal trench; Kermadec trench; Kermadec Trench; Latitude of event; Longitude of event; MUC; MultiCorer; porosity; Porosity; sediment; Site; Site K3; Site K4; Site K5; TAN1711; TAN1711_K3; TAN1711_K4-1; TAN1711_K5-1; TAN1711_K6; TAN1711_K7; Tangaroa
    Type: Dataset
    Format: text/tab-separated-values, 208 data points
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  • 70
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    Oxygen microprofiles measured in situ in sediments of Kermadec Trench and adjacent abyssal plains (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: Oxygen microprofiles were measured using an autonomous benthic lander system. Once the lander had stabilized at the seabed, an array of O2 microelectrodes was vertically moved across the sediment-water interface at a predefined resolution - measurements were recorded at each depth after a delay of a few seconds. When the array had reached the maximum measuring depth, sensors were retracted to the start position, and the array was moved horizontally before the measuring routine was repeated (Glud et al. 2021). Sensor signals were converted into O2 concentrations using a linear calibration curve that was based on measurements in the bottom water of known O2 concentration and measurements in the anoxic sediment layers.
    Keywords: B_LANDER; Bottom lander; Clark type electrochemical Oxygen microsensor; Date/Time of event; Deep sea; DEPTH, sediment/rock; Elevation of event; Event label; HADAL; Hadal lander; Hadal trench; Kermadec trench; Kermadec Trench; Latitude of event; Longitude of event; microsensor; Microsensor concentration profiles; Oxygen; Profile; sediment; Site; Site K2; Site K3; Site K5; Site K6; Site K7; TAN1711; TAN1711_K2-1; TAN1711_K3-1; TAN1711_K4; TAN1711_K5-3; TAN1711_K6-1; TAN1711_K7-1; Tangaroa
    Type: Dataset
    Format: text/tab-separated-values, 77559 data points
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  • 71
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    Magnetic susceptibility and calcium carbonate content at the IODP site 320-U1334 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: These dataset contains data from Integrated Ocean Drilling Program Site U1334, which is correlated in the depth domain to Site 1218 before ages were assigned. Site U1334 Depth (adjusted revised CCSF-A) (armcd), Site 1218 Depth (armcd), Age (ka) (CaCO3 tuned age model), Magnetic Susceptibility (sensor values), and Estimated CaCO3 content (wt%). These data are based on Westerhold et al. (2012), and on Beddow et al. (2018).
    Keywords: 320-U1334; Age, dated; Calcium carbonate; COMPCORE; Composite Core; Depth, composite revised, adjusted; Event label; Exp320; Expedition 320; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP 320; Joides Resolution; Magnetic susceptibility; Pacific Equatorial Age Transect I; Pacific Ocean; PFAR; Planktonic foraminifera; Site U1334
    Type: Dataset
    Format: text/tab-separated-values, 6275 data points
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  • 72
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    Planktonic foraminifera counts and their oxygen and carbon isotopes at the IODP site 320-U1334 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: This dataset contains data from Integrated Ocean Drilling Program Site U1334, which is correlated in the depth domain to Site 1218 before ages were assigned. The dataset contains sample information (Expedition, Site, Hole, etc.), depth (for both Sites U1334 and 1218) and age information (i.e., Site U1334 Depth (CSF-A) (mbsf), Site U1334 Depth (revised CCSF-A) (rmcd), Site U1334 Depth (adjusted revised CCSF-A) (armcd), Site 1218 Depth (armcd) Age (ka) (CaCO3 tuned age model)), planktonic foraminiferal oxygen and carbon isotopes, and the necessary information to compute planktonic foraminiferal accumulation rates.
    Keywords: 320-U1334; Age, dated; Cibicidoides mundulus, δ13C; Cibicidoides mundulus, δ18O; COMPCORE; Composite Core; Core; Cruise/expedition; Density, dry bulk; Dentoglobigerina venezuelana; Dentoglobigerina venezuelana, δ13C; Dentoglobigerina venezuelana, δ18O; Depth, composite revised; Depth, composite revised, adjusted; Depth, section; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Event label; Exp320; Expedition 320; Globigerinoides altiapertura; Globigerinoides altiapertura, δ13C; Globigerinoides altiapertura, δ18O; Globigerinoides primordius; Globigerinoides primordius, δ13C; Globigerinoides primordius, δ18O; Hole; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP 320; Joides Resolution; Oridorsalis umbonatus, δ13C; Oridorsalis umbonatus, δ18O; Pacific Equatorial Age Transect I; Pacific Ocean; Paragloborotalia siakensis; Paragloborotalia siakensis, δ13C; Paragloborotalia siakensis, δ18O; PFAR; Planktonic foraminifera; Sample code/label; Sample mass; Section; Site; Site U1334; Type
    Type: Dataset
    Format: text/tab-separated-values, 15551 data points
    Location Call Number Expected Availability
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  • 73
    facet.materialart.
    Unknown
    Seawater analysis from cruise KH-14-6 in the western South Pacific Ocean along the GEOTRACES transect GP19 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: This data contains the basic hydrological parameters, including temperature, salinity, potential density anomaly, potential temperature, dissolved oxygen, silicate, nitrate, phosphate, and chlorophyll-a concentrations, dissolved (d) Cd, dNi, dZn, dCu, dFe and labile particulate (lp) Fe concentrations in the western South Pacific Ocean along the GEOTRACES transect GP19 (~170°W, 64°S - equator). Seawater samples were collected using a clean CTD (Conductivity, Temperature, and Depth) sampling system with Niskin-X bottles during the Japanese GEOTRACES cruise KH-14-6 onboard the research vessel Hakuho Maru from December 2, 2014 to February 26, 2015. Filtered samples for the determination of dissolved trace metals (dMs) were passed through an AcroPak cartridge filter with a 0.8/0.2 µm pore size (Pall Life Sciences) and were transferred to 250-mL low-density polyethylene (LDPE) bottles (Nalgene). Samples for the determination of total dissolvable trace metals (tdMs) were not filtered. The seawater samples were acidified to pH ~2 with ultrapure HCl (Tamapure AA-10, Tama Chemicals) immediately after collection and were stored at room temperature in the laboratory for several years until analysis. An offline automated solid-phase extraction system (SPE-100, Hiranuma Sangyo) equipped with a column of Nobias Chelate-PA1 resin (Hitachi High-Technologies) was used to preconcentrate the trace metals (Al, Mn, Fe, Co, Ni, Cu, Zn, Cd, and Pb) in seawater (Minami et al., 2015; doi:10.1016/j.aca.2014.11.016). Unfiltered samples were first passed through a 0.45-µm pore size Millex syringe filter (Merck Millipore) and then introduced into the SPE-100 system. The labile particulate metal (lpMs) concentrations were calculated as the difference between tdMs and dMs. Trace metal concentrations were determined using a high-resolution inductively coupled plasma mass spectrometer (HR-ICP-MS, Element 2, Thermo Fisher Scientific) using the calibration curve method. Temperature was measured using a CTD sensor. Salinity was determined using a bench salinometer that was standardized based on the IAPSO standard seawater, and the oxygen content was measured using the Winkler method. Nutrient concentrations were determined by spectrophotometry using an automated analyzer onboard the vessel. Chlorophyll a (Chl. a) was collected on a 25-mm Whatman GF/F glass fiber filter and measured by fluorometry. Samples were collected using a clean CTD (Conductivity, Temperature, and Depth) sampling system with Niskin-X bottles (Sohrin and Bruland, 2011). Filtered samples for dMs determination were passed through an AcroPak cartridge filter with a 0.8/0.2-µm pore size (Pall Life Sciences) by the pressure of compressed air and were transferred to 250-mL low-density polyethylene (LDPE) bottles (Nalgene). Samples for tdMs determination were not filtered and were transferred from Niskin-X bottles to 250-mL LDPE bottles using a silicon tube. Filtered and unfiltered samples were placed in a cleanroom (Class 100) and acidified with 20% HCl (Tamapure AA-10, Tama Chemicals, Japan) to a pH of 1.9–2.0 within 24 h of sample collection.
    Keywords: Alkalinity, total; Cadmium, dissolved; Cadmium, dissolved, total; Cadmium, labile particulate; Chlorophyll a; Copper, dissolved; Copper, dissolved, total; Copper, labile particulate; Cruise/expedition; CTD; Date/Time of event; dCd concentration; dCu concentration; Density, potential anomaly; DEPTH, water; dFe concentration; dNi concentration; dZn concentration; Elevation of event; Event label; GEOTRACES; GF/F WHA1825047, Whatman, UK; Global marine biogeochemical cycles of trace elements and their isotopes; HR-ICP-MS, Thermo Finnigan Element 2; Iron, dissolved; Iron, dissolved, total; Iron, labile particulate; JSPS KAKENHI; KAKENHI; KH-14-6_GR04_B; KH-14-6_GR05_B; KH-14-6_GR06_B; KH-14-6_GR07_B; KH-14-6_GR08_B; KH-14-6_GR09_B; KH-14-6_GR10_B; KH-14-6_GR11_B; KH-14-6_GR12_B; KH-14-6_GR13_B; KH-14-6_GR14_B; KH-14-6_GR15_B; KH-14-6_GR16_B; KH-14-6_GR17_B; KH-14-6_GR18_B; KH-14-6_GR19_B; KH-14-6_GR20_B; KH-14-6_GR21_B; labile particulate Fe concentration; Latitude of event; Longitude of event; Nickel, dissolved; Nickel, dissolved, total; Nitrate; Nitrite; Oxygen; pH; Phosphate; Salinity; SALINO; Salinometer; scavenging; Silicon; South Pacific Ocean; SPEC; Spectrophotometer; Station label; supply from the Fiji basins; Temperature, water; Temperature, water, potential; the western South Pacific Ocean; Titration, Winkler; Type; Zinc, dissolved; Zinc, dissolved, total; Zinc, labile particulate
    Type: Dataset
    Format: text/tab-separated-values, 9572 data points
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  • 74
    facet.materialart.
    Unknown
    Absorption, attenuation, scattering and backscattering inline data from the Gulf of Alaska in April/May 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The following data set contains particulate absorption, particulate attenuation, and particulate backscatter data from an optical inline system. Auxiliary data from the R/V Sikuliaq's existing underway system has also been attached, this includes standard shipboard physical oceanographic and meteorological data. The data was collected continuously during the cruises following previous work by the authors and IOCCG protocols (Burt et al., 2018 and IOCCG, 2019). The data has been binned to one-minute intervals to match with the existing underway data. The data was collected in the Northern Gulf of Alaska (NGA), as part of the expansion of the Long-Term Ecological Research (LTER) program in the Gulf. The data was collected using an ACS and BB3-eco triplet, on cruise SKQ202106s in the NGA.
    Keywords: Absorption coefficient, 402 nm; Absorption coefficient, 404 nm; Absorption coefficient, 406 nm; Absorption coefficient, 408 nm; Absorption coefficient, 410 nm; Absorption coefficient, 412 nm; Absorption coefficient, 414 nm; Absorption coefficient, 416 nm; Absorption coefficient, 418 nm; Absorption coefficient, 420 nm; Absorption coefficient, 422 nm; Absorption coefficient, 424 nm; Absorption coefficient, 426 nm; Absorption coefficient, 428 nm; Absorption coefficient, 430 nm; Absorption coefficient, 432 nm; Absorption coefficient, 434 nm; Absorption coefficient, 436 nm; Absorption coefficient, 438 nm; Absorption coefficient, 440 nm; Absorption coefficient, 442 nm; Absorption coefficient, 444 nm; Absorption coefficient, 446 nm; Absorption coefficient, 448 nm; Absorption coefficient, 450 nm; Absorption coefficient, 452 nm; Absorption coefficient, 454 nm; Absorption coefficient, 456 nm; Absorption coefficient, 458 nm; Absorption coefficient, 460 nm; Absorption coefficient, 462 nm; Absorption coefficient, 464 nm; Absorption coefficient, 466 nm; Absorption coefficient, 468 nm; Absorption coefficient, 470 nm; Absorption coefficient, 472 nm; Absorption coefficient, 474 nm; Absorption coefficient, 476 nm; Absorption coefficient, 478 nm; Absorption coefficient, 480 nm; Absorption coefficient, 482 nm; Absorption coefficient, 484 nm; Absorption coefficient, 486 nm; Absorption coefficient, 488 nm; Absorption coefficient, 490 nm; Absorption coefficient, 492 nm; Absorption coefficient, 494 nm; Absorption coefficient, 496 nm; Absorption coefficient, 498 nm; Absorption coefficient, 500 nm; Absorption coefficient, 502 nm; Absorption coefficient, 504 nm; Absorption coefficient, 506 nm; Absorption coefficient, 508 nm; Absorption coefficient, 510 nm; Absorption coefficient, 512 nm; Absorption coefficient, 514 nm; Absorption coefficient, 516 nm; Absorption coefficient, 518 nm; Absorption coefficient, 520 nm; Absorption coefficient, 522 nm; Absorption coefficient, 524 nm; Absorption coefficient, 526 nm; Absorption coefficient, 528 nm; Absorption coefficient, 530 nm; Absorption coefficient, 532 nm; Absorption coefficient, 534 nm; Absorption coefficient, 536 nm; Absorption coefficient, 538 nm; Absorption coefficient, 540 nm; Absorption coefficient, 542 nm; Absorption coefficient, 544 nm; Absorption coefficient, 546 nm; Absorption coefficient, 548 nm; Absorption coefficient, 550 nm; Absorption coefficient, 552 nm; Absorption coefficient, 554 nm; Absorption coefficient, 556 nm; Absorption coefficient, 558 nm; Absorption coefficient, 560 nm; Absorption coefficient, 562 nm; Absorption coefficient, 564 nm; Absorption coefficient, 566 nm; Absorption coefficient, 568 nm; Absorption coefficient, 570 nm; Absorption coefficient, 572 nm; Absorption coefficient, 574 nm; Absorption coefficient, 576 nm; Absorption coefficient, 578 nm; Absorption coefficient, 580 nm; Absorption coefficient, 582 nm; Absorption coefficient, 584 nm; Absorption coefficient, 586 nm; Absorption coefficient, 588 nm; Absorption coefficient, 590 nm; Absorption coefficient, 592 nm; Absorption coefficient, 594 nm; Absorption coefficient, 596 nm; Absorption coefficient, 598 nm; Absorption coefficient, 600 nm; Absorption coefficient, 602 nm; Absorption coefficient, 604 nm; Absorption coefficient, 606 nm; Absorption coefficient, 608 nm; Absorption coefficient, 610 nm; Absorption coefficient, 612 nm; Absorption coefficient, 614 nm; Absorption coefficient, 616 nm; Absorption coefficient, 618 nm; Absorption coefficient, 620 nm; Absorption coefficient, 622 nm; Absorption coefficient, 624 nm; Absorption coefficient, 626 nm; Absorption coefficient, 628 nm; Absorption coefficient, 630 nm; Absorption coefficient, 632 nm; Absorption coefficient, 634 nm; Absorption coefficient, 636 nm; Absorption coefficient, 638 nm; Absorption coefficient, 640 nm; Absorption coefficient, 642 nm; Absorption coefficient, 644 nm; Absorption coefficient, 646 nm; Absorption coefficient, 648 nm; Absorption coefficient, 650 nm; Absorption coefficient, 652 nm; Absorption coefficient, 654 nm; Absorption coefficient, 656 nm; Absorption coefficient, 658 nm; Absorption coefficient, 660 nm; Absorption coefficient, 662 nm; Absorption coefficient, 664 nm; Absorption coefficient, 666 nm; Absorption coefficient, 668 nm; Absorption coefficient, 670 nm; Absorption coefficient, 672 nm; Absorption coefficient, 674 nm; Absorption coefficient, 676 nm; Absorption coefficient, 678 nm; Absorption coefficient, 680 nm; Absorption coefficient, 682 nm; Absorption coefficient, 684 nm; Absorption coefficient, 686 nm; Absorption coefficient, 688 nm; Absorption coefficient, 690 nm; Absorption coefficient, 692 nm; Absorption coefficient, 694 nm; Absorption coefficient, 696 nm; Absorption coefficient, 698 nm; Absorption coefficient, 700 nm; Absorption coefficient, 702 nm; Absorption coefficient, 704 nm; Absorption coefficient, 706 nm; Absorption coefficient, 708 nm; Absorption coefficient, 710 nm; Absorption coefficient, 712 nm; Absorption coefficient, 714 nm; Absorption coefficient, 716 nm; Absorption coefficient, 718 nm; Absorption coefficient, 720 nm; Absorption coefficient, 722 nm; Absorption coefficient, 724 nm; Absorption coefficient, 726 nm; Absorption coefficient, 728 nm; Absorption coefficient, 730 nm; Absorption coefficient, 732 nm; Absorption coefficient, 734 nm; Absorption coefficient, 736 nm; Absorption coefficient, 738 nm; According to Graff et al. (2015); ACS; Attenuation coefficient, 402 nm; Attenuation coefficient, 404 nm; Attenuation coefficient, 406 nm; Attenuation coefficient, 408 nm; Attenuation coefficient, 410 nm; Attenuation coefficient, 412 nm; Attenuation coefficient, 414 nm; Attenuation coefficient, 416 nm; Attenuation coefficient, 418 nm; Attenuation coefficient, 420 nm; Attenuation coefficient, 422 nm; Attenuation coefficient, 424 nm; Attenuation coefficient, 426 nm; Attenuation coefficient, 428 nm; Attenuation coefficient, 430 nm; Attenuation coefficient, 432 nm; Attenuation coefficient, 434 nm; Attenuation coefficient, 436 nm; Attenuation coefficient, 438 nm; Attenuation coefficient, 440 nm; Attenuation coefficient, 442 nm; Attenuation coefficient, 444 nm; Attenuation coefficient, 446 nm; Attenuation coefficient, 448 nm; Attenuation coefficient, 450 nm; Attenuation coefficient, 452 nm; Attenuation coefficient, 454 nm; Attenuation coefficient, 456 nm; Attenuation coefficient, 458 nm; Attenuation coefficient, 460 nm; Attenuation coefficient, 462 nm; Attenuation coefficient, 464 nm; Attenuation coefficient, 466 nm; Attenuation coefficient, 468 nm; Attenuation coefficient, 470 nm; Attenuation coefficient, 472 nm; Attenuation coefficient, 474 nm; Attenuation coefficient, 476 nm; Attenuation coefficient, 478 nm; Attenuation coefficient, 480 nm; Attenuation coefficient, 482 nm; Attenuation coefficient, 484 nm; Attenuation coefficient, 486 nm; Attenuation coefficient, 488 nm; Attenuation coefficient, 490 nm; Attenuation coefficient, 492 nm; Attenuation coefficient, 494 nm; Attenuation coefficient, 496 nm; Attenuation coefficient, 498 nm; Attenuation coefficient, 500 nm; Attenuation coefficient, 502 nm; Attenuation coefficient, 504 nm; Attenuation coefficient, 506 nm; Attenuation coefficient, 508 nm; Attenuation coefficient, 510 nm; Attenuation coefficient, 512 nm; Attenuation coefficient, 514 nm; Attenuation coefficient, 516 nm; Attenuation coefficient, 518 nm; Attenuation coefficient, 520 nm; Attenuation coefficient, 522 nm; Attenuation coefficient, 524 nm; Attenuation coefficient, 526 nm; Attenuation coefficient, 528 nm; Attenuation coefficient, 530 nm; Attenuation coefficient, 532 nm; Attenuation coefficient, 534 nm; Attenuation coefficient, 536 nm; Attenuation coefficient, 538 nm; Attenuation coefficient, 540 nm; Attenuation coefficient, 542 nm; Attenuation coefficient, 544 nm; Attenuation coefficient, 546 nm; Attenuation coefficient, 548 nm; Attenuation coefficient, 550 nm; Attenuation coefficient, 552 nm; Attenuation coefficient, 554 nm; Attenuation
    Type: Dataset
    Format: text/tab-separated-values, 6012074 data points
    Location Call Number Expected Availability
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  • 75
    facet.materialart.
    Unknown
    Absorption, attenuation, scattering and backscattering inline data from the Gulf of Alaska in July 2020 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The following data set contains particulate absorption, particulate attenuation, and particulate backscatter data from an optical inline system. Auxiliary data from the R/V Sikuliaq's existing underway system has also been attached, this includes standard shipboard physical oceanographic and meteorological data. The data was collected continuously during the cruises following previous work by the authors and IOCCG protocols (Burt et al., 2018 and IOCCG, 2019). The data has been binned to one-minute intervals to match with the existing underway data. The data was collected in the Northern Gulf of Alaska (NGA), as part of the expansion of the Long-Term Ecological Research (LTER) program in the Gulf. The data was collected using an ACS and BB3-eco triplet, on cruise SKQ202010s in the NGA.
    Keywords: Absorption coefficient, 402 nm; Absorption coefficient, 404 nm; Absorption coefficient, 406 nm; Absorption coefficient, 408 nm; Absorption coefficient, 410 nm; Absorption coefficient, 412 nm; Absorption coefficient, 414 nm; Absorption coefficient, 416 nm; Absorption coefficient, 418 nm; Absorption coefficient, 420 nm; Absorption coefficient, 422 nm; Absorption coefficient, 424 nm; Absorption coefficient, 426 nm; Absorption coefficient, 428 nm; Absorption coefficient, 430 nm; Absorption coefficient, 432 nm; Absorption coefficient, 434 nm; Absorption coefficient, 436 nm; Absorption coefficient, 438 nm; Absorption coefficient, 440 nm; Absorption coefficient, 442 nm; Absorption coefficient, 444 nm; Absorption coefficient, 446 nm; Absorption coefficient, 448 nm; Absorption coefficient, 450 nm; Absorption coefficient, 452 nm; Absorption coefficient, 454 nm; Absorption coefficient, 456 nm; Absorption coefficient, 458 nm; Absorption coefficient, 460 nm; Absorption coefficient, 462 nm; Absorption coefficient, 464 nm; Absorption coefficient, 466 nm; Absorption coefficient, 468 nm; Absorption coefficient, 470 nm; Absorption coefficient, 472 nm; Absorption coefficient, 474 nm; Absorption coefficient, 476 nm; Absorption coefficient, 478 nm; Absorption coefficient, 480 nm; Absorption coefficient, 482 nm; Absorption coefficient, 484 nm; Absorption coefficient, 486 nm; Absorption coefficient, 488 nm; Absorption coefficient, 490 nm; Absorption coefficient, 492 nm; Absorption coefficient, 494 nm; Absorption coefficient, 496 nm; Absorption coefficient, 498 nm; Absorption coefficient, 500 nm; Absorption coefficient, 502 nm; Absorption coefficient, 504 nm; Absorption coefficient, 506 nm; Absorption coefficient, 508 nm; Absorption coefficient, 510 nm; Absorption coefficient, 512 nm; Absorption coefficient, 514 nm; Absorption coefficient, 516 nm; Absorption coefficient, 518 nm; Absorption coefficient, 520 nm; Absorption coefficient, 522 nm; Absorption coefficient, 524 nm; Absorption coefficient, 526 nm; Absorption coefficient, 528 nm; Absorption coefficient, 530 nm; Absorption coefficient, 532 nm; Absorption coefficient, 534 nm; Absorption coefficient, 536 nm; Absorption coefficient, 538 nm; Absorption coefficient, 540 nm; Absorption coefficient, 542 nm; Absorption coefficient, 544 nm; Absorption coefficient, 546 nm; Absorption coefficient, 548 nm; Absorption coefficient, 550 nm; Absorption coefficient, 552 nm; Absorption coefficient, 554 nm; Absorption coefficient, 556 nm; Absorption coefficient, 558 nm; Absorption coefficient, 560 nm; Absorption coefficient, 562 nm; Absorption coefficient, 564 nm; Absorption coefficient, 566 nm; Absorption coefficient, 568 nm; Absorption coefficient, 570 nm; Absorption coefficient, 572 nm; Absorption coefficient, 574 nm; Absorption coefficient, 576 nm; Absorption coefficient, 578 nm; Absorption coefficient, 580 nm; Absorption coefficient, 582 nm; Absorption coefficient, 584 nm; Absorption coefficient, 586 nm; Absorption coefficient, 588 nm; Absorption coefficient, 590 nm; Absorption coefficient, 592 nm; Absorption coefficient, 594 nm; Absorption coefficient, 596 nm; Absorption coefficient, 598 nm; Absorption coefficient, 600 nm; Absorption coefficient, 602 nm; Absorption coefficient, 604 nm; Absorption coefficient, 606 nm; Absorption coefficient, 608 nm; Absorption coefficient, 610 nm; Absorption coefficient, 612 nm; Absorption coefficient, 614 nm; Absorption coefficient, 616 nm; Absorption coefficient, 618 nm; Absorption coefficient, 620 nm; Absorption coefficient, 622 nm; Absorption coefficient, 624 nm; Absorption coefficient, 626 nm; Absorption coefficient, 628 nm; Absorption coefficient, 630 nm; Absorption coefficient, 632 nm; Absorption coefficient, 634 nm; Absorption coefficient, 636 nm; Absorption coefficient, 638 nm; Absorption coefficient, 640 nm; Absorption coefficient, 642 nm; Absorption coefficient, 644 nm; Absorption coefficient, 646 nm; Absorption coefficient, 648 nm; Absorption coefficient, 650 nm; Absorption coefficient, 652 nm; Absorption coefficient, 654 nm; Absorption coefficient, 656 nm; Absorption coefficient, 658 nm; Absorption coefficient, 660 nm; Absorption coefficient, 662 nm; Absorption coefficient, 664 nm; Absorption coefficient, 666 nm; Absorption coefficient, 668 nm; Absorption coefficient, 670 nm; Absorption coefficient, 672 nm; Absorption coefficient, 674 nm; Absorption coefficient, 676 nm; Absorption coefficient, 678 nm; Absorption coefficient, 680 nm; Absorption coefficient, 682 nm; Absorption coefficient, 684 nm; Absorption coefficient, 686 nm; Absorption coefficient, 688 nm; Absorption coefficient, 690 nm; Absorption coefficient, 692 nm; Absorption coefficient, 694 nm; Absorption coefficient, 696 nm; Absorption coefficient, 698 nm; Absorption coefficient, 700 nm; Absorption coefficient, 702 nm; Absorption coefficient, 704 nm; Absorption coefficient, 706 nm; Absorption coefficient, 708 nm; Absorption coefficient, 710 nm; Absorption coefficient, 712 nm; Absorption coefficient, 714 nm; Absorption coefficient, 716 nm; Absorption coefficient, 718 nm; Absorption coefficient, 720 nm; Absorption coefficient, 722 nm; Absorption coefficient, 724 nm; Absorption coefficient, 726 nm; Absorption coefficient, 728 nm; Absorption coefficient, 730 nm; Absorption coefficient, 732 nm; Absorption coefficient, 734 nm; Absorption coefficient, 736 nm; Absorption coefficient, 738 nm; According to Graff et al. (2015); ACS; Attenuation coefficient, 402 nm; Attenuation coefficient, 404 nm; Attenuation coefficient, 406 nm; Attenuation coefficient, 408 nm; Attenuation coefficient, 410 nm; Attenuation coefficient, 412 nm; Attenuation coefficient, 414 nm; Attenuation coefficient, 416 nm; Attenuation coefficient, 418 nm; Attenuation coefficient, 420 nm; Attenuation coefficient, 422 nm; Attenuation coefficient, 424 nm; Attenuation coefficient, 426 nm; Attenuation coefficient, 428 nm; Attenuation coefficient, 430 nm; Attenuation coefficient, 432 nm; Attenuation coefficient, 434 nm; Attenuation coefficient, 436 nm; Attenuation coefficient, 438 nm; Attenuation coefficient, 440 nm; Attenuation coefficient, 442 nm; Attenuation coefficient, 444 nm; Attenuation coefficient, 446 nm; Attenuation coefficient, 448 nm; Attenuation coefficient, 450 nm; Attenuation coefficient, 452 nm; Attenuation coefficient, 454 nm; Attenuation coefficient, 456 nm; Attenuation coefficient, 458 nm; Attenuation coefficient, 460 nm; Attenuation coefficient, 462 nm; Attenuation coefficient, 464 nm; Attenuation coefficient, 466 nm; Attenuation coefficient, 468 nm; Attenuation coefficient, 470 nm; Attenuation coefficient, 472 nm; Attenuation coefficient, 474 nm; Attenuation coefficient, 476 nm; Attenuation coefficient, 478 nm; Attenuation coefficient, 480 nm; Attenuation coefficient, 482 nm; Attenuation coefficient, 484 nm; Attenuation coefficient, 486 nm; Attenuation coefficient, 488 nm; Attenuation coefficient, 490 nm; Attenuation coefficient, 492 nm; Attenuation coefficient, 494 nm; Attenuation coefficient, 496 nm; Attenuation coefficient, 498 nm; Attenuation coefficient, 500 nm; Attenuation coefficient, 502 nm; Attenuation coefficient, 504 nm; Attenuation coefficient, 506 nm; Attenuation coefficient, 508 nm; Attenuation coefficient, 510 nm; Attenuation coefficient, 512 nm; Attenuation coefficient, 514 nm; Attenuation coefficient, 516 nm; Attenuation coefficient, 518 nm; Attenuation coefficient, 520 nm; Attenuation coefficient, 522 nm; Attenuation coefficient, 524 nm; Attenuation coefficient, 526 nm; Attenuation coefficient, 528 nm; Attenuation coefficient, 530 nm; Attenuation coefficient, 532 nm; Attenuation coefficient, 534 nm; Attenuation coefficient, 536 nm; Attenuation coefficient, 538 nm; Attenuation coefficient, 540 nm; Attenuation coefficient, 542 nm; Attenuation coefficient, 544 nm; Attenuation coefficient, 546 nm; Attenuation coefficient, 548 nm; Attenuation coefficient, 550 nm; Attenuation coefficient, 552 nm; Attenuation coefficient, 554 nm; Attenuation
    Type: Dataset
    Format: text/tab-separated-values, 5697133 data points
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  • 76
    facet.materialart.
    Unknown
    Master tracks in different resolutions of HEINCKE cruise HE635, Bremerhaven - Bremerhaven, 2024-03-08 - 2024-03-22 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-05-31
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE635 were processed to receive a validated master track which can be used as reference of further expedition data. During HE635 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: Calculated; Course; CT; DATE/TIME; HE635; HE635-track; Heincke; LATITUDE; LONGITUDE; MecoMM-NS II; North Sea; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 3866 data points
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  • 77
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Tateno (2020-05) (2020)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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  • 78
    facet.materialart.
    Unknown
    Distance between ROV and sea ice at the ROV station ODEN_AO2018_819-1 (2020)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-05-31
    Description: Along with the radiation measurements, ROV positions were obtained from acoustic LBL (Long BaseLine)-positioning and all parameters of vehicle depth, distance to the ice and attitude recorded. All times are given in UTC.
    Keywords: Arctic Ocean; Arctic Ocean 2018, MOCCHA; DATE/TIME; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; Oden; Oden_AO2018; Oden_AO2018_819-1; Remote operated vehicle; ROV
    Type: Dataset
    Format: text/tab-separated-values, 13740 data points
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  • 79
    facet.materialart.
    Unknown
    Distance between ROV and sea ice at the ROV station ODEN_AO2018_828-1 (2020)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-05-31
    Description: Along with the radiation measurements, ROV positions were obtained from acoustic LBL (Long BaseLine)-positioning and all parameters of vehicle depth, distance to the ice and attitude recorded. All times are given in UTC.
    Keywords: Arctic Ocean; Arctic Ocean 2018, MOCCHA; DATE/TIME; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; Oden; Oden_AO2018; Oden_AO2018_828-1; Remote operated vehicle; ROV
    Type: Dataset
    Format: text/tab-separated-values, 16491 data points
    Location Call Number Expected Availability
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  • 80
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Tateno (2019-10) (2020)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
    Location Call Number Expected Availability
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  • 81
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    Diatom analyses of IODP Site 341-U1421 (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Keywords: -; 341-U1421A; 341-U1421C; Accumulation rate, diatoms; Actinocyclus curvatulus; Actinocyclus ochotensis; Actinoptychus spp.; AGE; Area; Asteromphalus spp.; Azpeitia neocrenulata; Azpeitia tabularis; Bacterosira constricta, resting spores; Bathyomphalus contortus; Chaetoceros morphogenera: Dispinodiscus; Chaetoceros morphogenera: Gemellodiscus; Chaetoceros morphogenera: hyaline variety; Chaetoceros morphogenera: Liradiscus; Chaetoceros morphogenera: Peripteropsis; Chaetoceros morphogenera: Syndendrium; Chaetoceros morphogenera: Vallodiscus; Chaetoceros morphogenera: Xanthodiscus; Chaetoceros spp.; Cocconeis costata; Cocconeis spp.; Cordilleran Ice Sheet; Coscinodiscus marginatus; Coscinodiscus oculus-iridis; Coscinodiscus radiatus; deglacial; Density, dry bulk; Depth, bottom/max; Depth, composite; Depth, composite bottom; Depth, composite top; Depth, top/min; Detonula confervacea; Diatoms; Diatoms, centrales; Diatoms, centrales indeterminata; Diatoms, naviculoid pennales; Diatoms, pennales; Diatoms, pennales indeterminata; Diatoms, sea ice; Diploneis spp.; DRILL; Drilling/drill rig; Ehrenbergina spp.; Event label; Exp341; Fossula arctica; Fragilariopsis atlantica; Fragilariopsis cylindrus; Fragilariopsis doliolus; Fragilariopsis nana; Fragilariopsis oceanica; Fragilariopsis pseudonana; Fragilariopsis reginae-jahniae; Gulf of Alaska; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Length; LGM; Lindavia spp.; Lioloma pacificum; Melosira sol; Neodenticula seminae; Nitzschia spp.; Odontella aurita; Paralia sulcata; Porosira glacialis; Proboscia eumorpha; Proboscia subarctica; Rhaphoneis spp.; Rhizosolenia borealis; Rhizosolenia hebetata; Rhizosolenia hebetata forma semispina; Rhizosolenia setigera; Rhizosolenia styliformis; Sample code/label; Sample code/label 2; Sample resolution; Sedimentation rate; Shionodiscus oestrupii; Shionodiscus trifultus; Slide; Southern Alaska Margin: Tectonics, Climate and Sedimentation; Stellarima stellaris; Stephanopyxis turris; Synedropsis spp.; Thalassionema nitzschioides; Thalassiosira aestivalis; Thalassiosira angulata; Thalassiosira anguste-lineata; Thalassiosira antarctica; Thalassiosira antarctica, resting spores; Thalassiosira baltica; Thalassiosira binata; Thalassiosira bulbosa; Thalassiosira decipiens; Thalassiosira eccentrica; Thalassiosira gravida; Thalassiosira hispida; Thalassiosira hyalina; Thalassiosira jouseae; Thalassiosira kushirensis; Thalassiosira kushirensis, resting spores; Thalassiosira leptopus; Thalassiosira lineata; Thalassiosira nordenskioeldii; Thalassiosira pacifica; Thalassiosira sp.; Thalassiosira spp.; Thalassiosira symmetrica; Thalassiosira tenera; Thalassiothrix longissima; Transect length; Transect width
    Type: Dataset
    Format: text/tab-separated-values, 3933 data points
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  • 82
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    Basic and other measurements of radiation at station Tateno (2020-07) (2020)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 191191, WRMC No. 16044; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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  • 83
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    Unknown
    Distance between ROV and sea ice at the ROV station ODEN_AO2018_822-1 (2020)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-05-31
    Description: Along with the radiation measurements, ROV positions were obtained from acoustic LBL (Long BaseLine)-positioning and all parameters of vehicle depth, distance to the ice and attitude recorded. All times are given in UTC.
    Keywords: Arctic Ocean; Arctic Ocean 2018, MOCCHA; DATE/TIME; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; Oden; Oden_AO2018; Oden_AO2018_822-1; Remote operated vehicle; ROV
    Type: Dataset
    Format: text/tab-separated-values, 5811 data points
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  • 84
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    Unknown
    Basic and other measurements of radiation at station Tateno (2019-12) (2020)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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  • 85
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    Unknown
    Basic and other measurements of radiation at station Tateno (2019-11) (2020)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1038956 data points
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  • 86
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    Unknown
    Basic and other measurements of radiation at station Tateno (2020-03) (2020)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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  • 87
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    Geochemistry of sediment core PS97/072-1TC (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Keywords: Age; AGE; Antarctic sea ice; ANT-XXXI/3; AWI_Envi; AWI_Paleo; Bransfield Strait; Carbon, organic, total; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Diatoms, sea ice; highly branched isoprenoids; IPSO25; Modern analog technique (MAT), D274/28/4an; Paleoclimate; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS97; PS97/072-1TC; sea ice proxy; Sea surface temperature, summer; TC; Transfer function, IKM – D336/29/3q; Trigger corer
    Type: Dataset
    Format: text/tab-separated-values, 238 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 88
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    Unknown
    Distance between ROV and sea ice from ROV survey PS122/4_46-177 on 2020-07-11, survey 3 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_46-177; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 20910 data points
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  • 89
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    Distance between ROV and sea ice from ROV survey PS122/4_48-213 on 2020-07-26, survey 1 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_48-213; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 33804 data points
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  • 90
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    Unknown
    Distance between ROV and sea ice from ROV survey PS122/5_59-269 on 2020-08-25, survey 1 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_59-269; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 38250 data points
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  • 91
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    Distance between ROV and sea ice from ROV survey PS122/5_61-156 on 2020-09-10, survey 1 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_61-156; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 79488 data points
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  • 92
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    Unknown
    Distance between ROV and sea ice from ROV survey PS122/5_62-103 on 2020-09-17, survey 1 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_62-103; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 48552 data points
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  • 93
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    Distance between ROV and sea ice from ROV survey PS122/5_61-200 on 2020-09-12, survey 1 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_61-200; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 72912 data points
    Location Call Number Expected Availability
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  • 94
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    Basic and other measurements of radiation at station Tateno (2022-11) (2023)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 191191, WRMC No. 16044; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 120502, WRMC No. 16042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1166242 data points
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  • 95
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    Basic and other measurements of radiation at station Tateno (2023-02) (2023)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 191191, WRMC No. 16044; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 120502, WRMC No. 16042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1088640 data points
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  • 96
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    Basic and other measurements of radiation at station Tateno (2023-04) (2023)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 191191, WRMC No. 16044; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 120502, WRMC No. 16042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1166392 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 97
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    Unknown
    Basic and other measurements of radiation at station Tateno (2023-01) (2023)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 191191, WRMC No. 16044; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 120502, WRMC No. 16042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1205114 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
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    Unknown
    Basic and other measurements of radiation at station Tateno (2023-03) (2023)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-05-31
    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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 191191, WRMC No. 16044; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 120502, WRMC No. 16042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1205280 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
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    Unknown
    Proton Transfer Reaction Mass Spectrometer measurements during the Reef To Rainforest campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Keywords: aerosol; Air Chemistry; atmospheric composition; ccn; climate; clouds; CT; CTD/Rosette; CTD-RO; DATE/TIME; Dimethyl sulfide; Event label; Great Barrier Reef; IN2016_R2R, Reef to Rainforest; IN2016_V05; IN2016-V05-S1; IN2016-V05-S2; IN2016-V05-S3-1; IN2016-V05-S3-2; IN2016-V05-S4; IN2016-V05-S6; IN2016-V05-UW; Investigator (2014); Isoprene; LATITUDE; LONGITUDE; Methacrolein + methyl vinyl ketone; MULT; Multiple investigations; Proton Transfer - Quadrupole mass spectrometry, Ionicon Analytics; Quality flag; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 11775 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Lufft Weatherstation measurements at Garner's Beach during the Reef To Rainforest campaign (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-31
    Description: 2 minute resolution data file with measurements from the Luuft Weather Station and the Spectronus Fourier Transform Infrared (FTIR) Spectrometer. This data file contains meteorology parameter such as humidity, wind speed, pressure, temperature, as well as the concentraiton of chemical species such as CH4, CO2, N2O, O3 and NOx.
    Keywords: aerosol; Air Chemistry; atmospheric composition; Australia; Carbon dioxide; Carbon monoxide; ccn; climate; clouds; DATE/TIME; Density, air; Dew/frost point; Enthalpy; Event label; Fourier Transform Infrared (FTIR) spectrometer, Echotech, Spectronus Trace Greenhouse Gas and Isotope Analyser; Garners Beach, QLD; Great Barrier Reef; HEIGHT above ground; Humidity, absolute; Humidity, relative; IN2016-V05-AB1; LATITUDE; LONGITUDE; Lufft Weatherstation, WS800; Methane; MULT; Multiple investigations; Nitric oxide; Nitrogen dioxide; Nitrogen oxide; Nitrous oxide; Ozone; Precipitation; Precipitation/Rain; Pressure, atmospheric; Serinus NOx Analyzer, Ecotech; Short-wave downward (GLOBAL) radiation; Temperature, air; Temperature, air, wet bulb; Water vapour mixing ratio; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 442948 data points
    Location Call Number Expected Availability
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