ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • PANGAEA  (421,863)
Collection
Keywords
Publisher
Language
Years
  • 1
    facet.materialart.
    Unknown
    Marine Multi-channel seismic data from Cruise EW9509 Line 38 in 1995 Taiwan (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Description: This is a dataset that has been acquired in 1995 as part of the U.S.-ROC Deep Seismic Imaging Study of the Taiwan Arc-Continent Collision (TAICRUST) project. This particular line was measured in the Taiwan Strait in September 1995 to image the shallow sediments and upper crust. Additional information from the Cruise EW9509 is stored at the Marine Geoscience Data System (MGDS).
    Keywords: Binary Object; EW9509; EW9509_Line38; Maurice Ewing; multi-channel seismic reflection; raw data; SEIS; Seismic
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Transient simulations for present and last interglacials using a comprehensive coupled climate model CCSM3 (Community Climate System Model 3.0), links to model result files in NetCDF format (2016)
    PANGAEA
    In:  Supplement to: Varma, Vidya; Prange, Matthias; Schulz, Michael (2016): Transient simulations of the present and the last interglacial climate using the Community Climate System Model version 3: effects of orbital acceleration. Geoscientific Model Development, 9(11), 3859-3873, https://doi.org/10.5194/gmd-9-3859-2016
    Details
    Publication Date: 2024-04-29
    Description: Transient simulations are widely used in studying the past climate as they provide better comparison with any exisiting proxy data. However, multi-millennial transient simulations using coupled climate models are usually computationally very expensive. As a result several acceleration techniques are implemented when using numerical simulations to recreate past climate. In this study, we compare the results from transient simulations of the present and the last interglacial with and without acceleration of the orbital forcing, using the comprehensive coupled climate model CCSM3 (Community Climate System Model 3). Our study shows that in low-latitude regions, the simulation of long-term variations in interglacial surface climate is not significantly affected by the use of the acceleration technique (with an acceleration factor of 10) and hence, large-scale model-data comparison of surface variables is not hampered. However, in high-latitude regions where the surface climate has a direct connection to the deep ocean, e.g. in the Southern Ocean or the Nordic Seas, acceleration-induced biases in sea-surface temperature evolution may occur with potential influence on the dynamics of the overlying atmosphere. The data provided here are from both accelerated and non-accelerated runs as decadal mean values.
    Keywords: Center for Marine Environmental Sciences; Climate Change: Learning from the past climate; File format; File name; File size; MARUM; Past4Future; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Radiocarbon age, geochemical and physical parameters of sediment core GeoB16204-2 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: This entry contains two datasets from marine sediment core GeoB16204-2. While one dataset hosts geochemical (i.e., iron, titanium, calcium, ln(Fe/Ca), ln(Ti/Ca), calcium carbonate, total organic carbon, total nitrogen, stable hydrogen isotopic composition of C29 long-chain n-alkanes) and physical (i.e., porosity, wet bulk density, dry bulk density, fragmentation index, mass accumulation rate of the siliciclastic fraction and mass accumulation rate of the calcium carbonate fraction) data, the other hosts radiocarbon data.
    Keywords: Center for Marine Environmental Sciences; Holocene; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Intertropical Convergence Zone; major elements; MARUM; South America; stable hydrogen isotopes
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The submitted data package include 19 data files (for each buoy) and 1 buoy information file.
    Keywords: 2019T56, FMI_05_06; 2019T58; 2019T62; 2019T62, PRIC_09_01; 2019T64; 2019T66; 2019T67; 2019T68; 2019T70; 2020T73, PRIC_10_01; 2020T74, PRIC_10_02; 2020T75, PRIC_10_03; 2020T76, PRIC_10_04; 2020T77, PRIC_10_05; 2020T79; 2020T79, PRIC_10_07; AF-MOSAiC-1; AF-MOSAiC-1_103; AF-MOSAiC-1_115; AF-MOSAiC-1_118; AF-MOSAiC-1_122; AF-MOSAiC-1_128; AF-MOSAiC-1_182; AF-MOSAiC-1_77; AF-MOSAiC-1_89; AF-MOSAiC-1_90; AF-MOSAiC-1_99; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_2; AT-MOSAiC-1_5; ice thickness; mass balance; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-124; PS122/1_1-125; PS122/1_1-171, 2019T68, FMI_06_01; PS122/1_1-172, 2019T69; PS122/1_1-173, 2019T70, FMI_06_03; PS122/1_1-175, 2019T72, FMI_06_05; PS122/1_1-177, 2019T58, FMI_05_09; PS122/1_1-224, 2019T63, PRIC_09_02; PS122/1_1-225, 2019T64, PRIC_09_03; PS122/1_1-226, 2019T65, PRIC_09_04; PS122/1_1-272; PS122/1_1-285, 2019T47; PS122/1_1-314, 2019T67; PS122/3; PS122/3_28-107; PS122/3_28-91; PS122/3_28-92; PS122/3_28-93; PS122/3_28-94; PS122/3_28-95; PS122/4; PS122/4_43-155; PS122/4_43-156; PS122/4_43-163; PS122/4_43-170; PS122/4_43-174; SAMS Ice Mass Balance buoy; Sea ice; SIMBA; snow depth
    Type: Dataset
    Format: application/zip, 20 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Downcore environmental magnetic parameters, major elements and siliciclastic data from marine sediment core GL-1090 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: By combining environmagnetic, geochemical, and siliciclastic grain size data, we investigated marine sediment core GL‐1090 (24.92°S, 42.51°W, 2225 m water depth) aiming to unravel changes in terrigenous sediment input and bottom water conditions during the last ∼184 ka at the western South Atlantic mid‐depth. This dataset contains: Clay/Silt ratio, Fe/kappa ratio, Magnetic Parameters (Anhysteretic remanent magnetization (ARM300), Isotermal Remanent Magnetization (IRM300) and Hard-IRM), S-Ratio, Volume Magnetic Suceptibility, xARM/IRM ratio and EDP-Calibrated XRF data from marine sediment core GL-1090.
    Keywords: environmental magnetism; GL1090; GL-1090; western South Atlantic
    Type: Dataset
    Format: application/zip, 8 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Thermoluminescence (TL) and optically stimulated luminescence (OSL) sensitivities, and IRSL/OSL measurements for core GL-1248 (off Parnaíba River drainage basin, northern northeastern Brazil) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Marine sediment core GL-1248 was collected from the continental slope off northern northeastern Brazil by Petrobras oil company. Sediment samples (154 in total) were collected with 2 cm wide scoops at every 10 cm from the uppermost 16 m (covering the the last 113 thousand years) of the marine sediment core GL-1248. Samples were oven‐dried at 60°C, precisely weighted to 0.5 g and treated with H2O2 27% and HCl 10% to remove organic matter and calcium carbonate, respectively. The remaining content was diluted in alcohol and three aliquots per sample were mounted on stainless steel discs with four drops of the homogenized solution of alcohol and silt/clay sediments. GL-1248 luminescence measurements were performed on an automated Lexsyg Smart TL/OSL reader equipped with blue and infrared LEDs, Hoya U-340 filters for light detection in the ultraviolet band (270-390 nm) using a photomultiplier and beta radiation sources (90Sr/90Y) with doses rate of 0.116 Gy s-1 at the Luminescence and Gamma Spectrometry Laboratory of the Institute of Geosciences, University of São Paulo, Brazil. The sensitivity representative of the 110°C thermoluminesce (TL) peak of quartz considered the 80–120°C integration range from the TL curve. The 80-120°C TL sensitivity was calculated as a percentage of the total TL emission (0-250°C) and using the background TL curve. The mean of three measured aliquots represents the TL sensitivity of each sample. The OSL sensitivity was calculated by integrating the first second of light emission and the last ten seconds as background. GL-1248 TL sensitivity data were compared to previously published data obtained from marine sediment core GeoB16206-1 (https://doi.org/10.1594/PANGAEA.904357). Marine sediment core GeoB16206-1 was analyzed in a different luminescence reader (i.e. RisØ OSL/TL DA-20 reader) and using different regeneration dose. In order to avoid machine artifacts and the influence of dose size on sensitivity, we normalized the TL data output from both marine sediment cores and produced a composite record. Name of the Campaign: collected by the Petrobras oil company Event Label: GL1248 (GL-1248) Method: quarzt luminescence sensitivity Latitude: -0.920000 Longitude: -43.401667 Elevation: -2,264 m
    Keywords: Luminescence sensitivity; northeastern Brazil; precipitation reconstruction; quartz grains; South America
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Age model, sedimentation rates and stable carbon isotopic rates of sediment core GeoB6212-1 (2017)
    PANGAEA
    In:  Supplement to: de Carvalho Campos, Marília; Chiessi, Cristiano Mazur; Voigt, Ines; Piola, Alberto R; Kuhnert, Henning; Mulitza, Stefan (2017): d13C decreases in the upper western South Atlantic during Heinrich Stadials 3 and 2. Climate of the Past, 13, 345-358, https://doi.org/10.5194/cp-13-345-2017
    Details
    Publication Date: 2024-04-29
    Description: Abrupt millennial-scale climate change events of the last deglaciation (i.e. Heinrich Stadial 1 and the Younger Dryas) were accompanied by marked increases in atmospheric CO2 (CO2atm) and decreases in its stable carbon isotopic ratios (d13C), i.e. d13CO2atm, presumably due to outgassing from the ocean. However, information on the preceding Heinrich Stadials during the last glacial period is scarce. Here we present d13C records from two species of planktonic foraminifera from the western South Atlantic that reveal major decreases (up to 1 per mil) during Heinrich Stadials 3 and 2. These d13C decreases are most likely related to millennialscale periods of weakening of the Atlantic meridional overturning circulation and the consequent increase (decrease) in CO2atm (d13CO2atm). We hypothesise two mechanisms that could account for the decreases observed in our records, namely strengthening of Southern Ocean deep-water ventilation and weakening of the biological pump. Additionally, we suggest that air?sea gas exchange could have contributed to the observed d13C decreases. Together with other lines of evidence, our data are consistent with the hypothesis that the CO2 added to the atmosphere during abrupt millennial-scale climate change events of the last glacial period also originated in the ocean and reached the atmosphere by outgassing. The temporal evolution of d13C during Heinrich Stadials 3 and 2 in our records is characterized by two relative minima separated by a relative maximum. This ?w structure? is also found in North Atlantic and South American records, further suggesting that such a structure is a pervasive feature of Heinrich Stadial 2 and, possibly, also Heinrich Stadial 3.
    Keywords: Center for Marine Environmental Sciences; GeoB; Geosciences, University of Bremen; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Continuous meteorological observations at DynaCom automatic weather station (2021), Spiekeroog, Germany, 2021-01 to 2021-12 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Data presented here were collected between January 2021 to December 2021 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) 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. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; meteorology; salt marsh; Spiekeroog
    Type: Dataset
    Format: application/zip, 12 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Marine20 - the marine radiocarbon age calibration curve (0 - 55,000 cal BP), simulated data for IntCal20 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: The concentration of radiocarbon (14C) differs between ocean and atmosphere. Radiocarbon determinations from samples which obtained their 14C in the marine environment therefore need a marine-specific calibration curve and cannot be calibrated directly against the atmospheric-based IntCal20 curve. This paper presents Marine20, an update to the internationally-agreed marine radiocarbon age calibration curve that provides a non-polar global-average marine record of radiocarbon from 0 – 55 cal kBP and serves as a baseline for regional oceanic variation. Marine20 is based upon 500 simulations with an ocean/atmosphere/biosphere box-model of the global carbon cycle that has been forced by posterior realisations of our Northern Hemispheric atmospheric IntCal20 14C curve and reconstructed changes in CO2 obtained from ice core data. These forcings enable us to incorporate carbon cycle dynamics and temporal changes in the atmospheric 14C level. The box-model simulations of the global-average marine radiocarbon reservoir age are similar to those of a more complex three-dimensional ocean general circulation model. However, simplicity and speed of the box model allow us to use a Monte Carlo approach to rigorously propagate the uncertainty in both the historic concentration of atmospheric 14C and other key parameters of the carbon cycle through to our final Marine20 calibration curve. This robust propagation of uncertainty is fundamental to providing reliable precision for the radiocarbon age calibration of marine based samples. We make a first step towards deconvolving the contributions of different processes to the total uncertainty; discuss the main differences of Marine20 from the previous age calibration curve Marine13; and identify the limitations of our approach together with key areas for further work. The updated values for 𝛥𝑅, the regional marine radiocarbon reservoir age corrections required to calibrate against Marine20, can be found at the data base http://calib.org/marine/. This data set includes: - the data plotted in the related manuscript, including Marine20, and IntCal20, the most recent version of the radiocarbon age calibration curves - the 500 northern hemispheric atmospheric Δ14C realisations of IntCal20 used as input for the calculation of Marine20 - a netCDF file from the LSG OCGCM with spatially resolved marine reservoir ages.
    Keywords: File format; File name; File size; marine reservoir age; modelling; radiocarbon; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Benthic stable oxygen and carbon isotope records; XRF scanner S and EDP XRF S, and foraminiferal assemblages of sediment core M125-95-3 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Negative excursions in the stable carbon isotopic composition (δ¹³C) at Atlantic intermediate to mid-depths are common features of millennial-scale events named Heinrich Stadials (HS). The mechanisms behind these excursions are not yet fully understood, but most hypotheses agree on the central role played by the weakening of the Atlantic meridional overturning circulation. Marine records registering millennial-scale negative δ¹³C excursions in the Atlantic are mostly restricted to the HS of the last deglacial, while the HS of the last glacial are poorly studied. Here we constrain changes in bottom water ventilation in the western tropical South Atlantic mid-depth during HS of the last glacial and deglacial by investigating marine core M125-95-3. The concurrent decreases in benthic foraminifera δ¹³C and increases in bulk sediment sulfur indicates an increased Northern Component Water (NCW) residence time in the western tropical South Atlantic mid-depth during HS. Furthermore, a coherent meridional pattern emerges from the comparison of our new data to previously published mid-depth records from the western South Atlantic. While our record shows the largest negative δ¹³C excursions during almost all HS, the western equatorial Atlantic showed medium and the subtropical South Atlantic showed the smallest negative excursions. This meridional pattern supports the notion that during HS a reduction in the NCW δ¹³C source signal together with the accumulation of respired carbon at NCW depths drove the negative δ¹³C excursions. We suggest that the negative δ¹³C excursions progressively increase along the NCW southwards pathway until the signal dissipates/dilutes by mixing with Southern Component Water.
    Keywords: Accumulation rate, number of benthic foraminifera; AGE; Calculated; Cibicidoides pachyderma, δ13C; Cibicidoides pachyderma, δ18O; Corrected; DEPTH, sediment/rock; foraminiferal assemblages; Isotope ratio mass spectrometry; Last Glacial; M125; M125_469-3; M125-95-3; Meteor (1986); PC; Piston corer; Ratio; SAMBA; South Atlantic Ocean; stable carbon isotope; stable oxygen isotope; Sulfur; Sulfur, total; Uvigerina spp., δ13C; X-ray fluorescence (XRF); XRF
    Type: Dataset
    Format: text/tab-separated-values, 1991 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 11
    facet.materialart.
    Unknown
    Gridded rates of ice-mass change in north-east Greenland from a combination of satellite gravimetry and satellite altimetry (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: The gridded data set comprises rates of ice-mass change in north-east Greenland for the time period July 2010 to June 2017. For this, we combined satellite altimetry data from CryoSat-2 with satellite gravimetry data from the Gravity Recovery and Climate Experiment (GRACE) over the Greenland Ice Sheet including peripheral glaciers and ice caps. The combination improves ice-mass change estimates since the two satellite techniques complement each other. Satellite altimetry is used to resolve mass changes at glacier scale (grid resolution of 1.5×1.5 km²). Satellite gravimetry is directly sensitive to mass redistributions allowing the combined mass balance to be adjusted to the GRACE estimate. However, the mass-balance estimation by satellite gravimetry depends directly on the glacial-isostatic adjustment (GIA) correction. To investigate the GIA mass effect, three different GIA models were consistently used in all processing steps. Therefore, three different versions of the mass-change rates are provided depending on the GIA model applied.
    Keywords: CryoSat-2; GIA; GRACE; Ice-mass change; north-east Greenland
    Type: Dataset
    Format: application/x-hdf, 5.1 MBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 12
    facet.materialart.
    Unknown
    Meridional changes in the South Atlantic Subtropical Gyre during Heinrich Stadials (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Subtropical ocean gyres play a key role in modulating the global climate system redistributing energy between low and high latitudes. A poleward displacement of the subtropical gyres has been observed over the last decades, but the lack of long-term monitoring data hinders an in-depth understanding of their dynamics. Paleoceanographic records offer the opportunity to identify meridional changes in the subtropical gyres and investigate their consequences to the climate system. Here we use the abundance of planktonic foraminiferal species Globorotalia truncatulinodes from a sediment core collected at the northernmost boundary of the South Atlantic Subtropical Gyre (SASG) to track changes in its meridional position. Our results show systematic decreases in the percentage of G. truncatulinoides during Heinrich Stadials (HS), indicating southward shifts of the northernmost boundary of the SASG.
    Keywords: AGE; DEPTH, sediment/rock; Globorotalia truncatulinoides; M125; M125_469-3; M125-95-3; Meteor (1986); PC; Piston corer; SAMBA; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 13
    facet.materialart.
    Unknown
    n-alkane carbon and hydrogen stable isotope data from sediment core M125-95-3 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: In order to assess the response of vegetation from eastern tropical South America to hydroclimate changes during the last ca. 45 kyr, we analyzed marine sediment core M125-95-3 that archived sediments from the São Francisco River drainage basin. We used the stable carbon (δ13C) and hydrogen (δD) isotopes of long-chain n-alkanes (i.e., C29-C31) to reconstruct regional vegetation composition and precipitation dynamics, respectively. The data set contains marine sedimentary records of long-chain n-alkane δ13C and δD, as well as the isotopic difference between homologues (Δδ13C31-29), and locally estimated scatterplot smoothing (LOESS) of indicated data. The δ13Cwax refers to the weighted averages of δ13C29 and δ13C31 values. The δDwax refers to the weighted averages of δD29 and δD31 values.
    Keywords: AGE; DEPTH, sediment/rock; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); lipid biomarkers; M125; M125_469-3; M125-95-3; Meteor (1986); n-Alkane, Δδ13C (C31-C29); n-Alkane C29, δ13C; n-Alkane C29, δ13C, standard deviation; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C31, δ13C; n-Alkane C31, δ13C, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; n-alkanes; off eastern South America; PC; Piston corer; SAMBA; São Francisco river; South Atlantic Ocean; Stable carbon and hydrogen isotopes of plant-waxes; stable carbon isotopes δ13C; stable hydrogen isotopes δ2H; δ13C, wax; δ13C, wax, standard deviation; δ Deuterium, wax; δ Deuterium, wax, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 745 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 14
    facet.materialart.
    Unknown
    In-ice light and temperature profile measurements on MOSAiC with the light harp sensor - raw data (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Sea ice buoy lightharp was deployed at the MOSAiC LM-site from mid January to August 2022. It measured autonomously and non-destructively the up- and downwelling light field in the ice. This dataset contains the raw data of buoy lightharp as it was received onshore via satellite link. Further information on the data format and the measurement record are collected in the attached protocol documents.
    Keywords: Arctic Ocean; Binary Object; Binary Object (File Size); BUOY_SI; Light; lightharp; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-314; raw data; Sea ice; Sea ice buoy; Temperature
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 15
    facet.materialart.
    Unknown
    Passive acoustic monitoring data recorded by recorder SV1088 at mooring F5-17 in Fram Strait in 2016/2017 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1088 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 79° 00.02' N, 005° 40.12' E, mooring F5-17, in Fram Strait. During a deployment period from July 2016 to September 2018, passive acoustic data were collected from July 2016 to July 2017 (recording period) by SV1088 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 808 m depth and scheduled to record continuously at a sample rate of 48,000 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ARK-XXX/2, GN05; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; F5-17; FRAM; FRontiers in Arctic marine Monitoring; Maria S. Merian; MOOR; Mooring; Mooring (long time); MOORY; MSM76; MSM76_198-1; North Atlantic; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH, and automated signal detection by spectrogram cross-correlation; Polarstern; PS100; PS100/019-1; PS100/019-1, MSM76_198-1
    Type: Dataset
    Format: text/tab-separated-values, 361 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 16
    facet.materialart.
    Unknown
    Passive acoustic monitoring data recorded by recorder SV1009 at mooring AWI208-8 in the Weddell Sea, Southern Ocean, in 2017/2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1009 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 65°41.79' S, 36°41.012' W, mooring AWI208-8, in Weddell Sea, Atlantic sector of the Southern Ocean. During a deployment period from January 2017 to January 2019, passive acoustic data were collected from January 2017 to May 2018 (recording period) by SV1009 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 1032 m depth and scheduled to record continuously at a sample rate of 6,857 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Further information on terminology, data processing, preparation and standardization can be found in the associated Standard Operating Procedure (SOP) Glossary (Thomisch et al. 2023a) and SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXXII/2; Audio file; Audio file (File Size); AWI208-8; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; MOOR; Mooring; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS103; PS103_40-2; PS117; PS117_56-4; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 469 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 17
    facet.materialart.
    Unknown
    Backpack LiDAR-based digital elevation models from the Perma-X expedition in West Alaska (2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: During the Arctic Land Expedition Perma-X in West Alaska (2022-07-28 -- 2022-08-21), several LiDAR scans were acquired using a backpack laser scanning system (GreenValley LiBackpack DGC50). The surveys were carried out on the Baldwin Peninsula and on the Seward Peninsula. The goal of the campaign was to quantify permafrost landscape change by mapping various permafrost thaw features such as thaw slumps, gullies, and degraded ice wedge polygons. These features are predominantly less than 1 km2 in size. The 3D point cloud data from the LiDAR backpack were used to generate Digital Elevation Models (DEMs) of the thaw features. The point cloud processing workflow for these DEMs included point cloud georeferencing, filtering, and ground classification. In total, 15 DEMs were derived at different locations during this campaign. In addition to change detection, the accurate field data are suitable for model parameterization and validation from Earth observation data.
    Keywords: AK-Land_2022_NWAlaska; AK-Land_2022_NWAlaska_BAP22A_01; AK-Land_2022_NWAlaska_BAP22A_02; AK-Land_2022_NWAlaska_BAP22B_01; AK-Land_2022_NWAlaska_BAP22B_03; AK-Land_2022_NWAlaska_BAP22B_04; AK-Land_2022_NWAlaska_BAP22C_01; AK-Land_2022_NWAlaska_BAP22C_02; AK-Land_2022_NWAlaska_BAP22D_01; AK-Land_2022_NWAlaska_BAP22D_02; AK-Land_2022_NWAlaska_BAP22H_01; AK-Land_2022_NWAlaska_BAP22H_02; AK-Land_2022_NWAlaska_CSP22F_01; AK-Land_2022_NWAlaska_CSP22F_02; AK-Land_2022_NWAlaska_CSP22F_03; AK-Land_2022_NWAlaska_CSP22F_04; AWI Arctic Land Expedition; BAP22A; BAP22B; BAP22C; BAP22D; BAP22H; Coordinate reference system; CSP22F; Data type; DATE/TIME; DEM; Event label; Feature; Gear; Ice-wedge Polygons; Identification; LATITUDE; Latitude, northbound; Latitude, southbound; LONGITUDE; Longitude, eastbound; Longitude, westbound; permafrost thaw features; Perma-X; Perma-X Scan Alaska 2022; point clouds; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Resolution; Site; Terrestrial laser scanning (TLS); thaw slump; thermo-erosion gullies; Wearable LiDAR Scanning System, GreenValley, LiBackpack DGC50; West Alaska
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 18
    facet.materialart.
    Unknown
    Western tropical South Atlantic sea surface temperature over the last 300 kyr based on Mg/Ca in shells of Globigerinoides ruber (white) from sediment core GL1180 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: We investigate long-term SST variability of the western tropical South Atlantic (WTSA) using a 300 kyr-long SST record derived from Mg/Ca ratios in shells of Globigerinoides ruber (white). The foraminifera shells were derived from sediment core GL-1180, which was retrieved from 1037 m water depth at the northeastern continental margin of Brazil (8° 27'18 S, 33° 32'53 W) by the Brazilian oil company Petrobras. Measurements of Mg/Ca ratios were performed using an inductively coupled plasma optical emission spectrometer (ICP-OES) at MARUM-Center for Marine Environmental Sciences, University of Bremen. Additionally, Fe, Mn, and Al were measured to monitor contaminants.
    Keywords: AGE; Calculated; Core; CORE; DEPTH, sediment/rock; GL1180; GL-1180; Glacial cycles; Globigerinoides ruber; Globigerinoides ruber white, Aluminium/Calcium ratio; Globigerinoides ruber white, Iron/Calcium ratio; Globigerinoides ruber white, Magnesium/Calcium ratio; Globigerinoides ruber white, Manganese/Calcium ratio; ICP-OES; Mg/Ca; Sea surface temperature; Sea surface temperature, standard deviation; SST from Mg/Ca ratios; western tropical Atlantic; western tropical South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 3270 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 19
    facet.materialart.
    Unknown
    2D multichannel seismic reflection processed data (GI Gun working area dataset) of RV SONNE during cruise SO292, Queensland Plateau, Coral Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: The seismic data were collected on the Queensland Plateau during RV SONNE expedition SO292 in spring 2022 (Betzler et al., 2022). The seismic signals were generated by two simultaneously released GI-Gun (true GI-Modus; primary volume of 45 in3) and a Mini-GI source (true GI-Modus; primary volume of 15 in3), towed 41 m behind the ship's stern and in a water depth of ca. 2.5 m. Sources were released by a GPS-controlled PC every 18.75 m at 160 bar. To synchronize seismic sources and trigger the recording system, a SureShot trigger system was used. This system allowed to display and adjust the source signatures measured by hydrophones attached to the seismic sources for each shot and therefore enabled an online quality control during the watchkeeping. The streamer was a Hydroscience Technologies SeaMUX 144-channel system with an active length of 600 m and symmetric group interval. The recording length was set to 4 s, the sample interval was 1 ms. Raw data were stored in SEG-Y format. All seismic profiles were processed on board with the 2021 VISTA® desktop seismic data processing software by Schlumberger. The main processing steps were Bandpass filtering (18/25 – 350/450 Hz), velocity analysis (every 25-500 CMP), spherical divergence correction, NMO-correction and stack, FD migration, topmute, data enhancement (white noise removal, fx deco), scaling. Processed data contained in this dataset are stored as SEG-Y. UTM coordinates (UTM zone 55) are stored at trace header position 181 (4-byte) and 185 (4-byte).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Coral Sea; ICECARB; Profile; SEIS; Seismic; Seismic reflection profile; SEISREFL; SO292; SO292_43-1; Sonne_2; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 20
    facet.materialart.
    Unknown
    Passive acoustic monitoring data recorded by recorder SV1024 at mooring F4-15 in Fram Strait in 2012 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1024 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 78.8335° N, 6.9998° E, mooring F4-15, in Fram Strait. During a deployment period from June 2012 to June 2015, passive acoustic data were collected from June 2012 to December 2012 (recording period) by SV1024 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 1410 m depth and scheduled to record continuously at a sample rate of 5,333 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ARK-XXIX/2.1; ARK-XXVII/1; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; F04-15; F4-15; FRAM; FRontiers in Arctic marine Monitoring; MOOR; Mooring; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS80; PS80/033-1; PS93/004-1; PS93.1
    Type: Dataset
    Format: text/tab-separated-values, 148 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 21
    facet.materialart.
    Unknown
    (Table 3 BHTV) Interval-mean bedding directions based on borehole televiewer data of core CRP-3 (2001)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: -; Azimuth; Bed dip; Calculated; Cape Roberts Project; Compass; Confidence; Core wireline system; CRP; CRP-3; CWS; Depth, bottom/max; Depth, top/min; Lithology/composition/facies; Precision; Ross Sea; Sampling/drilling from ice; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 250 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 22
    facet.materialart.
    Unknown
    (Table 3) Macro- and meiofaunal species abundance in box core samples from the North Pacific Ocean (1974)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 7TOW_7; 7TOW07WT,SIO cruise 123; Aplacophora; Argo; Ascidiacea; BC; Bivalvia; Box corer; Brachiopoda; Bryozoa; CLIMAXII-H14; CLIMAXII-H15; CLIMAXII-H16; CLIMAXII-H17; CLIMAXII-H18; CLIMAXII-H3; CLIMAXII-H5; CLIMAXII-H6; CLIMAXII-H7; CLIMAXII-H8; Cnidaria; Copepoda; DEPTH, sediment/rock; Echiurida; Elevation of event; Event label; Gastropoda; H-03; H-05; H-06; H-07; H-08; H-14; H-15; H-16; H-17; H-18; H-29; H-32; Holothuroidea; Isopoda; Latitude of event; Longitude of event; Macrofauna indeterminata; North Pacific; Number of species; Oligochaeta; Ophiuroidea; Ostracoda; Pacific Ocean; Polychaeta; Porifera; SCAN; Scaphopoda; Sipunculida; Tanaidacea; Thomas Washington
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 23
    facet.materialart.
    Unknown
    (Table 2, 3) Macro- and meiofaunal specimens abundance, organic carbon content and analysis of coarse clasts of box core samples from the North Pacific Ocean (1974)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 7TOW_7; 7TOW07WT,SIO cruise 123; Aplacophora; Argo; Ascidiacea; BC; Bivalvia; Box corer; Brachiopoda; Bryozoa; Carbon, organic, total; CLIMAXII-H14; CLIMAXII-H15; CLIMAXII-H16; CLIMAXII-H17; CLIMAXII-H18; CLIMAXII-H3; CLIMAXII-H5; CLIMAXII-H6; CLIMAXII-H7; CLIMAXII-H8; Cnidaria; Copepoda; DEPTH, sediment/rock; Echiurida; Elevation of event; Event label; Fish teeth; Gastropoda; H-03; H-05; H-06; H-07; H-08; H-14; H-15; H-16; H-17; H-18; H-29; H-32; Holothuroidea; Isopoda; Latitude of event; Longitude of event; Macrofauna, abundance; Macrofauna indeterminata; Meiofauna, abundance of metazoa; Nematoda; Nodules; North Pacific; Oligochaeta; Ophiuroidea; Ostracoda; Pacific Ocean; Polychaeta; Porifera; SCAN; Scaphopoda; Sipunculida; Tanaidacea; Thomas Washington; Volume; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 325 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 24
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-019 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-019; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 25
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-063 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-063; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 26
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-070 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-070; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Spade box corer; Tanaidacea; Tubes; Tubes, dismembered; VEGBOXC
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 27
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-089 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-089; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 601 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 28
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-087 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-087; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Spade box corer; Tanaidacea; Tubes; Tubes, dismembered; VEGBOXC
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 29
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-098 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-098; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Spade box corer; Tanaidacea; Tubes; Tubes, dismembered; VEGBOXC
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 30
    facet.materialart.
    Unknown
    Literature review of elasmobranch bycatch and retention rate (2015)
    PANGAEA
    In:  Supplement to: James, Kelsey; Lewison, Rebecca; Dillingham, Peter; Curtis, Alexandra; Moore, Jeffrey (2015): Drivers of retention and discards of elasmobranch non-target catch. Environmental Conservation, 43(01), 3-12, https://doi.org/10.1017/S0376892915000168
    Details
    Publication Date: 2024-04-29
    Description: To address growing concern over the effects of fisheries non-target catch on elasmobranchs worldwide, the accurate reporting of elasmobranch catch is essential. This requires data on a combination of measures, including reported landings, retained and discarded non-target catch, and post-discard survival. Identification of the factors influencing discard vs. retention is needed to improve catch estimates and to determine wasteful fishing practices. To do this we compared retention rates of elasmobranch non-target catch in a broad subset of fisheries throughout the world by taxon, fishing country, and gear. A regression tree and random forest analysis indicated that taxon was the most important determinant of retention in this dataset, but all three factors together explained 59% of the variance. Estimates of total elasmobranch removals were calculated by dividing the FAO global elasmobranch landings by average retention rates and suggest that total elasmobranch removals may exceed FAO reported landings by as much as 400%. This analysis is the first effort to directly characterize global drivers of discards for elasmobranch non-target catch. Our results highlight the importance of accurate quantification of retention and discard rates to improve assessments of the potential impacts of fisheries on these species.
    Keywords: Country; Date/time end; Date/time start; Gear; Genus; Group; Identification; LATITUDE; LONGITUDE; Number of individuals; Number of years; Ocean and sea region; Reference/source; Retention, fraction; Species; Species, common name
    Type: Dataset
    Format: text/tab-separated-values, 4775 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 31
    facet.materialart.
    Unknown
    Stable isotopes, radionuclides, and calculated sea surface temperature of sediment core ANSIC-03_407 (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Age; AGE; Age, standard deviation; ANSIC-03; ANSIC-03_407; Calculated from Mg/Ca ratios; Calculated from UK'37 (Müller et al, 1998); Climate Change: Learning from the past climate; DEPTH, sediment/rock; GC; Globigerinoides ruber, δ18O; Gravity corer; Ion-exchange-chromatography; Lead-210; Lead-210 excess; Mass spectrometry; Mediterranean Sea Acidification in a Changing Climate; MedSeA; n-hexacosan-1-ol/(n-hexacosan-1-ol + n-nonacosane) ratio; Past4Future; Sea surface temperature, annual mean; St407; Strait of Sicilia; Urania
    Type: Dataset
    Format: text/tab-separated-values, 190 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 32
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K07C (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 62260 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 33
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K11B (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 4872 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 34
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K12A (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 59452 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 35
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K13A (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 110672 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 36
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K14B (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 81822 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 37
    facet.materialart.
    Unknown
    Hintereisferner (Ötztal, Tyrol, Austria) Digital Elevation Models (10 x 10 m) from Airborne Laser Scanning Data Set 2001-2013, links to GeoTIFFs (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Accuracy; Across track overlap; Airborne laser scan; Angle; Coordinate reference system; DATE/TIME; File name; Funding; Gear; HEF; HEIGHT above ground; Hintereisferner; Hintereisferner, Ötztaler Alpen, Austria; Sample rate; Shoot density; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 38
    facet.materialart.
    Unknown
    NCL20: A global GNSS velocity field for estimating tectonic plate motion and testing GIA models (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: We created a 3D GNSS surface velocity field to estimate tectonic plate motion and test the effect of a set of 1D and 3D Glacial Isostatic Adjustment (GIA) models on tectonic plate motion estimates. The main motivation for creating a bespoke 3D velocity field is to include a larger number of GNSS sites in the GIA-affected areas of investigation, namely North America, Europe, and Antarctica. We created the GNSS surface velocity field using the daily network solutions submitted to the International GNSS Service (IGS) “repro2” data processing campaign, and other similarly processed GNSS solutions. We combined multiple epoch solutions into unique global epoch solutions of high stability. The GNSS solutions we used were processed with the latest available methods and models at the time: all the global and regional solutions adhere to IGS repro2 standards. Every network solution gives standard deviations of site position coordinates and the correlations between the network sites. We deconstrained and combined the global networks and aligned them to the most recent ITRF2014 reference frame on a daily level. Additionally, several regional network solutions were deconstrained and aligned to the unique global solutions. The process was performed using the Tanya reference frame combination software (Davies & Blewitt, 1997; doi:10.1029/2000JB900004) which we updated to facilitate changes in network combination method and ITRF realisation. This resulted in 57% reduction of the WRMS of the alignment post-fit residuals compared to the alignment to the previous ITRF2008 reference frame for an overlapping period. We estimated linear velocities from the time series of GNSS coordinates using the MIDAS trend estimator (Blewitt et al., 2016; doi:10.1002/2015JB012552). The sites selected through multiple steps of quality control constitute a final GNSS surface velocity field which we denote NCL20. This velocity field has horizontal uncertainties mostly within 0.5 mm/yr, and vertical uncertainties mostly within 1 mm/yr, which make it suitable for testing GIA models and estimating plate motion models.
    Keywords: 1LSU_GNSS; 1NSU_GNSS; 1ULM_GNSS; AB04_GNSS; AB08_GNSS; AB12_GNSS; AC58_GNSS; ACOR_GNSS; ACP1_GNSS; ACP6_GNSS; ACSO_GNSS; ACUM_GNSS; ADE1_GNSS; ADIS_GNSS; ADRI_GNSS; AJAC_GNSS; AL30_GNSS; AL40_GNSS; AL50_GNSS; AL60_GNSS; AL70_GNSS; AL90_GNSS; ALCI_GNSS; ALES_GNSS; ALGO_GNSS; ALIC_GNSS; ALRT_GNSS; AMC2_GNSS; ANDO_GNSS; ANG1_GNSS; ANP5_GNSS; ANTO_GNSS; AOML_GNSS; AOPR_GNSS; ARBT_GNSS; ARCM_GNSS; ARFY_GNSS; ARGI_GNSS; ARHP_GNSS; ARHR_GNSS; ARJM_GNSS; ARP3_GNSS; ARPG_GNSS; ARTU_GNSS; ASC1_GNSS; ASCG_GNSS; ASHV_GNSS; ASUB_GNSS; AUCK_GNSS; AUDR_GNSS; AUS5_GNSS; AUTN_GNSS; AVCA_GNSS; AXPV_GNSS; BACA_GNSS; BACK_GNSS; BACO_GNSS; BADH_GNSS; BAHR_GNSS; BAIA_GNSS; BAIE_GNSS; BAKE_GNSS; BAN2_GNSS; BARH_GNSS; BARN_GNSS; BAUS_GNSS; BAYR_GNSS; BBYS_GNSS; BCLN_GNSS; BELE_GNSS; BELF_GNSS; BELL_GNSS; BENN_GNSS; BET1_GNSS; BIAZ_GNSS; BIL5_GNSS; BISK_GNSS; BJCO_GNSS; BJU0_GNSS; BLA1_GNSS; BNDY_GNSS; BNFY_GNSS; BOD3_GNSS; BOGI_GNSS; BOMJ_GNSS; BOR1_GNSS; BORJ_GNSS; BORK_GNSS; BORR_GNSS; BPDL_GNSS; BRAZ_GNSS; BRFT_GNSS; BRGS_GNSS; BRIP_GNSS; BRMF_GNSS; BRMU_GNSS; BRST_GNSS; BRTW_GNSS; BRU5_GNSS; BRUS_GNSS; BSCN_GNSS; BSMK_GNSS; BUDP_GNSS; BUE1_GNSS; BUMS_GNSS; BURI_GNSS; BVHS_GNSS; BYDG_GNSS; CACE_GNSS; CAEN_GNSS; CAGL_GNSS; CAGS_GNSS; CALU_GNSS; CANT_GNSS; CAPF_GNSS; CARM_GNSS; CAS1_GNSS; CASB_GNSS; CASC_GNSS; CASP_GNSS; CAYU_GNSS; CBMD_GNSS; CBSB_GNSS; CCV5_GNSS; CEBR_GNSS; CEDU_GNSS; CEFE_GNSS; CFRM_GNSS; CGGN_GNSS; CHA1_GNSS; CHAN_GNSS; CHAT_GNSS; CHB5_GNSS; CHIZ_GNSS; CHL1_GNSS; CHPI_GNSS; CHR1_GNSS; CHT1_GNSS; CHTI_GNSS; CHUR_GNSS; CJTR_GNSS; CKIS_GNSS; CLIB_GNSS; CLK5_GNSS; CLRK_GNSS; CN13_GNSS; CN14_GNSS; CN15_GNSS; CN16_GNSS; CN23_GNSS; CN24_GNSS; CN28_GNSS; CN29_GNSS; CN33_GNSS; CN34_GNSS; CN35_GNSS; CN41_GNSS; CN46_GNSS; CN53_GNSS; CNC0_GNSS; CNIV_GNSS; CNMR_GNSS; COLA_GNSS; CONO_GNSS; CORB_GNSS; CORC_GNSS; COTE_GNSS; COVG_GNSS; COVX_GNSS; CPAR_GNSS; CRAK_GNSS; CRAO_GNSS; CRDI_GNSS; CRST_GNSS; CTAB_GNSS; CTBR_GNSS; CTGU_GNSS; CTPU_GNSS; CTWN_GNSS; CUIB_GNSS; CUSV_GNSS; CVMS_GNSS; DAKR_GNSS; DANE_GNSS; DARE_GNSS; DAVM_GNSS; DEAR_GNSS; DEFI_GNSS; DEGE_GNSS; DELM_GNSS; DENE_GNSS; DENT_GNSS; DEVI_GNSS; DGLS_GNSS; DNRC_GNSS; DOBS_GNSS; DOMS_GNSS; DOUR_GNSS; DREM_GNSS; DRV5_GNSS; DSL1_GNSS; DUBO_GNSS; DUM1_GNSS; DUPT_GNSS; EBRE_GNSS; ECSD_GNSS; EDOC_GNSS; EGLT_GNSS; EIJS_GNSS; ELEN_GNSS; ENG1_GNSS; ENIS_GNSS; ENTZ_GNSS; EPRT_GNSS; ESCO1_GNSS; ESCU_GNSS; EUR2_GNSS; EUSK_GNSS; EVPA_GNSS; EXU0_GNSS; FALL_GNSS; FFMJ_GNSS; FIE0_GNSS; FLIN_GNSS; FLIU_GNSS; FLM5_GNSS; FLRS_GNSS; FONP_GNSS; FOYL_GNSS; FREE_GNSS; FREI_GNSS; FRKN_GNSS; FTP4_GNSS; FUNC_GNSS; GAAT_GNSS; GABR_GNSS; GACC_GNSS; GACL_GNSS; GACR_GNSS; GAIA_GNSS; GAIT_GNSS; GAL1_GNSS; GANP_GNSS; GARF_GNSS; GAST_GNSS; GCEA_GNSS; GDMA_GNSS; Glacial Isostatic Adjustment (GIA) model; GLPM_GNSS; GLPS_GNSS; GLSV_GNSS; GMSD_GNSS; GNSS; GNSS Receiver; GNVL_GNSS; GODE_GNSS; GOGA_GNSS; GOPM_GNSS; GOUG_GNSS; GRAS_GNSS; GRE0_GNSS; GRIS_GNSS; GRN0_GNSS; GRTN_GNSS; GTK0_GNSS; GUAM_GNSS; GUAX_GNSS; GUIP_GNSS; GUUG_GNSS; GWWL_GNSS; HAAG_GNSS; HAC6_GNSS; HAG6_GNSS; HALY_GNSS; HAMM_GNSS; HAMP_GNSS; HARK_GNSS; HASM_GNSS; HBCH_GNSS; HBRK_GNSS; HCES_GNSS; HDIL_GNSS; HELG_GNSS; HERS_GNSS; HILB_GNSS; HILO_GNSS; HIPT_GNSS; HJOR_GNSS; HKLO_GNSS; HLFX_GNSS; HNLC_GNSS; HNPT_GNSS; HNUS_GNSS; HOB2_GNSS; HOBU_GNSS; HOE2_GNSS; HOLM_GNSS; HONS_GNSS; horizontal GIA; HOS0_GNSS; HOUM_GNSS; HOUS_GNSS; HOWE_GNSS; HOWN_GNSS; HRMM_GNSS; HRST_GNSS; HUGO_GNSS; HYDE_GNSS; IBIZ_GNSS; ICT1_GNSS; IGEO_GNSS; IGGY_GNSS; IISC_GNSS; ILDX_GNSS; ILHA_GNSS; ILSA_GNSS; ILUC_GNSS; IMBT_GNSS; IMPZ_GNSS; INAB_GNSS; INES1_GNSS; INGG_GNSS; INVM_GNSS; INWN_GNSS; IQAL_GNSS; IQUI_GNSS; IRBE_GNSS; IRKM_GNSS; ISCO_GNSS; ISPA_GNSS; IZAN_GNSS; JAB2_GNSS; JCT1_GNSS; JFNG_GNSS; JFWS_GNSS; JOEN_GNSS; JONM_GNSS; JOZE_GNSS; JXVL_GNSS; KAR0_GNSS; KARL_GNSS; KARR_GNSS; KAT1_GNSS; KAUS_GNSS; KELY_GNSS; KERM_GNSS; KEVO_GNSS; KEW5_GNSS; KHAJ_GNSS; KHAR_GNSS; KIRI_GNSS; KIRM_GNSS; KIRU_GNSS; KIVE_GNSS; KJUN_GNSS; KLOP_GNSS; KMOR_GNSS; KNGS_GNSS; KNS5_GNSS; KNTN_GNSS; KOK1_GNSS; KOKM_GNSS; KOSG_GNSS; KOUC_GNSS; KOUG_GNSS; KOUR_GNSS; KRA0_GNSS; KRSS_GNSS; KRTV_GNSS; KST5_GNSS; KSTU_GNSS; KSU1_GNSS; KULU_GNSS; KUN0_GNSS; KUNZ_GNSS; KURE_GNSS; KUUJ_GNSS; KUUS_GNSS; KUWT_GNSS; KVTX_GNSS; KWJ1_GNSS; KWST_GNSS; KYBO_GNSS; KYMH_GNSS; KYTB_GNSS; KYTC_GNSS; KYTD_GNSS; KYTE_GNSS; KYTG_GNSS; KYTH_GNSS; KYTK_GNSS; KYTL_GNSS; KYW1_GNSS; KZN2_GNSS; LAMA_GNSS; LAMT_GNSS; LANS_GNSS; LATITUDE; LCDT_GNSS; LCHS_GNSS; LCKM_GNSS; LCSB_GNSS; LEBA_GNSS; LEES_GNSS; LEIJ_GNSS; LEK0_GNSS; LEON_GNSS; LESV_GNSS; LHCL_GNSS; LHUE_GNSS; LIL2_GNSS; LKHU_GNSS; LLIV_GNSS; LMNO_GNSS; LODZ_GNSS; LOFS_GNSS; LONGITUDE; LOVM_GNSS; LPAL_GNSS; LPGS_GNSS; LPIL_GNSS; LPLY_GNSS; LROC_GNSS; LSBN_GNSS; LSUA_GNSS; LWN0_GNSS; LWX1_GNSS; LYCO_GNSS; LYNS_GNSS; LYRS_GNSS; MACC_GNSS; MADM_GNSS; MADO_GNSS; MAG0_GNSS; MAIR_GNSS; MAJU_GNSS; MALD_GNSS; MALL_GNSS; MAN2_GNSS; MAPA_GNSS; MAR6_GNSS; MARJ_GNSS; MARN_GNSS; MARS_GNSS; MAS1_GNSS; MAUI_GNSS; MAW1_GNSS; MAYZ_GNSS; MCAR_GNSS; MCD5_GNSS; MCIL_GNSS; MCM4_GNSS; MCN1_GNSS; MCNE_GNSS; MCTY_GNSS; MDOR_GNSS; MDR6_GNSS; MDVJ_GNSS; MET6_GNSS; MET7_GNSS; METG_GNSS; MFLD_GNSS; MIAR_GNSS; MICW_GNSS; MIDS_GNSS; MIGD_GNSS; MIHO_GNSS; MIHT_GNSS; MIIR_GNSS; MIKL_GNSS; MIL1_GNSS; MIMN_GNSS; MIMQ_GNSS; MIN0_GNSS; MINI_GNSS; MIPR_GNSS; MIST_GNSS; MKEA_GNSS; MLF1_GNSS; MLVL_GNSS; MNBD_GNSS; MNBE_GNSS; MNCA_GNSS; MNDN_GNSS; MNGR_GNSS; MNJC_GNSS; MNP1_GNSS; MNPL_GNSS; MNRM_GNSS; MNRT_GNSS; MNRV_GNSS; MNSC_GNSS; MNTF_GNSS; MNVI_GNSS; MOAL_GNSS; MOB1_GNSS; MOBS_GNSS; MOED_GNSS; MOEL_GNSS; MOGF_GNSS; MOPN_GNSS; MORP_GNSS; MOVB_GNSS; MPLA_GNSS; MPLE_GNSS; MRO1_GNSS; MRRN_GNSS; MSB5_GNSS; MSHT_GNSS; MSKU_GNSS; MSNA_GNSS; MSPK_GNSS; MSSC_GNSS; MSYZ_GNSS; MTMS_GNSS; MTNT_GNSS; MTY2_GNSS; NAIN_GNSS; NAMA_GNSS; NAPL_GNSS; NAS0_GNSS; NAUR_GNSS; NAUS_GNSS; NBR6_GNSS; NCDU_GNSS; NCGO_GNSS; NCJA_GNSS; NCPO_GNSS; NCSW_GNSS; NCWH_GNSS; NCWI_GNSS; NDMB_GNSS; NEDR_GNSS; NEGI_GNSS; NEIA_GNSS; NESC_GNSS; NEWL_GNSS; NHUN_GNSS; NIST_GNSS; NIUM_GNSS; NJCM_GNSS; NJHC_GNSS; NJI2_GNSS; NJOC_GNSS; NJTW_GNSS; NKLG_GNSS; NLIB_GNSS; NMKM_GNSS; NNOR_GNSS; NOR0_GNSS; NOR1_GNSS; NOR3_GNSS; NOUM_GNSS; NPLD_GNSS; NPRI_GNSS; NRCM_GNSS; NRIL_GNSS; NRL1_GNSS; NRMD_GNSS; NTUS_GNSS; NYBH_GNSS; NYBT_GNSS; NYCL_GNSS; NYCP_GNSS; NYDV_GNSS; NYFD_GNSS; NYFS_GNSS; NYFV_GNSS; NYHC_GNSS; NYHM_GNSS; NYHS_GNSS; NYIR_GNSS; NYLV_GNSS; NYMD_GNSS; NYML_GNSS; NYNS_GNSS; NYON_GNSS; NYPD_GNSS; NYPF_GNSS; NYRB_GNSS; NYST_GNSS; NYWL_GNSS; NYWT_GNSS; OAKH_GNSS; ODS5_GNSS; OHAS_GNSS; OHFA_GNSS; OHHU_GNSS; OHLI_GNSS; OHMO_GNSS; OHMR_GNSS; OHPR_GNSS; OKAN_GNSS; OKAR_GNSS; OKBF_GNSS; OKCB_GNSS; OKCL_GNSS; OKDT_GNSS; OKGM_GNSS; OKHV_GNSS; OKMA_GNSS; OKOM_GNSS; OLKI_GNSS; OMH5_GNSS; ONSM_GNSS; OPMT_GNSS; ORMD_GNSS; OSKM_GNSS; OSLS_GNSS; OSPA_GNSS; OST0_GNSS; OUAG_GNSS; OULU_GNSS; OVE0_GNSS; P032_GNSS; P033_GNSS; P037_GNSS; P038_GNSS; P039_GNSS; P040_GNSS; P042_GNSS; P043_GNSS; P044_GNSS; P049_GNSS; P050_GNSS; P051_GNSS; P052_GNSS; P053_GNSS; P054_GNSS; P055_GNSS; P070_GNSS; P728_GNSS; P775_GNSS; P776_GNSS; P777_GNSS; P778_GNSS; P779_GNSS; P780_GNSS; P802_GNSS; P803_GNSS; P807_GNSS; P817_GNSS; PAAP_GNSS; PAFU_GNSS; PALK_GNSS; PAMS_GNSS; PAPC_GNSS; PARK_GNSS; PARY_GNSS; PASA_GNSS; PASS_GNSS; PATN_GNSS; PATT_GNSS; PBCH_GNSS; PBRM_GNSS; PECE_GNSS; PICL_GNSS; PIGT_GNSS; PIRT_GNSS; PKTN_GNSS; plate motion model; PLTC_GNSS; PNBM_GNSS; PNGM_GNSS; PNR6_GNSS; POAL_GNSS; POHN_GNSS; POLV_GNSS; POR2_GNSS; POTS_GNSS; POUS_GNSS; POVE_GNSS; PRCO_GNSS; PRDS_GNSS; PREI_GNSS; PREM_GNSS; PRPT_GNSS; PSU1_GNSS; PTBB_GNSS; PTGV_GNSS; PTIR_GNSS; PUB5_GNSS; PUIN_GNSS; PULK_GNSS; PUO1_GNSS; PUYV_GNSS; PWEL_GNSS; QAQ1_GNSS; QIKI_GNSS; RAMG_GNSS; RAMO_GNSS; RANT_GNSS; RAT0_GNSS; RBAY_GNSS; RCMV_GNSS; RECF_GNSS; REDU_GNSS; REDZ_GNSS; Reference frame; RESO_GNSS; REUN_GNSS; RG13_GNSS; RG15_GNSS; RG16_GNSS; RG17_GNSS; RG18_GNSS; RG19_GNSS; RG23_GNSS; RG24_GNSS; RIC1_GNSS; RIGA_GNSS; RIO1_GNSS; RIOJ_GNSS; RIS5_GNSS; RLAP_GNSS; RMBO_GNSS; ROB4_GNSS; ROBN_GNSS; ROMU_GNSS; ROSS_GNSS; ROTH_GNSS; RWSN_GNSS;
    Type: Dataset
    Format: text/tab-separated-values, 6755 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 39
    facet.materialart.
    Unknown
    Radionuclide and total organic carbon contents, sedimentation, mass accumulation and organic carbon deposition rates in Atacama, Kuril-Kamchatka, Kermadec and Mariana Trench systems (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: To investigate sedimentation processes in hadal trenches, sediment cores were collected from Atacama, Kuril-Kamchatka, Kermadec and Mariana Trench regions. We collected 9 sediment cores from Atacama Trench (R/V Sonne SO261; from 2/Mar to 2/Apr/2018), 4 sediment cores from Kuril-Kamchatka Trench (R/V Sonne SO250; from 16/Aug to 26/Sep/2016), 3 sediment cores from Kermadec Trench (R/V Tangaroa; TAN1711 from 24/Nov to 14/Dec/2017), and 2 sediment cores from Mariana Trench (R/V Yokosuka; YK10-11 from 20/Nov to 4/Dec/2010), respectively. Using with these cores, we measured radionuclides (210Pb, 214Pb and 137Cs) and total organic carbon (TOC) profiles to calculate sedimentation, mass accumulation and TOC deposition rates. This dataset contains sapling site locations, 210Pb (and excess 210Pb), 214Pb and 137Cs concentrations and TOC contents of these cores. 14C ages of organic carbon are also measured for Mariana Trench sediment cores. Sedimentation, mass accumulation and organic carbon deposition rates calculated with excess 210Pb profiles and the surface TOC contents are also provided. Datasets about mass accumulation rates from continental shelf to the hadal environments and burial efficiency of organic carbon are compiled from our data and the previously published papers (references are shown in each file). These data are used for preparing figures, tables and the discussions in Oguri et al. (2022).
    Keywords: B_LANDER; BC; Bottom lander; Box corer; Documentation file; File content; focusing factor; GeoB22901-1, Site 1; GeoB22903-1, Site 5; GeoB22904-1, Site 4; GeoB22905-1, Site 3; GeoB22906-1, Site 7; GeoB22907-1, Site 2; GeoB22908-1, Site 10; GeoB22909-2, Site 9; Hadal trench; Kermadec Trench; KuramBio II; Mariana Trench; mass accumulation rate; mass-wasting event; MUC; MultiCorer; North Pacific Ocean; Office Open XML Workbook; organic carbon deposition rate; Radionuclides; Reference/source; Site 6; SO250; SO250_104-1; SO250_16-1; SO250_53-1; SO250_74-1; SO261; SO261_105-1; SO261_116-1; SO261_21-1; SO261_35-1; SO261_48-1; SO261_63-1; SO261_75-1; SO261_8-2; SO261_92-1; Sonne_2; TAN1711; TAN1711_K4; TAN1711_K6; TAN1711_K7; Tangaroa; YK10-11; YK10-11_M1; YK10-11_M2; Yokosuka
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 40
    facet.materialart.
    Unknown
    Chlorophyll a distribution and size structure across contrasting water masses of the southwest Pacific Ocean (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Here we present physico-chemical and biological data collected during 12 research cruises conducted in SW Pacific waters east of Aotearoa New Zealand between 2009 and 2017. Nutrient and chla samples were collected mainly with Niskin bottles deployed with a Seabird 9plus CTD rosette. A small fraction of the data presented were sampled also from manually deployed Niskin bottles and the RV Tangaroa Underway Flow-Through System (TUFTS) system equipped with temperature, salinity and fluorescence sensors. The dataset includes measurements of temperature, salinity, oxygen and transmissivity obtained with a Seabird 9plus; inorganic nutrients (dissolved reactive phosphorus, dissolved reactive silica, nitrate + nitrite); total chlorophyll a (chla) filtered onto GFF filter, size fractionated chla (0.2, 2, 20 microns) obtained by sequential filtration of seawater through 20, 2 and 0.2 micron polycarbonate filters; and derived mixed-layer depth estimated following temperature and density criteria. The depth of the euphotic zone included was calculated from chla concentration following the approach described in Maritorena and Morel, 2001 (doi:10.1029/2000jc000319). These data were used to provide oceanographic context to DNA metabarcoding analysis of 18S rRNA V4 region that was carried out on DNA samples collected in parallel to nutrient and chla samples. The study resulting from this analysis has been submitted to Progress in Oceanography.
    Keywords: 5806; 5809; 5819; 5829; 5833; 61TG20151203; 61TG20160509; 61TG20180205; 6372; 6377; 6380; 6410; 6421; 6425; 6431; 6433; 6623; 6624; 6626; 6633; 6636; 6637; 6638; 6854; 6855; 6857; 6861; 6877; 6878; 6879; 7407; 7408; 7419; 7421; 7504; 7509; 7517; 7525; 7526; 7533; 7545; 7546; 7557; 7558; 7562; 7756; 7757; 7758; 7759; 7765; 7769; 7770; 7771; 7773; 7774; 7776; 7777; 7805; 7815; 7818; 7824; 7839; 7841; 7855; 7858; 7878; 7879; 8531; 8560; 8561; 8565; 8569; 8589; 8650; 8660; 8805; 8811; 8815; 8824; 8828; 8837; 8838; 8839; 8840; 8841; 8842; 8847; 8856; 8911; Attenuation coefficient; Bay of Plenty; Bottle, Niskin; Bounty Trough; Calculated after Maritorena and Morel, 2001; Campbell Plateau Physical Oceanography; Cast number; Chatham Rise; Chlorophyll a; Cruise/expedition; CTD, Sea-Bird, SBE 911plus; CTD, Seabird 19plus; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Depth of the euphotic zone; Elevation of event; Estimated; Event label; Filtration; Fluorescence; KAH1303; KAH1303_U7756; KAH1303_U7757; KAH1303_U7758; KAH1303_U7759; KAH1303_U7765; KAH1303_U7769; KAH1303_U7770; KAH1303_U7771; KAH1303_U7773; KAH1303_U7774; KAH1303_U7776; KAH1303_U7777; Kaharoa; Latitude of event; Longitude of event; Mixed layer depth; mixed-layer depth; New Zealand EEZ; New Zealand northeast shelf-slope; NIS; Nitrate; nutrients; Ocean and sea region; Oxygen; Phosphorus, reactive; Phytoplankton; Project; Salinity; Sample ID; Sample method; Sampling date; Silicate, reactive; Site; Size-fractionated chl a; SOAP (Surface Ocean Aerosol Production); Southwest Pacific; Spring Bloom II; TAN0902; TAN0902_U5806; TAN0902_U5809; TAN0902_U5819; TAN0902_U5829; TAN0902_U5833; TAN0909; TAN0909_U6372; TAN0909_U6377; TAN0909_U6380; TAN0909_U6410; TAN0909_U6421; TAN0909_U6425; TAN0909_U6431; TAN0909_U6433; TAN1006; TAN1006_U6623; TAN1006_U6624; TAN1006_U6626; TAN1006_U6633; TAN1006_U6636; TAN1006_U6637; TAN1006_U6638; TAN1103; TAN1103_U6854; TAN1103_U6855; TAN1103_U6857; TAN1103_U6861; TAN1103_U6877; TAN1103_U6878; TAN1103_U6879; TAN1113; TAN1113_U7407; TAN1113_U7408; TAN1113_U7419; TAN1113_U7421; TAN1203; TAN1204; TAN1204_U7545; TAN1204_U7546; TAN1204_U7557; TAN1204_U7558; TAN1204_U7562; TAN1212; TAN1212_SIS1; TAN1212_SIS2; TAN1212_SIS3; TAN1212_SIS4; TAN1212_SIS5; TAN1212_SIS6; TAN1212_SIS7; TAN1212_U7805; TAN1212_U7815; TAN1212_U7818; TAN1212_U7824; TAN1212_U7839; TAN1212_U7841; TAN1212_U7855; TAN1212_U7858; TAN1212_U7878; TAN1212_U7879; TAN1516; TAN1516_C10; TAN1516_C4; TAN1516_C6; TAN1516_C7; TAN1516_C8; TAN1516_C9; TAN1516_F1; TAN1516_F2; TAN1516_F3; TAN1516_S10; TAN1516_S15; TAN1516_S18; TAN1516_S22; TAN1516_S5; TAN1516_S9; TAN1604; TAN1604_U8531; TAN1604_U8560; TAN1604_U8561; TAN1604_U8565; TAN1604_U8569; TAN1604_U8589; TAN1604_U8650; TAN1604_U8660; TAN1702; TAN1702_10; TAN1702_11-2; TAN1702_17Jo; TAN1702_20; TAN1702_31; TAN1702_34; TAN1702_40; TAN1702_44; TAN1702_56; TAN1702_62; TAN1702_7; TAN1702_8; TAN1702_9; TAN1802_U8911; TAN1802, TAN1802_CTD; Tangaroa; Temperature, water; Temperature, water, potential; Transmissivity; U7504; U7505; U7508; U7509; U7517; U7518; U7525; U7526; U7533; Water mass
    Type: Dataset
    Format: text/tab-separated-values, 11227 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 41
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_19-115 on 2020-01-11, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_19-115; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 77760 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 42
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_19-27 on 2020-01-07, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_19-27; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 239388 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 43
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_20-101 on 2020-01-18, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_20-101; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 209931 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 44
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_20-23 on 2020-01-14, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_20-23; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 182592 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 45
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_21-125 on 2020-01-25, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_21-125; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 239458 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_21-36 on 2020-01-21, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_21-36; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 241403 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/2_22-45 on 2020-01-28, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/2; PS122/2_22-45; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 153219 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 48
    facet.materialart.
    Unknown
    (Table 2) Interval-mean bedding directions based on dipmeter analyses of sediment core CRP-3 (2001)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: -; Azimuth; Bed dip; Calculated; Cape Roberts Project; Compass; Confidence; Core wireline system; CRP; CRP-3; CWS; Depth, bottom/max; Depth, top/min; Lithology/composition/facies; Precision; Ross Sea; Sampling/drilling from ice; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 682 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 49
    facet.materialart.
    Unknown
    (Table 3 core) Interval-mean bedding directions based on core-scan data of core CRP-3 (2001)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: -; Azimuth; Bed dip; Calculated; Cape Roberts Project; Compass; Confidence; Core wireline system; CRP; CRP-3; CWS; Depth, bottom/max; Depth, top/min; Lithology/composition/facies; Precision; Ross Sea; Sampling/drilling from ice; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 251 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 50
    facet.materialart.
    Unknown
    Snow covered digital elevation model and snow depth product (2019), Trail Valley Creek, NWT, Canada (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: This dataset contains one snow covered digital elevation model (DEM) and one snow depth product from April 10, 2019 over the Trail Valley Creek research watershed, Northwest Territories, Canada (68°44'25 N, 133°29'36 W). The products are derived from airborne laser scanner data that was collected with a Riegl VQ-580 on board the Alfred Wegener Institute's POLAR-6 science aircraft. The snow covered DEM contains the snow covered landscape elevations, i.e. the terrain and the snow. To obtain snow depth, a snow-free digital terrain model (DTM) needs to be subtracted from the snow covered DEM. We also provide a snow depth product, which we obtained by subtracting snow-free DTMs of Trail Valley Creek and the Inuvik to Tuktoyaktuk Highway (ITH) (both from August 2018) from the DEM including snow cover. Please note that the snow depth product covers only parts of the complete snow covered DEM. The data can be used for analysing spatial snow accumulation patterns.
    Keywords: AC; Airborne laser scanning; Aircraft; Arctic; AWI_Perma; Canada; Coordinate reference system; DATE/TIME; digital elevation model (DEM); Location; P6_217_ICEBIRD_2019; P6_217_ICEBIRD_2019_1904101502; PAMARCMIP 2019; Permafrost; Permafrost Research; POLAR 6; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); snow accumulation; snow depth
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 51
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_32-78 on 2020-03-22, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_32-78; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 221707 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 52
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_33-27 on 2020-03-24, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_33-27; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 165861 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 53
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_34-20 on 2020-03-31, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_34-20; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 206443 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 54
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_36-125 on 2020-04-18, survey 2 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_36-125; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 149426 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 55
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_36-24 on 2020-04-14, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_36-24; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 250295 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 56
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_38-50 on 2020-04-28, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_38-50; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 224293 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 57
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/3_39-111 on 2020-05-10, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/3; PS122/3_39-111; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3469 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 58
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/4_44-162 on 2020-06-24, survey 2 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/4; PS122/4_44-162; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 100670 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 59
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/4_44-206 on 2020-06-28, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/4; PS122/4_44-206; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 53760 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 60
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/4_45-149 on 2020-07-04, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/4; PS122/4_45-149; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 71915 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 61
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/4_46-172 on 2020-07-10, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/4; PS122/4_46-172; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 111996 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 62
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/4_47-31 on 2020-07-14, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/4; PS122/4_47-31; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 104986 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 63
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/4_48-4 on 2020-07-21, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/4; PS122/4_48-4; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 196587 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 64
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/5_60-165 on 2020-09-04, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/5; PS122/5_60-165; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 100221 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 65
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/5_60-28 on 2020-09-01, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/5; PS122/5_60-28; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 215576 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 66
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/5_60-5 on 2020-08-31, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/5; PS122/5_60-5; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 86222 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 67
    facet.materialart.
    Unknown
    ADCP instrument status from ROV survey PS122/5_59-269 on 2020-08-25, survey 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Instrument status from the Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to the remotely operated vehicle (ROV) during the MOSAiC expedition 2019/20.
    Keywords: Acoustic Doppler Current Profiling (ADCP), Nortek Aquadopp 2 Mhz; ADCP; Amplitude, number beams; Analog input; Arctic Ocean; AWI_SeaIce; Battery, voltage; BEAST; Cell number; Cell size; Code; Coordinate reference system; DATE/TIME; DEPTH, water; Distance; Distance, relative, X; Distance, relative, Y; FRAM; FRontiers in Arctic marine Monitoring; Heading; Instrument; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Pitch angle; Polarstern; Pressure, water; PS122/5; PS122/5_59-269; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Roll angle; Sea ice; Sea Ice Physics @ AWI; Sound velocity in water; Survey ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 142947 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 68
    facet.materialart.
    Unknown
    Raw grain sizes of sediments from the reef island Barrang Lompo, Spermonde Archipelago, Indonesia (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: The dataset is based on 50 soft carbonate sediment samples from the reef island Barrang Lompo in the Spermonde Archipelago, Sulawesi, SE Asia. The subsurface samples were obtained by percussion drilling at 5 coring locations on the island. From each coring location, 10 samples were retrieved in 1 m intervals, thus providing samples from a maximum depth of 10 m below surface at each site (1 m, 2 m, ..., 10 m). Laboratory data was collected between 2019 and 2021. The provided dataset contains raw grain sizes determined after dry sieving. Samples were weighed before sieving (initial mass). After sieving, fractions (diameters from 32 mm to 0.0063 mm) from each sieve were weighed to analyze grain size distribution. The collected data provides information of reef-derived sedimentation in the Holocene in the Spermonde Archipelago.
    Keywords: Barrang_Lompo_1; Barrang_Lompo_2; Barrang_Lompo_3; Barrang_Lompo_4; Barrang_Lompo_5; BL1; BL2; BL3; BL4; BL5; Calculated average/mean values; Carbonate Sediments; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dried and weighted; Dry sieving; Event label; Facies; Grain Size; Holocene; Leibniz Centre for Tropical Marine Research; PCOR; Percussion corer; radiocarbon age; Reef island; Sample ID; Sediment, dry mass; sediment archives; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 0.125-0.063 mm; Size fraction 0.250-0.125 mm; Size fraction 0.500-0.250 mm; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 16-8 mm, medium gravel; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 32-16 mm, coarse gravel, pebble; Size fraction 4.0-2.0 mm, very fine gravel, granule; Size fraction 8.0-4.0 mm, fine gravel; Southeast Asia; Spermonde Archipelago; SW Sulawesi; ZMT
    Type: Dataset
    Format: text/tab-separated-values, 655 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 69
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13077-093 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13077-093; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 601 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 70
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13078-015 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13078-015; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Spade box corer; Tanaidacea; Tubes; Tubes, dismembered; VEGBOXC
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 71
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13078-013 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13078-013; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D226; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 602 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 72
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13200-004 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13200-004; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D229; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Echiuroidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 440 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 73
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13200-008 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13200-008; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D229; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Echiuroidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 440 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 74
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13200-017 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13200-017; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D229; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Echiuroidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 440 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 75
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13200-020 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13200-020; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D229; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Echiuroidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 440 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 76
    facet.materialart.
    Unknown
    Benthic macrofauna abundance of sediment core 13200-025 (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: 13200-025; Actiniaria; Amphipoda; Aplacophora; Ascidiacea; Asteroidea; BC; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; Bivalvia; Box corer; Cephalopoda; Cirripedia; Cumacea; D229; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Discovery (1962); Echinoidea; Echiuroidea; Ectoprocta; Eggs; Entoprocta; Eucarida; Fish indeterminata; Gastropoda; Holothuroidea; Hydroidea; Incertae sedis; Isopoda; Leptostraca; Macrofauna, total; Madreporaria; Nemertea; Oligochaeta; Ophiuroidea; Ostracoda; Pennatulacea; Phoronida; Platyhelminthes; Polychaeta; Polychaeta fragments; Porifera; Priapula; Pycnogonida; Scaphopoda; Shell; Shrimps; Sipuncula; Tanaidacea; Tubes; Tubes, dismembered
    Type: Dataset
    Format: text/tab-separated-values, 440 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 77
    facet.materialart.
    Unknown
    Description of dinoflagellate wall layers from the Upper Hauterivian (Cretaceous) of a claystone-marlstone succession in the clay-pit Frielingen (2013)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Dinoflagellates, calcareous, wall thickness; Dinoflagellates, calcareous, wall thickness, inside; Dinoflagellates, calcareous, wall thickness, outside; Dinoflagellates, one wall-layer; Dinoflagellates, two wall-layers; Event label; Frielingen; Germany, Lower Saxony; Latitude of event; Longitude of event; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 78
    facet.materialart.
    Unknown
    Number of laminae in sediment core MD95-2002, Celtic Margin (2012)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: AGE; CALYPSO; Calypso Corer; Climate Change: Learning from the past climate; DEPTH, sediment/rock; IMAGES I; Marion Dufresne (1995); MD101; MD952002; MD95-2002; Meriadzec; Number of lamina; Past4Future
    Type: Dataset
    Format: text/tab-separated-values, 1650 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 79
    facet.materialart.
    Unknown
    (Table S1) Chronostratigraphic constrains for sediment core AND1-1B (2009)
    PANGAEA
    In:  Supplement to: Naish, Tim R; Powell, Ross; Levy, Richard H; Wilson, Gary S; Scherer, Reed P; Talarico, Franco M; Krissek, Lawrence A; Niessen, Frank; Pompilio, Massimo; Wilson, Terry; Carter, Lionel; DeConto, Robert M; Huybers, Peter; McKay, Robert M; Pollard, David; Ross, J; Winter, Diane M; Barrett, Peter J; Browne, G; Cody, Rosemary; Cowan, Ellen A; Crampton, James; Dunbar, Gavin B; Dunbar, Nelia W; Florindo, Fabio; Gebhardt, Catalina; Graham, I J; Hannah, Mike J; Hansaraj, D; Harwood, David M; Helling, D; Henrys, Stuart A; Hinnov, Linda A; Kuhn, Gerhard; Kyle, Philip R; Läufer, Andreas; Maffioli, P; Magens, Diana; Mandernack, Kevin W; McIntosh, W C; Millan, C; Morin, Roger H; Ohneiser, Christian; Paulsen, Timothy S; Persico, Davide; Raine, J Ian; Reed, J; Riesselman, Christina R; Sagnotti, Leonardo; Schmitt, Douglas R; Sjunneskog, Charlotte; Strong, P; Taviani, Marco; Vogel, Stefan; Wilch, T; Williams, Trevor (2009): Obliquity-paced Pliocene West Antarctic ice sheet oscillations. Nature, 458(7236), 322-329, https://doi.org/10.1038/nature07867
    Details
    Publication Date: 2024-04-29
    Description: Thirty years after oxygen isotope records from microfossils deposited in ocean sediments confirmed the hypothesis that variations in the Earth's orbital geometry control the ice ages (Hays et al., 1976, doi:10.1126/science.194.4270.1121), fundamental questions remain over the response of the Antarctic ice sheets to orbital cycles (Raymo and Huybers, 2008, doi:10.1038/nature06589). Furthermore, an understanding of the behaviour of the marine-based West Antarctic ice sheet (WAIS) during the 'warmer-than-present' early-Pliocene epoch (~5-3 Myr ago) is needed to better constrain the possible range of ice-sheet behaviour in the context of future global warming (Solomon et al., 2007). Here we present a marine glacial record from the upper 600 m of the AND-1B sediment core recovered from beneath the northwest part of the Ross ice shelf by the ANDRILL programme and demonstrate well-dated, ~40-kyr cyclic variations in ice-sheet extent linked to cycles in insolation influenced by changes in the Earth's axial tilt (obliquity) during the Pliocene. Our data provide direct evidence for orbitally induced oscillations in the WAIS, which periodically collapsed, resulting in a switch from grounded ice, or ice shelves, to open waters in the Ross embayment when planetary temperatures were up to ~3° C warmer than today ( Kim and Crowley, 2000, doi:10.1029/1999PA000459) and atmospheric CO2 concentration was as high as ~400 p.p.m.v. (van der Burgh et al., 1993, doi:10.1126/science.260.5115.1788, Raymo et al., 1996, doi:10.1016/0377-8398(95)00048-8). The evidence is consistent with a new ice-sheet/ice-shelf model (Pollard and DeConto, 2009, doi:10.1038/nature07809) that simulates fluctuations in Antarctic ice volume of up to +7 m in equivalent sea level associated with the loss of the WAIS and up to +3 m in equivalent sea level from the East Antarctic ice sheet, in response to ocean-induced melting paced by obliquity. During interglacial times, diatomaceous sediments indicate high surface-water productivity, minimal summer sea ice and air temperatures above freezing, suggesting an additional influence of surface melt (Huybers, 2006, doi:10.1126/science.1125249) under conditions of elevated CO2.
    Keywords: Age, comment; Age, error; Age model; Age model, optional; Ageprofile Datum Description; AND1-1B; AND-1B; ANDRILL; Antarctic Geological Drilling; D-ANDRILL; Datum level; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; McMurdo Ice Shelf; McMurdo Station; Method comment; MIS; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; SPP1158
    Type: Dataset
    Format: text/tab-separated-values, 129 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 80
    facet.materialart.
    Unknown
    A new global GPS dataset for testing and improving modelled GIA uplift rates (2018)
    PANGAEA
    In:  Supplement to: Schumacher, Maike; King, Matt; Rougier, Jonathan C; Sha, Zhe; Khan, Shfaqat Abbas; Bamber, Jonathan L (2018): A new global GPS data set for testing and improving modelled GIA uplift rates. Geophysical Journal International, 214(3), 2164-2176, https://doi.org/10.1093/gji/ggy235
    Details
    Publication Date: 2024-04-29
    Description: We have produced a global dataset of ~4000 GPS vertical velocities that can be used as observational estimates of glacial isostatic adjustment (GIA) uplift rates. GIA is the response of the solid Earth to past ice loading, primarily, since the Last Glacial Maximum, about 20 K yrs BP. Modelling GIA is challenging because of large uncertainties in ice loading history and also the viscosity of the upper and lower mantle. GPS data contain the signature of GIA in their uplift rates but these also contain other sources of vertical land motion (VLM) such as tectonics, human and natural influences on water storage that can mask the underlying GIA signal. A novel fully-automatic strategy was developed to post-process the GPS time series and to correct for non-GIA artefacts. Before estimating vertical velocities and uncertainties, we detected outliers and jumps and corrected for atmospheric mass loading displacements. We corrected the resulting velocities for the elastic response of the solid Earth to global changes in ice sheets, glaciers, and ocean loading, as well as for changes in the Earth's rotational pole relative to the 20th century average. We then applied a spatial median filter to remove sites where local effects were dominant to leave approximately 4000 GPS sites. The resulting novel global GPS dataset shows a clean GIA signal at all post-processed stations and is suitable to investigate the behaviour of global GIA forward models. The results are transformed from a frame with its origin in the centre of mass of the total Earth's system (CM) into a frame with its origin in the centre of mass of the solid Earth (CE) before comparison with 13 global GIA forward model solutions, with best fits with Pur-6-VM5 and ICE-6G predictions. The largest discrepancies for all models were identified for Antarctica and Greenland, which may be due to either uncertain mantle rheology, ice loading history/magnitude and/or GPS errors.
    Keywords: LATITUDE; LONGITUDE; Station label; Velocity, vertical; Velocity, vertical, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 12216 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 81
    facet.materialart.
    Unknown
    Last Interglacial synthesis of high-latitude temperature: temperature anomalies and associated errors for 4 time slices (2015)
    PANGAEA
    In:  Supplement to: Capron, Emilie; Govin, Aline; Stone, Emma J; Masson-Delmotte, Valerie; Mulitza, Stefan; Otto-Bliesner, Bette L; Rasmussen, Tine Lander; Sime, Louise C; Waelbroeck, Claire; Wolff, Eric William (2014): Temporal and spatial structure of multi-millennial temperature changes at high latitudes during the Last Interglacial. Quaternary Science Reviews, 103, 116-133, https://doi.org/10.1016/j.quascirev.2014.08.018
    Details
    Publication Date: 2024-04-29
    Description: The Last Interglacial (LIG, 129-116 thousand of years BP, ka) represents a test bed for climate model feedbacks in warmer-than-present high latitude regions. However, mainly because aligning different palaeoclimatic archives and from different parts of the world is not trivial, a spatio-temporal picture of LIG temperature changes is difficult to obtain. Here, we have selected 47 polar ice core and sub-polar marine sediment records and developed a strategy to align them onto the recent AICC2012 ice core chronology. We provide the first compilation of high-latitude temperature changes across the LIG associated with a coherent temporal framework built between ice core and marine sediment records. Our new data synthesis highlights non-synchronous maximum temperature changes between the two hemispheres with the Southern Ocean and Antarctica records showing an early warming compared to North Atlantic records. We also observe warmer than present-day conditions that occur for a longer time period in southern high latitudes than in northern high latitudes. Finally, the amplitude of temperature changes at high northern latitudes is larger compared to high southern latitude temperature changes recorded at the onset and the demise of the LIG. We have also compiled four data-based time slices with temperature anomalies (compared to present-day conditions) at 115 ka, 120 ka, 125 ka and 130 ka and quantitatively estimated temperature uncertainties that include relative dating errors. This provides an improved benchmark for performing more robust model-data comparison. The surface temperature simulated by two General Circulation Models (CCSM3 and HadCM3) for 130 ka and 125 ka is compared to the corresponding time slice data synthesis. This comparison shows that the models predict warmer than present conditions earlier than documented in the North Atlantic, while neither model is able to produce the reconstructed early Southern Ocean and Antarctic warming. Our results highlight the importance of producing a sequence of time slices rather than one single time slice averaging the LIG climate conditions.
    Keywords: 104-644; 162-980; 177-1089; 177-1094; 20; 36C; 57-07; 71-19; 90-594; Age, comment; Agulhas Basin; Agulhas Ridge; Antarctica; ANT-IX/4; ANT-X/5; ANT-XI/2; APSARA2; APSARA4; Area/locality; ARK-II/5; Atlantic Ridge; BC; Box corer; CALYPSO; Calypso Corer; Center for Marine Environmental Sciences; CH69-K09; Charles Darwin; Chatham Rise; Climate Change: Learning from the past climate; Comment; COMPCORE; Composite Core; DF; Dome_Fuji; Dome C; Dome C, Antarctica; DRILL; Drilling/drill rig; EDC; EDML; EDRILL; Eirik Drift; Elevation of event; ENAM33; EPICA-Campaigns; EPICA Dome C; EPICA drill; EPICA Dronning Maud Land, DML28C01_00; Event label; EW9302; EW9302-JPC2; EW9302-JPC8; Faroe Islands margin; GC; Giant piston corer (Calypso); GIK23243-1 PS05/431; GIK23414-9; Glomar Challenger; GPC-C; Gravity corer; Gravity corer (Kiel type); Greenland; Greenland Rise; Håkon Mosby; HM57; HM57-07; HM71; HM71-19/1; Ice_core_diverse; ICEDRILL; Ice drill; Iceland; IMAGES I; IMAGES III - IPHIS; IMAGES V; IMAGES XI - P.I.C.A.S.S.O.; Joides Resolution; JPC; Jumbo Piston Core; K708-001; KAL; KAL15; Kasten corer; Kasten corer 15 cm; Kerguelen Plateau; KL; Kohnen Station; Labrador Sea; Latitude of event; Leg104; Leg162; Leg177; Leg90; Le Suroît; Longitude of event; M17/2; M23414; Marion Dufresne (1972); Marion Dufresne (1995); MARUM; Maurice Ewing; MD02-2488; MD032664; MD03-2664; MD101; MD106; MD114; MD125; MD 125 / SWIFT BIS-CARHOT; MD132; MD38; MD84-551; MD88-769; MD88-770; MD94-101; MD94-102; MD952009; MD95-2009; MD952010; MD95-2010; MD952014; MD95-2014; MD972120; MD97-2120; MD972121; MD97-2121; MD99-2227; Meteor (1986); MUC; MultiCorer; NA87-25; NEAP; NEAP-18K; NEEM; Newfoundland margin; North Atlantic; Northeast Atlantic; Norwegian Sea; PALEOCINAT; Past4Future; PC; Piston corer; Piston corer (BGR type); Polarstern; PS05; PS1243-1; PS18; PS18/238; PS18/260; PS2082-3; PS2102-2; PS22/769; PS22 06AQANTX_5; PS2276-4; PS2489-2; PS28; PS28/256; Reference of data; Sampling/drilling ice; SL; SO136; SO136_111GC-12; Sonne; South Atlantic Ocean; Southern Ocean; South Indian Ocean; South Pacific; South Pacific/CONT RISE; SU90-03; SU90-08; SU90-39; SU90-44; TASQWA; Temperature, air; Temperature, difference; Temperature, water; Temperature, water, interpolated; Temperature anomaly; Temperature anomaly, standard error; Type; Uncertainty; V30; V30-97; Vema; Voring Plateau; Vostok
    Type: Dataset
    Format: text/tab-separated-values, 974 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 82
    facet.materialart.
    Unknown
    Number Concentrations of Sea Spray Particles in the Ross Sea (February - March, 2018), R/V Tangaroa cruise TAN1802 (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Number-concentration size spectra of ambient aerosol were measured from a container laboratory (~2 m a.s.l.) on the R/V Tangaroa in February/March 2018. The voyage departed and returned to Wellington, New Zealand, spending the majority of the sampling period in the Ross Sea. Raw spectral measurements were made using a PCASP-100X spectrometer. The raw spectra were corrected according to size-dependent losses through the inlet line (Brockman, 2001). A modal analysis was then used to constrain the concentration of sea spray from these corrected spectra (Modini et al., 2015; Quinn et al., 2017). Relative wind speeds were measured using a Gill WindSonic anemometer. These were corrected according to acceleration factors over the ship's hull (Popinet et al., 2004) and then translated according to the ship's heading and velocity to derive the true wind speed and direction. Finally, the true velocities were adjusted from the measurement height (22.5 m) to the 10-m reference level according to the local stability and logarithmic wind profile (COARE3.5; Edson et al. 2013). Hourly averages were only included in the following data set, if: the ambient relative humidity was less than 98%; the accumulated precipitation was less than 1 mm; CO2 measured by a Picarro was less than 405 ppm; and, the influence of continental aerosol (excluding Antarctica) was negligible as determined by back-trajectory analysis.
    Keywords: 61TG20180205; 61TG20180205-track; aerosols; CT; DATE/TIME; LATITUDE; LONGITUDE; Ross Sea; sea spray; Sea spray particle concentration; Southern Ocean; TAN1802, TAN1802_CTD; Tangaroa; Underway cruise track measurements; winds; Wind speed at 10 m height
    Type: Dataset
    Format: text/tab-separated-values, 1046 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 83
    facet.materialart.
    Unknown
    ELRA-modelled uplift rates with spatially-uniform and spatially-varying ELRA parameters (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: We would like to assess how the ELRA models behaves in comparison to both Self-Gravitating Viscoelastic solid Earth Models (SGVEMs) outputs and to observations. First, we compare the present-day uplift rates predicted when a spatially-uniform ELRA model is forced with the ICE-6G (Argus et al., 2014) and W12 ice loading histories (Whitehouse et al., 2012a,2012b) with the uplift rates reproduced in Fig 6a from Argus et al. (2014) and Fig 10a from Whitehouse et al. (2012b), respectively, where SGVEMs with uniformly stratified solid Earth are used. Next, we compare the present-day uplift rates reproduced by a spatially-uniform ELRA model forced with two different ice loading histories (ICE-6G; Argus et al. (2014) and W12; Whitehouse et al. (2012a,2012b)) for each of the 2000 Monte Carlo ELRA configurations of our ensemble with GPS observations of present-day uplift rates from Whitehouse et al. (2012b).
    Keywords: Antarctica; ELRA model; File content; File format; File name; File size; glacial isostatic adjustment; pan-Antarctica; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 84
    facet.materialart.
    Unknown
    Diatom distribution in IODP Hole 318-U1357B (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: This data publication contains the relative abundances of the Fragilariopsis curta group (F. curta and F cylindrus) and the Thalassiosira antarctica group (resting spores and vegetative cells of T. antarctica cold variety) versus depth (in meters below sea-floor) and age (in years Common Era) in core IODP U1357B. Core IODP U1357B was retrieved in the Dumont d'Urville Trough off Adélie Land, East Antarctica, during the IODP expedition 318 "Wilkes Land Glacial History" conducted on board the R.V. Joides Resolution during the austral summer 2010. The relative abundances of the F. curta group and the T. antarctica group were produced to document changes in spring and autumn sea-ice conditions, respectively, off Adélie Land at decadal timescale over the last 2000 years.
    Keywords: 318-U1357B; Adélie Land; Age; AGE; Climate Change: Learning from the past climate; DEPTH, sediment/rock; diatoms; DRILL; Drilling/drill rig; Exp318; Fragilariopsis curta group; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; last 2000 years; Past4Future; Sea ice; Thalassiosira antarctica; Wilkes Land
    Type: Dataset
    Format: text/tab-separated-values, 648 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 85
    facet.materialart.
    Unknown
    Highly Branched Isoprenoids in IODP Hole 318-U1357B (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: This data publication contains the concentration (in µg/g) of the triene Z and the diene highly branched isoprenoids, along with their ratio, versus depth (in meters below sea-floor) and age (in years Common Era) in core IODP U1357B. Core IODP U1357B was retrieved in the Dumont d'Urville Trough off Adélie Land, East Antarctica, during the IODP expedition 318 "Wilkes Land Glacial History" conducted on board the R.V. Joides Resolution during the austral summer 2010. The diatom-specific biomarkers were produced to document changes in sea-ice conditions off Adélie Land at decadal timescale over the last 2000 years.
    Keywords: (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene per unit sediment mass; 2,10,14-Trimethyl-6-enyl-7-(3-methylpent-1-enyl)pentadecene per unit sediment mass; 318-U1357B; Adélie Land; Age; AGE; Climate Change: Learning from the past climate; DEPTH, sediment/rock; Diene/Triene highly branched isoprenois, ratio; DRILL; Drilling/drill rig; Exp318; HBI; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; last 2000 years; Past4Future; Sea ice; Wilkes Land
    Type: Dataset
    Format: text/tab-separated-values, 2944 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Compilation of deglacial Southern Ocean planktic foraminiferal d18O data (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: This dataset contains a compilation of planktic foraminiferal d18O from sediment cores spanning the last deglaciation in the Southern Ocean. The compilation includes 4610 data points from 64 individual records. The dataset includes the original reference for the data, the name of the sediment core, the latitude (°N), longitude (°E), and water depth (m) at which the sediment core was taken, the sediment depth at which the d18O analysis was conducted (cm), the age of the sediment at which the d18O analysis was conducted (ka, using the age model given in the original publication), the foraminiferal species on which the d18O analysis was conducted, the measured d18O value (VPDB). The sediment cores in the compilation span 20 – 70°S across the Southern Ocean. The individual d18O records cover the last 30 ka. The d18O data were measured on N. pachyderma (np), G. bulloides (gb), and G. ruber (gr).
    Keywords: 177-1089; 177-1094; 20; 202-1233; 35MF20120125, OISO_21, INDIEN SUD 2; 64PE-174P13; AGE; AGSO Cruise 147; Amundsen Sea, continental rise (unnamed Marie Byrd Seamount); ANTIPROD; ANT-IV/3; ANT-V/4; ANT-VIII/3; APSARA2; APSARA4; Argentine Basin; Atka Bay; AUSCAN; BC; Box corer; Brazil Basin; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; CASQ; CASQS; CDRILL; CHIPAL; COMPCORE; Composite Core; CONDOR-Ia; Core; CORE; Core drilling; DEPTH, sediment/rock; E11-2; Eastern Weddell Sea, Southern Ocean; East Pacific; ELEVATION; Event label; FR01/97; FR01/97-12; Franklin; GC; GeoB1028-5; GeoB2107-3; GeoB3302-1; GeoB3359-3; GeoB6201-5; GeoB6211-2; GeoB7165-1; GGC; Giant gravity corer; Giant piston corer; Giant piston corer (Calypso); GIK16160-3; GIK17747-2; GIK17748-2; GL1090; GL-1090; Globigerina bulloides, δ18O; Globigerinoides ruber, δ18O; GPC; GPC-C; Gravity corer; Gravity corer (Kiel type); Hikurangi margin; HOTLINE, HYGAPE; Identification; IMAGES II; IMAGES XV - Pachiderme; INMD; INMD-115BX; James Clark Ross; Joides Resolution; JR179; JR179-TC493; JR20080221; Kerguelen Plateau; KN159-5; Knorr; KNR159-5; KNR159-5-36GGC; LATITUDE; Leg177; Leg202; LONGITUDE; M23/2; M46/2; M6/6; M75/3; M75/3_137-3; Marion Dufresne (1972); Marion Dufresne (1995); MD00-2361; MD02-2488; MD02-2594; MD032611G; MD03-2611G; MD07-3076; MD07-3076Q; MD07-3082; MD07-3088; MD07-3100; MD07-3119; MD07-3128; MD104; MD105; MD12-3396Cq; MD12-3401; MD125; MD 125 / SWIFT BIS-CARHOT; MD128; MD131; MD159; MD189; MD38; MD80-304; MD84-527; MD84-551; MD88-769; MD88-770; MD94-103; MD96-2048; MD96-2080; MD962080, ABS; MD962094; MD96-2094; MD97-257; Melville; Meteor (1986); Meteor Rise; Neogloboquadrina pachyderma, δ18O; North West Cape, Western Australia; off Chile; Outer Walvis Ridge; P69; PC; PEGASE; Piston corer; Polarstern; PS08; PS08/374; PS10; PS10/816; PS1394-4; PS1506-1; PS16; PS16/311; PS1768-8; PUCK; RC11; RC1112; RC11-120; RC13; RC13-271; Reference/source; Rig Seismic; Robert Conrad; RR0503-125JPC; RR0503-79JPC; RR0503-87JPC; RS147; RS147-GC07; Sambesi Fan; Shona Ridge; SL; SO101; SO101/3_2-1; SO102/1; SO136; SO136_111GC-12; SO156/3; SO80_2; SO80_4; SO80a; Sonne; South Atlantic Ocean; South-East Pacific; Southern Agulhas Bank; Southern Ocean; South Indian Ocean; South Pacific; Southwest Pacific; Station 6, MD189-3396; Subantarctic Pacific Ocean; SWAF; TAN0803; TAN0803-09; TAN1106; TAN1106/34; TAN1106/43; Tangaroa; Tasman Sea; TASQWA; TC; TC493 CORE_NO 493; TN057-10; TN057-13-PC4; TN057-6; Trigger corer; Uniform resource locator/link to source data file; Walvis Ridge; Walvis Ridge, Southeast Atlantic Ocean; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 17388 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 87
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K08A (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 96930 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Forest plantation mapping in the Southern Highlands, Tanzania 2016: tentative training data set (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Tentative forest plantation mapping training data set collected by the author team, September 2016, using Google Earth / Collect Earth software
    Keywords: Coordinate reference system; Identification; LATITUDE; LONGITUDE; MULT; Multiple investigations; Site; Tanzania_Southern_Highlands; Tanzania, United Republic of
    Type: Dataset
    Format: text/tab-separated-values, 1176 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Forest plantation mapping in the Southern Highlands, Tanzania 2016: reference point data set (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Reference point data set of Southern Highlands land use / land cover, collected in a participatory mapping event, Mapathon, in Tanzania, October 2016, using Google Earth / Collect Earth software, later used in the final forest plantation classification
    Keywords: Coordinate reference system; Forest, age class; Forest, canopy cover, maximum; Forest, canopy cover, minimum; Forest, density class; Identification; Land use; LATITUDE; LONGITUDE; MULT; Multiple investigations; Tanzania_Southern_Highlands; Tanzania, United Republic of; Year of imagery
    Type: Dataset
    Format: text/tab-separated-values, 41008 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 90
    facet.materialart.
    Unknown
    Forest plantation mapping in the Southern Highlands, Tanzania 2016: validation dataset field (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Validation data set collected by the author team in the field, November 2016
    Keywords: Coordinate reference system; Forest, age class; Identification; Land use; LATITUDE; LONGITUDE; MULT; Multiple investigations; Tanzania_Southern_Highlands; Tanzania, United Republic of; Year of imagery
    Type: Dataset
    Format: text/tab-separated-values, 2373 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 91
    facet.materialart.
    Unknown
    Low field magnetic susceptibility in Holocene sediment core MD03-2678Cq from the Gardar drift (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Low field magnetic susceptibility normalized by the volume and measured on u-channels with a Bartington MS2C 45-mm diameter susceptibility bridge at 2 cm intervals with a resolution of about 4-5 cm.
    Keywords: AGE; Calypso Square Core System; CASQS; Climate Change: Learning from the past climate; Gardar Drift; Holocene; IMAGES XI - P.I.C.A.S.S.O.; Magnetic susceptibility, low-field; magnetism; Marion Dufresne (1995); MD032678C2; MD03-2678C2; MD132; Past4Future
    Type: Dataset
    Format: text/tab-separated-values, 113 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 92
    facet.materialart.
    Unknown
    Low field magnetic susceptibility in Holocene sediment core CH77-02 from the Gardar drift (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: Low field magnetic susceptibility normalized by the volume and measured on u-channels with a Bartington MS2C 45-mm diameter susceptibility bridge at 2 cm intervals with a resolution of about 4-5 cm.
    Keywords: AGE; CDRILL; CH77-02; CH77-02-SC; Climate Change: Learning from the past climate; Core drilling; FAEGAS_II; Holocene; Jean Charcot; Magnetic susceptibility, low-field; magnetism; Past4Future
    Type: Dataset
    Format: text/tab-separated-values, 215 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    The mean sortable silt size in Holocene sediment core MD08-3182Cq from the Gardar drift (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: For measurements of the mean sortable silt size of the detrital faction, biogenic carbonates were dissolved using acetic acid (20 %) and the organic matter was removed using hydrogen peroxide (33%) at 85°C. The samples were sieved through a 63 μm mesh and mixed in Sodium hexametaphosphate solution (0,2 %) in an ultrasonic bath for 2 minutes before analysis. The measurement was made using a Beckman Coulter Counter Multisizer 3 with a 100µm aperture tube valid for the 2-63µm. Two runs were performed with a total of 500,000 to 600,000 particles passing through the aperture. The number of particles counted in the 10-63µm range exceeds 10,000 and the reproducibility between these replicates is of the order of 1.5 to 2%.
    Keywords: AGE; AMOCINT, IMAGES XVII; Calypso square corer; CASQ; Climate Change: Learning from the past climate; Grain size, mean; Holocene; intensity bottom currents; Marion Dufresne (1995); MD08-3182Cq; MD168; Past4Future; sortable silt
    Type: Dataset
    Format: text/tab-separated-values, 139 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Highly branched isoprenoid concentrations of sediment core DTCI2010 (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Age; AGE; ALBION_2010; Climate Change: Learning from the past climate; DEPTH, sediment/rock; DTCI2010; Dumont d´Urville Trough; Gas chromatography - Mass spectrometry (GC-MS); Highly branched isoprenoids, diunsatured; Highly branched isoprenoids, triunsatured; interpolated; L Astrolabe; Past4Future; TC; Trigger corer
    Type: Dataset
    Format: text/tab-separated-values, 429 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 95
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K01A (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3646 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    (Figure 3) Age model and sedimentation rates for marine sediment core GeoB6212-1 (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: AGE; Age, maximum/old; Age, minimum/young; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB; GeoB6212-1; Geosciences, University of Bremen; Gravity corer (Kiel type); M46/2; MARUM; Meteor (1986); Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 4562 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Kinematic GNSS profiles in central East Antarctica, K13B (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Central_East_Antarctica; DATE/TIME; East Antarctica; ELEVATION; GNSS; GNSS Receiver; LATITUDE; LONGITUDE; Modified Julian Date; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 116258 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Thermoluminescence of marine sediment core GL-1248 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: DEPTH, sediment/rock; GL1248; GL-1248; Luminescence sensitivity; northeastern Brazil; precipitation reconstruction; quartz grains; South America; Thermoluminescence
    Type: Dataset
    Format: text/tab-separated-values, 153 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Metadata of planktonic Foraminifera from the North Atlantic (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: AII-42-15-14; AII-60-10; Catalog Number; CH82-21; Code; Comment; Coordinate reference system; DEPTH, sediment/rock; Elevation of event; Event label; EW9303-04; IPE.08178; IPE.08199; IPE.08212; IPE.08231; IPE.08316; IPE.08379; KC78; Latitude of event; Longitude of event; North Atlantic; Radius; Sample code/label; Size fraction; South Atlantic; Species; Stratigraphy; VM20-248
    Type: Dataset
    Format: text/tab-separated-values, 12341 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    (Table 1) Accelerator mass spectrometer radiocarbon dates and calibrated ages of sediment core GeoB6212-1 (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Keywords: Age, 14C AMS; Age, 14C calibrated, IntCal13 with Bacon 2.2 (Blaauw and Christen, 2011); Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB; GeoB6212-1; Geosciences, University of Bremen; Gravity corer (Kiel type); Laboratory code/label; M46/2; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...