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  • 1
    Publication Date: 2024-04-17
    Description: Pelagic observations were collected via horizontal video transects using the pelagic in situ observation system PELAGIOS from 50-1000 m during MSM49. The collected video was annotated using the video and annotation reference system (VARS) developed by the Monterey Bay Aquarium Research Institute. In total more than 40 hours of video were collected and annotated, and 43 taxonomic groups were annotated, mostly consisting of gelatinous zooplankton. The data consists of counts of taxonomic groups (〉1 cm) linked to location and depth in the Cape Verde region. These counts are converted to abundance data (ind./m3).
    Keywords: Actinopterygii; Aeginidae; Appendicularia; Atolla sp.; Bargmannia sp.; Bathochordaeus sp.; Bathocyroe sp.; Beroe spp.; Calycophorae; Cape Verde; Cephalopoda; Cestidae; Chaetognatha; Colobonema sp.; Coronatae; Crossota sp.; Ctenophora indeterminata; Cydippida; Date/time end; Date/time start; Decapoda; Deep sea; DEPTH, water; Diphyidae; Doliolida; Duration; Euphausiacea; Event label; Gastropoda; gelatinous zooplankton; Halicreas sp.; Haliscera conica; Halitrephes sp.; Hydromedusae; iAtlantic; in situ observations; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; LATITUDE; Lilyopsis sp.; Lobata; LONGITUDE; Maria S. Merian; Mesochordaeus sp.; micronekton; MSM49; MSM49_583-11; MSM49_583-9; MSM49_584-3; MSM49_585-4; MSM49_585-8; MSM49_586-4b; MSM49_586-7; MSM49_595-4; MSM49_595-7; MSM49_603-14; MSM49_603-4; MSM49_604-12; MSM49_604-9; Munnopsis sp.; oxygen minimum zone; Pelagic In situ Observation System PELAGIOS; PELAGIOS; Phaeodaria; Physonectae; Poeobius sp.; Polychaeta; Praya dubia; Prayidae; Pyrosomatidae; Radiozoa; Resomia sp.; Salpida; Siphonophorae indeterminata; Solmissus sp.; Solmundella sp.; South Atlantic Ocean; Station label; Thalassocalyce inconstans; Time in seconds; Time of day
    Type: Dataset
    Format: text/tab-separated-values, 14700 data points
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  • 2
    Publication Date: 2024-04-17
    Description: This dataset includes a high temporal resolution stable carbon isotopic (δ13C) record of the deep-dwelling planktonic foraminifera Globorotalia truncatulinoides from sediment core GL-1180. This core is located in the western tropical Atlantic and the record spans the last 300 kyr.
    Keywords: AGE; Benthic foraminifera; Core; CORE; DEPTH, sediment/rock; GL1180; GL-1180; Globorotalia truncatulinoides, δ13C; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; IRMS; Isotope ratio mass spectrometer; Planktonic foraminifera; Stable carbon isotope (δ13C); western South Atlantic; western tropical Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
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  • 3
    Publication Date: 2024-04-17
    Description: This dataset includes a high temporal resolution stable carbon isotopic (δ13C) record of the benthic foraminifera Cibicides spp. from sediment core GL-1180. This core is located in the western tropical Atlantic and the record spans the last 300 kyr.
    Keywords: AGE; Benthic foraminifera; Cibicides spp., δ13C; Core; CORE; DEPTH, sediment/rock; GL1180; GL-1180; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; IRMS; Isotope ratio mass spectrometer; Planktonic foraminifera; Stable carbon isotope (δ13C); western South Atlantic; western tropical Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 371 data points
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  • 4
    Publication Date: 2024-04-17
    Keywords: AGE; alkanes; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GDGTs; Holocene; isotope data; Isotope ratio mass spectrometer (IRMS); Lake sediment; n-Alkane C21, δD; n-Alkane C21, δD, standard deviation; n-Alkane C23, δD; n-Alkane C23, δD, standard deviation; n-Alkane C25, δD; n-Alkane C25, δD, standard deviation; n-Alkane C26, δD; n-Alkane C26, δD, standard deviation; n-Alkane C27, δD; n-Alkane C27, δD, standard deviation; n-Alkane C28, δD; n-Alkane C28, δD, standard deviation; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C30, δD; n-Alkane C30, δD, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; n-Alkane C33, δD; n-Alkane C33, δD, standard deviation; PCUWI; Piston corer, UWITEC; The Netherlands; UDD-E; Uddelermeer, Netherlands
    Type: Dataset
    Format: text/tab-separated-values, 838 data points
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  • 5
    Publication Date: 2024-04-17
    Keywords: Ablabesmyia; Acricotopus; AGE; Chironomidae; Chironomini; Chironomus anthracinus-type; Chironomus plumosus-type; Chironomus undifferentiated; Cladopelma lateralis-type; Cladotanytarsus mancus; Cladotanytarsus mancus-type; Corynoneura edwardsi-type; Corynoneura undifferentiated; Counting; Cricotopus cylindraceus-type; Cricotopus intersectus-type; Cricotopus laricomalis-type; Cricotopus obnixus-type; Cricotopus trifasciatus-type; Cricotopus-type P; Cryptochironomus; Demicryptochironomus; DEPTH, sediment/rock; Dicrotendipes nervosus-type; Dicrotendipes notatus-type; Endochironomus albipennis-type; Endochironomus impar-type; Endochironomus tendens-type; Georthocladius; Glyptotendipes barbipes-type; Glyptotendipes pallens-type; Heterotanytarsus; Holocene; Lake sediment; Late-Glacial; Lauterborniella; Limnophyes; Microtendipes pedellus-type; Nanocladius branchicolus-type; Netherlands; Orthocladiinae undifferentiated; Pagastiella; Parachironomus varus-type; Parachironomus vitiosus-type; Parakiefferiella bathophila-type; Paratanytarsus penicillatus-type; Paratanytarsus undifferentiated; PCUWI; Piston corer, UWITEC; pollen; Polypedilum nubeculosum-type; Polypedilum nubifer-type; Polypedilum sordens-type; Procladius; Psectrocladius barbatipes-type; Psectrocladius psilopterus-type; Psectrocladius sordidellus-type; Pseudochironomus; Pseudosmittia; Sedimentology; Sergentia coracina-type; Smittia/Parasmittia; Stempellina/Zavrelia; Stenochironomus; Stictochironomus; Tanytarsini undifferentiated; Tanytarsus mendax-type; Tanytarsus nemorosus-type; Tanytarsus pallidicornis-type; Tanytarsus undifferentiated; UDD-E; Uddelermeer, Netherlands; Zavreliella
    Type: Dataset
    Format: text/tab-separated-values, 1920 data points
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  • 6
    Publication Date: 2024-04-17
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P5_240_MullerIceCap_2023; P5_240_MullerIceCap_2023_202305090201; POLAR 5; The Mueller Ice Cap; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 651 data points
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  • 7
    Publication Date: 2024-04-17
    Keywords: CIELAB system; Color, a*; Color, b*; Color, L*, lightness; Color, X; Color, Y; Color, Z; Color reflectance at 360 nm; Color reflectance at 370 nm; Color reflectance at 380 nm; Color reflectance at 390 nm; Color reflectance at 400 nm; Color reflectance at 410 nm; Color reflectance at 420 nm; Color reflectance at 430 nm; Color reflectance at 440 nm; Color reflectance at 450 nm; Color reflectance at 460 nm; Color reflectance at 470 nm; Color reflectance at 480 nm; Color reflectance at 490 nm; Color reflectance at 500 nm; Color reflectance at 510 nm; Color reflectance at 520 nm; Color reflectance at 530 nm; Color reflectance at 540 nm; Color reflectance at 550 nm; Color reflectance at 560 nm; Color reflectance at 570 nm; Color reflectance at 580 nm; Color reflectance at 590 nm; Color reflectance at 600 nm; Color reflectance at 610 nm; Color reflectance at 620 nm; Color reflectance at 630 nm; Color reflectance at 640 nm; Color reflectance at 650 nm; Color reflectance at 660 nm; Color reflectance at 670 nm; Color reflectance at 680 nm; Color reflectance at 690 nm; Color reflectance at 700 nm; Color reflectance at 710 nm; Color reflectance at 720 nm; Color reflectance at 730 nm; Color reflectance at 740 nm; DEPTH, sediment/rock; Diatom; germanium; Greyscale value; Holocene; KULC; KULLENBERG corer; lake; Magnetic susceptibility; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Munsell Color System (1994); Section; Section position; sediment; Silicon isotopes; Yellowstone; Yellowstone Lake; YL16-2C
    Type: Dataset
    Format: text/tab-separated-values, 115841 data points
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  • 8
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    PANGAEA
    In:  Supplement to: Loher, Markus; Ceramicola, Silvia; Wintersteller, Paul; Meinecke, Gerrit; Sahling, Heiko; Bohrmann, Gerhard (2018): Mud volcanism in a canyon: Morphodynamic evolution of the active Venere mud volcano and its interplay with Squillace Canyon, Central Mediterranean. Geochemistry, Geophysics, Geosystems, 19(2), 356-378, https://doi.org/10.1002/2017GC007166
    Publication Date: 2024-04-17
    Description: Submarine mud volcanoes develop through the extrusion of methane-rich fluids and sediments onto the seafloor. The morphology of a mud volcano can record its extrusive history and processes of erosion and deformation affecting it. The study of offshore mud-volcano dynamics is limited because only few have been mapped at resolutions that reveal their detailed surface structures. More importantly, rates and volumes of extruded sediment and methane are poorly constrained. The 100 m high twin cones of Venere mud volcano are situated at ~1600 m water depth within Squillace Canyon along the Ionian Calabrian margin, Mediterranean Sea. Seafloor bathymetry, and backscatter data obtained by a ship-based system and an autonomous underwater vehicle (AUV) allow mapping of mudflow deposits of the mud volcano and bedforms in the surrounding canyon. Repeated surveying by AUV document active mud movement at the western summit in between 2014 and 2016. Through sediment coring and tephrochronology, ages of buried mudflow deposits are determined based on the sedimentation rate and the thickness of overlying hemipelagic sediments. An average extrusion rate of 27000 m^3/year over the last ~882 years is estimated. These results support a three-stage evolutionary model of Venere mud volcano since ~4000 years ago. It includes the onset of quiescence at the eastern cone (after ~2200 years ago), erosive events in Squillace Canyon (prior to ~882 years ago), and mudflows from the eastern cone (since ~882 years). This study reveals new interactions between a mud volcano and a canyon in the deep sea.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
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    Unknown
    PANGAEA
    In:  Supplement to: Marcon, Yann; Sahling, Heiko; MacDonald, Ian R; Wintersteller, Paul; dos Santos Ferreira, Christian; Bohrmann, Gerhard (2018): Slow volcanoes: The intriguing similarities between marine asphalt and basalt lavas. Oceanography, 31(2), https://doi.org/10.5670/oceanog.2018.202
    Publication Date: 2024-04-17
    Description: In 2003, the Chapopote asphalt flow was discovered in the southern Gulf of Mexico at a depth of 2,900 m. Subsequent exploration has expanded the known extent of asphalt volcanism across abyssal depths in much of this region. Aspects of asphalt flow morphology are analogous to ropy pāhoehoe flows known from eruptions of basaltic lava on land, but the timing and formation sequence of asphalt flows has been difficult to infer because limited visibility in the deep ocean makes it challenging to image large areas of the seafloor. Combining data from autonomous underwater vehicle mapping and remotely operated vehicle navigation with powerful optical mosaicking techniques, we assembled georeferenced images of the Chapopote asphalt flows. The largest image captured an area of 3,300 m² with over 15 billion pixels and resolved objects at centimeter scale. Augmenting this optical resolution with microbathymetry led to the recognition that very large asphalt pavements exhibiting highly varied morphologies and weathering states comprised a series of at least three separate flow units, one on top of another. The Chapopote asphalt volcano likely erupts during phases of intensified activity separated by periods of reduced activity. After extrusion, chemical and physical changes in the asphalt generate increasing viscosity gradients both along the flow path and between the flow's surface and core. This allows the asphalt to form pāhoehoe lava-like shapes and to support dense chemosynthetic communities over timescales of hundreds of years.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
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    Unknown
    PANGAEA
    In:  Supplement to: Mau, Susan; Römer, Miriam; Torres, Marta E; Bussmann, Ingeborg; Pape, Thomas; Damm, Ellen; Geprägs, Patrizia; Wintersteller, Paul; Hsu, Chieh-Wei; Loher, Markus; Bohrmann, Gerhard (2017): Widespread methane seepage along the continental margin off Svalbard - from Bjørnøya to Kongsfjorden. Scientific Reports, 7, 42997, https://doi.org/10.1038/srep42997
    Publication Date: 2024-04-17
    Description: Numerous articles have recently reported on gas seepage offshore Svalbard, because the gas emission from these Arctic sediments was thought to result from gas hydrate dissociation, possibly triggered by anthropogenic ocean warming. We report on findings of a much broader seepage area, extending from 74° to 79°, where more than a thousand gas discharge sites were imaged as acoustic flares. The gas discharge occurs in water depths at and shallower than the upper edge of the gas hydrate stability zone and generates a dissolved methane plume that is hundreds of kilometer in length. Data collected in the summer of 2015 revealed that 0.02?7.7% of the dissolved methane was aerobically oxidized by microbes and a minor fraction (0.07%) was transferred to the atmosphere during periods of low wind speeds. Most flares were detected in the vicinity of the Hornsund Fracture Zone, leading us to postulate that the gas ascends along this fracture zone. The methane discharges on bathymetric highs characterized by sonic hard grounds, whereas glaciomarine and Holocene sediments in the troughs apparently limit seepage. The large scale seepage reported here is not caused by anthropogenic warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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