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  • 2000-2004  (337,703)
  • 2000  (337,703)
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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2024-05-08
    Keywords: Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Element analyser CHN, LECO; Elevation of event; Elevation of event 2; Event label; GRAB50; Grain size, sieving; Grain size, sieving/settling tube; Latitude of event; Longitude of event; MMBI95; MMBI95_17; MMBI95_18; MMBI95_19; MMBI95_20; MMBI95_21; MMBI95_22; MMBI95_23; Ocean-50 grab; Quaternary Environment of the Eurasian North; QUEEN; Sand; Ship of opportunity; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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  • 2
    Publication Date: 2024-05-08
    Keywords: Akademik Boris Petrov; Allogromiina sp.; Ammotium cassis; BP97; BP97-01; BP97-10; BP97-12; BP97-17; BP97-47; BP97-48; BP97-49; BP97-50; BP97-52; Buccella frigida; Buccella hannai arctica; Cassidulina reniforme; Counting 〉125 µm fraction; Cribroelphidium asklundi; Cribrostomoides jeffreysii; Crithionina sp.; Cuneata arctica; DEPTH, sediment/rock; DIVERSE; Eggerella advena; Elphidiella tumida; Elphidium bartletti; Elphidium excavatum forma clavata; Event label; Foraminifera, benthic; Foraminifera, benthic calcareous marine; Foraminifera, benthic living; Foraminifera, benthic specimens; Glabratella wrightii; Guttulina sp.; Hippocrepinella sp.; Kara Sea; KaraSea97; Lagena gracillima; Latitude of event; Longitude of event; MULT; Multiple investigations; Number of species; Protelphidium orbiculare; Pyrgo williamsoni; Quaternary Environment of the Eurasian North; QUEEN; Quinqueloculina sp.; Reophax curtus; Reophax dentaliniformis; Reophax scotti; Sampling gear, diverse; Siberian River Run-Off; SIRRO; Spiroplectammina biformis; Textularia torquata
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
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  • 3
    Publication Date: 2024-05-08
    Keywords: Allogromiina sp.; Astrammina sp.; Astrorhizoides polygona; Cornuspira foliacea; Counting 〉500 µm fraction; Cribrostomoides subglobosum; DEPTH, sediment/rock; Elphidium bartletti; Event label; Foraminifera, benthic, standing stock; Foraminifera, benthic dead; Foraminifera, benthic indeterminata; Foraminifera, benthic living; GRAB50; Hyperammina elongata; Labrospira crassimargo; Latitude of event; Longitude of event; Miliolinella subrotunda; MMBI95; MMBI95_17; MMBI95_18; MMBI95_19; MMBI95_20; MMBI95_21; MMBI95_22; MMBI95_23; Nodosaria flintii; Ocean-50 grab; Planispirinoides bucculentus; Pyrgo williamsoni; Quaternary Environment of the Eurasian North; QUEEN; Quinqueloculina seminulum; Reophax atlantica; Reophax nodulosus; Reophax pilulifer; Reophax scorpiurus; Rhabdammina abyssorum; Saccorhiza ramosa; Ship of opportunity
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
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  • 4
    facet.materialart.
    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-08
    Description: Die "höheren" Caenogastropoden umfassen viele tausend rezente und fossile Arten. Ihre charakteristischen Gehäuse haben gewöhnlich einen hohen Wiedererkennungswert, sind häufige Elemente fossiler Ablagerungen und eröffnen damit ausgezeichnete Möglichkeiten neontologische und paläontogische Studien zu korrelieren. Das Ziel solcher Studien ist hier, Evolution nachzuzeichnen, um sie dann auch interpretieren und letztlich verstehen zu können. Es wurde ein tendenziell holistischer Arbeitsansatz gewählt, der die Synthese gehäusemorphologischer, anatomischer, molekulargenetischer, reproduktionsbiologischer, ökologischer und biogeographischer Daten in die zeitliche Dimension übersetzt und damit in den Kontext der Geodynamik stellt. Diese Vorgehensweise wird als paläobiologische Konzeption bezeichnet. Im Ergebnis stehen folgende Erkenntnisse und darauf basierende Maßnahmen: die "höheren" Caenogastropoda sind sehr wahrscheinlich monophyletisch und werden als Überordnung Latrogastropoda nov klassifiziert. Die Ordnung Neomesogastropoda ist paraphyletisch und Teile von ihnen repräsentieren die Stammgruppe der Ordnung Neogastropoda. Es zeigt sich, daß viele der neontologisch klar zu definierenden evolutiven Linien, ohne weitere paläontologische Studien, im systematischen Vakuum wurzeln. Die stammesgeschichtlichen Lücken können nun anhand von Merkmalsabgrenzung - nach "unten" und nach "oben" - definiert bzw abstrahiert werden und als Phantombilder für zukünftige Recherchen dienen. Auf Grundlage der phylogenetischen Analysen wurde eine weitreichende Revison der Klassifikation erforderlich und durchgeführt. Der Ursprung der Latrogastropoda nov könnte in einer Lime liegen, welche auch zu der Stammgruppe der Rissoidae führt. Letztere und die potentielle Latrogastropode Maturifusus traten erstmals im Jura in Erscheinung. Erste signifikante Radiationen der Latrogastropoda nov. gingen mit der postneokomen weltweiten Erwärmung und der entsprechenden Tropisierung der Tethys einher Mit Beginn der Oberkreide differenzierten sich die Latrogastropoda infolge einer Reihe von Schlüsselinnovationen in ihre Hauptlinien. Die Wende vom Meso- zum Känozoikum spiegelt sich in der systematischen Entwurzelung der im Rezenten persistierenden Taxa wider; d.h. viele (noch genauer zu definierende) Stammlinien sind in der Erdneuzeit nicht mehr vertreten. Die weitere Evolution der Latrogastropoda nov ist durch extreme Radiationen im Eozän und im Miozän geprägt. Die neogenen supragenerischen systematischen Einheiten zeigen bereits eine hohe Übereinstimmung mit rezenten Pendants. Der relativ starke Wandel paläobiogeographischer Bezüge im Neogen korreliert also nicht mit evolutiven Innovationen von übergeordneter Bedeutung.
    Description: The "higher" caenogastropods are represented by many thousand Recent and fossil species. Their characteristical shells can usually be well recognized and are frequently found particularly in marine Cenozoic deposits, thus offering excellent possibilities in respect of correlating neontological and palaeontological studies. Aim of such studies is here to trace evolution in order to obtain a basis for interpretation and actual insights respectively A more or less "holistic" approach was chosen, which translates the synthesis of conchological, anatomical, molecular genetical, reproductive biological, ecological and biogeographical data into the past and thus regarding evolution in the context of geodynamics. This approach is labelled palaeobiological conception. The different avenues of research led to the following results: the "higher" caenogastropods are very probably monophyletic and are classified as superorder Latrogastropoda nov The order Neomesogastropoda is paraphyletic because it includes the stem lineage of the Neogastropoda. It becomes apparent that many of the evolutionary lineages, which can be well defined by neontological means, are not yet correspondingly recognized in the fossil record and therefore are rooted in a systematic vacuum. The phylogenetic gaps can be defined or considered respectively by analyzing the direction of the evolution of morphological characters, which e.g. allows the creation of hypothetical fossils, which can be searched for Based upon the phylogenetic analyses, the necessity of a far-reaching revision of the classification became evident and consequently was conducted. The origin of the Latrogastropoda nov could be found in a lineage, which also leads to the stem-lineage of the Rissoidae. The latter and the potential latrogastropod Maturifusus both appeared in the Jurassic for the first time. First significant radiations of the Latrogastropoda nov correlated with the postneokomian global wanning and corresponding tropical climate of the Tethys ocean. During the early Upper Cretaceous the Latrogastropoda nov experienced key innovations which promoted the differentiation into their main lineages. The turn to the Cenozoic was accompanied by the systematic uprootal of taxa which persist in the modem fauna, which means that many stem-lineages (to be defined in detail) have not been detected in the Cenozoic. The Cenozoic evolution of latrogastropods is characterized by extreme Eocene and Miocene radiations. Neogene suprageneric systematic units show already great morphological correspondence with their Recent counterparts. Therefore the relatively strong change of palaeobiogeographic relations in the Neogene is not mirrored by principal evolutionary innovations.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:560 ; Paläobiologie ; Paläontologie ; Gastropoda
    Language: German
    Type: doc-type:book
    Format: 286
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  • 5
    facet.materialart.
    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-08
    Description: Es wurden ca. 1500 jurassische Ammoniten mit regenerierten Verletzungen untersucht. Die Ammoniten stammen aus drei stratigraphischen Abschnitten: dem Unter-Toarcium (Süddeutschland, Südfrankreich, England) dem Ober-Callovium (Normandie / Frankreich) und dem Ober-Oxfordium (Madagaskar). Die ausgewählten Gattungen repräsentieren ein breites morphologisches Spektrum. Die Phänomene, die in Folge von Verletzungen an den Ammonitengehäusen sichtbar werden, wurden seit langer Zeit erkannt, benannt und klassifiziert. Das erfolgreichste Modell einer Klassifikation pathologischer Phänomene an Ammonitengehäusen geht auf HÖLDER (1956) zurück. Problematisch am Hölderschen Klassifikationsmodell ist das Fehlen klarer Rahmenbedingungen für das Aufstellen einer neuen forma aegra. Aus diesem Grund kam es in der Vergangenheit zu vielen, sich überschneidenden, verwirrenden und unnützen forma-Bezeichnungen. Im Rahmen der vorliegenden Arbeit wird ein stringentes Klassifikationsprinzip vorgeschlagen und eine nachvollziehbare Einordnung in dieses Prinzip gefordert. Unter dieser Prämisse werden ausgewählte forma-Bezeichnungen diskutiert. Es wird vorgeschlagen, auf die forma-Bezeichnungen: forma seccata (HÖLDER 1956), forma refecta (REIN 1994a), forma undaticarinata-undaticoncha (HENGSBACH 1996) und forma mordata (HENGSBACH 1996) zu verzichten. Als neue forma-Bezeichnungen werden eingeführt: forma augata n.f., forma umbilicata n.f. Als potentielle Verursacher regenerierbarer Schalenverletzungen konnten erkannt werden: durophage Fische (vor Allem: Lepidotes, Dapedium, Mesturas), dekapode Krebse (vor Allem: Eryma, Mecochirus) und Coleoideen. Für Verletzungen des Mantelrandepithelium (forma verticata) werden im Wesentlichen eryonide Krebse (z.B. Coleia, Proeryon, Eryon) verantwortlich gemacht. Diese Räuber lassen sich nur in Einzelfällen anhand ihrer Verletzungsspuren identifizieren. Die Ausbildung und Form der Verletzung wird im Wesentlichen von der Gehäusemorphologie bestimmt. Es lassen sich drei morphologische Variablen erkennen, die sensitiv für den Schutz vor Räubern waren: die Gehäuseform, die Wohnkammerlänge und die Skulpturierung der Schale. Dactylioceraten und Perisphinctiden, also Ammoniten mit geringer Windungsexpansionsrate, rundem Mündungsquerschnitt, langer Wohnkammer und kräftiger Skulptur waren am besten gegen räuberische Attacken geschützt. Harpoceraten und Hecticoceraten, also brevi-, mesodome, schlanke Ammoniten mit weniger kräftiger Skulptur waren schlecht gegen räuberische Attacken geschützt. Longidome Ammoniten (Dactylioceraten, Perisphinctiden) waren im Gegensatz zu den brevi-, mesodomen Ammoniten in der Lage, sich weit in die Wohnkammer zurückzuziehen. Sie konnten verletzte Schalenbereiche ausbessern, ohne dabei die Skulpturelemente wesentlich verzerren zu müssen. Longidome Ammoniten konnten aufgrund ihrer Gehäusemorphologie keine guten Schwimmer gewesen sein. Diese Ammoniten tolerierten laterale Abweichungen in der Windungssymmetrie als Verletzungsfolge und Abweichungen im Windungsquerschnitt, also Verletzungsfolgen die die Fortbewegung einschränken mußten, sehr viel besser als Morphotypen mit besseren hydrodynamischen Eigenschaften. Ammoniten konnten Schalenverlust sehr viel besser tolerieren als der rezente Nautilus. Am untersuchten Material fanden sich Ammoniten die einen Schalenverlust von 10-20 % regenerieren konnten. Beim rezenten Nautilus ist ein Schalenverlust von mehr als 4 % letal (WARD 1986). Unter der Annahme, die Ammoniten lebten, ähnlich wie Nautilus, im annähernden Schwebegleichgewicht, verweist dies auf einen sehr viel effizienteren Gleichgewichtsapparat bei den Ammoniten. Anhand des vorliegenden Materials können die als funktionell eingeschätzte Merkmale als Aptationen wahrscheinlich gemacht werden. Die relative Häufigkeit von Mehrfachverletzungen erweist sich dabei als guter Proxy für die Verletzbarkeit der Ammoniten. Die relative Häufigkeit regenerierter Verletzungen korreliert nicht mit der Verletzbarkeit der Ammoniten. Sie scheint in erster Linie die Wahrscheinlichkeit widerzuspiegeln, mit der räuberische Attacken auf den Mundrand stattgefunden haben. Gesteuert wird dieser Faktor ganz offensichtlich von der Lebensweise der Ammoniten, der sich wiederum in der Gehäusemorphologie widerspiegelt.
    Description: The investigation is based on 1500 ammonoids with sublethal injuries. The observed ammonoids are Lower Toarcian (from Southern Germany / Southern France / England), Upper Callovian (from Normandy / France) and Upper Oxfordian (Madagascar). The selected ammonoid fauna represents a wide spectre of morphotypes. The healing pattern following the injuries of ammonoids have been subject to observation for a long time. The most successful model of a classification of these phenomena dates back to HÖLDER (1956). But the model of Hölder lacks a clearly defined framework for setting up a new forma aegra. For that reason many overlapping, confuse and useless forma types have been introduced. These investigation suggests a stringent principle of classification and calls for a comprehensive classification according to these principle. Following these premise, the current inventory of forma types is discussed. It is proposed to give up the terms forma seccata (HÖLDER 1956), forma refecta (REIN 1994a), forma undaticarinata-undaticoncha (HENGSBACH 1996) and forma mordata (HENGSBACH 1996). The forma-types forma augata n.f. and forma umbilicata n.f. are newly defined. Durophagous fishes (mainly Lepidotes, Dapedium and Mesturus), crustaceans (mainly Eryma and Mecochirus) and coleoids are found to be responsible for the sublethal shell breakages. Eryonid crustaceans (Coleia, Proeryon, Eryori) are most probably responsible of the healed damages of the mantle epithelia of the peristome (forma verticata, Hölder 1956). In almost all cases it is impossible to detect distinct predators by individual injuries. The character and shape of the shell breakage is defined mainly by the morphology of the shell. Three traits of the ammonoid shell are sensitive against predatory attacks: The morphology of the shell, the extension of the living chamber and the sculpture. Dactylioceratids and Perisphinctids which are longidome roughly ornamented morphotypes with a strong sculpture, a low whorl expansion and a subcircular area of aperture, are best armed against durophagous agressors. Instead Harpoceratids and Hecticoceratids, which are mesodome morphotypes with a smooth sculpture and high whorl expansion, are less armed by their shell. The longidome Dactylioceratids and Perisphinctids where in contrast to the meso- and brevidome morphotypes able to withdraw deeply in their shell. These relatively plump morphotypes tolerated an eccentric growth of the whorl (in rare cases a consequence of injury) much better than the discus-shaped Harpoceratids. Ammonoids in general tolerated a shell lost caused by a predatory attack much better than the recent Nautilus. The observed ammonoids where able to regenerate a maximal shell loss of 10-20 %. In the recent Nautilus a shell loss of more than 4 % is lethal. Under the assumption of a nearly neutral buoyant habit in life that gives evidence of a much higher efficiency of the buoyancy apparatus of the ammonoids. The traits supposed to be functional are shown to be real aptations by the frequency of multiple injuries. Multiple injuries are a good proxy of the vulnerability of the observed ammonoids. Instead the frequency of all healed injuries don’t correlate with the vulnerability but seems to be controlled mainly by the probability of a contact with a predator These factor is otherwise controlled by the habit of the ammonoids.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:560 ; Jura ; Ammoniten ; Schale ; Verletzung ; Palökologie ; Jura ; Ammoniten ; Schale ; Verletzung ; Paläobiologie ; Paläopathologie
    Language: German
    Type: doc-type:book
    Format: 102
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  • 6
    Publication Date: 2024-05-06
    Keywords: 166-1006A; Age model; Ageprofile Datum Description; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Joides Resolution; Leg166; Ocean Drilling Program; ODP; Sample code/label; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 7
    Publication Date: 2024-05-06
    Keywords: 166-1006; Age model; Age model, Berggren et al (1995) BKSA95; Age model, optional; Ageprofile Datum Description; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg166; Nannofossil zone; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 8
    Publication Date: 2024-05-06
    Keywords: 166-1006A; Abundance estimate; Candeina nitida; Cassigerinella chipolensis; Comment; Dentoglobigerina altispira; Dentoglobigerina baroemoenensis; Dentoglobigerina larmeui; Depth, composite; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Fohsella fohsi; Fohsella fohsi lobata; Fohsella fohsi robusta; Fohsella peripheroacuta; Fohsella praefohsi; Foraminifera, planktic preservation; Globigerina bulbosa; Globigerina bulloides; Globigerina falconensis; Globigerina sp.; Globigerina venezuelana; Globigerinella obesa; Globigerinella siphonifera; Globigerinoides conglobatus; Globigerinoides extremus; Globigerinoides obliquus; Globigerinoides ruber; Globigerinoides sacculifer; Globigerinoides seigliei; Globigerinoides trilobus; Globoquadrina dehiscens; Globorotalia aemiliana; Globorotalia archeomenardii; Globorotalia birnageae; Globorotalia cibaoensis; Globorotalia conomiozea; Globorotalia crassaformis; Globorotalia juanai; Globorotalia lenguaensis; Globorotalia margaritae; Globorotalia mediterranea; Globorotalia menardii; Globorotalia merotumida; Globorotalia plesiotumida; Globorotalia praemenardii; Globorotalia praescitula; Globorotalia pseudopima; Globorotalia scitula; Globorotalia sphericomiozea; Globorotalia suterae; Globorotalia tumida; Globorotaloides hexagonus; Heterohelicidae, triserial; Joides Resolution; Leg166; Neogloboquadrina acostaensis dextral; Neogloboquadrina acostaensis sinistral; Neogloboquadrina dutertrei; Neogloboquadrina humerosa; Neogloboquadrina pachyderma; Ocean Drilling Program; ODP; Orbulina universa; Paragloborotalia mayeri; Paragloborotalia siakensis; Polyperibola christiani; Pulleniatina primalis; Sample code/label; South Atlantic Ocean; Sphaeroidinellopsis kochi; Sphaeroidinellopsis seminulina; Sphaeroidinellopsis subdehiscens; Streptochilus spp.; Zeaglobigerina decoraperta; Zeaglobigerina microstoma; Zeaglobigerina nepenthes; Zeaglobigerina woodi
    Type: Dataset
    Format: text/tab-separated-values, 13556 data points
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  • 9
    Publication Date: 2024-05-06
    Keywords: 166-1006; Age model; Age model, Berggren et al (1995) BKSA95; Age model, optional; Ageprofile Datum Description; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg166; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 57 data points
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  • 10
    Publication Date: 2024-05-06
    Keywords: 166-1006; Age model; Age model, Berggren et al (1995) BKSA95; Age model, optional; Ageprofile Datum Description; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg166; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 11
    Publication Date: 2024-05-06
    Keywords: 166-1006; Age model; Age model, Berggren et al (1995) BKSA95; Age model, optional; Ageprofile Datum Description; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg166; Nannofossil zone; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 73 data points
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  • 12
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kroon, Dick; Williams, Trevor J; Pirmez, Carlos; Spezzaferri, Silvia; Sato, Tokiyuki; Wright, James D (2000): Coupled early Pliocene-middle Miocene bio-cyclostratigraphy of Site 1006 reveals orbitally induced cyclicity patterns of Great Bahama Bank carbonate production. In: Swart, PK; Eberli, GP; Malone, MJ; Sarg, JF (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 166, 1-12, https://doi.org/10.2973/odp.proc.sr.166.127.2000
    Publication Date: 2024-05-06
    Description: Detailed biostratigraphy in Site 1006 based on planktonic foraminifers and nannofossils shows large-scale sedimentation rate variability in the Florida Strait west of the Great Bahama Bank. A 'floating' cyclostratigraphy based mainly on resistivity logs and magnetic susceptibility data has been fixed to the biostratigraphy in the absence of magnetostratigraphy. The strongest orbital cycle present is the precessional beat, which is present in the borehole logs throughout the record. Counting the cycles resulted in an accurate time scale and thus a sedimentation rate time series. Spectral analysis of the sedimentation rate time series shows that the short-term cycle of eccentricity (~125 k.y.) and the long term cycle of eccentricity (~400 k.y.) are pervasive throughout the Miocene record, together with the long-term ~2-m.y. eccentricity cycle. The Great Bahama Bank produced pulses of shallow carbonate input once every precessional (sea level) cycle during the Miocene and perhaps two pulses per cycle in the early Pliocene. The amount of sediment exported in these pulses appears to be controlled by eccentricity modulation of the precessional amplitude and therefore the amplitude of the sea-level rise. Finally, an increase in sedimentation rate just after the Miocene/Pliocene boundary is attributed to a change in the location and strength of sediment drift currents in the Florida Strait due to reorganization of the currents following the closure of the Panama Isthmus.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 13
    facet.materialart.
    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-03
    Description: Diese Arbeit beruht auf der Nachbebenserie des Antofagasta-Bebens vom 30.07.1995. Die Nachbebenserie wurde während des CINCA ’95 Projektes in einer Zusammenarbeit zwischen den Instituten der Freien Universität Berlin und des GFZ Potsdam, im Rahmen des Sonderforschungsbereich 267, der BGR (Hannover), und des GEOMAR (Kiel) gemessen. Dazu wurde ein Netzwerk aus 50 Stationen on- und offshore im Zeitraum zwischen dem 10.08.1995 und dem 11.10.1995 betrieben. Das Netzwerk überdeckte insgesamt 310 km (22°10'S - 25°S) in Nord-Süd und 185 km (71°10'W - 69°20'W) in Ost- West-Richtung. Aus den gepickten P-und S-Einsätzen der Beben wurde mit dem Programm simulpsl2 ein 3D Geschwindigkeitsmodell berechnet. Das Modell zeigt Strukturen, die bereits früher mit aktiver Seismik gemessen wurden. So konnte entlang der Küste eine Hochgeschwindigkeitszone (vP ≈ 7.0 km/s) in 20 km, und eine Niedriggeschwindigkeitszone (vP ≈ 6.25 km/s) in 30 km Tiefe gemessen werden. Die Hochgeschwindigkeitszone wird als jurassische Unterkruste, die postjurassisch gehoben wurde, interpretiert. Im unteren Bereich kann die Hochgeschwindigkeitszone auch aus teilserpentinisierten jurassischen Mantelgestein bestehen. Als Interpretation für die Niedriggeschwindigkeitszone wird hydraulic fracturing favorisiert. Die Niedriggeschwindigkeitszone ist nicht durchgehend vorhanden. Bei 24°S befindet sich stattdessen ein Block hoher Geschwindigkeiten, der im oberen Bereich mit der Hochgeschwindigkeitszone verbunden ist. Der ozeanische Mantel konnte zwar in den Inversionen modelliert werden, jedoch war hier die Durchstrahlung nicht hinreichend, um genauere Angaben über seine Geschwindigkeit, oder seine Oberkante zu erhalten. Auch die oberen Bereiche der kontinentalen Kruste konnten nur unzureichend aufgelöst werden, da sich die Strahlen hier kaum kreuzten. Zusammen mit dem vP-Geschwindigkeitsmodell wurde auch das vP/vS- Verhältnis berechnet. Dabei konnte die Hochgeschwindigkeitszone mit einem vP/vS- Verhältnis von 1.76 - 1.81 korreliert werden. Die Niedriggeschwindigkeitszone kann mit einem vP/vS- Verhältnis von 1.67 - 1.76 korreliert werden. Mit dem 3D-Modell konnten fast alle Beben mit einer besseren Tiefengenauigkeit als 1 km lokalisiert werden. Der Hauptteil der Beben befindet sich in einem schmalen Bereich zwischen kontinentaler und ozeanischer Platte. Jedoch wurden auch einige krustale Beben detektiert. Desweiteren konnten einige Beben im ozeanischen Mantel gemessen werden. Die Bereiche, in denen das Modell gut bzw. schlecht bestimmt ist, wurden durch einen Vergleich verschiedener Modelle klassifiziert. Bei dieser Methode wurden Modelle mit verschiedenen Knotenebenen berechnet. Bereiche, in denen sich diese Modelle stark unterschieden, wurden über die Geometrische Spreizung als „schlecht aufgelöst“ klassifiziert. Weiterhin wurde die Wirkung verrauschter Daten auf die Inversion betrachtet, um den Einfluß ungenauer Picks auf das Modell zu erhalten. Zusätzlich wurden die Magnituden-Häufigkeits-Parameter für die Bebengebiete in ≈ 40 km, ≈ 100 km, sowie ≈ 200 km aus Daten verschiedener Kataloge berechnet. Es zeigte sich, daß die Beben in 100 km Tiefe nicht durch einen einzigen Magnituden-Häufigkeits-Gradienten („b-Wert“) beschreibbar sind. Dazu wurde vorgeschlagen, daß sich die tektonische Spannung hier aufbaut, und bei einer Magnitude von etwa 5.6 entlädt. Für die Beben in etwa 40 km Tiefe wurde weiterhin die zeitliche Änderung der Magnituden-Häufigkeits-Parameter zwischen 1973 und 1998 untersucht. Dabei konnte zum einen ein Trend von kleinen zu großen b- Werten zwischen 1977 und 1983 festgestellt werden. Für die nachfolgenden Jahre, bis 1995, wichen die Magnituden-Häufigkeits-Kurven fast immer so stark von einer Geraden ab, daß die Parameter nicht berechnet werden konnten. Als problematisch erwies sich die Umrechnung der Parameter zwischen den Lokalmagnituden (CINCA ’95) und den Raumwellenmagnituden (PDE-Katalog). Hier reichten die Beben, die in beiden Katalogen verzeichnet sind nicht aus, um eine Regressionsgerade zu erstellen. In Anbetracht dieser Problematik wurde in der Arbeit auch eine Methode formuliert, die Magnituden mittels der Magnituden-Häufigkeits-Parameter ineinander umzurechnen.
    Description: This work is based on aftershock series of the Antofagasta event (30.07.1995). The aftershocks were recorded within the project CINCA ’95, as a collaboration between the Freie Universität Berlin and the GFZ Potsdam (within the frame of the collaborative research center 267), the BGR (Hannover) and the Geomar (Kiel). The seismological part of CINCA ’95 was performed with a network of 50 stations (on- and offshore) 10.08.95 and 11.10.95. The itself network covered an area of 310 km (22°10'S – 25°S) by 185 km (71°10'W – 69°20'W). A 3D velocity model has been obtained with the use of the program simulpsl2 from the P- and S-onsets of the events. Several structures which were known from previous active seismic experiments were resolved by the 3D model: a high velocity zone (vP ≈ 7.0 km/s) at a depth of 20 km and a low velocity zone ( vP ≈ 6.25 km/s) at a depth of 30 km. Generally, the high velocity zone is corellated to a vP/vS-ratio of 1.76 - 1.81, whereas he low velocity zone is corellated to a vP/vS-ratio of 1.67 - 1.76. The high velocity zone was explained as jurassic lower crust which was elevated in post Jurassic times. In its lower parts the high velocity zone possibly consists of former mantle material which was partly serpentinized. The low velocity zone was interpreted as material which is modified by upwelling fluids (hydraulic fracturing). In the southern part of the model (24°S) the low velocity zone is absent. In this region a block of high velocities was found which is connected to the high velocity zone. The oceanic mantle was computed within the 2D inversion step. However, the ray density was not adequate to gain sufficient information from the 3D inversion about the seismic velocity or the upper edge of the oceanic mantle. The upper regions of the continental crust were not sufficiently resolved as well. The majority of earthquakes was localized with a precision higher than 1 km. Most earthquakes were found in a small region between the continental and the oceanic plate. However, several crustal events were detected in the continental plate. Moreover, several events were detected within the oceanic mantle. A comparison of models obtained from different inversions was used to classify the quality of the regions of the model. This method included the computation of models with varying grids. Regions where the seismic velocities varied strongly with respect to the different models were classified as “low resolved“. From this classification a threshold value of the geometrical spread was determined. The influence of inexact picks on the model was investigated by inversions with noisy data. Additionally, the magnitude - frequency parameters were computed for earthquakes at ≈ 40 km, ~ 100 km and ≈ 200 km depth. As a single straight line is not adequate to describe the magnitude - frequency distribution in ≈ 100 km depth, it was proposed that the tectonic stress in this region rarely exceeds values which generate earthquakes with a magnitude of roughly 5.6. For the region of ≈ 40 km depth the temporal (1973 to 1998) variation of the magnitude - frequency parameters was investigated. It was found that the b-values increase between 1977 and 1983. In subsequent times the magnitude - frequency distribution can not be described by a straight line. The large quantity of events which were recorded within CINCA ’95 lead to accurate magnitude - frequency parameters. However, only a few events were listed in both, the PDE and the CINCA catalogue. Thus, the local - magnitudes (CINCA) could not be transformed sufficiently to body wave magnitudes by the use of regression. A formula was derived which transforms the magnitudes if all events belong to the same set of magnitude frequency parameters.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:550 ; Geophysik ; Erdbeben
    Language: German
    Type: doc-type:book
    Format: 234
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  • 14
    facet.materialart.
    Unknown
    Selbstverlag Fachbereich Geowissenschaften, FU Berlin
    In:  Herausgeberexemplar
    Publication Date: 2024-05-03
    Description: Die vorliegende Arbeit behandelt die Auswertung und Interpretation von refraktions- und weitwinkelseismischen Messungen die im Rahmen des seismischen Projekts ANCORP 1996 in Nordchile und Bolivien durchgeführt worden waren. Der Datensatz dieses Projekts, bestehend aus Steilwinkelreflexionsdaten und Refraktionsdaten ergänzt die in den vergangenen zwei Jahrzehnten gesammelten seismischen Daten. Nachdem in den vorigen Projekten onshore ausschließlich refraktionsseismische Daten gesammelt wurden, ist die ANCORP-Traverse die einzige tiefenreflexions- und refraktionsseismische Linie in den südlichen Zentralen Anden. Nach einer kurzen Einleitung wird zunächst ein Überblick über die geologische und morphostrukturelle Gliederung des Arbeitsgebietes gegeben, das sich von der chilenischen Pazifikküste bis zum Ostrand des bolivianischen Altiplanos erstreckt. Die Traverse kreuzt die morphologischen Einheiten (Küstenkordillere, Längstal, Westkordillere (der aktive vulkanische Bogen) und Altiplano) senkrecht zu ihrer Streichrichtung. Es folgt die Beschreibung der technischen Durchführung der seismischen Messungen auf der ANCORP-Traverse, die von September bis November 1996 stattfand. Im Anschluß daran wird auf die Auswertung der refraktions- und weitwinkelseismischen Daten eingegangen. Die Ersteinsätze der Steilwinkelreflexionsdaten erlaubten die tomographische Bestimmung eines Geschwindigkeitsmodells entlang der Traverse für die oberen 5 km. Dieses Geschwindigkeitsmodell gibt vor allem einen Überblick über die Lage von mächtigeren Sedimentschichten im Längstal und auf dem Altiplano, wo deutlich niedrigere P-Wellen-Geschwindigkeiten (um etwa 2 km/s) bestimmt wurden als in den Kordilleren. Die Schußsektionen des Weitwinkel-Experiemts wurden dann auf mögliche Korrelationen untersucht. Da die meisten Sektionen nicht länger als 160 km waren, waren kaum Korrelationen aus dem Bereich der unteren kontinentalen Kruste und der ozeanischen Kruste möglich. Überkritische Reflexionen von der kontinentalen Moho und der ozeanischen Moho konnten in der Sektion des Schußpunktes im Pazifischen Ozean korreliert werden. Die übrigen Schüsse ergänzten die bereits aus früheren Kampagnen stammenden Sektionen entlang der Traverse und senkrecht zu ihr. Basierend auf Laufzeitmodellierungen der in den Sektionen korrelierten Phasen und unter Berücksichtigung der Ergebnisse der dem ANCORP Experiment vorangehenden Messungen wird ein Geschwindigkeitsmodell für die Traverse entlang des 21. südlichen Breitengrades vorgestellt. Perturbationsrechnungen wurden durchgeführt, um den Fehlerbalken für die P- Wellen Geschwindigkeiten und Tiefenlagen von Reflektoren zu bestimmen. Um die gewonnenen Ergebnisse strukturell zu interpretieren, werden weitere Informationen aus geophysikalischen Untersuchungen benötigt, über die in den folgenden Kapiteln ein Überblick gegeben wird. Die Datensätze aus Reflexionsseismik, Gravimetrie und Magnetotellurik werden dann zusammengefaßt zu einem Strukturmodell bestehend aus der kontinentalen Kruste, aufgeteilt in eine geophysikalische Oberkruste und der durch verschiedene Prozesse verdickten Kruste, einem asthenosphärischen Mantelkeil und der subduzierten ozeanischen Kruste. Die Synthese der Ergebnisse der geophysikalischen Untersuchungen entlang der Traverse bezüglich der extremen Verdickung der kontinentalen Kruste ist, daß diese im Forearc durch Underplating und Hydratisierung von Mantelmaterial erfolgt ist, im Arc und westlichen Backarc durch pure shear Deformation und im östlichen Backarc durch simple shear Deformation.
    Description: In this thesis the refraction and wide-angle seismic data of the seismic project ANCORP 1996, measured in Northern Chile and Bolivia, are evaluated and interpreted. The data set of this project, consisting of near- vertical incidence and wide-angle seismic data, completes the data collected during the past two decades. Earlier projects having measured only refraction seismic data onshore, the ANCORP transsect is the only deep reflexion and refraction seismic line in the Southern Central Andes. After a short introduction, an overview of the geological and morphstructural setting of the working area is given. The area is reaching from the Chilean Pacific Coast through the eastern margin of the Bolivian Altiplano. The transsect crosses the morphstructural units (Coastal Cordillera, Longitudinal Valley, Precordillera, Western Cordillera (magmatic arc) and Altiplano) orthogonally to their strike. After that a description of technical aspects of the seismic measurements on the ANCORP transsect is given. Then the evaluation of the refraction- and wide-angle data will be described. The first break traveltimes of the CMP-measurements made possible the tomographic determination of the P-wave velocity distribution along the transsect for the uppermost 5 km. This velocity model mainly represents the varying sediment layer thickness in the Longitudinal Valley and on the Altiplano where significantly lower P-wave velocities were found than in the cordilleras (2 km/s lower). The shot-sections of the wide-angle seismic experiment were examined for possible correlations. As most of the sections were not longer than 160 km, only few correlations from the deeper continental crust and the oceanic crust could be made. Over-critical reflections from the continental Moho and the oceanic Moho could be correlated in the section of the shotpoint in the Pacific Ocean. The remaining shots complete the sections from earlier campaigns along the transsect and orthogonally to it. Based on traveltime modeling of the phases correlated in the sections and taking into account the results of measurements before the ANCORP experiment a velocity model for the transsect along 21°S is introduced. Perturbed models were tested in order to find the error of P-wave velocity and depth of layer boundaries. For a structural interpretation of the results, further information from geophysical inverstigations is needed. An overview of the most important results of reflection seismic, gravimetric and magnetotelluric measurements is given and then, together with the results of the wide-angle seismic investigations put together into a structural model, consisting of a continental crust, divided into upper geophysical crust and crust thickened by several processes, an asthenospheric mantle wedge and the subducted oceanic crust. The most important conclusion concerning the thickening of the continental crust, derived from the geophysical investigations along the transsect is the following: In the forearc, thickening is mainly caused by magmatic underplating and hydration of the continental mantle, in the arc and western backarc pure shear deformation are most important and the eastern backarc is thickened by simple shear deformation.
    Description: thesis
    Description: DFG, SUB Göttingen
    Keywords: ddc:550 ; Erdkruste ; Seismisches Profil ; Refraktionsseismik
    Language: German
    Type: doc-type:book
    Format: 122
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  • 15
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    Unknown
    PANGAEA
    In:  Supplement to: Jarrard, Richard D; Brink, Jason; Bücker, Christian J; Wonik, Thomas; Wilson, Terry; Paulsen, Timothy S (2000): Bedding dips in CRP-2A, Victoria Land Basin, Antarctica. Terra Antartica, 7(3), 261-270, hdl:10013/epic.28277.d001
    Publication Date: 2024-04-29
    Description: Bedding dips in the CRP-2A drillhole were determined in two ways (1) analysis of a dipmeter log, and (2) identification of bed boundaries on digital images of the outer core surface. The two methods document the downhole increase in structural dip, to a maximum of 15° in the lowest 150 m of the hole. Dipmeter data, which are azimuthally oriented, indicate a 75° azimuth for structural tilting, in agreement with seismic reflection profiles. Core and log dips indicate that structural dip increases by 5-7° between 325 and 480 mbsf. Both, however, also exhibit high dip inhomogeneity because of depositional (e.g., cross bedding) and post-depositional (e.g., softsediment deformation) processes. This variability adds ambiguity to the search for angular unconformities within the CRP-2A drillhole. Dip directions of different lithologies are generally similar, as are dip directions for the four kinds of systems tracts. Downdip azimuths of sands and muds are slightly different from those of diamicts, possibly reflecting the divergence between ENE offshore dip and ESE glacial advance.
    Keywords: 14.2 km at 096° true from Cape Roberts; Azimuth; Bed dip; Cape Roberts Project; Compass; Confidence; Core wireline system; CRP; CRP-2; CRP-2A; CWS; Depth, bottom/max; Depth, top/min; Number; Obliquity/tilt; off Cape Roberts, Ross Sea, Antarctica; Sample code/label; Sampling/drilling from ice; Student_s t
    Type: Dataset
    Format: text/tab-separated-values, 238 data points
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  • 16
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    PANGAEA
    In:  Supplement to: Kettler, Richard M; Papastavros, E (2000): Preliminary results of bitumen and whole-rock elemental analyses of CRP-2/2A, Victoria Land Basin, Antarctica. Terra Antartica, 7(3), 361-367, hdl:10013/epic.28269.d001
    Publication Date: 2024-04-27
    Description: Sediments and rocks recovered in CRP-2/2A coring operations contain relatively little organic matter (average TOC=0.28%) and very small amounts of solvent-soluble organic matter. Because Early Oligocene sediment included significant amounts of coal detritus, TOC values are higher in Early Oligocene rocks than in younger rocks. TOC values are highest in the fine-grained rocks deposited as part of the highstand systems tract (HST) and TOC values decrease from the bottom to the top of the HST. The TOC:TN ratios observed in the CRP-2/2A core typically exceed 10, and are strong evidence that the preserved organic matter comprises a mixture of detrital coal and aquatic organic matter. Solvent-soluble organic matter comprises autochthonous bitumen derived from aquatic organic matter, allochthonous bitumen derived from deeper sedimentary rocks, and recycled bitumen derived from coal detritus.
    Keywords: 14.2 km at 096° true from Cape Roberts; Cape Roberts Project; Carbon, organic, total; Carbon, organic, total, standard deviation; Carbon, total; Carbon, total, standard deviation; Core wireline system; CRP; CRP-2; CRP-2A; CWS; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Element analyser CNS, Carlo Erba NA1500; Nitrogen, standard deviation; Nitrogen, total; off Cape Roberts, Ross Sea, Antarctica; Sampling/drilling from ice
    Type: Dataset
    Format: text/tab-separated-values, 700 data points
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  • 17
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21730-2 PS13/224; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; SL
    Type: Dataset
    Format: text/tab-separated-values, 410 data points
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  • 18
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    Unknown
    PANGAEA
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Grain size, sieving; Gravity corer (Kiel type); Greenland Slope; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/251; PS1927-2; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 〉 0.500 mm, gravel; Size fraction 0.630-0.500 mm; SL
    Type: Dataset
    Format: text/tab-separated-values, 116 data points
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  • 19
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21725-2 PS13/192; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1725-2; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; SL
    Type: Dataset
    Format: text/tab-separated-values, 340 data points
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  • 20
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Grain size, sieving; Gravity corer (Kiel type); Greenland Slope; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/290; PS1951-1; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 〉 0.500 mm, gravel; Size fraction 0.630-0.500 mm; SL
    Type: Dataset
    Format: text/tab-separated-values, 176 data points
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  • 21
    Publication Date: 2024-04-25
    Keywords: 171-1051B; Blake Nose, North Atlantic Ocean; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Joides Resolution; Leg171B; Mass spectrometer Finnigan MAT 252; Nuttallides truempyi, δ13C; Nuttallides truempyi, δ18O; Ocean Drilling Program; ODP; Sample code/label; Size
    Type: Dataset
    Format: text/tab-separated-values, 751 data points
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  • 22
    Publication Date: 2024-04-25
    Keywords: 171-1051B; Acarinina praetopilensis, δ13C; Acarinina praetopilensis, δ18O; Blake Nose, North Atlantic Ocean; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Globigerinatheka mexicana, δ13C; Globigerinatheka mexicana, δ18O; Joides Resolution; Leg171B; Mass spectrometer VG Isogas Prism; Morozovella crassata, δ13C; Morozovella crassata, δ18O; Morozovella spinulosa, δ13C; Morozovella spinulosa, δ18O; Morozovella spp., δ13C; Morozovella spp., δ18O; Ocean Drilling Program; ODP; Sample amount; Sample code/label; Size
    Type: Dataset
    Format: text/tab-separated-values, 1128 data points
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  • 23
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    PANGAEA
    In:  Supplement to: Wade, Bridget S; Norris, Richard D; Kroon, Dick (2000): Data report: High-resolution stable isotope stratigraphy of the late middle Eocene at Site 1051, Blake Nose. In: Kroon, D; Norris, RD; Klaus, A (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 171B, 1-14, https://doi.org/10.2973/odp.proc.sr.171B.119.2000
    Publication Date: 2024-04-25
    Description: The primary aim of the this investigation was to examine the stability of subtropical sea-surface temperatures and reconstruct the surface-to-benthos thermal gradient. High-resolution stable isotopic analyses (18O and 13C) were conducted on late middle Eocene planktonic and benthic foraminifers recovered from Hole 1051B, Blake Nose, western North Atlantic. The sequence comprises a siliceous nannofossil and foraminifer ooze, with well-preserved calcareous microfossils. Isotopic examination was conducted on the mixed-layer dweller Morozovella spinulosa and the benthic foraminifer Nuttalides truempyi at this subtropical site.
    Keywords: 171-1051B; Blake Nose, North Atlantic Ocean; DRILL; Drilling/drill rig; Joides Resolution; Leg171B; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 24
    Publication Date: 2024-04-24
    Keywords: AII-GGC-22; Aluminium; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Germanium/Silicon ratio; Iron; PC; Piston corer; RC13; RC13-252; RC13-259; RC13-271; Robert Conrad; Zinc; Zinc/Silicon ratio; Zinc/Silicon ratio, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 188 data points
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  • 25
    Publication Date: 2024-04-20
    Keywords: Calcium carbonate, flux; Calculated; Calculated, see reference(s); Carbon, organic, particulate, flux; Carbon/Nitrogen ratio; CH3-1_trap; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; JGOFS; Joint Global Ocean Flux Study; Lithogenic, flux; Mass spectrometer Finnigan MAT 251; Nitrogen, total, flux; OCEMOS 1; off Chile; Organic matter, particulate, flux; Sample code/label; Sample mass; Silica, particulate, flux per day; split; Split; Total mass, flux per day; Trap; TRAP; Weighted; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 26
    Publication Date: 2024-04-20
    Keywords: Calcium carbonate, flux; Calculated; Calculated, see reference(s); Carbon, organic, particulate, flux; Carbon/Nitrogen ratio; CH4-1_trap; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; JGOFS; Joint Global Ocean Flux Study; Lithogenic, flux; Mass spectrometer Finnigan MAT 251; Nitrogen, total, flux; OCEMOS 2; off Chile; Organic matter, particulate, flux; Sample code/label; Sample mass; Silica, particulate, flux per day; split; Split; Total mass, flux per day; Trap; TRAP; Weighted; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 277 data points
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  • 27
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    PANGAEA
    In:  Supplement to: Witte, Ursula; Pfannkuche, Olaf (2000): High rates of benthic carbon remineralization in the abyssal Arabian Sea. Deep Sea Research Part II: Topical Studies in Oceanography, 47(14), 2785-2804, https://doi.org/10.1016/S0967-0645(00)00049-7
    Publication Date: 2024-04-18
    Description: During the large-scale deep-sea programme BIGSET in situ measurements of sediment community oxygen consumption (SCOC) were carried out during three cruises between 1995-1998 at five abyssal sites (3190-4450 m water depth) in the deep Arabian Sea in order to elucidate the regional and temporal variation of benthic carbon remineralisation. SCOC ranged from 0.9-6.3 mmol O2 m**-2 d**-1, with highest values in the western and northern Arabian Sea and lowest values in the southern Arabian Sea. For the central Arabian Sea intermediate oxygen uptake rates were detected. This regional pattern mirrors the overall regional pattern of primary productivity in surface waters and vertical particulate organic carbon (POC) flux at 1000 mab. Primary productivity in Arabian Sea surface waters and particulate flux into the deep-sea are controlled by the monsoon system and the flux maxima during the SW and NE monsoon are among the highest particle fluxes recorded in the deep open ocean. Highest flux rates were recorded in the western and northern Arabian Sea and decreased towards the central and southern Arabian Sea. SCOC at our western, northern and eastern Arabian Sea stations WAST, NAST and EAST were considerably higher than so far detected in other abyssal areas of the global oceans, and vertical POC flux can account for only 20-50% of benthic carbon remineralisation (BCR). Possible explanations for the high rates of BCR at these stations that are situated close to the continental margins are discussed: the accelerated deposition of very labile organic matter due to eolian dust particles, enhanced rain efficiencies, and lateral advection. A significant temporal variability in SCOC only could be detected at the eastern and western Arabian Sea stations WAST and EAST.
    Keywords: 24#2; 31; 58; 77; Arabian Sea; BIGSET; BIGSET-1; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; BL_C; Bottom lander, chamber; DEPTH, sediment/rock; Elevation of event; Event label; Incubation of bottom water, in-situ; Latitude of event; Longitude of event; M33/1_FFR-02; M33/1_FFR-04; M33/1_FFR-06; M33/1_FFR-07; Oxygen, flux, sediment oxygen demand; Oxygen, flux, standard deviation; RESP; Respirometer; SO118; SO118_FFR-02; SO129; SO129_FFR-01; SO129_FFR-03; SO129_FFR-04; SO129_FFR-05; SO129_FFR-06; SO129_FFR-07; Sonne; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 23 data points
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  • 28
    Publication Date: 2024-04-18
    Keywords: 381; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M12/3; M12/3_MSN562; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Northeast Atlantic; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 846 data points
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  • 29
    Publication Date: 2024-04-18
    Keywords: 373; Beella digitata; Berggrenia pumilio; Biotrans; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M21/6; M21/6_MSN776; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1504 data points
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  • 30
    Publication Date: 2024-04-18
    Keywords: 581; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-01; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 31
    Publication Date: 2024-04-18
    Keywords: 585; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-04; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 32
    Publication Date: 2024-04-18
    Keywords: 587; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-06; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 33
    Publication Date: 2024-04-18
    Keywords: 603; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-08; Meteor (1986); MUC; MultiCorer; Northern Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 34
    Publication Date: 2024-04-18
    Keywords: 614; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-12; Meteor (1986); MUC; MultiCorer; Northern Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 35
    Publication Date: 2024-04-18
    Keywords: 633; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-16; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 36
    Publication Date: 2024-04-18
    Keywords: 611; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-10; Meteor (1986); MUC; MultiCorer; Northern Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 37
    Publication Date: 2024-04-18
    Keywords: 637; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-18; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 38
    Publication Date: 2024-04-18
    Keywords: 641, CAST; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-21; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 39
    Publication Date: 2024-04-18
    Keywords: 661; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; Eastern Arabian Sediment Trap; M33/1; M33/1_MC-24; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 40
    Publication Date: 2024-04-18
    Keywords: 662; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; Eastern Arabian Sediment Trap; M33/1; M33/1_MC-26; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 41
    Publication Date: 2024-04-18
    Keywords: 666; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-29; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 42
    Publication Date: 2024-04-18
    Keywords: 655; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; Eastern Arabian Sediment Trap; M33/1; M33/1_MC-22; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998)
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 43
    Publication Date: 2024-04-18
    Keywords: 668; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-31; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 44
    Publication Date: 2024-04-18
    Keywords: 671; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M33/1; M33/1_MC-34; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 45
    Publication Date: 2024-04-18
    Keywords: 6#2; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-07; Sonne; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 46
    Publication Date: 2024-04-18
    Keywords: 11#2; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-09; Sonne; Western Arabian Sediment Trap-Kuppe
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 47
    Publication Date: 2024-04-18
    Keywords: 11#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-08; Sonne; Western Arabian Sediment Trap-Kuppe
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 48
    Publication Date: 2024-04-18
    Keywords: 13#3; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-10; Sonne; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 49
    Publication Date: 2024-04-18
    Keywords: 24#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-14; Sonne; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 50
    Publication Date: 2024-04-18
    Keywords: 22#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-12; Sonne; Western Arabian Sediment Trap-Kuppe
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 51
    Publication Date: 2024-04-18
    Keywords: 30#4; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-19; Sonne; Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 52
    Publication Date: 2024-04-18
    Keywords: 31#9; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-20; Sonne; Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 53
    Publication Date: 2024-04-18
    Keywords: 35#4; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-22; Sonne; Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 54
    Publication Date: 2024-04-18
    Keywords: 41; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-24; Sonne; Southern Arabian Sediment Trap/Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 55
    Publication Date: 2024-04-18
    Keywords: 43#4; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-27; Sonne; Western Arabian Sediment Trap-Kuppe
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 56
    Publication Date: 2024-04-18
    Keywords: 50#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-30; Sonne; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 57
    Publication Date: 2024-04-18
    Keywords: 54; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-33; Sonne; Western Arabian Sediment Trap/Central Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 58
    Publication Date: 2024-04-18
    Keywords: 58#3, CAST; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-35; Sonne
    Type: Dataset
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  • 59
    Publication Date: 2024-04-18
    Keywords: 67#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-39; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 60
    Publication Date: 2024-04-18
    Keywords: 60#3; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-37; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 61
    Publication Date: 2024-04-18
    Keywords: 70#3, NAST; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Northern Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-43; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 62
    Publication Date: 2024-04-18
    Keywords: 73#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Northern Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-44; Sonne
    Type: Dataset
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  • 63
    Publication Date: 2024-04-18
    Keywords: 80; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Northern Arabian Sediment Trap/Western Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-47; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 64
    Publication Date: 2024-04-18
    Keywords: 85#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-48; Sonne; Western Arabian Sediment Trap-Kuppe
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 65
    Publication Date: 2024-04-18
    Keywords: 76#2; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents, confidence; Chloroplastic pigment equivalents per volume; DEPTH, sediment/rock; MUC; MultiCorer; Northern Arabian Sediment Trap; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-45; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 66
    Publication Date: 2024-04-18
    Keywords: 9#4; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-06; Sonne; Western Arabian Sediment Trap Plain
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 67
    Publication Date: 2024-04-18
    Keywords: 9#2; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-04; Sonne; Western Arabian Sediment Trap Plain
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 68
    Publication Date: 2024-04-18
    Keywords: 88#1; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO118; SO118_MC-50; Sonne; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 69
    Publication Date: 2024-04-18
    Keywords: 19#2; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-08; Sonne; Western Arabian Sediment Trap Top
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 70
    Publication Date: 2024-04-18
    Keywords: 19#7; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-10; Sonne; Western Arabian Sediment Trap Top
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 71
    Publication Date: 2024-04-18
    Keywords: 19#9; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-11; Sonne; Western Arabian Sediment Trap Top
    Type: Dataset
    Format: text/tab-separated-values, 69 data points
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  • 72
    Publication Date: 2024-04-18
    Keywords: 26; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-13; Sonne; Western Arabian Sediment Trap/Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 73
    Publication Date: 2024-04-18
    Keywords: 34#1; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-15; Sonne; Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 74
    Publication Date: 2024-04-18
    Keywords: 36#3; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-18; Sonne; Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 75
    Publication Date: 2024-04-18
    Keywords: 46; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-20; Sonne; Southern Arabian Sediment Trap/Eastern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 76
    Publication Date: 2024-04-18
    Keywords: 36#2; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-17; Sonne; Southern Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 77
    Publication Date: 2024-04-18
    Keywords: 49#8; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; Eastern Arabian Sediment Trap; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-23; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 78
    Publication Date: 2024-04-18
    Keywords: 49#1; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; Eastern Arabian Sediment Trap; MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); SO129; SO129_MC-21; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 79
    Publication Date: 2024-04-18
    Keywords: 110#3, M31/3-110.3_MC1; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M31/3; M31/3_MC-12; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 80
    Publication Date: 2024-04-18
    Keywords: 110#4, M31/3-110.4_MC3; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Chlorophyll a; Chlorophyll a, confidence; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, confidence; DEPTH, sediment/rock; M31/3; M31/3_MC-15; Meteor (1986); MUC; MultiCorer; Phaeopigments; Phaeopigments, confidence; Pigment concentration (Shuman & Lorenzen, 1975; Pfannkuche et al, 1998); Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 81
    Publication Date: 2024-04-18
    Keywords: 110, M31/3_MC376, WAST; 581, NAST; 621, WAST-T; 622, WAST; 640, CAST; 661, EAST; 666, SAST; Arabian Sea; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Communality; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Eastern Arabian Sediment Trap; Elevation of event; Event label; Factor 1; Factor 2; Factor 3; Factor 4; Factor 5; Factor 6; Latitude of event; Longitude of event; M31/3; M31/3_111#1,GeoB3007-3,WAST-T; M31/3_111#2,GeoB3008-5,WAST-Flank; M31/3_MC-08; M31/3_MC-11; M31/3-110.4_MC1; M33/1; M33/1_MC-03; M33/1_MC-13; M33/1_MC-15; M33/1_MC-19; M33/1_MC-25; M33/1_MC-30; Meteor (1986); MUC; MultiCorer; Northern Arabian Sediment Trap; Sample code/label; Season; Southern Arabian Sediment Trap; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 396 data points
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  • 82
    Publication Date: 2024-04-18
    Keywords: BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Factor 1; Factor 2; Factor 3; Factor 4; Factor 5; Factor 6; Factor analysis, Q-mode; Species
    Type: Dataset
    Format: text/tab-separated-values, 490 data points
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  • 83
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Pfannkuche, Olaf; Sommer, Stefan; Kähler, A (2000): Coupling between phytodetritus and the small-sized benthic biota in the deep Arabian Sea: analyses of biogenic sediment compound. Deep Sea Research Part II: Topical Studies in Oceanography, 47(14), 2805-2833, https://doi.org/10.1016/S0967-0645(00)00050-3
    Publication Date: 2024-04-18
    Description: As part of the large-scale, interdisciplinary deep-sea study "BIGSET", the relationship between the monsoon-induced regional and temporal variability of POC deposition and the small-sized benthic community was investigated at several sites 2316-4420 m deep in the Arabian Sea during four cruises between 1995 and 1998. Vertical and horizontal distribution patterns of chloroplastic pigments (a measure of phytodetritus deposition), readily soluble protein and activity, and biomass parameters of the small-sized benthic community (Electron Transport System Activity (ETSA); bacterial ectoenzymatic activity (FDA turnover) and DNA concentrations) were measured concurrently with the vertical fluxes of POC and chloroplastic pigments. Sediment chlorophyll a (chl. a) profiles were used to calculate chl. a flux rates and to estimate POC flux across the sediment water interface using two different transport reaction models. These estimates were compared with corresponding flux rates determined in sediment traps. Regional variability of primary productivity and POC deposition at the deep-sea floor creates a trophic gradient in the Arabian Basin from the NW to the SE, which is primarily related to the activity of monsoon winds and processes associated with the topography of the Arabian Basin and the vicinity of land masses. Inventories of sediment chloroplastic pigments closely corresponded to this trophic gradient. For ETSA, FDA and DNA, however, no clear coupling was found, although stations WAST (western Arabian Sea) and NAST (northern Arabian Sea) were characterised by high concentrations and activities. These parameters exhibited high spatial and temporal variability, making it impossible to recognise clear mechanisms controlling temporal and spatial community patterns of the small-sized benthic biota. Nevertheless, the entire Arabian Basin was recognised as being affected by monsoonal activity. Comparison of two different transport reaction models indicates that labile chl. a buried in deeper sediment layers may escape rapid degradation in Arabian deep-sea sediments.
    Keywords: 109, M31/3-109_MC2; 11#1; 11#2; 110#1, M31/3-110.1_MC2; 110#2, M31/3-110.2_MC2; 110#3, M31/3-110.3_MC1; 110#4, M31/3-110.4_MC3; 13#3; 19#2; 19#7; 19#9; 22#1; 24#1; 26; 3; 30#4; 31#9; 34#1; 35#4; 36#2; 36#3; 41; 43#4; 46; 49#1; 49#8; 50#1; 54; 58#3, CAST; 581; 585; 587; 6#2; 60#3; 603; 611; 614; 633; 637; 641, CAST; 655; 661; 662; 666; 668; 67#1; 671; 70#3, NAST; 73#1; 76#2; 80; 85#1; 88#1; 9#2; 9#4; Arabian Sea; BIGSET; BIGSET-1; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Eastern Arabian Sediment Trap; M31/3; M31/3_MC-02; M31/3_MC-05; M31/3_MC-07; M31/3_MC-10; M31/3_MC-12; M31/3_MC-15; M31/3_MC-17; M31/3-108_MC1/1, 108; M31/3-112_MC1, MC377, GeoB3010-3; M33/1; M33/1_MC-01; M33/1_MC-04; M33/1_MC-06; M33/1_MC-08; M33/1_MC-10; M33/1_MC-12; M33/1_MC-16; M33/1_MC-18; M33/1_MC-21; M33/1_MC-22; M33/1_MC-24; M33/1_MC-26; M33/1_MC-29; M33/1_MC-31; M33/1_MC-34; Meteor (1986); MUC; MultiCorer; Northern Arabian Sediment Trap; Northern Arabian Sediment Trap/Western Arabian Sediment Trap; SO118; SO118_MC-07; SO118_MC-08; SO118_MC-09; SO118_MC-10; SO118_MC-12; SO118_MC-14; SO118_MC-19; SO118_MC-20; SO118_MC-22; SO118_MC-24; SO118_MC-27; SO118_MC-30; SO118_MC-33; SO118_MC-35; SO118_MC-37; SO118_MC-39; SO118_MC-43; SO118_MC-44; SO118_MC-45; SO118_MC-47; SO118_MC-48; SO118_MC-50; SO129; SO129_MC-01; SO129_MC-04; SO129_MC-06; SO129_MC-08; SO129_MC-10; SO129_MC-11; SO129_MC-13; SO129_MC-15; SO129_MC-17; SO129_MC-18; SO129_MC-20; SO129_MC-21; SO129_MC-23; Sonne; Southern Arabian Sediment Trap; Southern Arabian Sediment Trap/Eastern Arabian Sediment Trap; Southern Arabian Sediment Trap/Western Arabian Sediment Trap; Western Arabian Sediment Trap; Western Arabian Sediment Trap/Central Arabian Sediment Trap; Western Arabian Sediment Trap/Southern Arabian Sediment Trap; Western Arabian Sediment Trap-Kuppe; Western Arabian Sediment Trap Plain; Western Arabian Sediment Trap Top
    Type: Dataset
    Format: application/zip, 57 datasets
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  • 84
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kurbjeweit, Frank; Schmiedl, Gerhard; Schiebel, Ralf; Hemleben, Christoph; Pfannkuche, Olaf; Wallmann, Klaus; Schäfer, Priska (2000): Distribution, biomass and diversity of benthic foraminifera in relation to sediment geochemistry in the Arabian Sea. Deep Sea Research Part II: Topical Studies in Oceanography, 47(14), 2913-2955, https://doi.org/10.1016/S0967-0645(00)00053-9
    Publication Date: 2024-04-18
    Description: The distribution, biomass, and diversity of living (Rose Bengal stained) deep-sea benthic foraminifera (〉30 µm) were investigated with multicorer samples from seven stations in the Arabian Sea during the intermonsoonal periods in March and in September/October, 1995. Water depths of the stations ranged between 1916 and 4425 m. The distribution of benthic foraminifera was compared with dissolved oxygen, % organic carbon, % calcium carbonate, ammonium, % silica, chloroplastic pigment equivalents, sand content, pore water content of the sediment, and organic carbon flux to explain the foraminiferal patterns and depositional environments. A total of six species-communities comprising 178 living species were identified by principal component analysis. The seasonal comparison shows that at the western stations foraminiferal abundance and biomass were higher during the Spring Intermonsoon than during the Fall Intermonsoon. The regional comparison indicates a distinct gradient in abundance, biomass, and diversity from west to east, and for biomass from north to south. Highest values are recorded in the western part of the Arabian Sea, where the influence of coastal and offshore upwelling are responsible for high carbon fluxes. Estimated total biomass of living benthic foraminifera integrated for the upper 5 cm of the sediment ranged between 11 mg Corg m**-2 at the southern station and 420 mg Corg m**-2 at the western station. Foraminifera in the size range from 30 to 125 ?m, the so-called microforaminifera, contributed between 20 and 65% to the abundance, but only 3% to 28% to the biomass of the fauna. Highest values were found in the central and southern Arabian Sea, indicating their importance in oligotrophic deep-sea areas. The overall abundance of benthic foraminifera is positively correlated with oxygen content and pore volume, and partly with carbon content and chloroplastic pigment equivalents of the sediment. The distributional patterns of the communities seem to be controlled by sand fraction, dissolved oxygen, calcium carbonate and organic carbon content of the sediment, but the critical variables are of different significance for each community.
    Keywords: 110, M31/3_MC376, WAST; 581, NAST; 621, WAST-T; 622, WAST; 640, CAST; 661, EAST; 666, SAST; Arabian Sea; BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Central Arabian Sediment Trap; Eastern Arabian Sediment Trap; M31/3; M31/3_111#1,GeoB3007-3,WAST-T; M31/3_111#2,GeoB3008-5,WAST-Flank; M31/3_MC-08; M31/3_MC-11; M31/3-110.4_MC1; M33/1; M33/1_MC-03; M33/1_MC-13; M33/1_MC-15; M33/1_MC-19; M33/1_MC-25; M33/1_MC-30; Meteor (1986); MUC; MultiCorer; Northern Arabian Sediment Trap; Southern Arabian Sediment Trap; Western Arabian Sediment Trap
    Type: Dataset
    Format: application/zip, 33 datasets
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  • 85
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Schiebel, Ralf; Hemleben, Christoph (2000): Interannual variability of planktic foraminiferal populations and test flux in the eastern North Atlantic Ocean (JGOFS). Deep Sea Research Part II: Topical Studies in Oceanography, 47(9-11), 1809-1852, https://doi.org/10.1016/S0967-0645(00)00008-4
    Publication Date: 2024-04-18
    Description: Planktic foraminiferal assemblages vary in response to seasonal fluctuations of hydrographic properties, between water masses, and after periodical changes and episodic events (e.g. reproduction, storms). Distinct annual variability of the planktic foraminiferal flux is also known from sediment trap data. In this paper we discuss the short-term impacts on interannual flux rates based on data from opening-closing net hauls obtained between the ocean surface and 500 m water depth. Data were recorded during April, May, June, and August at around 47°N, 20°W (BIOTRANS) in 1988, 1989, 1990, 1992, 1993, and during May 1989 and 1992 at 57°N, 20-22°W. Species assemblages closely resemble each other when comparing the mixed layer fauna with the fauna of the upper 100 m and the upper 500 m of the water column. In addition, species assemblages 〉100 µm are almost indistinguishable from assemblages that are 〉125 µm in test size. The standing stock of planktic foraminifers at BIOTRANS can vary by more than one order of magnitude over different years; however, species assemblages may be similar when comparing corresponding seasons. Early summer assemblages (June) are distinctly different from late summer assemblages (August). Significant variations in the species composition during spring (April/May) are independent of the mixed layer depth. Spring assemblages are characterized by high numbers of Globigerinita glutinata. In particular, day-to-day variations of the number of specimens and in species composition may have the same order of magnitude as interannual variations. This appears to be independent of the reproduction cycle. Species assemblages at 47°N and 57°N are similar during spring, although surface water temperatures and salinities differ by up to 10°C and 0.7 (PSU). We suggest that the main factors controlling the planktic foraminiferal fauna are the trophic properties in the upper ocean productive layer. Planktic foraminiferal carbonate flux as calculated from assemblages reveals large seasonal variations, a quasi-annual periodicity in flux levels, and substantial differences in timing and magnitude of peak fluxes. At the BIOTRANS station, the average annual planktic foraminiferal CaCO3 fluxes at 100 and 500 m depth are estimated to be 22.4 and 10.0 g/m**2/yr, respectively.
    Keywords: 102; 111; 129; 148; 158; 164; 167; 172; 173; 176; 177; 1781; 181; 187; 188; 199; 204; 211; 219; 224; 225; 227; 228; 230; 231; 247; 25; 250; 277; 285; 286; 289; 292; 30; 301; 302; 306; 309; 311; 314; 319; 320; 322; 323; 324; 325; 327; 328; 351; 357; 367; 373; 374; 381; 389; 390; 396; 407; 430; 437; 440; 445; 45; 452; 455; 460; 463; 475; 481; 485; 487; 492; 499; 52; 553; 562; 569; 77; 80; 87; 887; 895; 896; 899; 900; 901; 92; 96; 99; Aegir Ridge; Arquipelago; Azores front; Bear Island; Biotrans; FCA97; FCA97C_MSN1339; FCA97C_MSN1340; FCA97C_MSN1343; FCA97C_MSN1344; FCA97C_MSN1345; FCA97C_MSN1346; GeoTü; GIK/IfG; Institute for Geosciences, Christian Albrechts University, Kiel; JGOFS; Joint Global Ocean Flux Study; Lofoten Basin; M10/2; M10/2_MSN218; M10/2_MSN219; M10/2_MSN229; M10/2_MSN231; M10/2_MSN232; M10/2_MSN234; M10/2_MSN238; M10/2_MSN251; M10/2_MSN261; M10/2_MSN262; M10/2_MSN265; M10/2_MSN268; M10/2_MSN284; M10/2_MSN295; M10/2_MSN297; M10/2_MSN298; M10/2_MSN315; M10/2_MSN317; M10/2_MSN319; M10/2_MSN322; M10/2_MSN332; M10/2_MSN334; M11/1; M11/1_MSN517; M11/1_MSN520; M11/1_MSN522; M11/1_MSN524; M11/1_MSN526; M11/1_MSN528; M12/3; M12/3_MSN533; M12/3_MSN535; M12/3_MSN536; M12/3_MSN538; M12/3_MSN541; M12/3_MSN543; M12/3_MSN545; M12/3_MSN547; M12/3_MSN557; M12/3_MSN558; M12/3_MSN559; M12/3_MSN560; M12/3_MSN561; M12/3_MSN562; M21/1; M21/1_MSN603; M21/1_MSN604; M21/1_MSN605; M21/1_MSN606; M21/1_MSN607; M21/1_MSN608; M21/1_MSN609; M21/1_MSN610; M21/1_MSN611; M21/1_MSN613; M21/1_MSN614; M21/1_MSN615; M21/1_MSN619; M21/1_MSN620; M21/2; M21/2_MSN624; M21/2_MSN627; M21/2_MSN628; M21/2_MSN629; M21/2_MSN638; M21/2_MSN639; M21/2_MSN640; M21/2_MSN641; M21/2_MSN642; M21/2_MSN643; M21/2_MSN644; M21/2_MSN647; M21/2_MSN648; M21/2_MSN649; M21/2_MSN650; M21/2_MSN651; M21/2_MSN652; M21/2_MSN656; M21/2_MSN657; M21/2_MSN658; M21/3; M21/3_MSN661; M21/3_MSN662; M21/3_MSN663; M21/3_MSN671; M21/3_MSN674; M21/3_MSN675; M21/3_MSN676; M21/3_MSN687; M21/3_MSN688; M21/4; M21/4_MSN694; M21/4_MSN695; M21/4_MSN696; M21/4_MSN697; M21/4_MSN698; M21/4_MSN699; M21/4_MSN700; M21/4_MSN701; M21/4_MSN702; M21/4_MSN703; M21/4_MSN704; M21/4_MSN705; M21/4_MSN706; M21/4_MSN707; M21/4_MSN710; M21/4_MSN711; M21/4_MSN712; M21/4_MSN713; M21/4_MSN714; M21/4_MSN715; M21/4_MSN716; M21/4_MSN717; M21/4_MSN718; M21/4_MSN719; M21/4_MSN720; M21/4_MSN721; M21/4_MSN722; M21/4_MSN723; M21/4_MSN724; M21/5; M21/5_MSN728; M21/5_MSN729; M21/5_MSN730; M21/5_MSN731; M21/5_MSN732; M21/5_MSN733; M21/5_MSN734; M21/5_MSN735; M21/5_MSN736; M21/5_MSN739; M21/5_MSN740; M21/5_MSN741; M21/5_MSN742; M21/5_MSN743; M21/6; M21/6_MSN766; M21/6_MSN767; M21/6_MSN768; M21/6_MSN776; M21/6_MSN777; M21/6_MSN778; M21/6_MSN784; M21/6_MSN785; M21/6_MSN786; M21/6_MSN787; M21/6_MSN788; M21/6_MSN789; M26/1; M26/1_MSN843; M26/1_MSN844; M26/1_MSN845; M27/2; M27/2_MSN879; M27/2_MSN882; M27/2_MSN883; M27/2_MSN884; M36/2; M36/2_MSN1107; M36/6; M36/6_MSN1193; M36/6_MSN1194; M36/6_MSN1195; M36/6_MSN1196; M36/6_MSN1197; M36/6_MSN1198; M42/3; M42/3_MSN1359; M42/3_MSN1360; M42/3_MSN1361; M42/3_MSN1362; M42/3_MSN1363; M42/3_MSN1364; M42/3_MSN1365; M42/3_MSN1366; M42/3_MSN1367; M42/3_MSN1368; M42/3_MSN1369; M42/3_MSN1370; M6/7; M6/7_MSN100; M6/7_MSN116; M6/7_MSN119; M6/7_MSN125; M6/7_MSN137; M6/7_MSN140; M6/7_MSN148; M6/7_MSN150; M6/7_MSN91; M6/7_MSN95; M6/7_MSN96; Madeira Basin; Meteor (1986); MSN; Multiple opening/closing net; NE Atlantic; North Atlantic; Northeast Atlantic; Norwegian Sea; Paleoceanography at Tübingen University; PO200F; POS200/6; POS200/6_MSN837; POS231/3; POS231/3_MSN1329; POS231/3_MSN1330; POS231/3_MSN1331; POS231/3_MSN1332; POS231/3_MSN1333; POS231/3_MSN1334; POS231/3_MSN1335; POS231/3_MSN1336; POS231/3_MSN1337; POS231/3_MSN1338; POS247; POS247/2_MSN1371; POS247/2_MSN1372; POS247/2_MSN1373; POS247/2_MSN1374; POS247/2_MSN1375; POS247/2_MSN1376; POS247/2_MSN1377; POS247/2_MSN1378; POS247/2_MSN1379; POS247/2_MSN1380; POS247/2_MSN1381; POS247/2_MSN1382; POS247/2_MSN1383; POS247/2_MSN1384; POS247/2_MSN1385; POS247/2_MSN1386; POS247/2_MSN1387; POS247/2_MSN1388; POS247/2_MSN1389; POS247/2_MSN1390; POS247/2_MSN1391; Poseidon; Rockall Plateau
    Type: Dataset
    Format: application/zip, 153 datasets
    Location Call Number Expected Availability
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  • 86
    Publication Date: 2024-04-18
    Keywords: 325; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M12/3; M12/3_MSN547; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Northeast Atlantic; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 282 data points
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  • 87
    Publication Date: 2024-04-18
    Keywords: 357; Beella digitata; Berggrenia pumilio; Biotrans; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M21/6; M21/6_MSN768; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1504 data points
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  • 88
    Publication Date: 2024-04-18
    Keywords: 373; Beella digitata; Berggrenia pumilio; Biotrans; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M21/6; M21/6_MSN777; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1880 data points
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2024-04-18
    Keywords: 389; Beella digitata; Berggrenia pumilio; Biotrans; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M21/6; M21/6_MSN784; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1880 data points
    Location Call Number Expected Availability
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  • 90
    Publication Date: 2024-04-18
    Keywords: 389; Beella digitata; Berggrenia pumilio; Biotrans; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M21/6; M21/6_MSN786; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1504 data points
    Location Call Number Expected Availability
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  • 91
    Publication Date: 2024-04-18
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M6/7; M6/7_MSN140; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 376 data points
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  • 92
    Publication Date: 2024-04-18
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M6/7; M6/7_MSN137; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1880 data points
    Location Call Number Expected Availability
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  • 93
    Publication Date: 2024-04-18
    Keywords: 367; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M12/3; M12/3_MSN558; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Northeast Atlantic; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1410 data points
    Location Call Number Expected Availability
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  • 94
    Publication Date: 2024-04-18
    Keywords: 374; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M12/3; M12/3_MSN559; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Northeast Atlantic; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1410 data points
    Location Call Number Expected Availability
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  • 95
    Publication Date: 2024-04-18
    Keywords: 374; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M12/3; M12/3_MSN560; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Northeast Atlantic; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 846 data points
    Location Call Number Expected Availability
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  • 96
    Publication Date: 2024-04-18
    Keywords: 381; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; Gallitellia vivans; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella calida; Globigerinella digitata; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotalia ungulata; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS; Joint Global Ocean Flux Study; M12/3; M12/3_MSN561; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Northeast Atlantic; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Sphaeroidinella dehiscens; Streptochilus globigerum; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1410 data points
    Location Call Number Expected Availability
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  • 97
    Publication Date: 2024-04-18
    Keywords: ANT-III/2; ANT-VII/5; Atlantis II (1963); BATS; BI-2; BIGSET-1; BIGSET-2/JGOFS-IN-4; Calcium carbonate, flux; Canary Islands; CB1_trap; CB2_trap; CB3_trap; CB4_trap; CI1; CI1_trap; CI10; CI10_trap; CI11; CI11_trap; CI2; CI2_trap; CI3; CI3_trap; CI4; CI4_trap; CI5; CI5_trap; CI6; CI6_trap; CI7; CI7_trap; CI8; CI8_trap; CI9; CI9_trap; compiled data; DATE/TIME; DEPTH, water; EA1_trap; EA2_trap; EA3_trap; EA4_trap; EA5_trap; EBC2; EBC2-1_trap; Event label; GBN3_trap; GBN6_trap; GBZ4_trap; GBZ5_trap; Guinea Basin; IOS_trap_G3; IOS_trap_G4; IOS_trap_J1; IOS_trap_J2; IOS_trap_NJ1; IOS_trap_NJ2; IOS_trap_O3; IOS_trap_O4; IOS_trap_O5; IOS_trap_O6; IOS_trap_S3; IOS_trap_S4; Jan-Mayen Current; John P. Tully; KG1_trap; Latitude of event; Lofoten Basin; Longitude of event; LP1; LP1_trap; M12/1; M16/1; M16/2; M22/1; M6/6; M9/4; Meteor (1986); MOOR; Mooring; Mooring (long time); MOORY; N34-Phase_I; N34-Phase_II; N48-Phase_I; N48-Phase_II; NABE-Mooring; NABE-N34.1; NABE-N34.2; NABE-N48.1; NABE-N48.2; NB6; Northern Guinea Basin; OE90/3; OE90/4; OG4; OG5; ORFOIS; Origin and Fate of Biogenic Particle Fluxes in the Ocean; Polarstern; PS06; PS14; Sargasso Sea; see reference(s); SFB313Moorings; SO118; SO118_ST-01; SO118_ST-01_d; SO118_ST-03; SO118_ST-03_d; SO118_ST-04; SO118_ST-04_d; SO118_ST-05; SO118_ST-05_d; SO129; SO129_ST-01; SO129_ST-01_d; SO129_ST-02a; SO129_ST-03; SO129_ST-03_d; SO129_ST-04; SO129_ST-04_d; SO129_ST-05; Sonne; South Atlantic Ocean; Southwest Guinea Basin; Trap; TRAP; Trap, sediment; TRAPS; TUL94/31; TUL95/30; TUL95/7; TUL96/8; WA1_trap; WA2_trap; Walvis Ridge, Southeast Atlantic Ocean; WR1_trap; WR2_trap; WR3_trap; WR4_trap; WS3_trap; WS4_trap
    Type: Dataset
    Format: text/tab-separated-values, 1643 data points
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2024-04-18
    Keywords: 4#2; Ammonium; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Biogeochemical flux in the deep sea; Carbon, organic, total; DEPTH, sediment/rock; Element analyser CHN; GEOMARFLUX; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Manganese; MUC; MultiCorer; Nitrate; Phosphate; Silicate; SO118; SO118_MC-04; Sonne; Spectrophotometry; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 133 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2024-04-18
    Keywords: 24#1; Ammonium; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Biogeochemical flux in the deep sea; Carbon, organic, total; DEPTH, sediment/rock; Element analyser CHN; GEOMARFLUX; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Manganese; MUC; MultiCorer; Nitrate; Phosphate; Silicate; SO118; SO118_MC-14; Sonne; Spectrophotometry; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 89 data points
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2024-04-18
    Keywords: 50#4; Ammonium; BIGSET; BIGSET-1; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Biogeochemical flux in the deep sea; Carbon, organic, total; DEPTH, sediment/rock; Element analyser CHN; GEOMARFLUX; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Manganese; MUC; MultiCorer; Nitrate; Phosphate; Silicate; SO118; SO118_MC-31; Sonne; Spectrophotometry; Western Arabian Sediment Trap
    Type: Dataset
    Format: text/tab-separated-values, 118 data points
    Location Call Number Expected Availability
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