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  • Data  (188)
  • 2020-2022  (136)
  • 1955-1959  (52)
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  • 1
    Publication Date: 2023-07-09
    Keywords: Abra antwerpiensis; Acamptpgenotia escheri; Acera bellardii; Acirsa lanceolata; Aclaeon inflatus; Actaeonidea terebelloides; Actaeon semistriatus; Admete fusiformis; Alvania antwerpiensis; Alvania belgica; Amusium woodi; Anadara diluvii; Anadara suessi; Ancilla obsoleta; Ancistrosyrinx cometi; Angulus fallax; Angulus posterus; Anomia epphippium; Aphinotoma debilis; Aporrhais alata; Aporrhais speciosa margerini; Aquilofusus beyrichi; Aquilofusus oppenheimi; Aquilofusus virgineus; Arca pectunculoides; Architectonica carocollatum; Architectonica simplex; Astarle triangularis; Astarte goldfussi; Astarte gracilis; Astarte pygmaea; Astarte radiata; Astenotoma pannus; Asthenotoma basteroti; Asthenotoma colus; Asthenotoma festiva; Asthenotoma pannoides; Aturia aturi; Bathytoma cataphracta; Bathytoma mioturbida; Bittium spina; Borsonia uniplicata; Cadulus gadus; Calliostoma laureatum; Calliostoma muelleri; Calyptraea chinensis; Cancellaria aperta; Cancellaria behmi; Cancellaria beyrichi; Cancellaria calais; Cancellaria cancellata praecedens; Cancellaria contorta; Cancellaria mitraeformis parvula; Cancellaria umbilicaris pluricostata; Cancellaria varicosa; Capulus striatulus; Capulus ungaricus; Cardita chamaeformis; Cardita squamulosa; Cardium danubianum; Cardium hanseatum; Cardium papillosum; Cardium straeleni; Cerithella genei; Cerithiopsis subsoluta; Chama gryphaeoides; Chlamys angelonii; Chlamys edegemensis; Chlamys ercolanianus; Chlamys lilli; Chlamys radians; Chlamys spinulosus duwelzi; Chlamys tigerinus; Chrysallida pygmaea; Cingula proxima; Circulus hennei; Circulus praecedens; Circulus striatus; Clavatula boreointerrupta; Clavatula boreoromana; Clavatula hemmoorensis; Clavatula obliquiplicatula; Clavatula olgae; Clavus bicingulatus; Clavus borealis; Clavus diensti; Clavus hannoveranus; Clavus obtusangulus; Clavus selenkae; Clavus terebra intermedia; Conus dujardini; Corbula basteroti; Corbula gibba; Corbulamya donaciformis; Crepidula cvepidula; Cuspidaria costellata; Cuspidaria cuspidata; Cylichna cylindracea; Cymatium tarbellianum; Daphnella anceps; Daphnella grippi; Daphnella rappardi; Daphnella scabra; Daphnella zetes; Dentalium dollfussi; Dentalium entale; Dentalium michelotti; Dentalium novemcostatum mutabile; Dentalium vitreum; Distorsio tortuosum; Donax intermedius; Dorsanum boreobaccatum; Dosinia basteroti; Ensis ensis; Ervilia pusilla; Erycina degrangii; Eulimella acicula; Eulimella hoernesi; Eulimella neumayri; Exilia contigua; Genota ramosa elisae; Genota ramosa parvicarinata; Globularia compressa; Glycimeris pilosa; Gouldia minima; Haedropleura maitreja; Hydrobia antwerpiensis; Isocardia lunulata; Isocardia punctata; Laevicardium cyprium; Lathyrus rothi; Leda emarginata; Leda pygmaea; Leda westendorpi; Lepton transversarium; Lienardia boehmi; Lienardia elatior; Lienardia luisae; Lienardia textilis; Lima subauriculata; Limopsis aradasi; Limopsis aurita; Limopsis lamellata; Liomesus pompeckyi; Lucina fragilis; Lutetia nitida; Mangilia g¸richi; Mangilia miorugulosa; Mangilia roemeri; Mangilia tenella; Martesia rugosa; Melanella lactea; Melanella polita; Mitra bellardii; Mitra grateloupi; Mitra planicosta; Modiolus phaseolinus; Momtacuta truncata; Montacuta coarctata; Murex delbosianus scalariformis; Murex inornatus; Murex nysti; Murex spinicosta; Musculus sp.; Mytilus fuscus; Nassa cavata; Nassa cymbrica; Nassa facki; Nassa holsatica; Nassa polsensis; Nassa prismatica; Nassa schroederi; Nassa scklotheimi; Nassa serraticosta; Nassa tenuistriata; Nassa tumida crassispiralis; Nassa turbinella; Natica beyrichi; Natica hayiseata; Niso terebellum acarinatoconica; Nucula haesendoncki; Nucula jeffreysi; Nucula laevigata; Nucula nucleus; Odostomia conoidea; Oliva dufresnei procera; Opalia pertusa; Opalia straeleni; Opalia torulosa perconica; Ostrea cochlear; Ostrea digitalina; Pandora inaequivalvis; Panopaea menardi; Pecten brummeIi; Pecten subbenedictus; Peratotoma hosiusi; Phacoides borealis; Phacoides dentatus laevigatas; Phacoides droueti; Phalium bicoronatum; Phalium miolaevigatum; Philbertia reticulata; Phos decussatus; Pinna pectinata; Pirula condita; Pirula simplex; Pitar chionoides; Pitar cimbrica; Pitar incrassata nysti; Pitar rudis; Polynices catena helicina; Polynices catena johannae; Polynices miopusilla; Polynices olla; Polynices submamillaris dertomamilla; Polynices varians protractus; Potamides tricinctus; Pteria phalaenacea; Pyramidella plicosa; Pyrene corrugata; Pyrene nassoides; Pyrgulina cimbrica; Raphitoma plicatella; Retusa elongata; Retusa truncatula; Ringicula auriculata buccinea; Ringicula auriculata ventricosa; Ringicula costata; Sabatia utricula; Sample comment; Sandbergeria wolffi; Saxicava arctica; Scacchia cimbrica; Scala amoena subreticula; Scala crassicostata; Scala crebricostellata; Scala frondicula; Scala procomitalis; Scala sallomacensis nordica; Scala weyersi; Scaphander grateloupi; Scaphella bolli; Schleswig-Holstein, Germany; Scurria compressiuscula; Seila trilineata; S-H; Sigaretus aquensis deshayesi; Sipho grippi; Solariella miosuturalis; Solariella straeleni; Solariella tournoueri; Solenocurtus basteroti; Spiratella atlanta; Spisula subtruncata triangula; Streptochetus sexcostatus; Strombiformis taurinensis; Taras trigonulus; Teinostoma hanseata; Terebra acuminata; Terebra basteroti; Terebra hoernesi; Terebra neglecta; Thapsiella costulata; Thracia ventricosa; Thyasira flexuosa; Tornus dollfussi; Triphora fritschi; Trophon vaginatus semperi; Turbonilla amoena; Turbonilla densecostata; Turbonilla elegantissima gastaldi; Turbonilla miomutinensis; Turbonilla miostriatula edegemensis; Turbonilla pseudoauricula; Turbonilla pseudoterebralis; Turricula steinvorthi; Turris boreoturricula; Turris coronata; Turris denticula borealis; Turris duchasteli flexiplicata; Turris inermis; Turris stoffelsi; Turris zimmermanni; Turritella eryna; Turritella geinitzi; Turritella subangulata; Typhis fistulosus; Vaginella depressa; Venus multilamella; Venus ovata; Vermetus intortus woodi; Vexillum aciculum; Vexillum cimbricum; Volvula acuminata; Xenophora deshayesi; Yoldia glaberrima
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
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  • 2
    Publication Date: 2023-07-09
    Keywords: Acamptogenotia straeleni; Admete subangulosa; Anadara diluvii; Aporrhais alata; Aquilofusus semiglaber; Arca pectunculoides; Astarte fusca; Astarte reimersi; Astarte waeli; Asthenotoma festiva; Bathytoma cataphracta; Bathytoma mioturbida; Cancellaria rothi; Cardita orbicularis; Cardium papillosum; Chlamys radians; Clavus obeliscus; Clavus obtusangulus; Clavus staringi; Conus antediluvianus; Corbula gadus; Corbula gibba; Counting; Cylichna cylindracea; Drillia modiola; Gauss-Krueger Hochwert; Gauss-Krueger Rechtswert; Gauss-Krueger Streifen; Isocardia forchhammeri; Leda pygmaea; Mangelia sp.; Murex spinicosta; Nassa prismatica; Nassa syltensis; Natica koeneni; Nucula jeffreysi; Nucula laevigata; Phalium miolaevigatum; Philbertia reticulata; Pyramidella plicosa; Pyrene nassoides; Ringicula auriculata; Sabatia utricula; Sample ID; Scala frondicula; Schleswig-Holstein, Germany; Sipho distinctus; Spisula subtruncata triangula; Streptochetus sexcostatus; Terebra forchhammeri; Trophon vaginatus semperi; Turbonilla densecostata; Turris annae; Turris aquensis; Turris badensis; Turris helena; Turritella tricarinata; Turritella triplicata; Typhis fistulosus; Uetersen; Venus multilamella; Xenophora testigera; Yoldia glaberrima
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2023-07-09
    Keywords: Abra antwerpiensis; Acamptpgenotia escheri; Acera bellardii; Acirsa lanceolata; Aclaeon inflatus; Actaeonidea terebelloides; Actaeon semistriatus; Admete fusiformis; Alvania antwerpiensis; Alvania belgica; Amusium woodi; Anadara diluvii; Anadara suessi; Ancilla obsoleta; Ancistrosyrinx cometi; Angulus fallax; Angulus posterus; Anomia epphippium; Aphinotoma debilis; Aporrhais alata; Aporrhais speciosa margerini; Aquilofusus beyrichi; Aquilofusus oppenheimi; Aquilofusus virgineus; Arca pectunculoides; Architectonica carocollatum; Architectonica simplex; Astarle triangularis; Astarte goldfussi; Astarte gracilis; Astarte pygmaea; Astarte radiata; Astenotoma pannus; Asthenotoma basteroti; Asthenotoma colus; Asthenotoma festiva; Asthenotoma pannoides; Aturia aturi; Bathytoma cataphracta; Bathytoma mioturbida; Behrendorf; Bittium spina; Borsonia uniplicata; Cadulus gadus; Calliostoma laureatum; Calliostoma muelleri; Calyptraea chinensis; Cancellaria aperta; Cancellaria behmi; Cancellaria beyrichi; Cancellaria calais; Cancellaria cancellata praecedens; Cancellaria contorta; Cancellaria mitraeformis parvula; Cancellaria umbilicaris pluricostata; Cancellaria varicosa; Capulus striatulus; Capulus ungaricus; Cardita chamaeformis; Cardita squamulosa; Cardium danubianum; Cardium hanseatum; Cardium papillosum; Cardium straeleni; Cerithella genei; Cerithiopsis subsoluta; Chama gryphaeoides; Chlamys angelonii; Chlamys edegemensis; Chlamys ercolanianus; Chlamys lilli; Chlamys radians; Chlamys spinulosus duwelzi; Chlamys tigerinus; Chrysallida pygmaea; Cingula proxima; Circulus hennei; Circulus praecedens; Circulus striatus; Clavatula boreointerrupta; Clavatula boreoromana; Clavatula hemmoorensis; Clavatula obliquiplicatula; Clavatula olgae; Clavus bicingulatus; Clavus borealis; Clavus diensti; Clavus hannoveranus; Clavus obtusangulus; Clavus selenkae; Clavus terebra intermedia; Conus dujardini; Corbula basteroti; Corbula gibba; Corbulamya donaciformis; Crepidula cvepidula; Cuspidaria costellata; Cuspidaria cuspidata; Cylichna cylindracea; Cymatium tarbellianum; Daphnella anceps; Daphnella grippi; Daphnella rappardi; Daphnella scabra; Daphnella zetes; Dentalium dollfussi; Dentalium entale; Dentalium michelotti; Dentalium novemcostatum mutabile; Dentalium vitreum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Distorsio tortuosum; Donax intermedius; Dorsanum boreobaccatum; Dosinia basteroti; Ensis ensis; Ervilia pusilla; Erycina degrangii; Eulimella acicula; Eulimella hoernesi; Eulimella neumayri; Event label; Exilia contigua; Gauss-Krueger Hochwert; Gauss-Krueger Rechtswert; Gauss-Krueger Streifen; Genota ramosa elisae; Genota ramosa parvicarinata; Globularia compressa; Glycimeris pilosa; Gouldia minima; Großenwiehe; Haedropleura maitreja; Hydrobia antwerpiensis; Isocardia lunulata; Isocardia punctata; Laevicardium cyprium; Lathyrus rothi; Leda emarginata; Leda pygmaea; Leda westendorpi; Lepton transversarium; Lienardia boehmi; Lienardia elatior; Lienardia luisae; Lienardia textilis; Lima subauriculata; Limopsis aradasi; Limopsis aurita; Limopsis lamellata; Liomesus pompeckyi; Lucina fragilis; Lutetia nitida; Mangilia g¸richi; Mangilia miorugulosa; Mangilia roemeri; Mangilia tenella; Martesia rugosa; Melanella lactea; Melanella polita; Mitra bellardii; Mitra grateloupi; Mitra planicosta; Modiolus phaseolinus; Momtacuta truncata; Montacuta coarctata; Murex delbosianus scalariformis; Murex inornatus; Murex nysti; Murex spinicosta; Musculus sp.; Mytilus fuscus; Nassa cavata; Nassa cymbrica; Nassa facki; Nassa holsatica; Nassa polsensis; Nassa prismatica; Nassa schroederi; Nassa scklotheimi; Nassa serraticosta; Nassa tenuistriata; Nassa tumida crassispiralis; Nassa turbinella; Natica beyrichi; Natica hayiseata; Niso terebellum acarinatoconica; Nucula haesendoncki; Nucula jeffreysi; Nucula laevigata; Nucula nucleus; Odderade; Odostomia conoidea; Oliva dufresnei procera; Opalia pertusa; Opalia straeleni; Opalia torulosa perconica; Ostrea cochlear; Ostrea digitalina; Oxlund; Pandora inaequivalvis; Panopaea menardi; Pecten brummeIi; Pecten subbenedictus; Peratotoma hosiusi; Phacoides borealis; Phacoides dentatus laevigatas; Phacoides droueti; Phalium bicoronatum; Phalium miolaevigatum; Philbertia reticulata; Phos decussatus; Pinna pectinata; Pirula condita; Pirula simplex; Pitar chionoides; Pitar cimbrica; Pitar incrassata nysti; Pitar rudis; Polynices catena helicina; Polynices catena johannae; Polynices miopusilla; Polynices olla; Polynices submamillaris dertomamilla; Polynices varians protractus; Potamides tricinctus; Pteria phalaenacea; Pyramidella plicosa; Pyrene corrugata; Pyrene nassoides; Pyrgulina cimbrica; Raphitoma plicatella; Retusa elongata; Retusa truncatula; Ringicula auriculata buccinea; Ringicula auriculata ventricosa; Ringicula costata; Sabatia utricula; Sample ID; Sandbergeria wolffi; Saxicava arctica; Scacchia cimbrica; Scala amoena subreticula; Scala crassicostata; Scala crebricostellata; Scala frondicula; Scala procomitalis; Scala sallomacensis nordica; Scala weyersi; Scaphander grateloupi; Scaphella bolli; Schleswig-Holstein, Germany; Scurria compressiuscula; Seila trilineata; Sigaretus aquensis deshayesi; Sipho grippi; Solariella miosuturalis; Solariella straeleni; Solariella tournoueri; Solenocurtus basteroti; Spiratella atlanta; Spisula subtruncata triangula; Streptochetus sexcostatus; Strombiformis taurinensis; Suederhastedt; Taras trigonulus; Teinostoma hanseata; Terebra acuminata; Terebra basteroti; Terebra hoernesi; Terebra neglecta; Thapsiella costulata; Thracia ventricosa; Thyasira flexuosa; Tornus dollfussi; Triphora fritschi; Trophon vaginatus semperi; Turbonilla amoena; Turbonilla densecostata; Turbonilla elegantissima gastaldi; Turbonilla miomutinensis; Turbonilla miostriatula edegemensis; Turbonilla pseudoauricula; Turbonilla pseudoterebralis; Turricula steinvorthi; Turris boreoturricula; Turris coronata; Turris denticula borealis; Turris duchasteli flexiplicata; Turris inermis; Turris stoffelsi; Turris zimmermanni; Turritella eryna; Turritella geinitzi; Turritella subangulata; Typhis fistulosus; Vaginella depressa; Venus multilamella; Venus ovata; Vermetus intortus woodi; Vexillum aciculum; Vexillum cimbricum; Vioel; Volvula acuminata; Xenophora deshayesi; Yoldia glaberrima
    Type: Dataset
    Format: text/tab-separated-values, 3574 data points
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  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Niino, Hiroshi (1955): On a manganese nodule and Perotrochus beyrichii dredged from the banks near the Izu Islands. Records of Oceanographic works in Japan, 2(2), 120-126, hdl:10013/epic.47489.d001
    Publication Date: 2023-08-28
    Description: Manganese nodules have been found by the author in the shallow waters of the Hyotan-se bank west of Shikime-jima, an island of the Izu archipelago in the Sea of Japan. The slopes around the bank are steep and rocks are exposed; gravels and coarse material cover the broad and flat plain on its top; andesite and basalt, which are very common in the bedrock, are found mingled with liparite gravels together with a number of manganese concretions from the bank.
    Keywords: Dredge; DRG; Hakuho-Maru; HAM_1968-1976; JAPAN_B; Japan Sea; Niino_9; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Goldberg, Edward D; Arrhenius, Gustaf (1958): Chemistry of Pacific pelagic sediments. Geochimica et Cosmochimica Acta, 13(2-3), 153-212, https://doi.org/10.1016/0016-7037(58)90046-2
    Publication Date: 2023-08-28
    Description: The chemical and mineralogical composition of pelagic sediments from the East Pacific Ocean has been determined with the aim of defining the ultimate sources and the mechanisms of formation of the solid phases. The distribution of elements between sea-water, the pore solution and the various solid components of the sediments permits interpretations of the variations in time and space of the gross chemical composition of pelagic clays. For example, manganese, present in sea-water in a divalent form, is apparently oxidized at the sediment-water interface to tetravalent species which subsequently become a part of the group of ferromanganese oxide minerals which are found in the marine environment. It is suggested the rate of manganese accumulation in sediments is some function of the length of time the sediment surface is in contact with sea-water. The contribution of chemical species from the different geospheres is considered. The quantitative importance of pelagic clays in the major sedimentary cycle is studied on the basis of the distribution of the weathered igneous rock products between continental and pelagic deposits and sea-water. These analyses of a wide variety of pelagic clays allow a reformulation of the geochemical balance and it is concluded that pelagic clays account for approximately 13 per cent of the total mass of sediments produced over geologic time.
    Keywords: 08995002-SC11; Barium; Boron; Calcium; Chromium; Cobalt; Copper; DEPTH, sediment/rock; Description; Dredge; DRG; File name; Magnesium; Manganese; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Sample ID; San Clemente Basin, Pacific ocean; Strontium; Tin; Titanium; Uniform resource locator/link to image; Vanadium; X-ray microanalyzer analysis (XMA); Ytterbium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Tatsumoto, M; Goldberg, Edward D (1959): Some aspects of the marine geochemistry of uranium. Geochimica et Cosmochimica Acta, 17(3-4), 201-208, https://doi.org/10.1016/0016-7037(59)90094-8
    Publication Date: 2023-08-28
    Description: The uranium concentrations in marine calcareous material of a biological origin varied between 0.0X and 0.X p.p.m. with the exception of corals which had concentrations of several p.p.m. The aragonitic oolites and aragonite precipitated from sea-water had values similar to those of the corals. A geochronology based on the growth of ionium (thorium-230) from uranium is applicable not only to corals, as previous investigators have pointed out, but also to oolites. Several examples of "oolite ages" are given. The uranium content of ferromanganese minerals from pelagic deposits is of the order of from 4 to 5 p.p.m.
    Keywords: Atlantic Ocean; DEPTH, sediment/rock; DNWB0BBD; DNWB0BBD-047G; DNWB0BBD-052G; DOWNWIND-B2; DOWNWIND-H; Dredge; DRG; DWBG47; DWBG52; DWHD55; Event label; GC; Gravity corer; Horizon; Identification; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northern_Holiday; North-West Pacific Ocean; NTHL02HO-010PH; NTHL-10; Pacific Ocean; Spencer F. Baird; TH1; TH1-TR4; Theta; Uranium; Wired profile sonde; WP
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: SCRIPPS Institution of Oceanography (1957): MUKLUK Expedition, July-August, 1957: Cores and Dredge Samples. SIO Reference Series, 57-53, 6 pp
    Publication Date: 2023-08-28
    Description: The cores and dredges described are taken during the MUKLUK expedition of the R/V Spencer Baird in July-August 1957 by the Scripps Institute of Oceanography. A total of 31 cores and dredges were recovered and are available at Scripps Institute of Oceanography for sampling and study.
    Keywords: Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge, rock; DRG_R; Elevation of event; Event label; Latitude of event; Longitude of event; MKLK02BD; MKLK03BD-029D; MKLK03BD-030D; MUKLUK-B; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; Sample ID; Spencer F. Baird; Substrate type; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 8
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Lamont-Doherty Earth Observatory (1958): Drift Station Alpha - Descriptions of Cores. Lamont Geological Observatory, Columbia University, New York, unpublished
    Publication Date: 2023-08-28
    Description: The cores described were taken by the personnel of the Lamont-Doherty Earth Observatory (LDEO) on the Drift Station Alpha in the Arctic Ocean from August 1957 until June 1958. A total of 16 cores were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Arctic Ocean; Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; DSA-10; DSA-12; DSA-5; DSA-9; Elevation of event; Event label; GC; Gravity corer; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; Uniform resource locator/link to metadata file
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
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  • 9
    Publication Date: 2023-08-28
    Description: Deposits of manganese ore have been found in five of the six provinces of Cuba and have been reported from the sixth. Only Oriente and Pinar del Rio provinces have more than a few known deposits and only the deposits of Oriente have yielded any appreciable amount of ore. In this area the Cobre formation, of late Cretaceous(?) to middle Eocene age, overlies the Vinent formation but their stratigraphie relations are unknown. The Cobre overlies unconformably the Habana(?) formation. The Cobre formation consists of andesitic, basaltic, and dacitic tuff, agglomerate, and lavas with minor amounts of marine clastic and limestone deposits, and a prominent limestone bed, the Charco Redondo limestone member, at the top of the formation. All productive manganese deposits of Oriente are in the Cobre formation, usually within a few tens of meters above or below the base of the Charco Redondo limestone member.
    Keywords: Charco_Redondo_S; Comment; Cuba; Deposit type; DEPTH, sediment/rock; Description; Elevation of event; Event label; Guanaba_S; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Ponupo_S; Position; Quantity of deposit; Quinto_S; Sample ID; Sediment type; Size; Substrate type; Taratana_S
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
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  • 10
    Publication Date: 2023-08-28
    Description: Saipan, situated about 15° N. and 146° E., is one of the larger and more southerly of the Mariana Islands. The 15 small islands of this chain are strung along an eastwardly convex ridge for more than 400 miles north to south, midway between Honshu and New Guinea and about 1,200 miles east of the Philippines. Paralleling this ridge 60 to 100 miles further east is a deep submarine trench, beyond which lies the Pacific Basin proper. To the west is the Philippine Sea, generally deeper than 2,000 fathoms. The trench coincides with a zone of negative gravity anomalies, earthquake foci occur at increasing depths westward from it, and silica- and alumina-rich volcanic rocks characterize the emergent island chain itself. The contrast between these features and those of the Pacific Basin proper to the east is held to favor the conclusion that the Mariana island arc and trench define the structural and petrographic front of Asia.
    Keywords: Comment; Deposit type; DEPTH, sediment/rock; Description; Mariana Islands; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Papago_C; Position; Quantity of deposit; Sample ID; Sediment type; Size
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 11
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    Unknown
    PANGAEA
    In:  Supplement to: Jones, L H P; Milne, Angela A (1956): Birnessite, a new manganese oxide mineral from Aberdeenshire, Scotland. Mineralogical Magazine, 31(235), 283-288, https://doi.org/10.1180/minmag.1956.031.235.01
    Publication Date: 2023-08-28
    Description: A manganese pan near Birness contains grains of an optically uniaxial negative mineral near (Na0.7Ca0.3)Mn7O14·2·8H2O, giving an X-ray powder pattern similar to that of synthetic materials described as 'manganous manganite' and delta-MnO2. Material giving a similar pattern has been described from a natural occurrence in Canada, but no mineral name was assigned; the name birnessite is now proposed. The mineral is probably formed by air-oxidation of manganous oxides under alkaline conditions.
    Keywords: Aluminium oxide; Birness_J; Calcium oxide; Deposit type; DEPTH, sediment/rock; Description; Elevation of event; Iron oxide, Fe2O3; Latitude of event; Longitude of event; Manganese dioxide; Manganese oxide; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Sample ID; Scotland; Sediment type; Silicon dioxide; Sodium oxide; Titanium dioxide; Water in rock
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 12
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    In:  Supplement to: Dietz, Robert S (1955): Manganese deposits on the northeast Pacific sea floor. California Journal of Mines and Geology, 51(3), 209-220, https://archive.org/details/californiajourna53cali
    Publication Date: 2023-08-28
    Description: Sea floor dredging by the H.M.S. Challenger, the U.S.S. Albatross, the U.S.S. EPC(R) 857, and vessels of the Scripps Institution of Oceanography shows that extensive deposits of manganese nodules are on the deep sea floor and that crusts of manganese dioxide cover many seamounts. Sea floor photography reveals that in some places these crusts are quite continuous and the nodules are closely packed. These crusts and nodules are fully oxidized and hydrated mixtures of man¬ganese and iron plus earthy impurities. Also, relatively high concen¬trations of the trace elements nickel, copper, and cobalt are present.
    Keywords: DICH-SS; Dredge; Dredge, rock; DRG; DRG_R; Erben Seamount, Pacific Ocen; GOLDHW1; Horizon; MDPC02HO-MP-025F-2; MDPC02HO-MP-026A-3; MDPC02HO-MP-037A; MIDPAC; MPC-25F-2; MPC-26A-3; MPC-37A; NEL-667; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northern_Holiday; North-West Pacific Ocean; NTHL02HO-010PH; NTHL-10; NTHL-D1; NTHL-D7; Pacific Ocean; Sylvania Seamount, Pacific Ocean; Wired profile sonde; WP
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 13
    Publication Date: 2023-08-28
    Description: The Kara scientific expedition of 1945, using the fishing trawler M. Gorkiy and survey vessel Osetr, took sediment samples in the Kara Sea in addition to other oceanographic work. The investigations of sediments composition was compared with biological and hydrological data obtained in the same areas. The sediments sampled were subjected to mechanical, mineralogical, chemical and faunistic analyses. During this survey iron-manganese concretions were recovered.
    Keywords: Deposit type; DEPTH, sediment/rock; Description; EG; Ekman grab; Elevation of event; Event label; GORK45-10; GORK45-11; GORK45-14; GORK45-16; GORK45-17; GORK45-18; GORK45-19; GORK45-20; GORK45-21; GORK45-30; GORK45-32; GORK45-37; GORK45-39; GORK45-4; GORK45-7; GORK45-8; Gorkiy1945; Identification; Kara Sea; Latitude of event; Longitude of event; Maxim Gorkiy; Method/Device of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Peterson grab; PETG; Position; Quantity of deposit; Sediment type; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
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  • 14
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    In:  Supplement to: Hurley, RJ (1956): Expedition CHINOOK I, Lowering log, June-August 1956. University of California, Scripps Institution of Oceanography, Unpublished, hdl:10013/epic.46558.d001
    Publication Date: 2023-08-28
    Description: The cores described in this report were taken during the CHINOOK Expedition in July to August 1956 by the Scripps Institution of Oceanography from the R/V Spencer F. Baird. A total of 20 cores and dredges were recovered and are available at Scripps for sampling and study.
    Keywords: CHIN02BD; CHIN02BD-013GA; CHIN02BD-016G; CHIN0ABD-001G; CHIN0ABD-002G; CHIN0ABD-004G; CHIN0ABD-006G; CHIN0ABD-007G; CHINOOK; CHNK-13G; CHNK-16G; CHNK-18G; CHNK-1G; CHNK-2G; CHNK-4G; CHNK-6G; CHNK-7G; Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Elevation of event; Event label; GC; Gravity corer; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; Sample ID; Sediment type; Size; Spencer F. Baird; Substrate type; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 94 data points
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  • 15
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    In:  Supplement to: Bruun, Anton F (1959): General introduction to the reports and list of deep-sea stations. in: Galathea Report - Scientific Results of the Danish Deep Sea Expedition Round the World. 1950-1952, Danish Science Press, Copenhagen, Denmark, 7-48
    Publication Date: 2023-08-28
    Description: The Danish Expedition of the "Galathea II" around the world brought important results concerning the marine organisms in the deep sea. The "Galathea II" showed not only different organisms of the Abyssal but for the first time of the deepest trenches of the western Pacific. Anton Bruun coined the term Hadal for the region below the Abyssal under 6000 m. Although the "Galathea II" aimed to investigate new deep sea regions beside the routes of former expeditions and to widen the horizon of knowledge relating marine organisms the technical equipment and the methodological approach had partly been developed earlier. The expedition of the "Galathea II" is part of a long tradition of cruises such as that of the British "Challenger", the German "Valdivia" and the Swedish "Albatross" and especially the Danish cruises of the "Dana I" and "Dana II" which happened some years before.
    Keywords: Banda Sea; Comment; Core; CORE; Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Elevation of event; Event label; GAL_1950-1952_Denmark; Galathea; GALT-179; GALT-182; GALT-435; GALT-469; GALT-494; GALT-574; GALT-658; GALT-724; GC; Gravity corer; Indian Ocean; Latitude of event; Longitude of event; Method/Device of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Philippine Sea; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; Tasman Sea
    Type: Dataset
    Format: text/tab-separated-values, 73 data points
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  • 16
    Publication Date: 2023-08-28
    Description: The cores described in this report were taken on the DOWNWIND Expedition in October 1957 to February 1958 by the Scripps Institution of Oceanography from the R/V Spencer F. Baird and the R/V Horizon. A total of 201 cores and dredges were recovered and are available at Scripps for sampling and study.
    Keywords: Comment; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; DNWB0ABD; DNWB0ABD-002G; DNWB0ABD-003G; DNWB0ABD-007G; DNWB0ABD-015G; DNWB0ABD-016G; DNWB0ABD-017G; DNWB0ABD-018G; DNWB0ABD-019G; DNWB0BBD; DNWB0BBD-030GA; DNWB0BBD-030GB; DNWB0BBD-031G; DNWB0BBD-037G; DNWB0BBD-040G; DNWB0BBD-043G; DNWB0BBD-044G; DNWB0BBD-045G; DNWB0BBD-046G; DNWB0BBD-047G; DNWB0BBD-048G; DNWB0BBD-052G; DNWB0BBD-054G; DNWB0BBD-055G; DNWB0BBD-056G; DNWB0BBD-057GA; DNWB0BBD-057GB; DNWB0CBD; DNWB0DBD; DNWB0DBD-147GB; DNWH0AHO-0014H; DNWH0AHO-004H; DNWH0AHO-007H; DNWH0AHO-008TB; DNWH0BHO-031G; DNWH0BHO-034G; DNWH0DHO-092H; DOWNWIND-B1; DOWNWIND-B2; DOWNWIND-B3; DOWNWIND-B4; DOWNWIND-H; Dredge; DRG; DWBD1; DWBD2; DWBD4; DWBD5; DWBD7; DWBD8; DWBG122A-C; DWBG147B; DWBG15; DWBG16; DWBG17; DWBG18; DWBG19; DWBG2; DWBG3; DWBG30A; DWBG30B; DWBG31; DWBG37; DWBG40; DWBG43; DWBG44; DWBG45; DWBG46; DWBG47; DWBG48; DWBG52; DWBG54; DWBG55; DWBG56; DWBG57A; DWBG57B; DWBG-58; DWBG-59; DWBG7; DWH48; DWHD15; DWHD16; DWHD25; DWHD42; DWHD47; DWHD55; DWHD72; DWHG31; DWHG34; DWHH14; DWHH27; DWHH32; DWHH4; DWHH7; DWHH92; DWHT8B; Elevation of event; Event label; GC; Grab; GRAB; Gravity corer; Horizon; Identification; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; Sediment type; Size; Spencer F. Baird; Substrate type; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 669 data points
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  • 17
    Publication Date: 2023-08-28
    Description: The cores described in this list were taken on the THETA-1 (TH1) Expedition in June to September 1956 from the R/V Theta. A total of 19 cores and dredges were recovered and are archived at Scripps for sampling and study.
    Keywords: Atlantic Ocean; C-58; C-60; Comment; Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Event label; GC; Gravity corer; Identification; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sediment type; Size; TH1; TH1-57SCC; TH1-59SCC; TH1-TR4; TH1-TR6; TH1-TR7; Theta; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
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  • 18
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    In:  Supplement to: SCRIPPS Institution of Oceanography (1959): FANFARE Expedition 1959, List of cores and dredge samples copied from shipboard logs (R/V H. M. Smith and R/V Spencer F. Baird). Scripps Institution of Oceanography, UC San Diego, unpublished, 6 pp, https://www.ngdc.noaa.gov/mgg/geology/data/1599/15995003/15995003.pdf
    Publication Date: 2023-08-28
    Description: The cores described in this report were taken on the FANFARE Expedition in July 1959 by Scripps Institution of Oceanography from the R/V H. M. Smith and the R/V Spencer F. Baird. A total of 49 cores and dredges were recovered and are available at Scripps for sampling and study. The coring sites, all in the eastern tropical central Pacific.
    Keywords: Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge, chain bag; DRG_C; Elevation of event; Event label; FANB01BD; FANB01BD-024G; FANBD-20D; FANBD-24G; FANBD-25D; FANFARE-B; FANFARE-S; FANS01HMS; FANS01HMS-016G; FANS-16G; GC; Gravity corer; H.M. Smith; Latitude of event; Longitude of event; Method/Device of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; Sample ID; Size; Spencer F. Baird; Substrate type
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 19
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    In:  Supplement to: Bramlette, M; Faughn, James L; Hurley, RJ (1959): Anomalous sediment deposition on the flank of Eniwetok Atoll. Geological Society of America Bulletin, 70(12), 1549-1552, https://doi.org/10.1130/0016-7606(1959)70%5B1549:ASDOTF%5D2.0.CO;2
    Publication Date: 2023-08-28
    Description: Some short cores from the shelf at about 800-1000 fathoms on the southwest flank of Eniwetok Atoll penetrated Pliocene deposits with little to no later sediment cover. The Quaternary deposits include much coarse reef debris, particularly the fragments of algae such as Halimeda and other shallow-water material up to several millimeters in grain size, mixed with varying amounts of pelagic Foraminifera. The Pliocene sediments (one may be upper Miocene) are pure pelagic deposits of much finer grain size, consisting of coccoliths and pelagic Foraminifera with no admixture of reef material. Bottom photographs show areas of well-developed ripple marks in coarse sediment (C. J. Shipek, manuscript) apparently formed only in the areas with the veneer of post-Tertiary coarse sediments. A brown impregnation at the top and extending down as mottling for a few centimeters is also usual in the Tertiary sediment of the cores. This seems to consist of iron and manganese oxides and adds somewhat to the induration.
    Keywords: 10-J1268; 10-J1269; 10-J1270; 10-J1271; 10-J1272; 10-J1273; 10-J1274; 10-J1275; 11-J1276; 3-J1225; 3-J1226; 3-J1227; 3-J1228; 4-J1230; 4-J1231; 4-J1232; 4-J1233; 4-J1234; 4-J1235; 6-J1237; 6-J1238; 6-J1239; 6-J1240; 6-J1241; 6-J1242; 6-J1243; 6-J1244; 8-J1260; 8-J1261; 8-J1262; 8-J1263; 8-J1264; 8-J1265; 8-J1266; Comment; Core; CORE; Deposit type; DEPTH, sediment/rock; Description; Elevation of event; ENIW10PH-1268; ENIW10PH-1269; ENIW10PH-1270; ENIW10PH-1271; ENIW10PH-1272; ENIW10PH-1273; ENIW10PH-1274; ENIW10PH-1275; ENIW11PH-1276; ENIW20C; ENIW27C; ENIW3PH-1225; ENIW3PH-1226; ENIW3PH-1227; ENIW3PH-1228; ENIW4C; ENIW4PH-1230; ENIW4PH-1231; ENIW4PH-1232; ENIW4PH-1233; ENIW4PH-1234; ENIW4PH-1235; ENIW6PH-1237; ENIW6PH-1238; ENIW6PH-1239; ENIW6PH-1240; ENIW6PH-1241; ENIW6PH-1242; ENIW6PH-1243; ENIW6PH-1244; ENIW8PH-1260; ENIW8PH-1261; ENIW8PH-1262; ENIW8PH-1263; ENIW8PH-1264; ENIW8PH-1265; ENIW8PH-1266; ENIWETOK_Operation; Eniwetok Atoll, Central Pacific; Event label; H.M. Smith; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Photo/Video; Position; PV; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 341 data points
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  • 20
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    In:  Supplement to: Lamont-Doherty Earth Observatory (1959): Expedition VEMA 15. Lamont Geological Observatory, Columbia University, New York, unpublished, 26 pp, https://www.ngdc.noaa.gov/mgg/curator/data/vema/vm15/vm15_summary.pdf
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 15 Expedition from October 1958 until July 1959 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 410 cores and dredges were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Atlantic Ocean; Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Dredge; DRG; Elevation of event; Event label; Latitude of event; Longitude of event; Method/Device of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; TRAWL; Trawl net; V15; V15-003PD; V15-101; V15-119SBT; V15-120SBT; V15-122SBT; V15-125SBT; V15-129; V15-130; V15-131; V15-135; V15-135SBT; V15-136; V15-138; V15-144; V15-151SBT; V15-160; V15-187; V15-188; V15-197; V15-202; V15-30; V15-40; V15-44A; V15-45; V15-47; V15-48; V15-61SBT; V15-66; V15-77SBT; V15-78SBT; V15-79SBT; V15-8; V15-80SBT; V15-81SBT; V15-82SBT; V15-95SBT; Vema
    Type: Dataset
    Format: text/tab-separated-values, 698 data points
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  • 21
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    In:  Supplement to: Ericson, D; Baker, RN; Goldstein, RF (1955): Vema Cruise 07 - Preliminary Megascopic Descriptions of Split Cores. Lamont Geological Observatory, Columbia University, New York, unpublished, 8 pp, https://www.ngdc.noaa.gov/mgg/geology/data/vema/vm07/vm07_summary.pdf
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 7 Expedition from May until September 1955 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 78 cores were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; V07; V07-25; V07-61; V07-71; V07-8; Vema
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 22
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    In:  Supplement to: Hekinian, Roger; Starkes, J; Ericson, D (1956): Vema Cruise 09 - Preliminary Megascopic Descriptions of Split Cores. Lamont Geological Observatory, Columbia University, New York, 40 pp
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 9 Expedition from February until April 1958 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 34 cores were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Atlantic Ocean; Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; TC; Trigger corer; V09; V09-13TW; V09-15; V09-16; V09-18; V09-2; V09-21; V09-26; V09-28; V09-33; V09-9; Vema
    Type: Dataset
    Format: text/tab-separated-values, 138 data points
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  • 23
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    In:  Supplement to: Ericson, D; Morgenstein, M; Grinnell, R (1956): Vema Cruise 10 - Preliminary Megascopic Descriptions of Split Cores. Lamont Geological Observatory, Columbia University, New York, unpublished, 145 pp
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 10 Expedition from June until September 1956 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 95 cores were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; V10; V10-1; V10-11; V10-19; V10-20; V10-21; V10-32; V10-42; V10-50; V10-6; V10-65; V10-72; V10-77; V10-78; V10-80; V10-82; V10-83; V10-88; V10-95; V10-97; V10-99; Vema
    Type: Dataset
    Format: text/tab-separated-values, 254 data points
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  • 24
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    In:  Supplement to: Lamont-Doherty Earth Observatory (1957): Vema Cruise 12 - Preliminary Megascopic Descriptions of Split Cores. Lamont Geological Observatory, Columbia University, New York, unpublished, 87 pp
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 12 Expedition from December 1956 until August 1957 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 119 cores were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; V12; V12-1; V12-101; V12-103; V12-104; V12-107; V12-108; V12-109; V12-111; V12-114; V12-115; V12-116; V12-117; V12-120; V12-121; V12-127; V12-128; V12-14; V12-19; V12-20; V12-22; V12-52; V12-54; V12-56; V12-65; V12-72; V12-73; V12-80; V12-85; V12-93; V12-96; V12-97; V12-98; V12-99; Vema
    Type: Dataset
    Format: text/tab-separated-values, 377 data points
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  • 25
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    In:  Supplement to: Kuno, Hisashi; Fisher, Robert L; Nasu, Noriyuki (1956): Rock fragments and pebbles dredged near Jimmu Seamount, northwestern Pacific. Deep Sea Research, 3(2), 126-133, https://doi.org/10.1016/0146-6313(56)90090-9
    Publication Date: 2023-08-28
    Description: Fifty-five rock fragments and pebbles were dredged at 2,550-2,800 fathoms (4,650-5,100 metres) near Jimmu Seamount, 700 miles southeast of Kamchatka. Tuffaceous shale, andesitic and dacitic tuff, pyroxene-hornblende dacite-pumice, and augite-hypersthene andesite are the most abundant rock types. Minor constituents in the haul include augite-pigeonite basalt, augite-olivine basalt, olivine dolerite, quartz syenite porphyry, metabasalt, sandstone, and chert. Petrographic and chemical analyses indicate closer affinities with Kuril Islands and Kamchatka volcanic rocks than with Cenozoic Japanese or Pacific Basin types. Probably these rocks were dropped by Pleistocene icebergs carried south and east by ocean currents.
    Keywords: Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Elevation of event; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sample ID; Sediment type; Size; Spencer F. Baird; Substrate type; TRAN_JG; TRANSPAC; Trans-Pacific; Uniform resource locator/link to image; Western Pacific
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 26
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    In:  Supplement to: Ljunggren, P (1955): Geochemistry and radioactivity of some Mn and Fe bog ores. Geologiska Föreningens i Stockholm förhandlingar: GFF (The transactions of the Geological Society of Sweden, 77(1), 33-44, https://doi.org/10.1080/11035895509455349
    Publication Date: 2023-08-28
    Description: The trace element content of different bog ores has been measured and it appeared that most of these elements are enriched in the manganiferous bog ores as compared with the ferriferous ones. The manganiferous bog ores have also proved to have a higher radioactivity than the ferriferous ones.
    Keywords: Barium; Beryllium; Boron; Caesium; Chromium; Cobalt; DEPTH, sediment/rock; Description; Detector raw counts; Event label; Geiger counter; Identification; Iron oxide, Fe2O3; Lake Tisjoen, Sweden; Lead; Lika_L; Manganese dioxide; Molybdenum; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Potassium; River Lika, Sweden; Rubidium; Strontium; Tisjoen_L; Vanadium; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 181 data points
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  • 27
    Publication Date: 2023-08-28
    Keywords: Cerium oxide; CHA-276; Challenger1872; DEPTH, sediment/rock; Description; Grab; GRAB; H.M.S. Challenger (1872); Mercury oxide; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Sample code/label; Thorium oxide
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
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  • 28
    Publication Date: 2023-08-28
    Keywords: 248; CHA-248; CHA-252; CHA-276; Challenger1872; DEPTH, sediment/rock; Description; Event label; Grab; GRAB; H.M.S. Challenger (1872); Insoluble material; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northwest Pacific Ocean; Sample code/label; Soluble residue; TRAWL; Trawl net
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 29
    Publication Date: 2023-08-28
    Keywords: 248; CHA-248; CHA-252; CHA-276; Challenger1872; Deposit type; DEPTH, sediment/rock; Description; Event label; Feature; Grab; GRAB; H.M.S. Challenger (1872); NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northwest Pacific Ocean; Position; Quantity of deposit; Sample code/label; Sediment type; Size; Station label; Substrate type; TRAWL; Trawl net; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 30
    Publication Date: 2023-08-28
    Keywords: ALB-13; Albatross (1882-1921); Albatross1899-1900; ALBTR-13; Colorimetry; DEPTH, sediment/rock; DISTANCE; Dredge; DRG; Fluorescence radiometry; Iron; Manganese dioxide; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Radium; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 31
    Publication Date: 2023-08-28
    Keywords: Albatross (1882-1921); Albatross1904-1905; ALBTR-4658; Colorimetry; DEPTH, sediment/rock; DISTANCE; Dredge; DRG; Fluorescence radiometry; Iron; Manganese dioxide; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Radium; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
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  • 32
    Publication Date: 2023-07-10
    Keywords: Batrachium; Betula; Betula nana; Betula pendula; Betula pubescens; Beug_pollen-archive; Calliergon giganteum; Calliergon sarmentosum; Calliergon stramineum; Carex rostrata; Carex sect. Eucarex; Carex sect. Vignea; Cicuta virosa; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Drepanocladus exannulatus; Drepanocladus fluitans; Eleocharis palustris; Fiberg57makro; Fichtelgebirge, Northern Germany; Helodium blandowii; Hippuris vulgaris; Juniperus; Meesea triquetra; Menyanthes trifoliata; Montia rivularis; Myriophyllum alterniflorum; Nitella; Paludella squarrosa; Pinus sp.; Pinus sylvestris; Polytrichum commune; Polytricum strictum; Potamogeton obtusifolius; Potamogeton pusillus; Potamogeton rutilus; Potentilla palustris; PROFILE; Profile sampling; Rhynchospora; Salix; Sampling on land; Sphagnum sect. Cuspidata; Sphagnum teres; Stellaria palustris
    Type: Dataset
    Format: text/tab-separated-values, 675 data points
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  • 33
    Publication Date: 2023-11-01
    Keywords: Abies; Alnus; Apiaceae; Artemisia; Athyrium filix-femina; Betula; Beug_pollen-archive; Botrychium; Brassicaceae; Bupleurum; Calluna; Campanulaceae; Carpinus; Caryophyllaceae; Centaurea scabiosa-type; Chenopodiaceae; Circaea; Compositae Liguliflorae; Compositae Tubuliflorae; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Empetrum; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Fabaceae; Fagus; Fichtelgebirge, Northern Germany; Filicinae; Filipendula; Fraxinus; Gentianaceae; Geranium; Hedera; Helianthemum alpestre; Hippophae; Juniperus; Knautia; Lamiaceae; Lycopodium annotinum; Lysimachia; Melampyrum; Onobrychis; Onosma; Picea; Pinus; Plantago lanceolata; Plantago major/media-type; Poaceae; Polygonum bistorta-type; Polypodium vulgare; Populus; Potamogeton eupotamogeton-type; Potentilla-type; PROFILE; Profile sampling; Quercus; Ranunculus; Ranunculus subgen. Batrachium; Rhamnus frangula; Rubiaceae; Rumex acetosa-type; Salix; Sampling on land; Sanguisorba minor; Sanguisorba officinalis; Saussurea-type; Saxifraga oppositifolia-type; Scrophulariaceae; SEELOH92; Seelohe; Sparganium-type; Sphagnum; Succisa; Thalictrum; Tilia cordata-type; Typha latifolia; Ulmus; Vaccinium-type; Valeriana dioica; Valeriana sambucifolia; Viburnum
    Type: Dataset
    Format: text/tab-separated-values, 1748 data points
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  • 34
    Publication Date: 2023-11-01
    Keywords: Alnus; Apiaceae; Artemisia; Betula; Beug_pollen-archive; Botrychium; Brassicaceae; Calluna; Campanulaceae; Caryophyllaceae; Centaurea scabiosa-type; Chenopodiaceae; Compositae Liguliflorae; Compositae Tubuliflorae; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Empetrum; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Fabaceae; Filicinae; Filipendula; Fraxinus; Gentianaceae; Gypsophila; Hedera; Helianthemum; Hippophae; Juniperus; Kleines Rotes Moor/Rhön; Knautia; Lycopodium alpinum-type; Lysimachia; Melampyrum; Menyanthes; Montia; Onobrychis; Picea; Pinus; Plantago major/media-type; Poaceae; Polemonium; Polygonum bistorta-type; Polypodium vulgare; Populus; Potamogeton eupotamogeton-type; Potentilla-type; PROFILE; Profile sampling; Quercus; Ranunculus; Ranunculus subgen. Batrachium; Rhamnus frangula; Rhinanthus; RotesMoor1; Rubiaceae; Rumex acetosa-type; Salix; Sampling on land; Sanguisorba minor; Sanguisorba officinalis; Saussurea-type; Saxifraga oppositifolia-type; Scabiosa; Scrophulariaceae; Selaginella selaginoides; Sparganium-type; Sphagnum; Thalictrum; Tilia cordata-type; Trifolium; Ulmus; Vaccinium-type; Valeriana dioica; Valeriana sambucifolia
    Type: Dataset
    Format: text/tab-separated-values, 2130 data points
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  • 35
    Publication Date: 2023-11-01
    Keywords: Apiaceae; Armeria; Artemisia; Athyrium filix-femina; Betula; Beug_pollen-archive; Botrychium; Brassicaceae; Calluna; Campanulaceae; Caryophyllaceae; Centaurea scabiosa-type; Chenopodiaceae; Compositae Liguliflorae; Compositae Tubuliflorae; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Empetrum; Ephedra distachya-type; Epilobium; Equisetum; Filicinae; Filipendula; Geranium; Harz, Germany; Helianthemum; Hippophae; Indeterminata; Juniperus; Lamiaceae; Lycopodium alpinum-type; Melampyrum; Menyanthes; Montia; Onobrychis; Pinus; Poaceae; Polygonum bistorta-type; Potamogeton eupotamogeton-type; Potentilla-type; PROFILE; Profile sampling; Quercus; RadauerBorn56; Ranunculus; Ranunculus subgen. Batrachium; Rubiaceae; Rumex acetosa-type; Salix; Sampling on land; Sanguisorba minor; Sanguisorba officinalis; Saussurea-type; Selaginella selaginoides; Sparganium-type; Sphagnum; Thalictrum; Ulmus; Vaccinium-type; Valeriana sambucifolia; Varia
    Type: Dataset
    Format: text/tab-separated-values, 550 data points
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  • 36
    Publication Date: 2023-11-01
    Keywords: Alnus; Apiaceae; Artemisia; Athyrium filix-femina; Betula; Beug_pollen-archive; Botrychium; Brassicaceae; Bupleurum; Calluna; Campanulaceae; Caryophyllaceae; Centaurea scabiosa-type; Chenopodiaceae; Circaea; Compositae Liguliflorae; Compositae Tubuliflorae; Corylus; Counting, palynology; Cuscuta; Cyperaceae; DEPTH, sediment/rock; Drosera rotundifolia; Dryopteris filix-mas; Empetrum; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Fabaceae; Fiberg57; Fichtelgebirge, Northern Germany; Filicinae; Filipendula; Fraxinus; Gentianaceae; Geranium; Hedera; Helianthemum alpestre; Helianthemum nummularium-type; Hippophae; Juniperus; Knautia; Lamiaceae; Lycopodium alpinum-type; Lycopodium inundatum; Lysimachia; Melampyrum; Menyanthes; Montia; Myriophyllum; Myriophyllum spicatum-type; Onobrychis; Picea; Pinus; Plantago lanceolata; Plantago major/media-type; Pleurospermum; Poaceae; Polemonium; Polygonum bistorta-type; Populus; Potamogeton eupotamogeton-type; Potentilla-type; PROFILE; Profile sampling; Quercus; Ranunculus; Ranunculus subgen. Batrachium; Rhamnus; Rubiaceae; Rumex acetosa-type; Salix; Sampling on land; Sanguisorba minor; Sanguisorba officinalis; Saussurea-type; Saxifraga oppositifolia-type; Scrophulariaceae; Selaginella selaginoides; Sorbus-type; Sparganium-type; Sphagnum; Thalictrum; Thelypteris; Tilia cordata-type; Trifolium; Typha latifolia; Ulmus; Urtica; Vaccinium-type; Valeriana dioica; Valeriana sambucifolia
    Type: Dataset
    Format: text/tab-separated-values, 6028 data points
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  • 37
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    PANGAEA
    In:  Supplement to: Riley, J P; Sinhaseni, P (1958): Chemical composition of three manganese nodules from the Pacific Ocean. Journal of Marine Research, 17, 466-482, hdl:10013/epic.46183.d001
    Publication Date: 2023-08-28
    Description: Three manganese nodules from the Pacific Ocean have been analysed for 35 elements by using mainly spectrophotometric and spectrographic methods. Cu, Co, Ni, Zn, and Pb were found in amounts approaching 1 %, which far exceeds their average concentrations in igneous rocks. On the other hand, elements having readily hydrolysable ions, such as Ga, Sc, Zr, Y, La and Ti, are present only in amounts comparable with their concentrations in igneous rocks. Sb, Bit Be, and Cr were not detected. The hydrochloric acid-insoluble fraction of nodules is practically free of the heavy metals that are characteristic of the acid-soluble fraction; it consists principally of clay minerals, together with lesser amounts of quartz, apatite, biotite and sodium and potassium felspars.
    Keywords: NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 38
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    PANGAEA
    In:  Supplement to: Menard, H William; Shipek, CJ (1958): Surface concentrations of manganese nodules. Nature, 182(4643), 1156-1158, https://doi.org/10.1038/1821156b0
    Publication Date: 2023-08-28
    Description: Manganese nodules were investigated during the Downwind Expedition, a part of the International Geophysical Year programme of the Scripps Institution of Oceanography of the University of California. Attempts were made to collect bottom photographs, cores and dredge hauls in the same areas, to measure the distribution at the surface and in depth, and to obtain large samples for physical and chemical analysis.
    Keywords: Comment; Coverage; Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; DNWB0ABD; DNWB0BBD; DOWNWIND-B1; DOWNWIND-B2; DWBP10; DWBP11; DWBP2; DWBP5; DWBP8; DWBP9; East Pacific, Austral Basin; Elevation of event; Event label; French Polynesia; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Nodules, mass abundance; North-East Pacific Ocean; Photo/Video; Position; PV; Quantity of deposit; Sample ID; Sediment type; Southwest Pacific Ocean; Spencer F. Baird; Station 10-K1253; Station 11-K1252; Station 2-K1243; Station 5-K1250; Station 8-K1248; Station 9-K1244; Substrate type; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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  • 39
    Publication Date: 2023-08-28
    Keywords: 248; Aluminium oxide; Barium oxide; Boron oxide; Cadmium oxide; Calcium oxide; Carbon dioxide; CHA-248; CHA-252; CHA-276; Challenger1872; Chromium(III) oxide; Cobalt oxide; Copper(II) oxide; DEPTH, sediment/rock; Description; Event label; Gallium oxide; Germanium oxide; Grab; GRAB; H.M.S. Challenger (1872); Iron oxide, Fe2O3; Lanthanum oxide; Lead oxide; Magnesium oxide; Manganese oxide; Molybdenum trioxide; Nickel oxide; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northwest Pacific Ocean; Oxygen, gas; Phosphorus pentoxide; Potassium oxide; Sample code/label; Scandium oxide; Silver oxide; Sodium oxide; Spectrophotometric; Strontium oxide; Thallium(I) oxide; Tin dioxide; Titanium dioxide; TRAWL; Trawl net; Tungsten trioxide; Vanadium oxide; Water in rock; Yttrium oxide; Zinc oxide; Zirconium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 104 data points
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  • 40
    Publication Date: 2023-08-28
    Keywords: ALB-173; Albatross (1882-1921); Albatross1899-1900; ALBTR-173; Colorimetry; DEPTH, sediment/rock; DISTANCE; Dredge; DRG; Fluorescence radiometry; Iron; Manganese dioxide; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Radium; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 43 data points
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  • 41
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    PANGAEA
    In:  Supplement to: Pettersson, Hans (1955): Manganese nodules and oceanic radium. Deep Sea Research - Supplement to Volume 3: Papers in Marine Biology and Oceanography, Pergamon Press, London & New York, 335-345, https://archive.org/details/papersinmarinebi00lond
    Publication Date: 2023-08-28
    Description: Thanks to the courtesy of the British Museum of Natural History the author obtained from their Challenger collections two small nodules, and through a similar courtesy of the Mineralogical Department of the Riksmuseum in Stockholm one half of a much larger nodule, also from the Challenger Expedition. Results from his initial measurements of the radium contents of these samples convinced the author that the radium in the nodules is accumulated from the surrounding sediment. In the present paper the author conducted a much more thorough investigation on nodules obtained during the U.S. Albatross cruises of Dr. Agassiz. Detailed measurements of radium were conducted on individual layers and spots inside each nodule.
    Keywords: NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 42
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    PANGAEA
    In:  Supplement to: Lamont-Doherty Earth Observatory (1958): Expedition VEMA 14. Lamont Geological Observatory, Columbia University, New York, unpublished, 24 pp, https://www.ngdc.noaa.gov/mgg/geology/data/vema/vm14/vm14_summary.pdf
    Publication Date: 2023-08-28
    Description: The cores and dredges described in this report were taken during the VEMA 14 Expedition from November 1957 until August 1958 by the Lamont Geological Observatory, Columbia University from the R/V Vema. A total of 151 cores and dredges were recovered and are available at Lamont-Doherty Earth Observatory for sampling and study.
    Keywords: Atlantic Ocean; Comment; Date/Time of event; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Dredge, rock; DRG_R; Elevation of event; Event label; Indian Ocean; Latitude of event; LGO-BT-57 or VM14 SBT57 (SIO); Longitude of event; Method/Device of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; PC; Piston corer; Position; Quantity of deposit; Sample ID; Sediment type; Size; Substrate type; V14; V14-106; V14-114; V14-132; V14-133; V14-136; V14-144; V14-16BT; V14-2; V14-28; V14-28BT; V14-46; V14-51RD; V14-57RD; V14-65; V14-69C; V14-6RD; V14-78; V14-8; V14-84A; V14-85; V14-86; V14-9; V14-91; V14-93; V14-99; Vema; VM14 51-CP (SIO); VM14 9TW (SIO)
    Type: Dataset
    Format: text/tab-separated-values, 325 data points
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  • 43
    Publication Date: 2023-08-28
    Keywords: 248; Aluminium oxide; Barium; Calcium oxide; CHA-248; CHA-252; CHA-276; Challenger1872; Cobalt; Copper; DEPTH, sediment/rock; Description; Event label; Gallium; Grab; GRAB; H.M.S. Challenger (1872); Iron oxide, Fe2O3; Lead; Magnesium oxide; Manganese oxide; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northwest Pacific Ocean; Phosphorus pentoxide; Potassium oxide; Sample code/label; Silicon dioxide; Sodium oxide; Spectrophotometric; Strontium; Tin; Titanium dioxide; TRAWL; Trawl net; Vanadium; Water in rock; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 59 data points
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  • 44
    Publication Date: 2023-08-28
    Keywords: Area/locality; Cobalt; Deposit type; DEPTH, sediment/rock; Dredge; Dredge, rock; DRG; DRG_R; Erben Seamount, Pacific Ocen; Event label; Horizon; Identification; Iron; Manganese; MDPC02HO-MP-026A-3; MIDPAC; MPC-26A-3; NEL-667; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northern_Holiday; North-West Pacific Ocean; NTHL02HO-010PH; NTHL-10; NTHL-D7; Pacific Ocean; Wet chemistry; Wired profile sonde; WP
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 45
    Publication Date: 2023-08-28
    Keywords: Area/locality; Cobalt; Deposit type; DEPTH, sediment/rock; DICH-SS; Dredge; Dredge, rock; DRG; DRG_R; Event label; GOLDHW1; Horizon; Identification; Iron; Manganese; MDPC02HO-MP-037A; MIDPAC; MPC-37A; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northern_Holiday; North-West Pacific Ocean; NTHL02HO-010PH; NTHL-10; NTHL-D1; NTHL-D7; Pacific Ocean; Sylvania Seamount, Pacific Ocean; Wet chemistry; Wired profile sonde; WP
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
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  • 46
    Publication Date: 2023-08-28
    Keywords: Aluminium oxide; Area/locality; Calcium oxide; Cobalt; Copper; Deposit type; DEPTH, sediment/rock; Dredge; DRG; Horizon; Identification; Insoluble residue; Iron; Loss on ignition; Magnesium oxide; Manganese; Molybdenum; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northern_Holiday; North-West Pacific Ocean; NTHL-D1; Phosphorus pentoxide; Silicon dioxide; Sulfur, total; Titanium dioxide; Vanadium oxide; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
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  • 47
    Publication Date: 2023-08-28
    Keywords: Description; DICH-SS; Dredge, rock; DRG_R; Event label; File name; Horizon; MDPC02HO-MP-025F-2; MIDPAC; MPC-25F-2; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Northern_Holiday; North-West Pacific Ocean; NTHL02HO-010PH; NTHL-10; Pacific Ocean; Page(s); Sylvania Seamount, Pacific Ocean; Uniform resource locator/link to image; Wired profile sonde; WP
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 48
    Publication Date: 2023-08-28
    Keywords: Aluminium; Calcium; Cobalt; Copper; DEPTH, sediment/rock; Dredge; DRG; Hakuho-Maru; HAM_1968-1976; Identification; Iron; JAPAN_B; Japan Sea; Lead; Manganese; Molybdenum; Nickel; Niino_9; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Silicon; Wet chemistry; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 49
    Publication Date: 2023-08-28
    Keywords: Comment; Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Hakuho-Maru; HAM_1968-1976; Identification; JAPAN_B; Japan Sea; Niino_9; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sediment type; Size; Substrate type; Uniform resource locator/link to image; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 50
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    PANGAEA
    In:  Scripps Institution of Oceanography, UC San Diego
    Publication Date: 2023-09-25
    Keywords: Acapulco Trench, Pacific ocean; CHUB01BD; CHUB01BD-001G; CHUB01BD-002G; CHUB01BD-003G; CHUB01BD-009G; CHUB01BD-017G; CHUB01BD-019G; CHUB01BD-033G; CHUB01BD-034G; CHUB01BD-039G; CHUB02BD-010G; CHUB-1; CHUB-17; CHUB-19; CHUB-2; CHUB-3; CHUB-33; CHUB-34; CHUB-39; CHUB5; CHUB-9; CHUBASCO; CHUB-X; Core; CORE; Deposit type; DEPTH, sediment/rock; Description; Elevation of event; Event label; Feature; Identification; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; Sediment type; Size; Spencer F. Baird; Substrate type; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 116 data points
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  • 51
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    PANGAEA
    In:  Scripps Institution of Oceanography, UC San Diego
    Publication Date: 2023-09-25
    Keywords: CAP-13HG; CAP-22HG; CAP-24HG; CAP-26HG; CAP-28HG; CAP-30BG; CAP-31BG; CAP-32HG; CAP-33BG; CAP-34BG; CAP-36HG; CAP-39BG-1; CAP-41BG-1; CAP-44HG; CAP-50BG-1; CAPB01BD-030BG; CAPB01BD-031BG; CAPB01BD-033BG; CAPB01BD-034BG; CAPB01BD-039BG-01; CAPB01BD-041BG-01; CAPB01BD-050BG-01; CAPH0AHO-013G; CAPH0BHO-022G; CAPH0BHO-024G; CAPH0BHO-026G; CAPH0BHO-028G; CAPH0CHO-036G; CAPH0CHO-044G; CAPRICORN-B; CAPRICORN-H; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Event label; Feature; GC; Gravity corer; Horizon; Identification; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sediment type; Size; Spencer F. Baird; Substrate type; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 52
    Publication Date: 2023-11-03
    Description: Die biologischen Arbeiten der Deutschen Antarktischen Expedition 1938/39 wurden in übereinstimmung mit dem Institut für Walforschung der damaligen Reichsanstalt für Fischerei in Hamburg durchgeführt. ... Hier sollen nur die Beobachtungen über die Wale, Robben und Vögel betrachtet werden. Verbunden damit ist ein Überblick über die hydrographischen Verhältnisse sowie die Zusammenstellung der Volumina der quantitativen Oberflächenplanktonproben.
    Keywords: Abundance estimate; Amphipoda; Appendicularia; Auricularia; BNET; Brutnetz; Chaetognatha; Chaetopoda; Comment of event; Copepoda; Counting; Counting, Stereo Microscope; Crustacea indeterminata; Ctenophora; DAE3_1; DAE3_10; DAE3_11; DAE3_12; DAE3_13a; DAE3_13b; DAE3_14; DAE3_15; DAE3_16; DAE3_17; DAE3_18; DAE3_19; DAE3_1938/39; DAE3_2; DAE3_20; DAE3_21; DAE3_22; DAE3_23; DAE3_24; DAE3_25; DAE3_26; DAE3_27; DAE3_28; DAE3_29; DAE3_3; DAE3_30; DAE3_31; DAE3_32; DAE3_33; DAE3_34; DAE3_35; DAE3_36; DAE3_37; DAE3_38; DAE3_39; DAE3_4; DAE3_40; DAE3_41; DAE3_42; DAE3_43; DAE3_44; DAE3_45; DAE3_46; DAE3_47; DAE3_48; DAE3_49; DAE3_5; DAE3_50; DAE3_51; DAE3_52; DAE3_53; DAE3_54; DAE3_55; DAE3_56; DAE3_57; DAE3_58; DAE3_59; DAE3_6; DAE3_60; DAE3_61; DAE3_62; DAE3_63; DAE3_64; DAE3_65; DAE3_66; DAE3_67; DAE3_68; DAE3_69; DAE3_7; DAE3_70; DAE3_71; DAE3_72; DAE3_73; DAE3_74; DAE3_75; DAE3_76; DAE3_77; DAE3_78; DAE3_79; DAE3_8; DAE3_80; DAE3_81; DAE3_82; DAE3_83; DAE3_84; DAE3_9; Date/Time of event; Decapoda larvae; Depth, bottom/max; Depth, top/min; DEPTH, water; Deutsche Antarktische Expedition 1938/39; Directory of research expeditions of Germany; Estimated; Event label; EXP_GER; Fish indeterminata; KN; Krill net; Large volume water sampler; Latitude of event; Longitude of event; LVS; Medusa; Method/Device of event; Mollusca; Ostracoda; PLA; Plankton net; Radiolarians indeterminata; Rubber boat, Zodiac; Schizopoda; Schwabenland; Sediment sample; SES; Siphonophora sp.; Smear slide analysis; Southern Ocean; Thaliacea; Trawling; ZODIAC
    Type: Dataset
    Format: text/tab-separated-values, 653 data points
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  • 53
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 54
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 55
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 56
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 57
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 58
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 59
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 60
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 61
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 62
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 63
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 64
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 65
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 66
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 67
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 68
    Publication Date: 2021-08-06
    Description: While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
    Type: experiment
    Format: NetCDF
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  • 69
    Publication Date: 2021-08-04
    Description: Abstract
    Description: The data set includes supporting tables and figures to the main text of the manuscript entitled “Quantifying tectonic and glacial controls on topography in the Patagonian Andes (46.5°S) from integrated thermochronometry and thermokinematic modeling”. The paper focuses on tectonic and glacial contributions to the erosion history and topography in the Patagonian Andes (46.5°S). The data set comprises (i) new bedrock thermochronometric ages (apatite and zircon (U-Th)/He, AHe and ZHe, respectively, and fission-track measurements, AFT and ZFT, respectively); (ii) published bedrock thermochronometric ages (AHe, AFT, ZHe and ZFT measurements), (iii) 3D thermo-kinematic model results and (iv) a table including parameters used in the modeling. The detailed analytical procedure is described in a description file (“2021-004_Andric-Tomasevic-et-al_Data-Description.pdf”).
    Keywords: Patagonian Andes ; thermochronology ; 3 D thermo-kinematic numerical modeling ; fold and thrust belt ; Glacial erosion ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS
    Type: Dataset , Dataset
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  • 70
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    WDCC
    Publication Date: 2021-05-21
    Description: Multi-years (2014-2019) observations of dual-pol X-band weather radar (BoXPol) with 10 different elevations (1 to 28 degree). The spatial resolution is one degree azimuthal and 25m to 150m in range. The Temporal resolution is 5 minutes.
    Type: experiment
    Format: NetCDF
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  • 71
    Publication Date: 2021-07-21
    Description: This datasets contains simulation output for the global hydrological models HydroPy and MPI-HM. Both used meteorological forcing from the GSWP3 dataset for the period 1979-2014 and a 50 years spinup period. The analysis of this simulations is published at https://doi.org/10.5194/gmd-2021-53 .
    Type: experiment
    Format: NetCDF
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  • 72
    Publication Date: 2021-07-14
    Description: The data was produced employing the Advanced Research Weather Research and Forecasting model (WRF) version 4.1.2 (Skamarock et al., 2019) for the dynamical downscaling of GCM data. WRF is a fully compressible non-hydrostatic atmospheric simulation system. Two sensitivity simulations were conducted using 15-year time slices for the present day and the mid-Pliocene simulated by ECHAM5 as initial and boundary conditions (Mutz et al., 2018; Botsyun et al., 2020). Except for the atmospheric forcing data, other parameters were the same in both simulations. The model domain has a grid spacing of 30 km. In the vertical direction, 28 terrain-following eta-levels were used. The model time steps are 120 seconds with a 6 hourly data output and are aggregated to daily values in post processing. The boundary conditions were updated every 6 h. The daily re-initialization strategy from Maussion et al. (2011) and Maussion et al. (2014) were employed: each simulation starts at 12 UTC and contains 36 h, with the first 12 h as the spin-up time. This strategy kept the large-scale circulation patterns simulated by WRF closely constrained by the forcing data, while concurrently allowing WRF to develop the mesoscale atmospheric features. Physical parameterization schemes were consistent with the ones used for high-resolution dynamical downscaling in High Mountain Asia in Wang et al. (2021). The data format follows the guidelines of the [UC]² Data Standard (http://www.uc2-program.org/uc2_data_standard.pdf).
    Type: experiment
    Format: NetCDF
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  • 73
    facet.materialart.
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    WDCC
    Publication Date: 2021-07-31
    Description: Workflow and scripts to build preliminary qualitative system dynamic model from individual models.
    Type: experiment
    Format: tar-File(s)
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  • 74
    Publication Date: 2021-07-30
    Description: The experiment aims to investigate how the representation of convection influences the West African Monsoon during the mid-Holocene. Atmospheric and SST input data originate from the MPI-ESM Holocene simulations reflecting Holocene condition. External Parameters (surface condition) reflect present-day conditions similar to the experimental setup of PMIP1: The Sahara remains a desert. We use the ICON (ICOsahedral Nonhydrostatic) model framework version 2.5.0 (see Zängl et al. (2014) for more details). The provided data covers one simulation from June to October (JJASO) for the year 7023 before present (BP) with the year 2000 as the reference year. The time axes of the NetCDF files reflect the model year which is based on the time axes of the MPI-ESM slo0021a Holocene simulations. The artificial model year 1001 in slo0021a refers to the year 8000 BP. Therefore, the model year 1977 refers to the year 7023 BP. The experiment compares a 5km horizontal resolution, cloud-resolving simulation with a 40km-horizontal resolution, parameterized convection simulation. The 40km-domain (DOM01) covers a range from 70.5°W - 99.5°E; 49°S - 59°N The 5km-domain (DOM04) covers a range from 37°W - 53°E; 0°N - 40°N The dataset provides daily mean values on the triangular ICON grid. The datasets provide atmospheric (3D), surface (2D) and precipitation (2D) data an the following variables: rain_con_rate, rain_gsp_rate, clct, geopot, temp, rh, qv, u, v, w, w_so, runoff_g, runoff_s, lhfl_s, shfl_s, soiltyp
    Type: experiment
    Format: NetCDF
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  • 75
    Publication Date: 2021-08-03
    Description: Abstract
    Description: SEVA is a scalable exploration tool that supports users to conduct change detection based on optical Sentinel-2 satellite observations. It supports the following essential steps of change detection: a) exploration and selection of optical satellite images to recognize proper data for the current application scenario, b) automated extraction of changes from the optical satellite images, c) analysis of errors and d) assessment and interpretation of the extracted changes.
    Description: TechnicalInfo
    Description: License: GNU General Public License, Version 3, 29 June 2007 Copyright © 2020 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany SEVA is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. SEVA is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
    Keywords: remote sensing ; satellite data ; visualilsation ; change detection ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 GEOGRAPHIC INFORMATION SYSTEMS 〉 WEB-BASED GEOGRAPHIC INFORMATION SYSTEMS
    Type: Software , Software
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  • 76
    Publication Date: 2021-08-03
    Description: Abstract
    Description: The data set contains stress-strain data of Carrara marble experimentally deformed in triaxial compression at temperatures of 20 – 800°C, confining pressures of 30 – 300 MPa, and strain rates between 10-3 and 10-6 s-1. This range covers conditions, at witch marble deforms in the semi-brittle regime, i.e., strength depends on all parameters, but with different sensitivity. Semi-brittle deformation behavior is expected to be important in the mid continental crust. The experiments were conducted in the Experimental Rock Deformation Laboratory of the GFZ German Research Centre for Geosciences in Potsdam, Germany. The data are separated into 91 individual ASCII files, one for each sample. The corresponding temperature, pressure and strain rate conditions are listed in Tab. 1. of the data description and in the associated work by Rybacki et al. (submitted).
    Description: Methods
    Description: Cylindrical samples were prepared from Carrara marble (Bianco Lorano, Apuane Alps, Italy). Samples denoted CMxx, where xx is sample number, were 20 mm long and 10 mm in diameter; samples Mbxx were 60 mm long and 30 mm in diameter. Both set of samples were dry and deformed in two different deformation apparatuses using Argon gas as confining medium. Raw data were axial force and axial displacement, measured with a load cell and LVDT, respectively. Raw data (axial force and displacement) were converted to stress and strain assuming constant volume deformation. All data are corrected for system compliance and jacket strength.
    Keywords: marble ; semi-brittle deformation ; creep ; twinning-induced plasticity ; EPOS ; European Plate Observing System ; multi-scale laboratories ; rock and melt physical properties ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; Patterson Apparatus ; Strength 〉 Triaxial Compressive Strength
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  • 77
    Publication Date: 2021-08-19
    Description: Abstract
    Description: The fiber optic cable was installed down to 832 m behind the production casing of a 9 5/8" (445-2932 m) and 9 7/8" (0 - 445 m) production casing in well RN-15/DEEPEGS/IDDP-2 in the Reykjanes geothermal field, SW Iceland (depth reference: surface). Fiber optic distributed temperature data was acquired (campaign based) during cementation (09/2016) of the production casing, at the end of the cold fluid injection (09/2018) as well during the onset of well stimulation (10/2019-04/2020).
    Keywords: permanent temperature monitoring ; cementation ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL ENERGY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE 〉 TEMPERATURE PROFILES ; energy 〉 energy source 〉 renewable energy source ; industrial process 〉 drilling
    Type: Dataset , Dataset
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  • 78
    Publication Date: 2021-08-19
    Description: Abstract
    Description: The fiber optic cable was installed down to 832 m behind the production casing of a 9 5/8" (445-2932 m) and 9 7/8" (0 - 445 m) production casing in well RN-15/DEEPEGS/IDDP-2 in the Reykjanes geothermal field, SW Iceland (depth reference: surface). Fiber optic distributed temperature data was acquired (campaign based) during cementation (09/2016) of the production casing, at the end of the cold fluid injection (09/2018) as well during the onset of well stimulation (10/2019-04/2020).
    Keywords: permanent temperature monitoring ; cementation ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL ENERGY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE 〉 TEMPERATURE PROFILES ; energy 〉 energy source 〉 renewable energy source ; industrial process 〉 drilling
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  • 79
    Publication Date: 2021-08-19
    Description: Abstract
    Description: This data set is the 1st part of a mini-series assembling whole-rock chemical data for late-Variscan granites of the Erzgebirge-Vogtland metallogenic province in the German Erzgebirge, in the Saxothuringian Zone of the Variscan Orogen, which is dedicated to the group of P-F-rich Li-mica granites. Listed are data from the massifs/plutons of Eibenstock in the western Erzgebirge and Annaberg, Geyer, Pobershau, and Seiffen in the central Erzgebirge (Figure 1). All these occurrences represent composite bodies made-up of texturally and geochemically distinct, but cogenetic sub-intrusions, which are associated with intra- und perigranitic aplitic dykes, pegmatitic schlieren, and frequently mineralized quartz veins and greisens (Tables 1-3). These granites exhibit moderately to strongly elevated concentrations of P, F, Li, Rb, Cs, Ta, Sn, W and U, but are low to very low in Ti, Mg, V, Sc, Co, Ni, Sr, Ba, Y, Zr, Hf, Th, and the REEs. Crystal-melt fractionation was the dominant process controlling the evolution of bulk composition in the course of massif/pluton formation. However, metasomatic processes involving late-stage residual melts and high-T late- to postmagmatic fluids became increasingly more important in highly evolved units and have variably modified the abundances of mobile elements (P, F, Li, Rb, Cs, Ba, Sr). Interaction with the various country rocks and infiltration of meteoric low-T fluids have further disturbed the initial chemical patterns. The data set reports whole-rock geochemical analyses for granites, aplites, and endocontact rocks obtained for the massifs/plutons of Eibenstock, Pobershau, Satzung, Annaberg, and Geyer. Data are provided as separate excel and csv files. The content of the excel sheet and further information on the granites and regional geology are provided in the data description file.
    Keywords: granite ; rare-metal granite ; peraluminous granite ; aplite ; enclave ; fractional crystallization ; composite pluton ; alteration ; ore mineralization ; whole-rock geochemistry ; tin ; tungsten ; uranium ; lithium ; phosphorus ; fluorine ; Variscan orogen ; Saxothuringian Zone ; Erzgebirge ; Germany ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 ELEMENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 IGNEOUS ROCKS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS
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  • 80
    Publication Date: 2021-08-19
    Description: Abstract
    Description: We present a compilation and analysis of 1099 Holocene relative shore-level (RSL) indicators including 867 relative sea-level data points and 232 data points from the Ancylus Lake and the following transitional phase from 10.7 to 8.5 ka BP located around the Baltic Sea. The spatial distribution covers the Baltic Sea and near-coastal areas fairly well, but some gaps remain mainly in Sweden. RSL data follow the standardized HOLSEA format and, thus, are ready for spatially comprehensive applications in, e.g., glacial isostatic adjustment (GIA) modelling. Sampling method The data set is a compilation of rather different samples from geological, geomorphological and archaeological studies. Most of the data was already published in different formats. In this compilation we homogenized the meta information of the available information according to the HOLSEA database format, https://www.holsea.org/archive-your-data, which is a modification of the recommendations given in Hijma et al. (2015). In addition to the reformatting, the majority of samples with radiocarbon dating were recalibrated with oxcal-software using the calib13 and marine13 curves. Furthermore, all sample descriptions were critically checked for consistency in positioning, levelling and indicative meaning by experts of the respective geographic region see Supplement 2. Analytical method In principle, it is a compilation, recalibration and revision of already published data. Data Processing Data of individual compilations were revised and imported into a relational database system. Therein, the data was transferred into the HOLSEA format by specified rules. By this procedure, a homogeneous categorisation was achieved without losing the original data. Also this is stored in the relational database system allowing for later updates of the transfer procedure or a recalibration of the data. Description of data table HOLSEA-baltic-yymmdd.xlsx The workbook in excel format contains 5 sheets, see https://www.holsea.org/archive-your-data: · Long-form, containing the complete information available for each sample · Short-form, a subset of attributes of the Long-form sheet · Radiocarbon, containing the radiocarbon dating information of the respective samples · U-series, a corresponding table containing the respective information of Uranium dating · References, a complete reference list of the primary publications in which the individual data sampling is described. All online sources for the compilation are included in the metadata. A full list of source references is provided in the data description file.
    Keywords: Baltic Sea ; sea-level indicator ; relative sea level ; HOLSEA ; glacial isostatic adjustment ; ice history model ; mapping function ; postgreSQL ; compound material 〉 sedimentary material 〉 sediment ; EARTH SCIENCE 〉 OCEANS 〉 COASTAL PROCESSES 〉 SHORELINES ; environment 〉 natural environment 〉 coastal environment ; In Situ Land-based Platforms 〉 FIELD SURVEYS ; In Situ/Laboratory Instruments 〉 Corers 〉 CORING DEVICES ; Phanerozoic 〉 Cenozoic 〉 Quaternary 〉 Holocene
    Type: Dataset , Dataset
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  • 81
    Publication Date: 2021-08-18
    Description: Abstract
    Description: The differences of atmospheric delays (Atmospheric ties) are theoretically affected by the height differences between antennas at the same site and the meteorological conditions. However, there is often a discrepancy between the expected zenith delay differences and those estimated from geodetic analysis. The purpose of this experiment is to investigate the possibility effects that could caused biases on GNSS atmospheric delays at co-location site.
    Description: Methods
    Description: We set up the experiment on the rooftop of the A20 building at Telegrafenberg, the campus of GFZ, Potsdam, Germany. This experiment used four Septentrio choke-ring antennas (SEPCHOKE B3E6) and Septentrio PolaRx5 receivers. We installed the antenna A201 at the highest place. A202 and A203 were placed lower than A201 with two meters and four meters height differences, respectively. Antenna A204 was installed on the same level as A203 but installed with radome (SPKE). Moreover, the meteorological sensor (Vaisala WXT530) was installed to record air pressure, temperature, and relative humidity. The GNSS data were processed by using EPOS.P8 software with Precise Point Positioning (PPP) approach. The GFZ Final orbits and clock products were used in the processing. The zenith total delays and total gradients were hourly estimated. The station coordinates were estimated daily. Results of an experiment are reported in Kitpracha et al. (2021).
    Keywords: Atmospheric ties ; GNSS co-location experiment ; Atmospheric delays ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GNSS
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  • 82
    Publication Date: 2021-08-18
    Description: Abstract
    Description: This data publication includes stacked paleomagnetic data, inclinations, declinations, and relative paleointensities, for the time interval 120 to 180 ka, comprising data from twelve sediment cores recovered from the Arkhangelsky Ridge in the Southeastern Black Sea; German RV Meteor expedition M72/5 in 2007: M72/5-22GC6, M72/5-22GC8; German RV Maria S. Merian expedition MSM33 in 2013: MSM33-51-3, MSM33-52-1, MSM33-54-3, MSM33-56-1, MSM33-57-1, MSM33-60-1, MSM33-61-1, MSM33-62-2, MSM33-63-1, MSM33-64-1. The data are also described in Nowaczyk et al. (2021). Sediment cores were recovered using gravitiy and piston corers. For paleo- and mineral-magnetic analyses clear plastic boxes of 20×20×15 mm were pressed into the split halves of the generally 1 m long sections of the sediment cores. Data are provided as six ASCII files (.dat, one for each core) with metadata header, followed by 12 data columns and are decribed in the associated data description file (pdf).
    Keywords: sediment magnetization ; Black Sea ; Palaeomagnetism ; Magnetic properties ; Palaeointensity ; Magnetic fabrics and anisotropy ; EPOS ; multi-scale laboratories ; paleomagnetic and magnetic data ; paleomagnetic data ; Core ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC DECLINATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC INCLINATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 PALEOMAGNETISM ; remanent magnetisation 〉 demagnetisation type AF ; Sedimentary
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  • 83
    Publication Date: 2021-08-18
    Description: Abstract
    Description: This data publication includes standard rock magnetic data related to concentration, coercivity and magneto-mineralogy versus depth from twelve sediment cores recovered from the Arkhangelsky Ridge in the Southeastern Black Sea, German RV Maria S. Merian expedition MSM33 in 2013: MSM33-51-3, MSM33-52-1, MSM33-53-1, MSM33-54-3, MSM33-55-1, MSM33-56-1, MSM33-57-1, MSM33-60-1, MSM33-61-1, MSM33-62-2, MSM33-63-1, MSM33-64-1. The data are related to publications by Liu et al. (2018, 2019, 2020), Liu (2019) and Nowaczyk et al. (2012, 2013, 2018, 2021a, b). Sediment cores were recovered using gravitiy and piston corers. For paleo- and rock magnetic analyses clear plastic boxes of 20×20×15 mm were pressed into the split halves of the generally 1 m long sections of the sediment cores. Data are provided as 12 ASCII files (.dat, one for each core) with metadata header and are decribed in the associated data description file (pdf).
    Keywords: sediment magnetization ; Black Sea ; Palaeomagnetism ; Magnetic properties ; Palaeointensity ; Magnetic fabrics and anisotropy ; EPOS ; multi-scale laboratories ; paleomagnetic and magnetic data ; paleomagnetic data ; Core ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC DECLINATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC INCLINATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 PALEOMAGNETISM ; remanent magnetisation 〉 demagnetisation type AF ; Sedimentary
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  • 84
    Publication Date: 2021-08-17
    Description: Abstract
    Description: This dataset is supplemental to the paper Wallis et al. (2020) and contains data derived from syn-chrotron X-ray diffraction, electron backscatter diffraction (EBSD), high-angular resolution electron backscatter diffraction (HR-EBSD), and scanning transmission electron microscopy (STEM). The da-taset consists primarily of measurements of the effect of annealing on stress heterogeneity meas-ured by X-ray diffraction; maps of lattice orientation measured by EBSD; maps of lattice rotations, densities of geometrically necessary dislocations (GNDs), and heterogeneity in residual stress measured by HR-EBSD; and images of dislocations obtained by STEM. Data are provided as 66 tab delimited text files organised and labelled by the figure in which they first appear within Wallis et al. (2020). Table 1 of the data description file presents an overview of the datasets and Table 2 provides a description of each data file. Data types are also indicated in the file names.
    Keywords: Low-temperature plasticity ; olivine ; synchrotron X-ray diffraction ; electron backscatter diffraction ; EBSD ; high-angular resolution electron backscatter diffraction ; HR-EBSD ; scanning transmission electron microscopy ; STEM ; geometrically necessary dislocation ; GND ; residual stress ; EPOS ; multi-scale laboratories ; rock and melt physical properties ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 IGNEOUS ROCKS 〉 IGNEOUS ROCK PHYSICAL/OPTICAL PROPERTIES 〉 HARDNESS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES 〉 COMPOSITION/TEXTURE ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES 〉 HARDNESS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; Hardness ; Multi Anvil ; olivine ; Strength 〉 Yield Strength ; Triaxial
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  • 85
    Publication Date: 2021-08-17
    Description: Abstract
    Description: We have installed 19 new Global Navigation Satellite System (GNSS) markers in the Hindu Kush (NE-Afghanistan) and the North Pamir front (Alai valley) and measured a total of 25 new and existing markers, if possible annually between 2014 and 2020 in survey mode. The stations are positioned along three profiles crossing the NE-striking Panjsheer fault and N-striking Badakhshan fault in the Hindu Kush, and the E-striking Pamir thrust system at the Trans Alai Range. The Hindu Kush survey data are the first of their kind in Afghanistan. The Pamir profile densifies a 1 Hz-GNSS profile that was installed in the Altyndara valley in 2013-2015; the GNSS time-series are affected by the 2015 Mw7.2 Sarez, Central Pamir, earthquake and probably the 2016 Mw6.4 Sary-Tash earthquake. The data are presented in receiver independent exchange (RNX) format and complemented by logsheets, field photos and a technical report describing the surveys in more detail.
    Description: Methods
    Description: The markers are 100 mm long stainless steel rods of 8 mm diameter drilled and glued into bedrock. Marker positions were measured for nearly 48 hrs per measurements at a sampling rate of 30 s. For each profile, we collected data roughly in the same time of the year to minimize seasonal signal contributions. In Afghanistan, we used Trimble NetR9 receiver and Trimble Zephyr Geodetic 2 antenna (TRM57971.00 ) on a leveled spike mount with a fixed height of 12.2 cm. In the Pamir, we used a Topcon GP-1000 receiver and a Topcon TPSPG_A1 antenna on a 15 cm long spike mount that was leveled by three additional screws, providing horizontal adjustment for the table embracing the central spike. In all surveys the antenna cable plug was oriented towards North whenever possible. Measurement conditions were archived on paper log sheets and photographs. Trimble and Topcon proprietary data formats were converted to ASCII-files using the Trimble software "runpkr00", and then into exchangeable RINEX data using the software "TEQC" (https://doi.org/10.1007/PL00012778), which can be downloaded from the UNAVCO webpage. At a last stage, mandatory metadata - e.g. antenna and receiver types, marker names, antenna offsets - were added to the header information of the RINEX files.
    Description: TechnicalInfo
    Description: The presented data include daily observations in Receiver INdependent EXchange (RINEX) format. These are organized in yearly and daily folders ("RNX/YYYY/DOI/"). Further documentation is found in the technical report ("ReportFieldWork.pdf") with additional details regarding the installation and (re-)measurement of the network, logsheets documenting additional survey parameters ("logsheets") and example pictures taken during data acquisition ("photos").
    Keywords: survey mode measurements ; Panjsheer fault ; Badakhshan fault ; Main Pamir Thrust ; Altyndara ; Alai valley ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GNSS RECEIVER ; EARTH SCIENCE 〉 OCEANS 〉 MARINE GEOPHYSICS 〉 PLATE TECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 OROGENIC MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 SUBDUCTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT RATE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 LITHOSPHERIC PLATE MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 GLOBAL POSITIONING SYSTEMS ; land 〉 world 〉 Asia 〉 Central Asia
    Type: Dataset , Dataset
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  • 86
    Publication Date: 2021-08-24
    Description: Abstract
    Description: These datasets were used to evaluate the main controls on last ~6 million years erosion rate variability of the northwestern Himalaya. The Earth’s climate has been cooling during the last ~15 million years and started fluctuating between cold and warm periods since ~2-3 million years ago. Many researchers think that these long-term climatic changes were accompanied by changes in continental erosion. However, quantifying erosion rates in the geological past is challenging, and previous studies reached contrasting conclusions. In this study, we quantified erosion rates in the north-western Indian Himalaya over the past 6 million years by measuring in situ-produced cosmogenic 10Be in exhumed older foreland basin sediments. The 10Be is produced by cosmic rays in minerals at the Earth's surface, and its abundance indicates erosion rates. Our reconstructed erosion rates show a quasi-cyclic pattern with a periodicity of ~1 million year and a gradual increase towards the present. We suggest that both patterns—cyclicity and gradual increase—are unrelated to climatic changes. Instead, we propose that the growth of the Himalaya by repeatedly scraping off rocks from the Indian plate (basal accretion), resulted in changes of its topography that were accompanied by changes in erosion rates. In this scenario, basal accretion episodically changes rock-uplift patterns, which brings landscapes out of equilibrium and results in quasi-cyclic variations in erosion rates. We used numerical landscape evolution simulations to demonstrate that this hypothesis is physically plausible. Datasets provided here includes summary of the location, depositional age, and stratigraphic position of 41 Siwalik sandstone samples collected from the Haripur section in Himachal Pradesh, India (Dataset S1); 10Be analysis results of Siwalik samples (2021-006_Mandal-et-al_Dataset-S1); sample location and 10Be analysis results of modern river sands from the Yamuna River and its tributaries near the Dehradun Basin (2021-006_Mandal-et-al_Dataset-S2); input parameters for the calculation of paleoerosion rates (2021-006_Mandal-et-al_Dataset-S3); and reconstructed 10Be paleoconcentrations and paleoerosion rates (Dataset S4). Moreover, the data include a compilation of published magnetostratigraphy-derived sediment accumulation rates in the late Cenozoic Himalayan foreland basin (2021-006_Mandal-et-al_Dataset-S5). We also include a movie (2021-006_Mandal-et-al_Movie-S1) that is a complete numerical landscape evolution model run with four consecutive accretion cycles of equal magnitude. For more information (for e.g., sampling method, analytical procedure, and data processing) please refer to the associated data description file and the main article (Mandal et al., 2021).
    Keywords: Himalaya ; cosmogenic 10Be ; paleoerosion rate ; EARTH SCIENCE 〉 CLIMATE INDICATORS 〉 PALEOCLIMATE INDICATORS 〉 BERYLLIUM-10 ANALYSIS ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 SEDIMENTS
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  • 87
    Publication Date: 2021-08-25
    Description: Abstract
    Description: The c. 93 km long profile 1A was recorded in 1987 as part of the joint seismic reflection venture DEKORP 1 of the DEKORP (German Deep Seismic Reflection Program) and BELCORP (Belgian Continental Reflection Seismic Program) project steering groups. It was surveyed to investigate the deep crustal structure of the western Rhenish Massif with high-fold near-vertical incidence vibroseis acquisition. The objectives of the experiment were to analyse deep Variscan and post-Variscan crustal structures in the region and to compare them with the results from the eastern Rhenish Massif gathered from the survey DEKORP 2N. The first results were presented by DEKORP Research Group (1990, 1991) and supplemented by many other researches. The Technical Report of line 1A gives detailed information about acquisition and processing parameters. The European Variscides, extending from the French Central Massif to the East European Platform, originated during the collision between Gondwana and Baltica in the Late Palaeozoic. Due to involvement of various crustal blocks in the orogenesis, the mountain belt is subdivided into distinct zones. The external fold-and-thrust belts of the Rhenohercynian and Saxothuringian as well as the predominantly crystalline body of the Moldanubian dominate the central European segment of the Variscides. Polyphase tectonic deformation, magmatism and metamorphic processes led to a complex interlinking between the units. The Rhenohercynian Zone is a foreland fold-and-thrust belt cropping out in the Rhenish Massif which extends from the Ardennes to the Harz Mountains. This geological unit consists predominantly of Devonian and Lower Carboniferous rocks affected by very low-grade metamorphism (DEKORP Research Group, 1991). The nearly NW-SE running survey 1A starts at the Dutch-Belgian border southeast of Maastricht on the southern flank of the London-Brabant Massif. The seismic line also crosses the northern rim of the Rhenish Massif passing through the Aachen Thrust, a part of the North Variscan Deformation Front. 1A runs over the Stavelot-Venn Anticline into the Northern Eifel intersecting the N-S trending axial depression of the Eifel North-South Zone nearly perpendicularly to its strike direction. The eastern flank of the depression was affected by volcanic activity of the High Eifel Volcanic Field during Early Tertiary times (DEKORP Research Group, 1991). Near Adenau the southern end of line 1A crosses the northern beginning of line DEKORP 1B, which proceeds through the Kelberg Magnetic High farther to the south.
    Description: Other
    Description: The German Continental Seismic Reflection Program DEKORP (DEutsches KOntinentales Reflexionsseismisches Programm) was carried out between 1984 – 1999 as the German national reflection seismic program funded by the Federal Ministry of Research and Technology (BMFT), Bonn [now: the Federal Ministry of Education and Research (BMBF)]. DEKORP was administrated by the former Geological Survey of Lower Saxony (NLfB), Hannover [now: the State Authority for Mining, Energy and Geology (LBEG)]. In 1994 the DEKORP management was taken over by the Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences. The aim of DEKORP was to investigate the deep crustal structure of Germany with high-resolution near-vertical incidence (mostly vibro)seismic acquisition, supplemented by wide-angle seismic and other target-oriented piggy-back experiments, all complemented by optimized methods of data processing and interpretation. The DEKORP project was closely linked with the KTB (German continental deep-drilling program) and was an equivalent to many other deep-seismic programs world-wide such as COCORP, BIRPS, LITHOPROBE, ECORS, CROP, BELCORP, IBERSEIS and many more. The DEKORP-Atlas (Meissner & Bortfeld, 1990) gives a detailed overview about most of the different campaigns and results. In sum, the resulting DEKORP database includes approximately 40 crustal-scale 2D-seismic reflection lines covering a total of ca. 4 700 km and one 3D-seismic reflection survey covering ca. 400 km². Each DEKORP survey is provided with all datasets that are necessary for either a re-processing (i.e. raw unstacked field records in SEGY) or a re-interpretation (i.e. finally processed sections in SEGY or PNG). The raw data are sorted by records or by CDPs. The final data are available as unmigrated or migrated stacks without or with coherency enhancement. Automatical line-drawings are also included. All data come with additional meta information for each domain (source, receiver, CDP) like coordinates, elevations, locations and static corrections combined in ASCII-tables for geometry assignment. Furthermore, all metadata originating from paper copies are made available as scanned files in PNG or PDF, e.g. field and observer reports, location maps in different scales, near-surface profile headers and others. The DEKORP datasets provide unique and deep insights into the subsurface below Germany covering the earth’s crust from the surface to the upper mantle and are increasingly requested by academic institutions and commercial companies. Fields of applications are geothermal development, hazard analysis, hydrocarbon/shale gas exploration, underground gas storage, tunnel construction and much more.
    Keywords: deep crustal structure ; crustal-scale seismic survey ; near-vertical incidence seismic reflection ; Vibroseis acquisition ; Rhenish Massif ; Variscan Orogenic Belt ; Rhenohercynian ; London-Brabant Massif ; Aachen Thrust ; North Variscan Deformation Front ; Stavelot-Venn Anticline ; Eifel North-South-Zone ; High Eifel Volcanic Field ; Mohorovičić discontinuity ; DEKORP ; Deutsches Kontinentales Reflexionsseismisches Programm ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS ; In Situ/Laboratory Instruments 〉 Profilers/Sounders 〉 SEISMIC REFLECTION PROFILERS ; lithosphere 〉 earth's crust
    Type: Dataset , Dataset
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  • 88
    Publication Date: 2021-08-27
    Description: Abstract
    Description: Magmatic volatiles can be considered as the surface fingerprint of active volcanic systems, both during periods of quiescent and eruptive volcanic activity. The spatial variability of gas emissions at Earth’s surface is a proxy for structural discontinuities in the subsurface of volcanic systems. We conducted extensive and regular spaced soil gas surveys within the Los Humeros geothermal field to improve the understanding of the structural control on fluid flow.Surveys at different scales were performed with the aim to identify areas of increased gas emissions on reservoir scale, their relation to unknown/knows volcano-tectonic structures on fault scale favoring fluid flow, and determine the origin of gas emissions. Herein, we show results from a carbon dioxide efflux scouting survey, which was performed across the main geothermal production zone together with soil temperature measurements. We identified five areas with increased carbon dioxide emissions, where further sampling was performed with denser sampling grids to understand the fault zone architecture and local variations in gas emissions.We show that a systematic sampling approach on reservoir scale is necessary for the identification and assessment of major permeable fault segments. The combined processing of CO2 efflux and carbon/helium isotopes facilitated the detection of permeable structural segments with a connection to the deep, high-temperature geothermal reservoir, also in areas with low to intermediate carbon dioxide emissions. The results of this study complement existing geophysical datasets and define further promising areas for future exploration activities in the north- and southwestern sector of the production field.The data are presented as one zip folder with 4 data tables (tab delimited text format) according to the measurement variable. The columns are defined in each data file.
    Keywords: multi-scale soil gas survey ; CO2 efflux ; carbon and helium isotopes ; geothermal exploration ; structural analysis ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 VOLCANIC GASES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE
    Type: Dataset
    Format: 2 Files
    Format: application/octet-stream
    Format: application/octet-stream
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  • 89
    Publication Date: 2021-08-13
    Description: Abstract
    Description: We provide geochemical data for three sites that define a gradient of erosion rates – an “erodosequence”. These sites are the Swiss Central Alps, a rapidly-eroding post-glacial mountain belt; the Southern Sierra Nevada, USA, eroding at moderate rates; and the slowly-eroding tropical Highlands of central Sri Lanka. Specifically, we provide silicon isotope ratios and germanium/silicon ratios and the major element composition of 1) rock, 2) saprolite, 3) soil, 4) plants, 5) river dissolved loads, 6) the soil and saprolite amorphous silica fraction (accessed with a NaOH leach), and 7) the soil and saprolite clay-size fraction (isolated with a differential settling protocol). These data serve two purposes. First, they allow us to improve understanding of the controls on silicon isotopes and germanium/silicon ratios in the 'Critical Zone'. Specifically, we can quantify the fractionation factors (for silicon isotopes) and the exchange coefficients (for germanium/silicon ratios), for secondary mineral precipitation and for biological uptake. Secondly, we can use mass-balance approaches to quantify the partitioning of silicon - a nutrient, and a major rock-forming element - among secondary minerals, plant material, and solutes. All samples are assigned with International Geo Sample Numbers (IGSN), a globally unique and persistent Identifier for physical samples. The IGSNs are provided in the data tables and link to a comprehensive sample description.
    Description: TableOfContents
    Description: This dataset consists of five tables: S1. Analyses of soil, saprolite, and rock from the Swiss Alps study site S2. Analyses of soil, saprolite, and rock from the Sierra Nevada study site S3. Analyses of soil, saprolite, and rock from the Sri Lanka study site S4. Analyses of stream water from the Swiss Alps, Sierra Nevada, and Sri Lanka study sites S5. Analyses of plant material from the Swiss Alps, Sierra Nevada, and Sri Lanka study sites
    Keywords: silicon isotopes ; germanium ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 FORESTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 NUTRIENTS ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 CHEMICAL WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 DECOMPOSITION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 MINERAL DISSOLUTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 CHEMICAL CONCENTRATIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE RATIOS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 WEATHERING
    Type: Dataset , Dataset
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  • 90
    Publication Date: 2021-08-16
    Description: Abstract
    Description: Within the H2020 project DEEPEGS, pressure and temperature gauges were installed behind production casing of well RN-15/DEEPEGS/IDDP-2. Here, we publish the available data gathered from cementing the production casing in 2016 until the end of the DEEPEGS project in 2020. 8 thermocouples were installed behind casing at 329.3 m (TC8), 629.3 m (TC7), 929.3 m (TC6), 1529.3 m (TC5), 1829.3 m (TC4), 2129.3 m (TC3), 2329.3 m (TC2) and 2629.3 m (TC1) depths. In addition, a pressure and temperature gauge was installed at 1229.3 m depths (ERE p/T). All depth are measured depth (MD) below ground level. During installation TC3 was damaged. During cementation, all other TCs as well as the ERE gauge were operating. After the end of drilling, subsequently all TCs except TCs 7 & 8 failed. Until April 2020, data can only be reported for the two remaining thermocouples 7 & 8. Before publication, data was manually cleaned for obvious erroneous readings. Therefore, gaps in the data are inevitable and the readings are not fully continuous.
    Keywords: permanent temperature and pressure monitoring ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL ENERGY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE 〉 TEMPERATURE PROFILES ; energy 〉 energy source 〉 renewable energy source ; industrial process 〉 drilling
    Type: Dataset , Dataset
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  • 91
    Publication Date: 2021-09-03
    Description: Abstract
    Description: The data set comprises Sentinel-1 scene pair-velocity fields, as well as monthly and annually averaged velocity mosaics over Svalbard for the period January 2015 - November 2020. The data are provided as GeoTIFF rasters in UTM (scene-pair velocity fields) and polar stereographic north (mosaics) coordinate reference systems at a spatial resolution of 200 m and were derived by applying a well-established intensity offset tracking algorithm (Strozzi et al., 2002; Wegmüller et al., 2016; Friedl et al., 2018; Wendleder et al., 2018; Seehaus et al., 2018). For tracking, we used consecutive pairs of single or dual polarized Sentinel-1 SLC (Single Look Complex) TOPS (Terrain Observation with Progressive Scans in azimuth) SAR (Synthetic Aperture Radar) images recorded in IW (Interferometric Wide swath) mode at a pixel spacing of ~14 m in azimuth (az) and ~3 m in range (r), and a spatial coverage of ~250 x 250 km. For the time from 2015 to 2016, Sentinel-1 imagery is available at a minimum repeat cycle of 12 days and from 2016 onward at a minimum repeat cycle of 6 days. The Sentinel-1 data were obtained from the ASF (Alaska Satellite Facility) DAAC (Distributed Active Archive Center), https://search.asf.alaska.edu. In case of dual polarized acquisitions (HH+HV or VV+VH), we only used the HH or VV channels for the processing.
    Description: Methods
    Description: Scene pair-velocity fields were generated by applying intensity offset tracking (feature tracking and speckle tracking) on two subsequent Sentinel-1 images (master and slave scene), using a window size of 250 x 50 pixels and a step size of 50 x 10 pixels. The results were (1) UTM-geocoded and orthorectified with the help of an external digital elevation model (3 arc second TanDEM-X Global DEM, Wessel et al., 2018), (2) filtered with an effective three-step filter approach (Lüttig et al., 2017) that removes 〉 99% of erroneous measurements and (3) corrected for remaining coregistration errors based on the median of the filtered range- and the azimuth-velocities measured over ice-free ground. The effective time stamp of each velocity field is derived as the mean date of the acquisition dates of the master and the slave scene. Annual and monthly mosaics were derived from all filtered and corrected scene pair-velocity products that have a time stamp between 1 January–31 December of a year and between the first and the last day of a month, respectively. Before mosaicking, all scene-pair velocity fields were reprojected to polar stereographic north. We calculated the weighted means of the x- and y-velocity components, the velocity magnitude, the acquisition date, the time separation between the images, the displacement angle relative to true north, as well as the number of measurements per pixel. Additionally, we calculated the weighted standard deviation and the weighted standard error for the x and y velocity components, as well as the velocity magnitude. For averaging we took the SNR (Signal to Noise Ratio) of each velocity measurement pixel as weight. Scene pair-velocity products and mosaics are provided as GeoTIFF rasters. The coverage files, containing the footprints of the Sentinel-1 scenes, are provided as shapefiles (.shp). The corresponding metadatafiles are text files (.txt). Quicklooks of the scene pair-velocities and the mosaics magnitudes (m d-1) are in .png format.
    Keywords: ice velocity ; remote sensing ; feature tracking ; speckle tracking ; Sentinel-1 ; SAR ; Earth Observation Satellites 〉 Sentinel GMES 〉 SENTINEL-1A ; Earth Observation Satellites 〉 Sentinel GMES 〉 SENTINEL-1B ; Earth Remote Sensing Instruments 〉 Active Remote Sensing 〉 Imaging Radars 〉 SENTINEL-1 C-SAR ; EARTH SCIENCE 〉 CRYOSPHERE 〉 GLACIERS/ICE SHEETS 〉 GLACIER MOTION/ICE SHEET MOTION ; EARTH SCIENCE 〉 CRYOSPHERE 〉 GLACIERS/ICE SHEETS 〉 GLACIERS
    Type: Dataset , Dataset
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  • 92
    Publication Date: 2021-09-09
    Description: Abstract
    Description: Reflected signals of Global Navigation Satellite Systems (GNSS) have been investigated for various applications in remote sensing over the last three decades. The overall research field of GNSS reflectometry includes the retrieval of sea ice parameters as an important application. For this purpose, GNSS reflectometry data have been recorded over the Arctic Ocean with a dedicated receiver setup during the MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate). The setup was mounted on the German research icebreaker Polarstern (AWI, 2017) that drifted during nine months of the expedition with the Arctic sea ice. The here described data set comprises the expedition’s first leg in autumn 2019. It includes the drift period of the ship from 27th September until 14th December at about 82°N to 87°N in the Siberian Sector of the Arctic. The data set is based on essential contributions of setup & data recording (by GFZ), maintenance & data transfer (by AWI and MOSAiC partners), processing to data level 1 & documentation (by DLR-SO). The level 1 data consist of GNSS signal power estimates of the direct and reflected signal. Data appear in event files (netcdf format) sorted into day folders. Each event includes observations of a satellite on a continuous track, here, in a satellite elevation range from min. 1° to max. 45°. A dedicated GNSS reflectometry receiver, of GORS (GNSS Occultation Reflectometry Scatterometry) type, was used for the measurements. It is equipped with four antenna front-ends. A master channel and two slave channels are assigned to the front-ends. The master channel tracks the GNSS signal on the direct link. The slave channels are dedicated for observations of reflection events: one at left-handed (LH) and another one at right-handed (RH) circular polarization. The respective up-looking master antenna and port-side looking slave antenna (dual-polarization) are set up with a short baseline on the ship’s observation deck, about 22 m above the water level. The given ship-based geometry results in events with rather short excess paths of the reflected signal relative to the direct signal, much less than the range of a code chip (about 300 m for GPS L1 C/A). Interferometric pattern of direct and reflected signal contributions are observed in the channel. A separation step is required in further processing.
    Keywords: GNSS Reflectometry ; Sea Ice ; relative Permittivity ; MOSAiC ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GNSS RECEIVER
    Type: Dataset , Dataset
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  • 93
    Publication Date: 2021-09-08
    Description: Abstract
    Description: Depth profiles of stable water isotopes in the soil provide important information on flow and transport processes in the subsurface. We sampled depth profiles of stable water isotopes (2H and 18O) in the pore waters on two occasions at 46 sites in the Attert catchment, Luxembourg and are partly located in mixed deciduous forest and partly on grassland. These sites correspond to the sensor cluster sites of the DFG research unit CAOS. Sampling took place once between February 2012 and October 2013 and once in June 2014. Sampling procedure: We took 1-3 soil cores of 8 cm diameter in close proximity with a percussion drill (Atlas Copco Cobra, Stockholm, Sweden) at each study site within a radius of 5 m from the soil moisture sensor profiles. We drilled as deep as possible and divided the extracted soil cores into subsamples of 5 to 10 cm length and sealed the material in air tight bags (Weber Packaging, Güglingen, Germany). The soil sample depths were corrected for compaction during the drilling pro-cess and are provided as the mean depth of 5 or 10 cm soil core subsamples. For isotope analyses of the pore water, we used the direct equilibration method (Wassenaar et al., 2008). Analyses were carried out at the Chair of Hydrology, University of Freiburg. We provide detailed information about the laboratory analyses in Sprenger et al. (2015) and Sprenger et al. (2016) and the data description associated with the data.
    Keywords: Stable isotopes ; Vadose zone ; Pore water ; Soil hydraulic parameter ; Soil hydraulic modelling ; Soil Hydrology ; CAOS ; Catchments as Organised Systems ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 HYDRAULIC CONDUCTIVITY ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL HORIZONS/PROFILE ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL TEXTURE ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 WATER QUALITY/WATER CHEMISTRY 〉 STABLE ISOTOPES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS
    Type: Dataset , Dataset
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  • 94
    Publication Date: 2021-09-10
    Description: This experiment comprises data that have been used in Hagemann et al. (submitted). It comprises daily data of surface runoff and subsurface runoff from HydroPy and simulated daily discharges (river runoff) of the HD model. The discharge data close the water cycle at the land-ocean interface so that the discharges can be used as lateral freshwater input for ocean models applied in the European region. a)HD5-ERA5 ERA5 is the fifth generation of atmospheric reanalysis (Hersbach et al., 2020) produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). It provides hourly data on many atmospheric, land-surface, and sea-state parameters at about 31 km resolution. The global hydrology model HydroPy (Stacke and Hagemann, 2021) was driven by daily ERA5 forcing data from 1979-2018 to generate daily input fields of surface and subsurface runoff at the ERA5 resolution. It uses precipitation and 2m temperature directly from the ERA5 dataset. Furthermore, potential evapotranspiration (PET) was calculated from ERA5 data in a pre-processing step and used as an additional forcing for HydroPy. Here, we applied the Penman-Monteith equation to calculate a reference evapotranspiration following (Allen et al., 1998) that was improved by replacing the constant value for albedo with a distributed field from the LSP2 dataset (Hagemann, 2002). In order to initialize the storages in the HydroPy model and to avoid any drift during the actual simulation period, we conducted a 50-years spin-up simulation by repeatedly using year 1979 of the ERA5 dataset as forcing. To generate river runoff, the Hydrological discharge (HD) model (Hagemann et al., 2020; Hagemann and Ho-Hagemann, 2021) was used that was operated at 5 arc minutes horizontal resolution. The HD model was set up over the European domain covering the land areas between -11°W to 69°E and 27°N to 72°N. First, the forcing data of surface and sub-surface runoff simulated by HydroPy were interpolated to the HD model grid. Then, daily discharges were simulated with the HD model. b)HD5-EOBS The E-OBS dataset (Cornes et al., 2018) comprises several daily gridded surface variables at 0.1° and 0.25° resolution over Europe covering the area 25°N-71.5°N x 25°W-45°E. The dataset has been derived from station data collated by the ECA&D (European Climate Assessment & Dataset) initiative (Klein Tank et al., 2002; Klok and Klein Tank, 2009). In the present study, we use the best-guess fields of precipitation and 2m temperature of vs. 22 (EOBS22) at 0.1° resolution for the years 1950-2018. HydroPy was driven by daily EOBS22 data of temperature and precipitation at 0.1° resolution from 1950-2019. The potential evapotranspiration (PET) was calculated following the approach proposed by (Thornthwaite, 1948) including an average day length at a given location. As for HD5-ERA5, the forcing data of surface and sub-surface runoff simulated by HydroPy were first interpolated to the HD model grid. Then, daily discharges were simulated with the HD model. Main reference: Hagemann, S., Stacke, T. Complementing ERA5 and E-OBS with high-resolution river discharge over Europe. Oceanologia. Submitted.
    Type: experiment
    Format: NetCDF
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  • 95
    Publication Date: 2021-09-10
    Description: The data of this experiment have been used in (Hagemann et al., 2020). It comprise daily data of surface runoff and subsurface runoff (drainage) from JSBACH and MPI-HM and simulated daily discharges (river runoff). To generate river runoff, the Hydrological discharge (HD) model (Hagemann et al., 2020; Hagemann and Ho-Hagemann, 2021) was used that was operated at 5 arc minutes horizontal resolution. Different to the published version of HD model parameters (5.0) on Zenodo, an earlier version (4.0) of flow directions and model parameters has been used that is provided as an auxiliary data file. The HD model was set up over the European domain covering the land areas between -11°W to 69°E and 27°N to 72°N. First, the respective forcing data of surface and sub-surface runoff were interpolated to the HD model domain using conservative remapping. Then, daily discharges were simulated with the HD model for the period 1979-2009 (1999-2009 for HD5-MESCAN). In addition, daily discharges were analogously simulated using only JSBACH forcing with the global 0.5° version 1.10 of the HD model. The associated flow directions and model parameters of vs. 1.10 are provided as an auxiliary data file. The HD forcing data are: a)HD5-JSBACH In order to generate daily input fields of surface runoff and drainage, the land surface scheme JSBACH (vs. 3 + frozen soil physics; (Ekici et al., 2014)) was forced globally at 0.5° with daily atmospheric forcing data based on the Interim Re-Analysis of the European Centre for Medium-Range Weather Forecast (ERA-Interim; (Dee et al., 2011)). These forcing data are bias-corrected (see (Beer et al., 2014)) towards the so-called WATCH forcing data (WFD; (Weedon et al., 2011)) that have been generated in the EU project WATCH. b)HD5-MPIHM The MPI-M hydrology model MPI-HM (Stacke and Hagemann, 2012) was driven by daily WATCH forcing data based on ERA-Interim (WFDEI; (Weedon et al., 2014)) from 1979-2009 to generate daily input fields of surface runoff and drainage at global 0.5° resolution. c)HD5-MESCAN Six hourly data of surface runoff and drainage (variable name: percolation) were retrieved from the MESCAN-SURFEX regional surface reanalysis (Bazile et al., 2017) created in the EU project UERRA (Uncertainties in Ensembles of Regional ReAnalysis; www.uerra.eu). SURFEX (Masson et al., 2013) is a land surface platform that was driven by atmospheric forcing at 5.5 km. The forcing comprises 24h-precipitation, near-surface temperature and relative humidity analyzed by the MESCAN surface analysis system as well as radiative fluxes and wind downscaled at 5.5 km from the 3DVar re-analysis conducted with the HARMONIE system at 11 km (Ridal et al., 2017). The latter has been generated using six-hourly fields of the ERA-Interim reanalysis as boundary conditions and covers a domain comprising Europe and parts of the Atlantic, which is similar to the European domain of the Coordinated Downscaling Experiment (CORDEX) at 11 km.
    Type: experiment
    Format: NetCDF
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  • 96
    Publication Date: 2021-09-13
    Description: Abstract
    Description: Neogene indentation of the Adriatic plate into Europe led to major modifications of the Alpine orogenic structures and style of deformation in the Eastern Alps. Especially, the offset of the Periadriatic Fault by the Northern Giudicarie Fault marks the initiation of strike-slip faulting and lateral extrusion of the Eastern Alps. Questions remain on the exact role of this fault zone in changes of the Alpine orogen at depth. This necessitates quantitative analysis of the shortening, kinematics and depth of decoupling underneath the Northern Giudicarie Fault and associated fold-and thrust belt in the Southern Alps. Tectonic balancing of a network of seven cross sections through the Giudicarie Belt parallel to the local shortening direction reveals that it comprises two kinematic domains with different amounts and partly overlapping ages of shortening. This data publication provides the cross sections that were not shown within Verwater et al. (2021, submitted to Solid Earth) (see figure A1.1 for section traces) but show lateral variations in shortening in present-day cross-sections across the study area (section A1.1). Cross sections 1, 5 and 6, which are discussed within the manuscript, will be described in more detail within section A1.2 (cross section 1), A1.3 (cross section 5) and A1.4 (cross section 6). In addition, the approach used for forward modelling in Move will be shown within section A2, as well as alternative kinematic scenarios that were tested for Cross sections 6. Section B describes the methods and datasets used for obtaining the location and depth of seismicity plotted along cross sections 1, 5 and 6 in Verwater et al. (submitted).
    Keywords: Structural Geology ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT RATE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FOLDS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; lithosphere 〉 earth's crust 〉 fault
    Type: Dataset , Dataset
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  • 97
    Publication Date: 2021-09-14
    Description: Abstract
    Keywords: geospatial data ; machine learning ; predictive modelling ; site probability
    Type: Dataset , dataset
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  • 98
    Publication Date: 2021-09-15
    Description: Abstract
    Description: We provide geochemical background data on the partitioning and cycling of elements between rock, saprolite, soil, plants, and river dissolved and solid loads from at three sites along a global transect of mountain landscapes that differ in erosion rates – an “erodosequence”. These sites are the Swiss Central Alps, a rapidly-eroding post-glacial mountain belt; the Southern Sierra Nevada, USA, eroding at moderate rates; and the slowly-eroding tropical Highlands of Sri Lanka. The backbone of this analysis is an extensive data set of rock, saprolite, soil, water, and plant geochemical data. This set of elemental concentrations is converted into process rates by using regolith production and weathering rates from cosmogenic nuclides, and estimates of biomass growth. Combined, they allow us to derive elemental fluxes through regolith and vegetation. The main findings are: 1) the rates of weathering are set locally in regolith, and not by the rate at which entire landscapes erode; 2) the degree of weathering is mainly controlled by regolith thickness. This results in supply-limited weathering in Sri Lanka where weathering runs to completion, and kinetically-limited weathering in the Alps and Sierra Nevada where soluble primary minerals persist; 3) these weathering characteristics are reflected in the sites’ ecosystem processes, namely in that nutritive elements are intensely recycled in the supply-limited setting, and directly taken up from soil and rock in the kinetically settings; 4) contrary to common paradigms, the weathering rates are not controlled by biomass growth; 5) at all sites we find a deficit in river solute export when compared to solute production in regolith, the extent of which differs between elements but not between erosion rates. Plant uptake followed by litter erosion might explain this deficit for biologically utilized elements of high solubility, and rare, high-discharge flushing events for colloidal-bound elements of low solubility. Our data and the new metrics have begun to serve for calibrating metal isotope systems in the weathering zone, the isotope ratios of which depend on the flux partitioning between the compartments of the Critical Zone. We demonstrate this application in several isotope geochemical companion papers with associated datasets from the same samples. All samples are assigned with International Geo Sample Numbers (IGSN), a globally unique and persistent Identifier for physical samples. The IGSNs are provided in the data tables and link to a comprehensive sample description in the internet.
    Description: Other
    Description: Part 1: Tables included in this data publication (All tables are included in 2021-001_vonBlanckenburg-et-al_ASS_Data_part-1.xlsx and additionally provided in tab delimited text version): Table A1. Swiss Alps analyses of soil, saprolite, rock Table A2. Swiss Alps analyses of water samples Table A3. Swiss Alps analyses of plant samples from the Swiss Alps Table SN1. Sierra Nevada analyses of soil, saprolite, rock Table SN2. Sierra Nevada analyses of water samples Table SN3. Sierra Nevada analyses of plant samples Table SL1. Sri Lanka analyses of soil, saprolite, rock Table SL2. Sri Lanka analyses of water samples. Element concentration analyses and pH Table SL3. Sri Lanka analyses of plant samples Table C1. Summary of principle ASS site characteristics Table C2. Compilation of Denudation rates from river cosmogenic nuclides in river sediment and soil associated production rates Table C3. Compilation of soil production rates, CDF, and chemical weathering rates of ASS sites Table C4. Fractional contributions of endmembers from a inversion of dissolved elements in streams Table C5. Flux Summary: Plant uptake rates, recycling ratios, and dissolved export efficiency Table C6. Data quality control for plant concentration analyses Part 2: Supplementary Data included in this data publication (file: 2021-001_vonBlanckenburg-et-al_ASS_Data_part-2.pdf): 1. Sources of River Solutes from End Member Mixing Analysis (EMMA) 2. Reassessment of Dust Input in the Sierra Nevada 3. Rock and Regolith Mineralogical Composition from X_Ray Diffraction ((XRD)
    Keywords: river water ; vegetation ; vegetation chemical composition ; EARTH SCIENCE 〉 BIOSPHERE 〉 AQUATIC ECOSYSTEMS 〉 RIVERS/STREAM HABITAT ; EARTH SCIENCE 〉 BIOSPHERE 〉 ECOLOGICAL DYNAMICS 〉 ECOSYSTEM FUNCTIONS 〉 NUTRIENT CYCLING ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 FORESTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 NUTRIENTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 PHOSPHORUS ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 CHEMICAL WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 DECOMPOSITION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 MINERAL DISSOLUTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 CHEMICAL CONCENTRATIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE RATIOS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 WEATHERING
    Type: Dataset , Dataset
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  • 99
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    Unknown
    WDCC
    Publication Date: 2021-09-23
    Description: The Bias Corrected CESMv1 data for current (2006-2015) and future (2091-2100) for RCP8.5 emission scenario at coarser resolution has been downscaled to 10km resolution over India using the Weather Research and Forecasting (WRF) model. The climate variables included are 2m Temperature, relative humidity, wind speed, total precipitation, mean surface shortwave flux, top-of-atmosphere outgoing longwave radiation, mean surface latent and sensible heat fluxes along with the latitude, longitude, and time information. The dataset covers the Indian National Territory region at a 369 x 369 grid. The data is available at three temporal resolutions: Daily TS, Monthly TS, and Monthly Climatology. The dataset has been structured into a total of 60 files (10 variables x 3 temporal resolutions x 2 periods packed in self-explanatory NetCDF format. The daily, monthly, and monthly climatology files contain 369x369x3650, 369x369x30, and 369x369x12 data points, respectively. The entire dataset is about 100 GB in size. The WRF version used for this project is WRF 3.8.1. . The WRF-ARW source codes and suitable tutorials are available free to users as an open-source model in the NCAR’s https://www2.mmm.ucar.edu/wrf/users/download/get_sources.html website.
    Type: experiment
    Format: NetCDF
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  • 100
    Publication Date: 2021-09-20
    Description: Abstract
    Description: The 'Earthquake Network’ (EQN) is an app which detects earthquakes by creating an ad-hoc network of smartphones' accelerometer sensors and provides early warnings for earthquakes via the same smartphone app. Detections are not due to individual smartphone measurements but due to near-simultaneous trigger signals from clusters of smartphones running the app. Therefore detections are normally located in the closest populated regions to an earthquake's epicentre. These datasets compare sets of detections with the earthquake parameters published by seismic institutes in order to analyse the performance of the EQN network. One dataset contains 550 detections made by EQN between 2017-12-15 and 2020-01-31 in Chile, USA and Italy. Wherever possible, each detection was associated with an earthquake from the parameter catalogue of each country's seismic institute (CSN for Chile, USGS for USA and INGV for Italy). Associations were carried out automatically but also checked manually. The other dataset contains 134 detections from around the world that could be associated to earthquakes with magnitude ≥ M5 or magnitude ≥ M4.5 in Italy and the USA. There are 68 detections that are common to the first dataset. All detections were associated to parameters from the the USGS earthquake parameter catalogue for consistency.
    Description: Methods
    Description: Earthquake parameters were retrieved from the seismic institutes via the FDSN protocol. The two datasets are encoded in csv files using ',' delimiters and with headers on the first row. Additional material is included to explain the contents of each column.
    Description: TableOfContents
    Description: 2021_xxxx_steed-et-al_D1_usa_chl_ita.csv 2021_xxxx_steed-et-al_D2_mag_gt_4.5.csv
    Keywords: Earthquake Network ; earthquakes ; strong motion ; seismic waves ; smartphone ; citizen science ; seismic surface waves ; accelerometry ; ground motion ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES ; geological process 〉 seismic activity 〉 earthquake ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 FDSN ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 IRIS-GSN ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; monitoring 〉 seismic monitoring ; safety 〉 safety system 〉 warning system 〉 early warning system
    Type: Dataset , Dataset
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