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  • 1
    Article
    Article
    The Late Quaternary glaciation of Africa: A regional synthesis
    Associated volumes
    Details Availability
    In: Quaternary international, Oxford [u.a.] : Pergamon Press, 1989, 138(2005), Seite 32-54, 1040-6182
    In: volume:138
    In: year:2005
    In: pages:32-54
    Type of Medium: Article
    ISSN: 1040-6182
    Language: Undetermined
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    GEOMAR CATALOGUE
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  • 2
    Book
    Book
    Snowlines at the last glacial maximum and tropical cooling (2005)
    Amsterdam [u.a.] : Elsevier
    Details Availability
    Keywords: Aufsatzsammlung ; Quartär ; Vergletscherung
    Type of Medium: Book
    Pages: 231 S. , Ill. graph. Darst., Kt. , 28 cm
    Series Statement: Quaternary international 138/139
    Language: English
    Note: Literaturangaben
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    GEOMAR CATALOGUE
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  • 3
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    Multi-sensor global compilation of mid-Holocene sea surface temperatures, based on Mg/Ca and alkenone palaeothermometry and reconstructions obtained using planktonic foraminifera and organic-walled dinoflagellate cyst (2014)
    PANGAEA
    In:  Supplement to: Hessler, Ines; Harrison, S P; Kucera, Michal; Waelbroeck, Claire; Chen, Min-Te; Anderson, Carin; de Vernal, Anne; Fréchette, Bianca; Cloke-Hayes, Angela; Leduc, Guillaume; Londeix, Laurent (2014): Implication of methodological uncertainties for mid-Holocene sea surface temperature reconstructions. Climate of the Past, 10(6), 2237-2252, https://doi.org/10.5194/cp-10-2237-2014
    Details
    Publication Date: 2023-03-03
    Description: We present and examine a multi-sensor global compilation of mid-Holocene (MH) sea surface temperatures (SST), based on Mg/Ca and alkenone palaeothermometry and reconstructions obtained using planktonic foraminifera and organic-walled dinoflagellate cyst census counts. We assess the uncertainties originating from using different methodologies and evaluate the potential of MH SST reconstructions as a benchmark for climate-model simulations. The comparison between different analytical approaches (time frame, baseline climate) shows the choice of time window for the MH has a negligible effect on the reconstructed SST pattern, but the choice of baseline climate affects both the magnitude and spatial pattern of the reconstructed SSTs. Comparison of the SST reconstructions made using different sensors shows significant discrepancies at a regional scale, with uncertainties often exceeding the reconstructed SST anomaly. Apparent patterns in SST may largely be a reflection of the use of different sensors in different regions. Overall, the uncertainties associated with the SST reconstructions are generally larger than the MH anomalies. Thus, the SST data currently available cannot serve as a target for benchmarking model simulations.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 4
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    The China Plant Trait Database (2017)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Plant functional traits provide information about adaptations to climate and environmental conditions, and can be used to explore the existence of alternative plant strategies within ecosystems. Trait data are also increasingly being used to provide parameter estimates for vegetation models. Here we present a new database of plant functional traits from China. Most global climate and vegetation types can be found in China, and thus the database is relevant for global modelling. The China Plant Trait Database contains information on morphometric, physical, chemical and photosynthetic traits from 122 sites spanning the range from boreal to tropical, and from deserts and steppes through woodlands and forests, including montane vegetation. Data collection at each site was based either on sampling the dominant species or on a stratified sampling of each ecosystem layer. The database contains information on 1215 unique species, though many species have been sampled at multiple sites. The original field identifications have been taxonomically standardized to the Flora of China. Similarly, derived photosynthetic traits, such as electron-transport and carboxylation capacities, were calculated using a standardized method. To facilitate trait-environment analyses, the database also contains detailed climate and vegetation information for each site.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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    The China Plant Trait Database, link to database in Microsoft ACCESS (accdb) format (zipped) (2017)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: China
    Type: Dataset
    Format: application/zip, 892.7 kBytes
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  • 6
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    The China Plant Trait Database, link to database in CSV format (zipped) (2017)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: China
    Type: Dataset
    Format: application/zip, 312.2 kBytes
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  • 7
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    Multi-sensor global compilation of mid-Holocene (MH) sea surface temperatures (SST) (2014)
    PANGAEA
    Details
    Publication Date: 2024-02-13
    Keywords: 101; 108-658C; 13078-016; 160-964; 160-967D; 160-969; 160-969E; 160-973; 161-974; 161-975; 161-976C; 161-977; 162-984; 165-1002C; 165-999; 167-1012B; 167-1017E; 167-1019C; 175-1078C; 175-1084B; 184-1145; 2; 2004-804-009; 2005-804-004; 2005-804-006; 202-1233; 202-1240; 202-1242; 225514; 225517; 255; 3664N/S; 36C; 79US/Fr; 89; A-7; AD91-17; Adriatic Sea; AGE; Alboran Sea; also published as VM28-122; Angola Basin; Arabian Sea; Arctic Ocean; Atlantic Ocean; AUSCAN; B-3GC; Barrow Canyon; Bay of Bengal; BENGAL FAN; Benguela Current, South Atlantic Ocean; BOFS31/1K; BOFS31#1; BS79-33; BS79-38; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Canarias Sea; Caribbean Sea; CASQ; Cayman Rise, Caribbean Sea; CD159-12; CD53; Center for Marine Environmental Sciences; CEPAG; CH07-98-GGC19; CH69-K09; CH77-02; Charles Darwin; Chatham Rise; CHIPAL; CLIVAMPcruises; Cocos Ridge; Comment; COMPCORE; Composite Core; Congo Fan; D13882; D226; D249; De Soto Canyon; Discovery (1962); DRILL; Drilling/drill rig; E017; East Bight Fracture Zone; East China Sea, Pacific Ocean; Eastern Basin; East Pacific; Emperor Seamounts; Equatorial East Pacific; Event label; FAEGAS_IV; GC; GeoB10029-4; GeoB10038-4; GeoB1023-5; GeoB1710-3; GeoB1711; GeoB1711-4; GeoB1712-4; GeoB3129-1; GeoB3313-1; GeoB3910-2; GeoB4905-4; GeoB5546-2; GeoB5844-2; GeoB5901-2; GeoB6007-2; GeoB6518-1; GeoB7112-5; GeoB7139-2; GeoB7926-2; GEOSCIENCES, MARMARCORE; GGC; GGC-15-1; Giant box corer; Giant gravity corer; Giant piston corer; GIK16773-1; GIK17748-2; GIK17938-2; GIK17940-2; GIK17964-1; GIK18252-3; GIK18287-3; GIK23258-2; GIK23323-1; GINCO 3; GKG; GPC; Gravity corer; Gravity corer (Kiel type); Greenland Rise; Hakuho-Maru; Healy; Healy-Oden Trans-Arctic Expedition; HLY0501-05JPC; HM03-133-25; HOTLINE, HYGAPE; HOTRAX_2005; HU-2003-033-011; HU-84-030-021PC; HU-84-030-021TWC; HU-90-031-019; HU-90-031-044; HU90-13-013; HU-91-039-008; HU-91-045-072; HU-91-045-080; HU-91-045-085; HU91-045-094; HUD90/13; Hudson; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES IX - PAGE; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XIII - PECTEN; IMAGES XII - MARCO POLO; IN68-9; Indian Ocean; Indonesia; IOW225514; IOW225517; James Clark Ross; Jan Mayen; Jean Charcot; JM96; JM96-1207/1-GC; Joides Resolution; JOPSII-6; JR20000727; JR51; JR51GC-35; JT96-09; JT96-09PC; KAL; KAL20; KASTEN; Kasten corer; Kasten corer (1 m**2); Kasten corer 20 cm; KH-01-3; KH-01-3-19; KL; KL-74, AS-12; Knorr; KNR140; KNR140-2-51GGC; KNR140-51GGC; KNR176-2; KNR176-JPC32; KOL; KS310; Kurilen Trench; KY07-04-PC1; LAPAZ21P; LC21, LC-21; Leg108; Leg160; Leg161; Leg162; Leg165; Leg167; Leg175; Leg184; Leg202; Le Noroit; Le Suroît; LINK14; M20/2; M34/4; M35/1; M35003-4; M39/1; M39/1_08-3; M39008-3; M40/4; M40/4_SL78; M40/4_SL78-3; M40/4_SL80; M40/4_SL82; M41/1; M42/4b; M44/1; M44/1_71MC; M44/3; M45/1; M45/5a; M47/3; M53/1; M6/5; M6/6; M7/2; M7/4; Marge Ibérique; Marion Dufresne (1972); Marion Dufresne (1995); Marmara Sea; MARUM; Material; MD01-2334; MD012378; MD01-2378; MD012390; MD01-2390; MD012392; MD01-2392; MD012394; MD01-2394; MD012404; MD01-2404; MD012412; MD01-2412; MD012416; MD01-2416; MD01-2430; MD01-2443; MD022529; MD02-2529; MD022575; MD02-2575; MD032611G; MD03-2611G; MD03-2707; MD04-2747CQ; MD04-2797CQ; MD052904; MD05-2904; MD052928; MD05-2928; MD101; MD106; MD111; MD114; MD122; MD123; MD126; MD127; MD13; MD131; MD147; MD148; MD77-194; MD79-257; MD81; MD81-LC21; MD85674; MD94-103; MD952011; MD95-2011; MD952015; MD95-2015; MD952033; MD95-2033; MD952040; MD95-2040; MD952042; MD95-2042; MD952043; MD95-2043; MD972120; MD97-2120; MD972121; MD97-2121; MD972125; MD97-2125; MD972141; MD97-2141; MD972142; MD97-2142; MD972146; MD97-2146; MD972148; MD97-2148; MD972151; MD97-2151; MD982162; MD98-2162; MD982165; MD98-2165; MD982170; MD98-2170; MD982176; MD98-2176; MD982181; MD98-2181; MD982193; MD98-2193; MD992220; MD99-2220; MD99-2227; MD99-2251; MD99-2254; MD99-2269; MD99-2284; MD99-2346; ME0005A; ME0005A-24JC; Mediterranean Sea; Melville; Meteor (1986); MONITOR MONSUN; MR00-K03-PC01; MUC; MultiCorer; N.Iceland shelf, Reykjafjardarall; N. Shetland channel; NA87-22; Namibia continental slope; NEAP; NEAP-17K; NE-Brazilian continental margin; NEMO; Newfoundland margin; North Atlantic; Northeast Atlantic; Northeast Brasilian Margin; Northern Red Sea; North Pacific Ocean; North-West African margin; Northwest Atlantic; OCE326-GGC26; OCE326-GGC30; off Cameroon; off Chile; OSIRIS4; OSIRIS III; PABESIA; Pacific Ocean; PAKOMIN; PALAEOFLUX; Papua Plateau; PC; PC-17; PC-2; PC-4; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PL07-39PC; PL-96-112; Porto Seamount; Portuguese Margin; Professor Logachev; PUCK; RAPID-12-1K; RC24; RC24-16; Reference/source; Reykjanes Ridge; ride Calmar; RL11; RN88-PC5; RN92-PC3; RN92-PC4; RN93-PC1; RN93-PC3; RN93-PC4; RN93-PC6; RN94-PC3; RN96-PC1; Robert Conrad; Rockall; ROMANCHA; Sample code/label; SCS90-36; Sea of Marmara; Sea surface temperature, annual mean; Sea surface temperature, summer; Sea surface temperature, winter; Ship of opportunity; Sierra Leone Basin/Guinea Basin; SL; SO102/1; SO115; SO115_05; SO115_40; SO136; SO136_011GC; SO139; SO139-74KL; SO156/2; SO184/1; SO42; SO42-74KL; SO80_4; SO80a; SO90; SO90_93KL; SO93/3; SO93/3_126KL; SO95; Sonne; South Atlantic Ocean; South China Sea; South-East Pacific; Southern Ocean; Southern Okhotsk Sea; South Pacific Ocean; SSDP102; St.14; SU81-18; SUNDAFLUT; Sunda Shelf; TASQWA; TC; Timor Sea; Tirreno Sea; TN057-21; TR163-19; TR163-22; Trigger corer; TTR-17_MS419; TTR-17/1; TY93-905; upper Laurentien Island; V19; V19-27; V19-28; V19-30; V21; V21-30; V28; V28-122; V30; V30-36; Vema; Victor Hensen; Vietnam shelf; Voring Plateau; W8709A; W8709A-8TC; Wecoma; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 6357 data points
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  • 8
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    Additional information for previously unpublished age records (2014)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: 160-964A; 160-969A; 160-973A; 161-974B; 161-975B; Age, 14C AMS; Age, calibrated; Age, comment; Age, dated; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Center for Marine Environmental Sciences; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Eastern Basin; Event label; GeoB3129-1; GeoB5546-2; Gravity corer (Kiel type); Joides Resolution; JOPSII-6; KL; Leg160; Leg161; M40/4; M40/4_SL80; M40/4_SL82; M42/4b; MARUM; Meteor (1986); NE-Brazilian continental margin; Piston corer (BGR type); Sample code/label; SL; Tirreno Sea; Victor Hensen; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 9
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    Harmonized names for the pollen taxa, link to a list in different formats (zipped) (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; ACER
    Type: Dataset
    Format: application/zip, 207.3 kBytes
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  • 10
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    The ACER pollen and charcoal database (2017)
    PANGAEA
    In:  Supplement to: Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Bassinot, Franck C; Polanco-Martínez, Josué M; Harrison, Sandy P; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Burjachs, Francesc; Carrión, José S; Cheddadi, Rachid; Clark, James S; Combourieu-Nebout, Nathalie; Courtney-Mustaphi, Colin J; DeBusk, Georg H; Dupont, Lydie M; Finch, Jemma M; Fletcher, William J; Giardini, Marco; González, Catalina; Gosling, William D; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Heusser, Linda E; Hill, Trevor R; Hope, Geoffrey; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kershaw, A Peter; Kumon, Fujio; Lawson, Ian T; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Magri, Donatella; Marchant, Robert; Margari, Vasiliki; Mayle, Francis E; McKenzie, G Merna; Moss, Patrick T; Müller, Stefanie; Müller, Ulrich C; Naughton, Filipa; Newnham, Rewi M; Oba, Tadamichi; Pérez-Obiol, Ramon P; Pini, Roberta; Ravazzi, Cesare; Roucoux, Katherine H; Rucina, Stephen M; Scott, Louis; Takahara, Hikaru; Tzedakis, Polychronis C; Urrego, Dunia H; van Geel, Bas; Valencia, Bryan G; Vandergoes, Marcus J; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): The ACER pollen and charcoal database: a global resource to document vegetation and fire response to abrupt climate changes during the last glacial period. Earth System Science Data, 9(2), 679-695, https://doi.org/10.5194/essd-9-679-2017
    Details
    Publication Date: 2024-04-25
    Description: Quaternary records provide an opportunity to examine the nature of the vegetation and fire responses to rapid past climate changes comparable in velocity and magnitude to those expected in the 21st century. The best documented examples of rapid climate change in the past are the warming events associated with the Dansgaard-Oeschger (D-O) cycles during the last glacial period, which were sufficiently large to have had a potential feedback through changes in albedo and greenhouse gas emissions on climate. Previous reconstructions of vegetation and fire changes during the D-O cycles used independently constructed age models, making it difficult to compare the changes between different sites and regions. Here we present the ACER (Abrupt Climate Changes and Environmental Responses) global database which includes 93 pollen records from the last glacial period (73-15 ka) with a temporal resolution better than 1,000 years, 32 of which also provide charcoal records. A harmonized and consistent chronology based on radiometric dating (14C, 234U/230Th, OSL, 40Ar/39Ar dated tephra layers) has been constructed for 86 of these records, although in some cases additional information was derived using common control points based on event stratigraphy. The ACER database compiles metadata including geospatial and dating information, pollen and charcoal counts and pollen percentages of the characteristic biomes, and is archived in Microsoft ACCESS(TM).
    Keywords: Abrupt Climate Changes and Environmental Responses; ACER
    Type: Dataset
    Format: application/zip, 6 datasets
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