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  • 1
    Publication Date: 2023-01-30
    Description: The COL17c composite record was analyzed based on pollen, charcoal, the elemental composition of bulk sediment obtained by X-Ray fluorescence scanning (XRF) and biomarkers (branched glycerol dialkyl glycerol tetraethers (brGDGTs), n-Alkanes and Hopanes). We aimed to characterize early states of the Atlantic forest to evaluate the link with southern hemisphere climate variability at orbital scales using a sediment core located at the transition between SASM (South american summer monsoon) and subtropical front influence.
    Keywords: Araucaria; Atlantic forest; Brazil; early Pleistocene; Southern Hemisphere; Subtropical Front
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-02-08
    Keywords: Age, tuned to 41kyr; Age model; Araucaria; Atlantic forest; Brazil; COL17c; Colônia Basin, São Paulo, Brazil; COMPCORE; Composite Core; DEPTH, sediment/rock; early Pleistocene; Macrocharcoal; Southern Hemisphere; Subtropical Front
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-02-08
    Keywords: Age, tuned to 41kyr; Age model; Araucaria; Atlantic forest; Brazil; COL17c; Colônia Basin, São Paulo, Brazil; COMPCORE; Composite Core; DEPTH, sediment/rock; early Pleistocene; Microcharcoal; Southern Hemisphere; Subtropical Front
    Type: Dataset
    Format: text/tab-separated-values, 414 data points
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  • 4
    Publication Date: 2023-02-08
    Keywords: Age, tuned to 41kyr; Age model; Araucaria; Atlantic forest; Branched and isoprenoid tetraether index; Brazil; COL17c; Colônia Basin, São Paulo, Brazil; COMPCORE; Composite Core; DEPTH, sediment/rock; early Pleistocene; Hopane; n-Alkane C24-C35; Southern Hemisphere; Subtropical Front; Sum branched glycerol dialkyl glycerol tetraether, IIIa/Sum Branched glycerol dialkyl glycerol tetraether, IIa ratio; Sum brGDGT IIIa, IIa, Iabc; Temperature, air, annual mean; Temperature anomaly
    Type: Dataset
    Format: text/tab-separated-values, 1054 data points
    Location Call Number Limitation Availability
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  • 5
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    PANGAEA
    In:  Supplement to: Prado, Luciana Figueiredo; Wainer, I; Chiessi, Cristiano Mazur; Ledru, Marie-Pierre; Turcq, Bruno Jean (2013): A mid-Holocene climate reconstruction for eastern South America. Climate of the Past, 9(5), 2117-2133, https://doi.org/10.5194/cp-9-2117-2013
    Publication Date: 2023-08-26
    Description: The mid-Holocene (6000 calibrated years before present) is a key period in palaeoclimatology because incoming summer insolation was lower than during the late Holocene in the Southern Hemisphere, whereas the opposite happened in the Northern Hemisphere. However, the effects of the decreased austral summer insolation over South American climate have been poorly discussed by palaeodata syntheses. In addition, only a few of the regional studies have characterised the mid-Holocene climate in South America through a multiproxy approach. Here, we present a multiproxy compilation of mid-Holocene palaeoclimate data for eastern South America. We compiled 120 palaeoclimatological datasets, which were published in 84 different papers. The palaeodata analysed here suggest a water deficit scenario in the majority of eastern South America during the mid-Holocene if compared to the late Holocene, with the exception of northeastern Brazil. Low mid-Holocene austral summer insolation caused a reduced land–sea temperature contrast and hence a weakened South American monsoon system circulation. This scenario is represented by a decrease in precipitation over the South Atlantic Convergence Zone area, saltier conditions along the South American continental margin, and lower lake levels.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 59.8 kBytes
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  • 6
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    PANGAEA
    In:  Supplement to: Seillès, Brice; Sanchez Goñi, Maria Fernanda; Ledru, Marie-Pierre; Urrego, Dunia H; Martinez, Philippe; Hanquiez, Vincent; Schneider, Ralph R (2015): Holocene land-sea climatic links on the equatorial Pacific coast (Bay of Guayaquil, Ecuador). The Holocene, 26(4), 567-577, https://doi.org/10.1177/0959683615612566
    Publication Date: 2024-03-06
    Description: We analyzed the pollen content of a marine core located near the bay of Guayaquil in Ecuador to document the link between sea surface temperatures (SST) and changes in rainfall regimes on the adjacent continent during the Holocene. Based on the expansion/regression of five vegetation types, we observe three successive climatic patterns. In the first phase, between 11,700 and 7700 cal yr BP, the presence of a cloud (Andean) forest in the mid altitudes and mangroves in the estuary of the Guayas Basin, were associated with a maximum in boreal summer insolation, a northernmost position of the Intertropical Convergence Zone (ITCZ), a land- sea thermal contrast, and dryness. Between 7700 and 2850 cal yr BP, the expansion of the coastal herbs and the regression of the mangrove indicate a drier climate with weak ITCZ and low ENSO variability while austral winter insolation gradually increased. The interval between 4200 and 2850 cal yr BP was marked by the coolest and driest climatic conditions of the Holocene due to the weak influence of the ITCZ and a strengthening of the Humboldt Current. After 2850 cal yr BP, high variability and amplitude of the Andean forest changes occurred when ENSO frequency and amplitude increased, indicating high variability in land-sea connections. The ITCZ reached the latitude of Guayaquil only after 2500 cal yr BP inducing the bimodal precipitation regime we observe today. Our study shows that besides insolation, the ITCZ position and ENSO frequency, changes in eastern equatorial Pacific SSTs play a major role in determining the composition of the ecosystems and the hydrological cycle of the Ecuadorian Pacific coast and the Western Cordillera in Ecuador.
    Keywords: Acalypha; Acanthaceae; Adiantaceae; AGE; Alchornea; Alnus; Ambrosia-type; Anacardiaceae; Annonaceae; Anthocerotaceae anthoceros; Apiaceae; Apiaceae daucus-type; Araceae; Araliaceae; Arecacaea dictyocaryum; Arecaceae/Palmaceae-type; Arecaceae triangulaire; Aspleniaceae; Baccharis/Taraxacum-type; Bignoniaceae; Bocconia; Bombacaceae; Bromeliaceae; Burseraceae-type; Cactaceae; Caesalpiniaceae; Caesalpinia senna-type; Campanulaceae; Cerastium/Stellaria-type; Chenopodiaceae/Amarantaceae-type; Clethra; Clusiaceae; Convolvulaceae; Convolvulaceae marIpa-type; Counting, palynology; Cucurbitaceae; Cyathea; Cyatheaceae; Cyperaceae; Daphnopsis; DEPTH, sediment/rock; Diospyros; Dodonea; Drimys; Elaphoglossum; Equisetum; Ericaceae; Euphorbia/Mabea-type; Fabaceae-type; Flacourtiaceae banara-type; Gentianaceae; Grammitidaceae; Hedyosmum; Hyeronima; Ilex; Indeterminable: broken; Indeterminable: corroded; Indeterminable: crumpled; Indeterminable: hidden; Indeterminable: unknown; Iriartea; Juglans; Juncaceae; Lamiaceae; lecythidaceae; Loranthaceae; Lycopodiaceae; M77/2; M77/2_056-3; M77/2_746; Malpighiaceae; Malvaceae; Melastomataceae-type; Meliaceae; Meteor (1986); Mimosa; Myrica; Myrsinaceae; Myrtaceae; Nympheaceae; Onagraceae; Ophioglossaceae; Passiflora; PC; Phyllanthus; Piston corer; Plantago; Poaceae; Podocarpus; Pollen, total; Pollen indeterminata; Polygonaceae; Polylepis/Acaena-type; Polypodium; Pontederia; Proteaceae; Pteridaceae; Rapanea; Renonculaceae; Rhizophora; Rubiaceae alibertia-type; Rubiaceae borreria-type; Rubiaceae manettia-type; Rubiaceae palicourea-type; Rubiaceae rudgea-type; Rutaceae; Sapium; Sapotaceae; Scrophulariaceae lamouroxia; Selaginella; Solanaceae; Spores, monolete; Spores, trilete; Sterculiaceae byttneria-type; Sterculiaceae guazuma; Symplocos; Taxa analyzed; Tetrorchidium; Thalictrum; Typha; Ulmaceae; Urticaceae/Moraceae-type; Vallea; Vicia; Vismia; Weinmannia
    Type: Dataset
    Format: text/tab-separated-values, 16375 data points
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  • 7
    Publication Date: 2024-03-06
    Keywords: Abatia; Acaena/Polylepis; Acalypha; Aegiphila; Age, tuned to 41kyr; Age model; Alchornea; Aloysia; Alternanthera; Amaioua; Anacardiaceae; Anadenanthera; Anemia; Antidaphne; Apiaceae; Araucaria; Arecaceae; Aspidosperma; Asplenium-type; Atlantic forest; Baccharis; Bauhinia; Begoniaceae; Bignoniaceae; Blechnum; Borreria; Botryococcus; Bougainvillea spectabilis; Brassicaceae; Brazil; Bromeliaceae; Bunchosia; Caryocar; Casearia sylvestris; Cecropia; Cedrela; Celtis; Centrolobium; Chenopodium; Cissus-type; Citharexylum; Clematis; Clusia-type; COL17c; Colônia Basin, São Paulo, Brazil; Commelina-type; COMPCORE; Composite Core; Convolvulaceae; Copaifera; Counting, palynology; Croton; Cuphea; Cyathea; Cybianthus; Cyperaceae; Dalechampia; Daphnopsis; DEPTH, sediment/rock; Diploon cuspidatum; Diplopterys; Doliocarpus; early Pleistocene; Ephedra; Ericaceae; Eriocaulon; Eriotheca; Euphorbiaceae; Gomphrena; Guazuma; Heteropterys; Humiriastrum; Huperzia; Hyeronima-type; Hymenophyllum; Ilex; Isoetes; Juncus; Justicia; Lamanonia; Lantana-type; Laplacea fruticosa; Licania; Lippia; Lobelia; Lophosoria; Lycopodium (added); Lycopodium (counted); Lycopodium clavatum; Mandibles; Maprounea; Mauritia; Maytenus; Melastomataceae; Mikania; Mimosa; Moraceae/Urticaceae; Myriophyllum; Myroxylon; Myrsine; Myrtaceae; Nothofagus aff. dombeyi; Onagraceae; Ophioglossum; Orthomene; Palicourea; Passifloraceae; Paullinia; Pereskia-type; Phyllanthus; Piperaceae; Piptocarpha; Poaceae; Podocarpus; Pollen; Pollen richness; Polygalaceae; Polypodiaceae; Potamogeton; Pouteria; Prockia; Protium; Pseudopiptadenia; Psittacanthus; Pteris; Ramisia; Rhamnaceae; Roupala; Sapium; Sauvagesia erecta; Schefflera; Sebastiania; Selaginella; Senna; Sida; Simarouba; Sloanea; Solanaceae; Southern Hemisphere; Sphagnum; Stifftia; Stigmaphyllon; Struthanthus; Subtropical Front; Symplocos; Tetraploa; Tovomita; Trema; Trichomanes-type; Trigonia-type; Tripodanthus; Urvillea; Utricularia; Vernonanthura; Virola; Vochysiaceae; Volume; Wahlenbergia; Waltheria; Weinmannia; Xylosma; Zanthoxylum; Zollernia
    Type: Dataset
    Format: text/tab-separated-values, 21112 data points
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  • 8
    Publication Date: 2024-03-01
    Keywords: Age, tuned to 41kyr; Age model; Araucaria; Atlantic forest; Boron; Brazil; Calcium; COL17c; Colônia Basin, São Paulo, Brazil; COMPCORE; Composite Core; Depth, composite; early Pleistocene; Incoherence/coherence ratio; Iron; Manganese; Potassium; Rubidium; Silicon; Southern Hemisphere; Strontium; Subtropical Front; Titanium; X-ray fluorescence (XRF); Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 14350 data points
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  • 9
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    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
    Publication Date: 2024-05-27
    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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  • 10
    Publication Date: 2024-05-27
    Keywords: 161-976; Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; AGE; Alboran Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Classical age-modeling approach, CLAM (Blaauw, 2010); COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg161; Pollen, temperate forest; Sample ID; Type of age model
    Type: Dataset
    Format: text/tab-separated-values, 1742 data points
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