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  • 1
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    Unknown
    PANGAEA
    Publication Date: 2023-03-08
    Keywords: AGE; Age, maximum/old; Age, minimum/young; LATITUDE; LONGITUDE; OUTCROP; Outcrop sample; Paleoclimate Database of the Quaternary; PKDB; PKDB162100; Snow line elevation
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 2
    Publication Date: 2023-02-07
    Keywords: Calcium carbonate; DEPTH, sediment/rock; Event label; Inle4; Insoluble material; Lake Inle; Lake Inle, Shan State, Myanmar; Loss on ignition; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 164 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Hope, Geoffrey S; van der Kaars, Sander; Finn, Janet; Moe, Kyaw Z (2019): Holocene environmental change at Inle Lake, Shan State, Myanmar, and its implications for the regional development of agriculture. Palaeogeography, Palaeoclimatology, Palaeoecology, 523, 18-29, https://doi.org/10.1016/j.palaeo.2019.03.018
    Publication Date: 2023-02-23
    Description: We report pollen, charcoal and diatom records from the upper 4 m of a core from Inle Lake, Myanmar, spanning the entire Holocene, to investigate the changing palaeoenvironments in which early agriculture developed. From 12,000 to 10,500 cal yr BP a grass swamp existed until it was flooded by rising lake levels, indicated by the onset of marl deposition at the site. The onset of higher lake levels coincided with a transition from conifer-rich forest to mixed deciduous-evergreen forest, and a reduction in local biomass burning. Lake levels remained high until 6400 cal yr BP, thereafter fluctuating with possible dry phases at 4050, 2400 and 1100 cal yr BP. Increased burning is apparent from 2200 cal yr BP inferred to represent the onset of human forest clearance to its very reduced state today. The Inle Lake record compares with Holocene sequences in China, Thailand and India and marine cores south of Myanmar, which similarly show a regional pattern of drier conditions in the early Greenlandian stage, followed by maximum lake levels in the early Northgrippian stage. Fluctuating lake levels are evident in the later Northgrippian and Meghalayan stages after 6000 cal yr BP. This pattern coincides with precessional reduction in summer insolation in the region, which weakens the Asian Monsoon. The present-day bare catchments of Inle Lake probably mostly resulted from forest destruction over the last 2000 years although hints of human presence can be inferred throughout the older record.
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 4
    Publication Date: 2023-06-27
    Keywords: Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Calendar age, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Inle4; Lake Inle; Lake Inle, Shan State, Myanmar; Latitude of event; Longitude of event; Negya; Negya Marsh; Sample, optional label/labor no; Sample code/label; δ13C; δ13C, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 82 data points
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  • 5
    Publication Date: 2023-06-27
    Keywords: Bird_Obs; Bird Observatory; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Lake Inle, Shan State, Myanmar; Stratigraphy
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 6
    Publication Date: 2023-06-27
    Keywords: AUG; Auger; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Golden_Island; Golden Island; Lake Inle, Shan State, Myanmar; Stratigraphy
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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  • 7
    Publication Date: 2023-06-27
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Lake Inle, Shan State, Myanmar; Stratigraphy; Zayatki; Zayatki Village
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
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  • 8
    Publication Date: 2023-06-27
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Lake Inle, Shan State, Myanmar; Negya; Negya Marsh; Stratigraphy
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 9
    Publication Date: 2024-03-06
    Keywords: Acacia; Acalypha-type; AGE; Alchornea-type; Alnus; Alternanthera-type; Anemone-type; Anthoceros-type; Apiaceae; Arecaceae; Artemisia-type; Asplenium-type; Asteraceae Liguliflorae; Asteraceae Tubuliflorae; Aulacoseira granulata; Aulacoseira sp.; Baccaurea-type; Betula; Bombax-type; Botryococcus; Brassicaceae; Carbon, organic, total; Carbon, organic/Nitrogen, total ratio; Carbonates; Carpinus; Caryophyllaceae; Castanopsis; Celtis; Ceratopteris; Charcoal; Chenopodiaceae/Amaranthaceae; Cocconeis placentula; Coelastrum; Concentration of spike; Convolvulaceae; Corylus; Cunoniaceae; Cupressaceae; Cymbella sumatriensis; Cyperaceae; Davallia-type; DEPTH, sediment/rock; Diatoms; Dipterocarpaceae; Duabanga-type; Echium-type; Elaeocarpaceae; Epithemia cistula; Epithemia zebra; Ericaceae; Eunotia diodon; Eunotia faba; Euphorbia-type; Event label; Glochidion; Gomphonema gracile; Ilex; Indeterminata; Inle4; Juglans; Lake Inle; Lake Inle, Shan State, Myanmar; Lamiaceae; Leguminosae; Loranthaceae; Lycopodium (counted); Lycopodium phlegmaria; Macaranga-type; Menyanthes-type; Moraceae/Urticaceae; Myrica; Myriophyllum; Myrsinaceae; Myrtaceae; Nauclea-type; Navicula cf. halophila; Navicula pupula; Nitzschia frustulum; Nitzschia spp.; Nymphoides; Olea-type; Ostrya; Pediastrum; Phragmites-type; Phytoliths; Pinus; Plantago; Poaceae; Podocarpus; Polygala-type; Polygonum persicaria-type; Polypodiaceae; Potamogeton-type; Pteridophyta, monolete psilate; Pteris; Pterocarya; Quercus, deciduous; Quercus evergreen; Ranunculus; Rhamnaceae; Rhopalodia gibba; Rosaceae; Rumex; Salix; Sample volume; Sapotaceae/Meliaceae; Scrophulariaceae; Selaginella; Solanum-type; Spike; Spores, trilete; Stauroneis anceps; Stauroneis kriegeri; Sum; Sum algae; sum aquatics; sum fern; sum indetermined pollen; sum trees and shrubs; Surirella delicatissima; Terminalia-type; Trema; Typha-type; Ulmus; Unknown pollen; Utricularia
    Type: Dataset
    Format: text/tab-separated-values, 3175 data points
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  • 10
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    Unknown
    PANGAEA
    In:  Supplement to: De Deckker, Patrick; van der Kaars, Sander; Macphail, Michael K; Hope, Geoffrey S (2019): Land-sea correlations in the Australian region: 460 ka of changes recorded in a deep-sea core offshore Tasmania. Part 1: the pollen record. Australian Journal of Earth Sciences, 66(1), 1-15, https://doi.org/10.1080/08120099.2018.1495100
    Publication Date: 2024-03-06
    Description: Long, well-dated records of climate change in Australia are rare because most of the continent is prone to deflation and sediments are difficult to date beyond 40,000 years. Deep-sea cores containing terrigenous material provide an ideal alternative to terrestrial records, because of continuous sedimentation and a robust chronology derived from oxygen isotopes. In this paper, the second of a series of two, we present pollen and spores data from core Fr1/94-GC3 from the East Tasman Plateau. This core is positioned at the southern extreme of the East Australia Current and simultaneously records changes in both oceanography and environments both offshore and in southeastern Australia. In an area of slow sedimentation, this core provides a continuous record of vegetation change in southeastern Australia and the southern Tasman Sea over approximately the last half a million years. Through time, glacial periods have progressively become warmer and shorter. Alpine plant taxa become more restricted with time and rainforest taxa expand to a far more restricted degree during the present interglacial period than the previous one, representing a fundamental shift in the vegetation of Tasmania. We apply transfer functions to reconstruct past rainfall and land temperatures based on the palynoflora which are then compared against the marine proxy record.
    Keywords: Acacia; Acaena; Amperea; Apiaceae; Araucariaceae; Arecaceae; Ascarina; Astelia; Asteraceae Tubuliflorae; Astrotrichia; Banksia; Beyeria; Brassicaceae; Casuarinaceae; Chenopodiaceae; Convolvulaceae; Coprosma; Correa; Culcita; Cupaniopsis; Cupressaceae; Cyathea; Cyperaceae; Dacrycarpus; Dacrydium; DEPTH, sediment/rock; Dichosciadium; Dicksonia; Dodonaea; Donatia; Epacris-Richea type; Eucalyptus; Event label; FR1/94-GC3; GC; Gentianaceae; Gleichenia; Gonocarpus; Goodenia; Grammitis; Gravity corer; Gunnera; Gyrostemon; Haloragis; Hepaticeae; Hibbertia; Histiopteris; Homalanthus; Hypolepis; Indeterminata; Isoetes; Lagarostrobos; Leguminosae; Leptospermum; Loranthaceae; Lycopodium australianum; Lycopodium deuterodensum; Lycopodium fastigiatum; Lycopodium laterale; Lycopodium scariosum; Lycopodium varium; Macaranga; Melaleuca; Meliacaceae; Micrantheum; Microcachrys; Microsorium; Microstrobos; Monotoca; Muehlenbeckia; Myoporaceae; Myrtaceae; Nothofagus; Nypa; Phebalium; Phyllocladus; Pinus; Plantago; Poaceae; Podocarpus; Pollen, alpine taxa; Pollen, herbal; Pollen, mangrove; Pollen, rainforest; Pollen, sclerophyll forest; Pollen, sclerophyll shrub-herbs; Pollen, total; Pollen, tricolporate; Pollen, wet sclerophyll forest; Pollen indeterminata; Pomaderris; Potamogeton; Proteaceae; Pteridium; Pteridophyta; Pteris; Restionaceae; Rhamnaceae; Rumex; Rutaceae; Scrophulariaceae; Selaginella; Southwest Pacific Ocean; Sphagnum; Spores, monolete; Spores, trilete; Stellaria; Thymeleaceae; Tubulifloridites pleistocenicus; Typha; Winteraceae
    Type: Dataset
    Format: text/tab-separated-values, 7314 data points
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