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  • 1
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    A communal catalogue reveals Earth’s multiscale microbial diversity (2017)
    Nature Research
    In:  Nature, 551 (7681). pp. 457-463.
    Details
    Publication Date: 2020-02-06
    Description: Our growing awareness of the microbial world’s importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial diversity.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1038/nature24621
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 2
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    Glycerol dialkyl glycerol tetraethers (GDGTs) percentage for the surface transect from the New Mongolian-Siberian Data Base (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: The brGDGT abundances was microwave extracted from the sediment using (DCM):MeOH solvent twice. Then the polar and apolar part were separated and undergo High Performance Liquid Chromatography Mass Spectrometery (HPLC-APCI-MS, Agilent 1200) to quantify brGDGT concentration and fractional abundances.
    Keywords: Arid Central Asia; Baikal area; Baikal region; Branched Glycerol dialkyl glycerol tetraethers, fractional abundance Ia; Branched Glycerol dialkyl glycerol tetraethers, fractional abundance Ib; Branched Glycerol dialkyl glycerol tetraethers, fractional abundance Ic; brGDGTs; calibration; climate reconstruction; Date/Time of event; Elevation of event; Event label; Gobi, Mongolia, Asia; High Performance Liquid Chromatography (HPLC-APCI-MS); Khangai, Mongolia, Asia; Khentii, Mongolia, Asia; Latitude of event; Longitude of event; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIIc, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIIc, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; MMNT1M01; MMNT1M02; MMNT2M01; MMNT2M02; MMNT2M03; MMNT2M04; MMNT2M05p; MMNT2M06; MMNT2M07; MMNT3M03; MMNT3M04; MMNT3S01; MMNT3S02; MMNT3S05; MMNT4M09; MMNT4M10; MMNT4S01; MMNT4S02; MMNT4S03; MMNT4S04; MMNT4S05; MMNT4S06; MMNT4S07; MMNT4S08; MMNT4S11; MMNT4S12; MMNT4S13; MMNT4S14; MMNT5C01; MMNT5C03; MMNT5M04; MMNT5M05; Mongolia; MRUT1M01; MRUT1M02; MRUT1M03; MRUT1M04; MRUT1M05; MRUT1M06; MRUT1M07; MRUT1M08; MRUT1M09; MRUT1M10; MRUT1M11; MRUT1M12; Pollen; SURF_S; Surface sample
    Type: Dataset
    Format: text/tab-separated-values, 836 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Elevation, vegetation, samples type and proxy type for the surface transect from the New Mongolian-Siberian Data Base (2021)
    PANGAEA
    Details
    Publication Date: 2023-02-12
    Description: Paleoclimate reconstructions appear to be unavoidable steps in the future climate change understanding and especially the local calibration of the paleoclimate proxies. The Mongolian Plateau in particular, is a scarcely studied area. Here we present a latitudinal transect from the southern Siberian Baikal area to the Mongolian part of the Gobi desert: the New Mongolian-Siberian DataBase (NMSDB). The 49 surface samples presented in this dataset are from different types: moss polsters, surface soil samples and lacustrine top-cores. Two paleoclimate proxies have been carried here: pollen analysis and biomarkers (glycerol dialkyl glycerol tetraethers, GDGTs). The actual bioclimate parameters of each sample sites are derived from the ASTER data (NASA, 2014) for the elevation (m a.s.l.) and the WorldClim2.0 interpolated climate database (Fick et Hijmans, 2017) for the climate parameters. The latitude, longitude and elevation as well as the sample type and the proxy type for each site is given in this dataset. We also indicate the main vegetation type surrounding each surface samples.
    Keywords: Abundance; Arid Central Asia; Baikal area; Baikal region; brGDGTs; calibration; climate reconstruction; Date/Time of event; Elevation of event; Event label; Gobi, Mongolia, Asia; Khangai, Mongolia, Asia; Khentii, Mongolia, Asia; Latitude of event; Longitude of event; MMNT1M01; MMNT1M02; MMNT2M01; MMNT2M02; MMNT2M03; MMNT2M04; MMNT2M05; MMNT2M05p; MMNT2M06; MMNT2M07; MMNT3M03; MMNT3M04; MMNT3S01; MMNT3S02; MMNT3S05; MMNT4M09; MMNT4M10; MMNT4S01; MMNT4S02; MMNT4S03; MMNT4S04; MMNT4S05; MMNT4S06; MMNT4S07; MMNT4S08; MMNT4S11; MMNT4S12; MMNT4S14; MMNT5C01; MMNT5C03; MMNT5C11; MMNT5C12; MMNT5M04; MMNT5M05; MMNT5M06; MMNT5M07; Mongolia; MRUT1M01; MRUT1M02; MRUT1M03; MRUT1M04; MRUT1M05; MRUT1M06; MRUT1M07; MRUT1M08; MRUT1M09; MRUT1M10; MRUT1M11; MRUT1M12; Pollen; Sample type; SURF_S; Surface sample; Vegetation community; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 188 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Pollen percentage for the surface transect from the New Mongolian-Siberian Data Base (2021)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Keywords: Abies sibirica; Abundance estimate; Alisma spp.; Alnus spp.; Amaranthaceae; Apiaceae; Arid Central Asia; Artemisia spp.; Asteroideae; Baikal area; Baikal region; Betula spp.; Brassicaceae; brGDGTs; calibration; Calligonum-type; Campanula-type; Cannabis spp.; Carpinus spp.; Caryophyllaceae; Cereal-type; Cichorioideae; climate reconstruction; Convolvulus-type; Corylus spp.; Cyperaceae; Date/Time of event; Dipsacaceae; Elevation of event; Ephedra distachya; Ephedra fragilis; Epilobium-type; Ericaceae; Euphorbia spp.; Event label; Fabaceae; Fumariaceae; Gentiana-type; Geranium-type; Gobi, Mongolia, Asia; Hedera spp.; Helianthemum-type; Hippophae spp.; Hypericum perforatum; Juglans spp.; Juniperus spp.; Khangai, Mongolia, Asia; Khentii, Mongolia, Asia; Lamiaceae; Larix sibirica; Latitude of event; Liliaceae; Longitude of event; Malvaceae; MMNT1M01; MMNT1M02; MMNT2M01; MMNT2M02; MMNT2M03; MMNT2M04; MMNT2M05; MMNT2M05p; MMNT2M06; MMNT2M07; MMNT3M03; MMNT3M04; MMNT3S01; MMNT3S02; MMNT3S05; MMNT4M09; MMNT4M10; MMNT4S01; MMNT4S02; MMNT4S03; MMNT4S04; MMNT4S05; MMNT4S06; MMNT4S07; MMNT4S08; MMNT4S11; MMNT4S12; MMNT4S14; MMNT5C01; MMNT5C03; MMNT5C11; MMNT5C12; MMNT5M04; MMNT5M05; MMNT5M06; MMNT5M07; Mongolia; MRUT1M01; MRUT1M02; MRUT1M03; MRUT1M04; MRUT1M05; MRUT1M06; MRUT1M07; MRUT1M08; MRUT1M09; MRUT1M10; MRUT1M11; MRUT1M12; Nitraria spp.; Papaver spp.; Parnassia palustris; Picea obovata; Pinus sibirica; Pinus sylvestris; Plantago lanceolata; Plantago-type; Plumbaginaceae; Poaceae; Pollen; Polygala-type; Polygonum-type; Populus tremula; Primula-type; Quercus deciduous; Ranunculus-type; Rhamnaceae; Ribes spp.; Rosaceae; Rubiaceae; Rumex-type; Salix spp.; Saxifragaceae; Scrophulariaceae; Sedum-type; Spergularia-type; SURF_S; Surface sample; Tamarix spp.; Thalictrum spp.; Thymelaeaceae; Tribulus spp.; Ulmus spp.; Urtica spp.; Valeriana-type; Veratrum spp.; Zygophyllum spp.
    Type: Dataset
    Format: text/tab-separated-values, 3552 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    New Mongolian-Siberian pollen and brGDGT surface dataset: local calibration for paleoclimate reconstructions (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-18
    Description: Paleoclimate reconstructions appear to be unavoidable steps in the future climate change understanding and especially the local calibration of the paleoclimate proxies. The Mongolian Plateau in particular, is a scarcely studied area. Here we present a latitudinal transect from the southern Siberian Baikal area to the Mongolian part of the Gobi desert: the New Mongolian-Siberian DataBase (NMSDB). The 49 surface samples presented in this dataset are from different types: moss polsters, surface soil samples and lacustrine top-cores. Two paleoclimate proxies have been carried here: pollen analysis and biomarkers (glycerol dialkyl glycerol tetraethers, GDGTs). The actual bioclimate parameters of each sample sites are derived from the ASTER data (NASA, 2014) for the elevation (m a.s.l.) and the WorldClim2.0 interpolated climate database (Fick et Hijmans, 2017) for the climate parameters. Fick, Stephen E., et Robert J. Hijmans. 2017. ' WorldClim 2: New 1-Km Spatial Resolution Climate Surfaces for Global Land Areas: NEW CLIMATE SURFACES FOR GLOBAL LAND AREAS ». International Journal of Climatology 37 (12): 4302‑15. https://doi.org/10/gb2jnq. NASA JPL. 2014. ' ASTER Global Emissivity Dataset, 100-meter, HDF5 ». NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/COMMUNITY/ASTER_GED/AG100.003.
    Keywords: Arid Central Asia; Baikal region; brGDGTs; calibration; climate reconstruction; Mongolia; Pollen
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Bioclimate data for the surface transect from the New Mongolian-Siberian Data Base (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-18
    Keywords: Arid Central Asia; Baikal area; Baikal region; brGDGTs; calibration; climate reconstruction; Date/Time of event; derived and interpolated from ASTER data (NASA, 2014) and WorldClim2.0 database (Fick et Hijmans, 2017); Elevation of event; Event label; Gobi, Mongolia, Asia; Khangai, Mongolia, Asia; Khentii, Mongolia, Asia; Latitude of event; Longitude of event; MMNT1M01; MMNT1M02; MMNT2M01; MMNT2M02; MMNT2M03; MMNT2M04; MMNT2M05; MMNT2M05p; MMNT2M06; MMNT2M07; MMNT3M03; MMNT3M04; MMNT3S01; MMNT3S02; MMNT3S05; MMNT4M09; MMNT4M10; MMNT4S01; MMNT4S02; MMNT4S03; MMNT4S04; MMNT4S05; MMNT4S06; MMNT4S07; MMNT4S08; MMNT4S11; MMNT4S12; MMNT4S14; MMNT5C01; MMNT5C03; MMNT5C11; MMNT5C12; MMNT5M04; MMNT5M05; MMNT5M06; MMNT5M07; Mongolia; MRUT1M01; MRUT1M02; MRUT1M03; MRUT1M04; MRUT1M05; MRUT1M06; MRUT1M07; MRUT1M08; MRUT1M09; MRUT1M10; MRUT1M11; MRUT1M12; Pollen; Precipitation, annual mean; Precipitation, April; Precipitation, August; Precipitation, autumn; Precipitation, December; Precipitation, February; Precipitation, January; Precipitation, July; Precipitation, June; Precipitation, March; Precipitation, May; Precipitation, mean; Precipitation, November; Precipitation, October; Precipitation, September; Precipitation, spring; Precipitation, sum; Precipitation, winter; SURF_S; Surface sample; Temperature, air, annual mean; Temperature, air, April; Temperature, air, August; Temperature, air, autumn; Temperature, air, December; Temperature, air, February; Temperature, air, January; Temperature, air, July; Temperature, air, June; Temperature, air, March; Temperature, air, May; Temperature, air, November; Temperature, air, October; Temperature, air, September; Temperature, air, spring; Temperature, air, winter; Temperature, mean
    Type: Dataset
    Format: text/tab-separated-values, 1824 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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