Pollen and non-pollen palynomorphs counts from Lake Fazilman, Uzbekistan
type: Dataset
creator: Lucas Dugerdil
creator: Guillemette Ménot
creator: Odile Peyron
  type: Person
  family name: Peyron
  given name: Odile
  affiliation: Université de Montpellier
creator: Dilfuza Egamberdieva
  type: Person
  family name: Egamberdieva
  given name: Dilfuza
  affiliation: Central Asian University
  affiliation: Tashkent Institute of Irrigation and Agricultural Mechanization Engineers
creator: Isabelle Jouffroy-Bapicot
creator: Boris Vannière
creator: Jakhongir Alimov
  type: Person
  family name: Alimov
  given name: Jakhongir
  affiliation: National University of Uzbekistan
creator: Elise Luneau
  type: Person
  family name: Luneau
  given name: Elise
  affiliation: Deutsches Archäologisches Institut
  affiliation: Sorbonne Université, Paris, France
creator: Johanna Lhuillier
  type: Person
  family name: Lhuillier
  given name: Johanna
  affiliation: Lumière University Lyon 2
creator: Sébastien Joannin
publisher: PANGAEA
  type: Organization
  disambiguating description: Data Publisher for Earth & Environmental Science
included in data catalog: PANGAEA
  type: DataCatalog
  disambiguating description: Data Publisher for Earth & Environmental Science
date published: 2025-12-09
is part of: https://doi.pangaea.de/10.1594/PANGAEA.987394
additional type: dataset
description: This data table contains the raw pollen and non-pollen palynomorphs counts of a 227 cm-long core core from Lake Fazilman (Fazilman kul, 40.550406 N, 66.589361 E; 1637 m a.s.l.), collected in July 2021 with a 50 cm Russian corer. Pollen was extracted from the sediment samples using standard procedure: (1) carbonate removal with 10% HCl, (2) silicate removal with 10% HF, (3) heavy liquid separation using ZnCl2 and HCl (density 1.1-1.3), (4) filtration after NaOH, and (5) acetolysis to eliminate cellulose and residual organic matter. Samples were stored in glycerin and counted using a BRESSER Science Infinity microscope at 40x and 100x magnification. Full details follow Dugerdil et al., (2025). Absolute concentrations can be calculated using the exotic Lycopodium spores added to each sample (batch 140119321). This information is given is the 4th column of the data table. The sample depth is given in centimeters and the age in year calibrated BP (age-depth model performed with BACON and the IntCal20 calibration curve based on 15 radiocarbon dating; Blaauw et al., 2011; Reimer et al., 2020).
abstract: This data table contains the raw pollen and non-pollen palynomorphs counts of a 227 cm-long core core from Lake Fazilman (Fazilman kul, 40.550406 N, 66.589361 E; 1637 m a.s.l.), collected in July 2021 with a 50 cm Russian corer. Pollen was extracted from the sediment samples using standard procedure: (1) carbonate removal with 10% HCl, (2) silicate removal with 10% HF, (3) heavy liquid separation using ZnCl2 and HCl (density 1.1-1.3), (4) filtration after NaOH, and (5) acetolysis to eliminate cellulose and residual organic matter. Samples were stored in glycerin and counted using a BRESSER Science Infinity microscope at 40x and 100x magnification. Full details follow Dugerdil et al., (2025). Absolute concentrations can be calculated using the exotic Lycopodium spores added to each sample (batch 140119321). This information is given is the 4th column of the data table. The sample depth is given in centimeters and the age in year calibrated BP (age-depth model performed with BACON and the IntCal20 calibration curve based on 15 radiocarbon dating; Blaauw et al., 2011; Reimer et al., 2020).
citation: Flexible paleoclimate age-depth models using an autoregressive gamma process
citation: Occurrence and abundance of 6-methyl branched glycerol dialkyl glycerol tetraethers in soils: Implications for palaeoclimate reconstruction
citation: Identification of novel 7-methyl and cyclopentanyl branched glycerol dialkyl glycerol tetraethers in lake sediments
citation: First paleoenvironmental calibrations for modern pollen rain of Tajikistan and Uzbekistan: A case study of pollen - vegetation functional biogeography of Arid Central Asia
citation: Functional Signatures of Surface Pollen and Vegetation Are Broadly Similar: Good News for Past Reconstructions of Vegetation
citation: Methodology of the last climatic cycle reconstruction in France from pollen data
citation: An improved method to determine the absolute abundance of glycerol dibiphytanyl glycerol tetraether lipids
citation: Extending the known range of glycerol ether lipids in the environment: structural assignments based on tandem mass spectral fragmentation patterns
citation: Climatic Reconstruction in Europe for 18,000 YR B.P. from Pollen Data
citation: Reconstructing biomes from palaeoecological data: a general method and its application to European pollen data at 0 and 6 ka
citation: The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP)
citation: A North European pollen–climate calibration set: analysing the climatic responses of a biological proxy using novel regression tree methods
citation: A method to determine warm and cool steppe biomes from pollen data; application to the Mediterranean and Kazakhstan regions
citation: Weighted averaging partial least squares regression (WA-PLS): Definition and comparison with other methods for species-environment calibration
  type: CreativeWork
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  creator: H John B Birks
  creator: Hilko van der Voet
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  date published: 1993
  pagination: 525-560
  is part of: Multivariate Environmental Statistics, G. P. Patil, and C. R. Rao (eds). Amsterdam: Elsevier Science Publishers B.V. (North-Holland)
  additional type: book chapter
spatial coverage: Place
  geo: GeoCoordinates
    latitude: 40.550406
    longitude: 66.589361
temporal coverage: 2021-07-01T00:00:00
funding: STEPABILITY
  type: MonetaryGrant
  funder: Agence Nationale de la Recherche
size: QuantitativeValue
  value: 5148.0
  unit text: data points
variable measured: Sample code/label
variable measured: DEPTH, sediment/rock
  type: PropertyValue
  unit text: m
  subject of: DefinedTermSet
    has defined term: depth
    has defined term: sediment
    has defined term: rock
    has defined term: Length
variable measured: Calendar age
  type: PropertyValue
  unit text: ka BP
  measurement technique: Age, 14C calibrated, Bacon and IntCal20
  description: according to Blaauw et al., 2011; Reimer et al., 2020
  subject of: DefinedTermSet
    has defined term: Time
variable measured: Lycopodium
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Lycopodium
    has defined term: Abundance or Count
variable measured: Cyperaceae
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Cyperaceae
    has defined term: Abundance or Count
variable measured: Poaceae
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Poaceae
    has defined term: Abundance or Count
variable measured: Artemisia
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Artemisia
    has defined term: Abundance or Count
variable measured: Chenopodiaceae
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Chenopodiaceae
    has defined term: Abundance or Count
variable measured: Pinus diploxylon
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Abundance or Count
variable measured: Pinus indeterminata
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Pinus
    has defined term: Abundance or Count
variable measured: Juniperus
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Juniperus
    has defined term: Abundance or Count
variable measured: Ephedra distachya
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Ephedra distachya
    has defined term: Abundance or Count
variable measured: Ephedra fragilis
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Ephedra fragilis
    has defined term: Abundance or Count
variable measured: Calligonum-type
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Calligonum
    has defined term: Abundance or Count
variable measured: Tribulus
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Tribulus
    has defined term: Abundance or Count
variable measured: Carpinus orientalis
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Abundance or Count
variable measured: Carpinus betulus
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
    has defined term: Carpinus betulus
    has defined term: Abundance or Count
variable measured: Betula
  type: PropertyValue
  unit text: #
  measurement technique: Light microscope, BRESSER, Science Infinity
  subject of: DefinedTermSet
variable measured: Ulmus
variable measured: Alnus
variable measured: Juglans
variable measured: Fraxinus
variable measured: Populus
variable measured: Morus
variable measured: Salix
variable measured: Hedera
variable measured: Rosaceae
variable measured: Thymelaeaceae
variable measured: Asteroideae
variable measured: Cichorioideae
variable measured: Cardueae
variable measured: Cerealia
variable measured: Apiaceae
variable measured: Caryophyllaceae
variable measured: Brassicaceae
variable measured: Lamiaceae
variable measured: Scrophulariaceae
variable measured: Fabaceae
variable measured: Liliaceae
keywords: Arid Central Asia; biomization scheme; climate reconstruction; GDGTs; Holocene; human impact; Magnetic susceptibility; plant functional traits; Pollen; Uzbekistan; XRF
license: https://creativecommons.org/licenses/by/4.0/
conditions of access: access rights needed
is accessible for free: false
language: en

Lucas Dugerdil
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affiliation: École Normale Supérieure de Lyon
affiliation: Université de Montpellier

École Normale Supérieure de Lyon
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Université de Montpellier
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Guillemette Ménot
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Central Asian University
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Tashkent Institute of Irrigation and Agricultural Mechanization Engineers
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affiliation: Université Bourgogne Franche-Comté

Université Bourgogne Franche-Comté
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Boris Vannière
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affiliation: Université Bourgogne Franche-Comté

National University of Uzbekistan
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Deutsches Archäologisches Institut
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Sorbonne Université, Paris, France
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Lumière University Lyon 2
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Flexible paleoclimate age-depth models using an autoregressive gamma process
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Occurrence and abundance of 6-methyl branched glycerol dialkyl glycerol tetraethers in soils: Implications for palaeoclimate reconstruction
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Identification of novel 7-methyl and cyclopentanyl branched glycerol dialkyl glycerol tetraethers in lake sediments
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First paleoenvironmental calibrations for modern pollen rain of Tajikistan and Uzbekistan: A case study of pollen - vegetation functional biogeography of Arid Central Asia
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Functional Signatures of Surface Pollen and Vegetation Are Broadly Similar: Good News for Past Reconstructions of Vegetation
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Methodology of the last climatic cycle reconstruction in France from pollen data
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An improved method to determine the absolute abundance of glycerol dibiphytanyl glycerol tetraether lipids
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Extending the known range of glycerol ether lipids in the environment: structural assignments based on tandem mass spectral fragmentation patterns
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Reconstructing biomes from palaeoecological data: a general method and its application to European pollen data at 0 and 6 ka
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A North European pollen–climate calibration set: analysing the climatic responses of a biological proxy using novel regression tree methods
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date published: 2012
pagination: 95-110
is part of: Quaternary Science Reviews
  type: Periodical
  type: PublicationVolume
  volume number: 45
additional type: journal article

J Sakari Salonen
type: Person
family name: Salonen
given name: J Sakari

Heikki Seppä
type: Person
family name: Seppä
given name: Heikki

Miska Luoto
type: Person
family name: Luoto
given name: Miska

Anne Elisabeth Bjune
type: Person
family name: Bjune
given name: Anne Elisabeth

H John B Birks
type: Person
family name: Birks
given name: H John B

A method to determine warm and cool steppe biomes from pollen data; application to the Mediterranean and Kazakhstan regions
type: CreativeWork
type: ScholarlyArticle
creator: Pavel E Tarasov
creator: Rachid Cheddadi
creator: Joel Guiot
  type: Person
  family name: Guiot
  given name: Joel
creator: Sytze Bottema
  type: Person
  family name: Bottema
  given name: Sytze
creator: Odile Peyron
  type: Person
  family name: Peyron
  given name: Odile
creator: Jordina Belmonte
  type: Person
  family name: Belmonte
  given name: Jordina
creator: Vittoria Ruiz-Sanchez
  type: Person
  family name: Ruiz-Sanchez
  given name: Vittoria
creator: Fatima Saadi
  type: Person
  family name: Saadi
  given name: Fatima
creator: Simon Brewer
date published: 1998
pagination: 335-344
is part of: Journal of Quaternary Science
  type: Periodical
  type: PublicationVolume
  volume number: 13(4)
additional type: journal article

Simon Brewer
type: Person
family name: Brewer
given name: Simon

Cajo J F ter Braak
type: Person
family name: ter Braak
given name: Cajo J F

Agence Nationale de la Recherche
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alternate name: ANR

depth
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Length
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alternate name: L

Time
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alternate name: T

Lycopodium
type: DefinedTerm

Cyperaceae
type: DefinedTerm

Poaceae
type: DefinedTerm

Artemisia
type: DefinedTerm

Chenopodiaceae
type: DefinedTerm

Pinus
type: DefinedTerm

Juniperus
type: DefinedTerm

Ephedra distachya
type: DefinedTerm

Ephedra fragilis
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Calligonum
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Tribulus
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Carpinus betulus
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Betula
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Ulmus
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Alnus
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Juglans
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Fraxinus
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Populus
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Morus
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Salix
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Hedera
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Rosaceae
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Thymelaeaceae
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Cardueae
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Apiaceae
type: DefinedTerm

Caryophyllaceae
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Brassicaceae
type: DefinedTerm

Lamiaceae
type: DefinedTerm

Scrophulariaceae
type: DefinedTerm

Fabaceae
type: DefinedTerm

Liliaceae
type: DefinedTerm

Rhamnaceae
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Convolvulus
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Geranium
type: DefinedTerm

Centaurea
type: DefinedTerm

Echinops
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Plantago lanceolata
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Rumex
type: DefinedTerm

Ranunculaceae
type: DefinedTerm

Thalictrum
type: DefinedTerm

Valeriana
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Potentilla
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Urtica
type: DefinedTerm

Sanguisorba
type: DefinedTerm

Polygonum
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Limonium
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Peganum harmala
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Zygophyllum
type: DefinedTerm

Gagea
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Mentha
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Glomus
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Alternaria
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Arthrinium
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Delitschia
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Coniochaetaceae
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Podospora
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Sordaria
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Thecaphora
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Tilletia
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Phaeosphaeria
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Pleospora
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Microthyrium
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Urocystis
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Lycoperdales
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Coniochaeta ligniaria
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Brachysporium
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Savoryella
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Chaetomium
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Nematoda
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Xylariaceae
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Inonotus
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Bullinularia
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Rotifera
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Xylomyces chlamydosporus
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DefinedTermSet
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Ulmus
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Alnus
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Juglans
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Fraxinus
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Populus
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Morus
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Salix
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Hedera
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Rosaceae
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Thymelaeaceae
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Asteroideae
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Cichorioideae
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Cardueae
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Cerealia
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Apiaceae
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Caryophyllaceae
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Brassicaceae
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Lamiaceae
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Scrophulariaceae
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Fabaceae
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Liliaceae
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Rhamnaceae
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Convolvulus
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Geranium
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Centaurea
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Echinops
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Cousinia
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Plantago lanceolata
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Rumex
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Ranunculaceae
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Thalictrum
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Valeriana
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Potentilla-type
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Urtica
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Sanguisorba-type
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Polygonum-type
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Limonium-type
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Peganum harmala
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Zygophyllum
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Gagea
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Mentha-type
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Eremurus
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Glomus
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Sporormiella
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Pollen indeterminata
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  has defined term: Abundance or Count

Spores indeterminata
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  has defined term: Abundance or Count

cf. Juniperus-type
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Alternaria
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Arnium
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Arthrinium
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Cercophora
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Delitschia
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Coniochaetaceae
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Podospora
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Sordaria
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Valsaria
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Thecaphora
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Tilletia
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Phaeosphaeria
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Pleospora-type
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Monolete spore(s)
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Triletes spp.
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Microthyrium
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Urocystis
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Lycoperdales
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Nigrospora
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Coniochaeta cf. ligniaria
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Meliola spp.
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Brachysporium
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Savoryella
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Oocytes
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Persiciospora
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Chaetomium
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Nematoda, eggs
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Xylariaceae
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Inonotus-type
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Bullinularia
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Palynomorpha, non-pollen
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Curvularia
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Rotifera
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Xylomyces chlamydosporus
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Entophlyctis lobata
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