Chenzhi Li
Chenzhi
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
AWI Potsdam
Jian Ni
Jian
Zhejiang Normal University
ZJNU
Thomas Böhmer
Böhmer
Thomas
Xianyong Cao
Cao
Xianyong
Borui Zhou
Zhou
Borui
Chinese Academy of Sciences
CAS
Mengna Liao
Liao
Mengna
Kai Li
Kai
Laura Schild
Schild
Laura
Mareike Wieczorek
Wieczorek
Mareike
Birgit Heim
Heim
Birgit
Ulrike Herzschuh
Herzschuh
Ulrike
LegacyPollen2.0: Taxonomically harmonized pollen counts of European samples with revised chronologies
PANGAEA
Data Publisher for Earth & Environmental Science
dataset
This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset. […]
This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset. Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance.
Peter Ewald
Ewald
Peter
Raphaël Hébert
Hébert
Raphaël
Thomas Laepple
Laepple
LegacyVegetation 1.0: Global reconstruction of vegetation composition and forest cover from pollen archives of the last 50 ka
in review
other
Pollen taxa harmonisation table LegacyPollen2.0
Global taxonomically harmonized pollen data set for Late Quaternary with revised chronologies (LegacyPollen 1.0)
dataset publication series
data points
Event label
Sample code/label
LegacyPollen
Neotoma
Uniform resource locator/link to metadata file
Neotoma DOI
Reference/source
Data
Identification
Site
Dataset
site
simplified
LATITUDE
LONGITUDE
ELEVATION
m a.s.l.
elevation
Length
Continent
AgeModel
Age, minimum/young
age
minimum
young
Time
Age, maximum/old
maximum
old
AGE
ka BP
median
mean
DEPTH, sediment/rock
depth
sediment
rock
Sample ID
Abies
Abundance or Count
Acacia
Acanthaceae
Acer
Acoraceae
Adoxaceae
Aesculus
Ailanthus
Aizoaceae
Alchornea
Alnus
Amaranthaceae
Amaryllidaceae
Anacardiaceae
Apiaceae
Apocynaceae
Araceae
Araliaceae
Arbutus
Arctostaphylos
Arecaceae
Argania
Aristolochiaceae
Artemisia
Asparagaceae
Asphodelaceae
Asteraceae
Balsaminaceae
Berberidaceae
Betula
Betulaceae
Boraginaceae
Brassicaceae
Buxus
Calceolariaceae
Campanulaceae
Cannabaceae
Cannaceae
Capparis
Caprifoliaceae
Carya
Caryophyllaceae
Castanea
Casuarina
Cathaya
Cedrus
Celastraceae
Celtis
Cephalanthus
Ceratonia
Cercis
Chamaerops
Cistaceae
Citrus
Cleomaceae
Clusiaceae
Colchicaceae
Combretaceae
Commelinaceae
Convolvulaceae
Coriariaceae
Cornaceae
Cornus
Corylus
Cotinus
Crassulaceae
Crataegus
Cryptomeria
Cucurbitaceae
Cupressaceae
Cupressus
Cyperaceae
Cytinaceae
Dacrydium
Datiscaceae
Diapensiaceae
Dioscoreaceae
Diospyros
Dipsacaceae
Droseraceae
Elaeagnaceae
Elaeagnus
Engelhardia
Ephedra
Ephedraceae
Ericales
Erythrina
Eucalyptus
Euonymus
Euphorbiaceae
Fabaceae
Fagaceae
Fagus
Ficus
Frangula
Frankeniaceae
Fraxinus
Genista
Gentianaceae
Geraniaceae
Grewia
Grossulariaceae
Hagenia
Heliotropium
Hydrangea
Hypericaceae
Icacinaceae
Ilex
Indeterminable
Iridaceae
Juglandaceae
Juglans
Juncaceae
Juniperus
Lamiaceae
Larix
Laurus
Leucaena
Ligustrum
Liliaceae
Liliales
Linaceae
Liquidambar
Liriodendron
Lythraceae
Maerua
Magnolia
Magnoliaceae
Malus
Malvaceae
Maytenus
Melanthiaceae
Mespilus
Montiaceae
Moraceae
Morus
Myrica
Myricaceae
Myrsine
Myrtaceae
Myrtus
Nartheciaceae
Nerium
Nitrariaceae
Nothofagus
Nyctaginaceae
Nyssa
Nyssaceae
Olea
Oleaceae
Onagraceae
Orchidaceae
Orobanchaceae
Osmanthus
Ostrya.Carpinus
Oxalidaceae
Paeoniaceae
Paliurus
Papaveraceae
Pedaliaceae
Penthoraceae
Phillyrea
Phoenix
Phrymaceae
Phyllanthaceae
Phytolaccaceae
Picconia
Picea
Pinaceae
Pinus
Pistacia
Plantaginaceae
Platanus
Platycarya
Plumbaginaceae
Poaceae
Podocarpaceae
Podocarpus
Polemoniaceae
Polygalaceae
Polygonaceae
Populus
Portulacaceae
Primulaceae
Prosopis
Prunus
Pseudotsuga
Pterocarya
Punica
Pyrus
Quercus
Ranunculaceae
Resedaceae
Rhamnaceae
Rhamnus
Rhododendron
Rhus
Robinia
Rosaceae
Rubiaceae
Rumex
Rutaceae
Salicaceae
Salix
Salvadoraceae
Sambucus
Santalaceae
Sapindaceae
Sapotaceae
Saxifragaceae
Sciadopitys
Scrophulariaceae
Sequoia
Smilacaceae
Solanaceae
Sorbus
Staphylea
Sterculia
Styrax
Symplocos
Syringa
Tamaricaceae
Tamarix
Taxaceae
Taxodium
Taxus
Thalictrum
Thymelaeaceae
Tilia
Tofieldiaceae
Trachycarpus
Tsuga
Ulmaceae
Ulmus
Urticaceae
Valerianaceae
Verbenaceae
Viburnum
Violaceae
Vitaceae
Vitex
Zelkova
Ziziphus
Zygophyllaceae
fossil pollen; Late Quaternary; Neotoma; Paleoclimate; paleoecology; taxonomically harmonized; temporally standardized
The event AKO_combined cobines events "AKO 11; AKO 14; AKO24; AKO25" => Neotoma URLs: https://doi.org/10.21233/XW3E-V308; https://doi.org/10.21233/22EZ-Q584; https://doi.org/10.21233/BJGC-8T48; https://doi.org/10.21233/A024-5D69
unrestricted
text/tab-separated-values
text/html
Anne Dallmeyer
Dallmeyer
Anne
Manuel Chevalier
Chevalier
Manuel
Matteo Willeit
Willeit
Matteo
Andrei A Andreev
Andreev
Andrei A
Global biome changes over the last 21,000 years inferred from model-data comparisons