Publication Date:
2024-06-12
Description:
This pollen dataset contains the age of the sample (Age [a AD/CE] and Age [ka BP]), depth of the sample in m (Depth sed [m]), % of arboreal pollen (AP, calculated from the whole dataset available), % of non-arboreal pollen (NAP, calculated from the entire dataset available), and % of main pollen taxa (columns 6-82, calculated from the whole dataset available).
Keywords:
Abies; Acer; Age; AGE; Age model, Bayesian; Alchemilla-type; Alnus; Anthemis-type; Anthoceros punctatus; Apiaceae; Arboreal pollen; Artemisia; Athyrium filix-femina; Betula; Calculated, see abstract; Caltha palustris; Cannabis-type; Carpinus; Caryophyllaceae; Centaurea cyanus; Cerastium-type; Cerealia (excl. Secale); cf. Sausurea-type; Chenopodiaceae; Cichorioideae; Comarum palustre; Core; CORE; Corylus; DEPTH, sediment/rock; diatoms; Dryopteris cristata; Dryopteris filix-mas; Echium vulgare; Epilobium; Euphorbia; Europe; Fabaceae; Fagopyrum cf. tataricum; Fagus; Filipendula; Fraxinus; Galium; Gentiana; Geochemistry; Humulus-type; Hypericum perforatum-type; Jasione; Juncaginaceae; Juniperus; Lake_Lubińskie_LUB07; Lake sediment; Lotus corniculatus; Lotus uliginosus; Melampyrum; Mentha-type; Non arboreal pollen; Ononis-type; Paleoenvironmental reconstructions; Picea; Pinus; Plantago major-type; Poaceae; Poland; pollen analysis; Polygonum aviculare; Polygonum persicaria; Populus; Pteridium aquilinum; Quercus; Ranunculaceae; Ranunculus flammula-type; Rosaceae; Rumex obtusifolius-type; Salix; Scleranthus annuus; Scleranthus perennis; Scrophulariaceae; Secale cereale; Sinapis-type; Solanum dulcamara; Spergula arvensis; Thalictrum; Thlaspi arvense-type; Tilia; Trifolium; Trifolium cf. medium; Ulmus; Urtica; varves; Veronica-type; Vicia; Viola canina-type; Vitis vinifera; Xanthium
Type:
Dataset
Format:
text/tab-separated-values, 3440 data points
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