Publication Date:
2024-05-27
Keywords:
Abies; Abrupt Climate Changes and Environmental Responses; Accumulation model; Acer; ACER; Alnus; Alnus rubra-type; Alnus sinuata-type; Ambrosia-type; Amelanchier-type; Apiaceae; Arceuthobium; Artemisia; Asteraceae; Betula; Bidens-type; Botrychium; Brasenia; Brassicaceae; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Camassia-type; Carp_Lake; Caryophyllaceae; Ceanothus/Rhamnus; Chenopodiaceae; Classical age-modeling approach, CLAM (Blaauw, 2010); Corylus; Counting, palynology; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dodecatheon-type; Dryopteris; Elaeagnus; Ephedra; Equisetum; Ericaceae; Eriogonum; Fabaceae; Fraxinus; Galium; Gilia-type; Herbs; Isoetes; Lamiaceae; Larix/Pseudotsuga; Lemna; Liliaceae; Myriophyllum; Nuphar; Onagraceae; Phlox-type; Picea; Pinus; Plantago; Plectritis-type; Poaceae; Pollen indeterminata; Polygonum; Polygonum californicum-type; Populus; Populus balsamifera-type; Populus tremuloides-type; Potamogeton; Potentilla-type; Poylgonum amphibium; Prunus-type; Pteridium; Quercus; Ranunculus; Rhus; Rosaceae; Rumex; Sagittaria; Salix; Sambucus; Sample ID; Sarcobatus; Saxifragaceae; Selaginella densa-type; Shepherdia canadensis; Sparganium; Sphaeralcea; Spiraea-type; Taxus; Thalictrum; Tsuga heterophylla; Tsuga mertensiana; Type of age model; Typha latifolia-type; Unknown; Urtica-type; Valeriana
Type:
Dataset
Format:
text/tab-separated-values, 17978 data points
Permalink
