ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • PANGAEA  (5)
Sammlung
Schlagwörter
Erscheinungszeitraum
  • 1
    Publikationsdatum: 2023-12-23
    Beschreibung: Sediments from Lake Lubińskie, western Poland, were investigated to determine the limnological responses to environmental changes and to identify the mechanisms driving eutrophication over the last 3,000 years. The chronology was obtained through three independent varve counting, radiometric measurements (Cs-137 and Pb-210), and radiocarbon dating. Due to slumps in the sediment record, a Bayesian modelling approach was applied to develop the final chronology. Pollen analysis was performed on 48 samples from the Lake Lubińskie record to present a general overview of the vegetation changes through time and the agricultural performance in the catchment. Diatom analysis was performed on 61 samples to present the most abundant taxa, ecological groups, and local assemblage zones and to estimate the lake level fluctuations. CNS measurements (TIC, TOC, TC, TN, TS) were performed to capture the geochemical fluctuations throughout the profile.
    Schlagwort(e): diatoms; Europe; Geochemistry; Lake sediment; Paleoenvironmental reconstructions; pollen analysis; varves
    Materialart: Dataset
    Format: application/zip, 4 datasets
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Publikationsdatum: 2023-12-23
    Beschreibung: This chronology dataset contains five columns: depth sed [m], Age [a AD/CE], Age [ka BP], Age min [a AD/CE], and Age max [a AD/CE]. The age-depth model was developed through Bayesian modelling from 2007 CE (the year of coring) down to 428 cm (75 ± 90 BCE). Below this depth, the extrapolation is based on varve counting: 871 varve years were added to extend the age-depth model to the bottom of the profile.
    Schlagwort(e): Age; AGE; Age, maximum/old; Age, minimum/young; Age model, Bayesian; Core; CORE; DEPTH, sediment/rock; diatoms; Europe; Geochemistry; Lake_Lubińskie_LUB07; Lake sediment; Paleoenvironmental reconstructions; Poland; pollen analysis; varves
    Materialart: Dataset
    Format: text/tab-separated-values, 7629 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Publikationsdatum: 2023-12-23
    Beschreibung: This diatoms dataset contains the age of the sample (Age [a AD/CE] and Age [ka BP]), % of main taxa contribution (columns 3-16, calculated for the taxa presented in the paper), % of life form – benthonic and planktonic diatoms (columns 17-18, calculated from the whole dataset available), % of pH affinity (columns 19-23, calculated from the entire dataset available), and trophic state (columns 24-30, calculated from the entire dataset available).
    Schlagwort(e): Age; AGE; Age model, Bayesian; Asterionella formosa; Aulacoseira granulata; Benthos; Calculated, see abstract; Core; CORE; Cyclostephanos dubius; Cyclotella cyclopuncta; Cyclotella radiosa; diatoms; Diatoms, acidobiontic; Diatoms, acidophilous; Diatoms, alkalibiontic; Diatoms, alkaliphilous; Diatoms, circumneutral; Diatoms, eutrophic; Diatoms, hypereutrophic; Diatoms, mesoeutrophic; Diatoms, mesotrophic; Diatoms, oligo-mesotrophic; Diatoms, oligotrophic; Diatoms, oligotrophic to eutrophic; Europe; Fragilaria nanana; Geochemistry; Lake_Lubińskie_LUB07; Lake sediment; Lindavia praetermissa; Paleoenvironmental reconstructions; Pantocsekiella comensis; Plankton; Poland; pollen analysis; Pseudostaurosira brevistriata; Staurosira construens; Staurosirella pinnata; Stephanodiscus alpinus; Stephanodiscus neoastraea; Stephanodiscus parvus; varves
    Materialart: Dataset
    Format: text/tab-separated-values, 1769 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    Publikationsdatum: 2023-12-23
    Beschreibung: 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).
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 3440 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    Publikationsdatum: 2023-12-23
    Beschreibung: This CNS dataset contains eight columns: Sample ID, Age [a AD/CE], Age [ka BP], Depth sed [m], and content of total carbon (TC), total nitrogen (TN), total sulfur (TS), and total inorganic carbon (TIC), all expressed in %.
    Schlagwort(e): Age; AGE; Age model, Bayesian; Calculated; Carbon, inorganic, total; Carbon, total; Core; CORE; DEPTH, sediment/rock; diatoms; Europe; Geochemistry; Lake_Lubińskie_LUB07; Lake sediment; Nitrogen, total; Paleoenvironmental reconstructions; Poland; pollen analysis; Sample ID; Sulfur, total; varves
    Materialart: Dataset
    Format: text/tab-separated-values, 1668 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...