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Other language confidence: 0.9945708112214261

Chronology determination of the last 3000 years from Lake Lubińskie in western Poland

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.

CNS determination of the last 3000 years from Lake Lubińskie in western Poland

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 %.

Pollen determination of the last 3000 years from Lake Lubińskie in western Poland

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).

Diatoms determination of the last 3000 years from Lake Lubińskie in western Poland

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).

Chronology, pollan, diatom, and geochemical data covering the last 3000 years of the Lake Lubińskie varved record (western Poland)

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.

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