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Experimental Data and Models for "Knowledge-Based Modeling of Simulation Beha...
These files contain the data for the OpenDiHu experiments in sections 5.1.3 and 5.2. The settings used for the OpenDiHu simulations are in the opendihu/ folder. The simulation... -
Integrated Stratigraphy of the Middle-Late Eocene Souar Formation (Tunisia): ...
The Middle Late Eocene relatively poorly known from the southwestern Neo-Tethys settings since no integrated study is presented so far. The Souar section (604 m, 36°13'27.07N,... -
Bayesian age-depth modelling applied to varve counting and radiometric dating...
Four different age-depth models have been calculated for a new sediment profile (HZM19) from Holzmaar (425 m a.s.l., 50°7'8'' N, 6°52' 45'' E) using Bayesian statistics with... -
Physical, geochemical and chronostratigraphic data for sediments from the Jor...
The excavation of the open-air Epipaleolithic site Jordan River Dureijat revealed a stratigraphic sequence 2.2 meters in length along the east wall of the excavation area, which... -
Lead-210 measurements of the composite profile HZM19
31 samples were sampled with a thickness of 2 cm. Activity of total Pb-210 was determined indirectly by measuring Po-210 using alpha spectrometry. Activities were measured using... -
Cs-137 activity of the composite profile HZM19
47 samples were sampled with a thickness of 2 cm. The activity of Cs-137 was determined directly by gamma-ray spectrometry from freeze-dried and homogenized samples. Gamma... -
Bayesian Modelling of the composite profile HZM19
Conducted using Bacon (version 4.1.1) for the R programming software. Model A: based on C-14 only; Model B: based on radiocarbon, parameter settings derived from information of... -
Varve chronology of the composite profile HZM19
Based on 43 predefined marker layers and 41 radiocarbon sampling positions with their specific VT-99 age and error, then lineary interpolated. Technical gap from 10859 to 10989 mm. -
NAO proxy-based reconstruction from Iberian Peninsula (-150 to 2010 CE)
We present a quantitative NAO reconstruction for the central Iberian Peninsula (IP) over the last two millennia, along with its uncertainties, by applying a Bayesian approach.