Data

This dataset includes all geodata of the Upper Palaeolithic predictive modelling in lower Austria by Boemke et al. (in review). This study analyses the geospatial behaviour of 23 Upper Palaeolithic sites in Lower Austria. A new approach is applied, combining the advantages of a classical deductive method with the capabilities of machine learning, implemented via the MaxEnt software. The result is a predictive model for an area of 7850 km², exploring the potential for the presence of Upper Palaeolithic...

Geo- and palaeoecological studies focusing on the late Pleistocene require a detailed knowledge of the spatial distribution of aeolian sediments. In Germany existing maps are either on large scales, have a regional focus or show significant inaccuracies such as artificial boundaries within different geological units. To obtain a more detailed, seamless map of the distribution of aeolian sediments and their potential source areas, we combined and reanalysed available geo-data, using a Geographical...

The possibility to use colour data, as extracted from two selected loess-paleosol sequences, is discussed here. Colour data are a fast and inexpensive method of proxy data generation. We compare the outcome from analysing outcrop images taken by digital cameras in the field and spectral colour data as determined under controlled laboratory conditions. By nature, differences can be expected due to variations in illumination, moisture, and sample preparation. Outcrop inclination may be an issue for...

Located in the Lower Rhine area two loess/palaeosol sections were investigated focusing on the last Interglacial to Lower Weichselian pedosedimentary sequence. The sections are situated in the brown coal opencast mining area of Inden and Garzweiler, and comprise archaeological find layers from the Middle Palaeolithic. Selected ratios derived from multi-element analysis are presented for the first time for the prominent loess accumulation area north of the Rhenish Shield. In addition luminescence ages were...