The concept of open data has become the modern science meme. Funding bodies and publishers support open data. However, the open data mandate frequently encounters technical obstacles, such as a lack of a suitable data format for data sharing and long-term data preservation. Such issues are often community-specific and demand community-tailored solutions. We propose a new human-readable data format for data exchange and long-term preservation of luminescence data called XLUM.

The loess sequence of Köndringen, Upper Rhine Graben, comprises several glacial–interglacial cycles. It has been investigated using a multi-method approach including the measurement of colour, grain size, organic matter, and carbonate content. The analyses reveal that the sequence comprises several fossil soils and layers of reworked soil material. According to luminescence dating, it reaches back more than 500 000 years.

A loess sequence in SW Germany was investigated using a high-resolution multi-method approach. It dates to 34–27 ka and comprises layers of initial soil formation. Drier conditions and a different atmospheric circulation pattern during the time of deposition are expected as the soil layers are less strongly developed compared to similar horizons further north. Dust accumulation predates the last advance of Alpine glaciers, and no loess deposition is recorded for the time of maximum ice extent.

The R package sandbox is a collection of functions that allow the creation, sampling and analysis of fully virtual sediment sections, like having a virtual twin of real-world deposits. This article introduces the concept, features, and workflows required to use sandbox. It shows how a real-world sediment section can be mapped into the model and subsequently addresses a series of theoretical and practical questions, exploiting the flexibility of the model framework.

Dosimetric dating methods based on the analysis of luminescence signals emitted by granular minerals extracted from sedimentary deposits now play an important role in the study of the Quaternary. Here we propose a new approach in which the age of the deposit is calculated by combining the equivalent dose and dose-rate distributions. The underlying Bayesian mathematical model and its implementation via an R code are provided, together with the results obtained for a finite set of configurations.

Luminescence dating requires irradiating the sample in the laboratory. Here, we address some concerns about the reliability of the calibration procedure that have been published recently. We found that the interplay between geometrical parameters such as grain size and aliquot size impacts the calibration value more than previously thought. The results of our study are robust and allow us to recommend an improved calibration procedure in order to enhance the reliability of the calibration value.

Our contribution enhances the infrared radiofluorescence dating technique, used to determine the last sunlight exposure of potassium feldspars in a range of about 600 to 600 000 years backwards. We recorded radiofluorescence images of fine sands and processed them with tailored open-source software to obtain ages from single grains. Finally, we tested our new method successfully on two natural sediment samples. Studies in Earth science will benefit from improved age accuracy and new insights.

This paper demonstrates how to model optically stimulated luminescence (OSL) and radiocarbon ages in a Bayesian framework, using a dedicated software tool called BayLum. We show the effect of stratigraphic constraints, of modelling the covariance of ages when the same equipment is used for a series of OSL samples, and of including independent ages on a chronological inference. The improvement in chronological resolution is significant.