http://bolin.su.se/data/ryberg-2022-store-mosse-peat-1 Eleonor E. Ryberg, Minna Väliranta, Antonio Martínez-Cortizas, Johan Ehrlén, Jenny K. Sjöström, Malin Kylander PANGAEA 2022 Datafile Terrestrial Peat Peat Bulk density Accumulation rate Sweden Boreal peatland Earth science > Climate indicators > Paleoclimate indicators > Paleoclimate reconstructions > Vegetation reconstruction Eleonor Ryberg 2022-04-26T09:00:36+00:00 English 1 This includes age model, bulk density and peat accumulation rates. Each sub-sampled slice (1 cm resolution) had a cube of peat taken out to be freeze-dried, weighed and measured (using a caliper) to calculate its density (g cm⁻³). The age model is based on 16 radiocarbon dated samples of macrofossil remains, and then created using R_Bacon and the IntCa13.14C calibration curve. By combining the data from the bulk density analysis and the age model we obtain the peat accumulation rates (peat-AR; g m⁻² a⁻¹), which were calculated at 1 cm resolution (dividing the total mass (g m⁻²) by time between each sample). Data given as tab-limited text file were data is organised both by sample depth (top and bottom depths of each sample), composite depth (all in cm) as well as calibrated age (min, max, median and mean given in ka). The net accumulation rates and st dev, the raw data for dry bulk density (DBD) calculations (bag weight, sample+bag weight, wet weight, sample weight, sample volume) and mass flux are used with delta t calculated using age difference between samples and the delta from Bacon modelling to calculate the net peat accumulation rates. This dataset is linked to [Macrofossil analysis on a peat sequence reaching ~10 000 years BP in Store Mosse bog, south-central Sweden](https://bolin.su.se/data/ryberg-2022-store-mosse-macrofossil-1).