Kodjadermen-Gumelnița-Karanovo VI Population Dynamics – 14C Data and Analysis.
Authors/Creators
- 1. Research Institute of the University of Bucharest, Division of ArchaeoSciences, University of Bucharest, Bucharest, Romania
- 2. Research Institute of the University of Bucharest, Division of ArchaeoSciences, University of Bucharest, Bucharest, Romania; Institute of Archaeology "Vasile Pârvan", No. 11, Henri Coandă Street, Sector 1, 010667, Bucharest, Romania
- 3. Research Institute of the University of Bucharest, Division of ArchaeoSciences, University of Bucharest, Bucharest, Romania; CNRS, UMR 5602 Géode, Toulouse France
- 4. Research Institute of the University of Bucharest, Division of ArchaeoSciences, University of Bucharest, Bucharest, Romania; National Museum of History of Romania, No. 12, Calea Victoriei, Sector 3, 030026, Bucharest, Romania
- 5. National Museum of History of Romania, No. 12, Calea Victoriei, Sector 3, 030026, Bucharest, Romania
- 6. IFIN-HH, 30 Reactorului St., Măgurele, Ilfov, 077125, Romania
- 7. SHESC, Arizona State University, 900, S. Cady Mall, 85287-2402, Tempe, AZ, USA
Description
The files in this package include data files and R Markdown analyses scripts for the paper:
Gabriel M. Popescu, Cristina Covătaru, Ionela Opriș, Adrian Bălășescu, Laurent Carozza, Valentin Radu, Constantin Haită, Tiberiu Sava, C. Michael Barton, Cătălin Lazăr. Sine Qua Non: Inferring Kodjadermen-Gumelnița-Karanovo VI Population Dynamics from Aggregated Probabiliy Distributions of Radiocarbon Dates. Radiocarbon.
The paper is submitted to the Radiocarbon Journal.
This data and analysis package should be cited as:
Gabriel M. Popescu, Cristina Covătaru, Ionela Opriș, Adrian Bălășescu, Laurent Carozza, Valentin Radu, Constantin Haită, Tiberiu Sava, C. Michael Barton, Cătălin Lazăr. Kodjadermen-Gumelnița-Karanovo VI Population Dynamics – 14C Data and Analysis. https://zenodo.org/record/[zenodo DOI number].
These data and analysis are open to use in scientific research but one should always cite both the paper and this dataset.
This package contains:
1. Data – SM1_Data.xlsx [Data set with all the data used in the analysis].
kgk6.csv [CSV text format file with database of all 14C dates used in the R analysis].
2. SM_Figures [Supplementary figures 1 through 3 for the paper in Radiocarbon].
3. R_Code – kgk6.Rmd [R Markdown Scripts for R version R.4.1.1 and RStudio 351].
intcal20.Rda [RData file of intcal20 calibration curve].
kgk6.exp.Rda [R data format file for the exponential model to be used in reproducing the analysis; it helps saving time when reproducing the exponential model].
kgk6.log.Rda [R data format file for the logistic model to be used in reproducing the analysis; it helps saving time when reproducing the logistic model].
kgk6.perm.Rda [R data format file for the non-spatial permutation model to be used in reproducing the analysis; it helps saving time when reproducing the permutation model].
kgk6.Rda [database of 14C dates in R data format].
4. Data_References – Data_References.docx [Bibliographic references for the 14C dates in our dataset].
Gabriel Marius Popescu
Research Institute of the University of Bucharest,
University of Bucharest,
Bucharest, Romania
2021