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Published January 31, 2023 | Version V.3
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Kodjadermen-Gumelnița-Karanovo VI Population Dynamics – 14C Data and Analysis.

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. DOI:10.1017/RDC.2023.6

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, followed by the Zenodo DOI.

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.RData [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.RData [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.RData [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.RData [database of 14C dates in R data format].
            bestfit.RData [R data format file for the bestfit composite modelto be used in reporoducing the analysis; it helps saving time when reproducing the bestfit model.    

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
2022
                     

 

Notes

This work was funded by UEFISCDI Romania, through the research grant 351PED/2020 (CALIB-RO), project code: PN-III-P2-2.1-PED-2019-4171.

Files

Popescu_etal_KGK-VI_PopDynamics_Data_Analysis.zip

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