Today exists various web-based ressources for database, calibrations, interactive selection and spatialization and analysis
| names | url |
|---|---|
| MedAfriCarbon | https://theia.arch.cam.ac.uk/MedAfriCarbon/ |
| NeoNet | https://zoometh.github.io/C14/neonet |
| EUROEVOL_R | https://neolithic.shinyapps.io/Euroevol_R/ |
MedAfriCarbon, NeoNet and EUROEVOL_R allow interactive web form map-based for of radiocarbon dates selection by geographical region of interest, time span and periods, quality of the date, etc. These apps offer also analysis tools like summing probability densities (SPD).
These apps have been developped with R programming language and the Shiny package
The MedAfriCarbon offers an almost complete toolbox to manage radiocarbon dates
NeoNet and EUROEVOL_R share the same layout, mostly inherited from the EUROEVOL database, only the datasets are differents
The database, an Excel Sheet, see the NeoNet app webpage
The app database is the EUROEVOL database, is opensource and static (yet developed), see the EUROEVOL_R app webpage
An almost exhaustive inventory of open databases has been made on the c14bazAAR repository
| names | url |
|---|---|
| EUROEVOL | http://discovery.ucl.ac.uk/1469811 |
| Radon | https://radon.ufg.uni-kiel.de/ |
| ORAU | https://c14.arch.ox.ac.uk |
| telearchaeology | http://telearchaeology.org/c14-databses/ |
| Archaeological Site Index to Radiocarbon Dates from Great Britain and Ireland | http://www.britarch.ac.uk/info/c14.html |
| 14SEA Project | http://www.14sea.org/2_dates.html |
| EX ORIENTE | https://www.exoriente.org/associated_projects/ppnd_sites.php |
| BANADORA | http://www.archeometrie.mom.fr/banadora/ |
R progamming language permits to download radiocarbon data from databases.
| type | names | url |
|---|---|---|
| R programming | c14bazAAR | https://github.com/ropensci/c14bazAAR |
| dedicated | GoGet | https://www.ibercrono.org/goget/index.php |
The c14bazAAR package allows to browse different database. As an example, let’s load the the Radon database:
## Trying to download all dates from the requested databases...
##
|
| | 0%
|
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99%
|
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100%
And retrieve a radiocarbon data (site, c14age, c14std, etc.) from its LabCode. For example, let’s choose the ‘Ly-11645’ LabCode:
# function to retrieve main info from a date
f.info.a.date <- function(a.db, a.dat){
col.nmes <- c("site", "labnr","c14age","c14std", "shortref")
df <- a.db[a.db$labnr == a.dat, col.nmes]
df <- as.data.frame(df[!is.na(df$labnr), ])
return(df)
}
# run
f.info.a.date(radonC14, 'Ly-11645')## site labnr c14age c14std shortref
## 1 Gazel Grotte Ly-11645 6035 85 <NA>
| type | names | url |
|---|---|---|
| dedicated | OxCal | https://c14.arch.ox.ac.uk/oxcal/ |
| dedicated | CalPal | http://www.calpal-online.de/ |
| dedicated | Calib | http://calib.org/calib/ |
| R programming | rcarbon | https://cran.r-project.org/web/packages/rcarbon/index.html |
| R programming | Bchron | https://cran.r-project.org/web/packages/Bchron/index.html |
| R programming | oxcAAR | https://cran.r-project.org/web/packages/oxcAAR/index.html |
R offers a comprehensive framework to calibrate, plot, sum and use temporal constraints – stratigraphy, periodisations, etc., like bayesian analysis – on radiocarbon datasets. Free software offering a dedicated solution for bayesian inference are: ChronoModel, OpenBUGS, JAGS, etc.
For a overview of the available solutions, see the R Bayesian task view