The NeoNet dataset aims to provide a new research tool for the study of the pioneer farming front (i.e. Neolithisation) in the North Central and North Western Mediterranean basin by focusing on the period of transition from a foraging to a farming economy (ca. 7000 to 3500 cal BC). The complete dataset is formed by the elencoc14.tsv file, a dataframe with tab-separated values, and a connex dataframe: thesaurus.tsv. The dataset contains 2,506 radiocarbon dates from 526 archaeological sites and 1,769 different archaeological records (stratigraphic units, structures, negative features, hearths, etc.). To ensure and facilitate the reuse of the radiocarbon dates, NeoNet’s data structure is based on the Euroevol database layout. Among other fields, particular attention has been paid to homogenisation of the laboratory code, the archaeological context, and the references, in order to facilitate further data extractions. Indeed, the dataset is linked to an opensource R Shiny interactive web app (NeoNet app), and a getter function (R package c14bazAAr, R function get_neonet).
NeoNet Dataset. Radiocarbon Dates for the Late Mesolithic/Early Neolithic Transition in the North Central-Western Mediterranean Basin
Niccolò Mazzucco
Ultimo
Supervision
2022-01-01
Abstract
The NeoNet dataset aims to provide a new research tool for the study of the pioneer farming front (i.e. Neolithisation) in the North Central and North Western Mediterranean basin by focusing on the period of transition from a foraging to a farming economy (ca. 7000 to 3500 cal BC). The complete dataset is formed by the elencoc14.tsv file, a dataframe with tab-separated values, and a connex dataframe: thesaurus.tsv. The dataset contains 2,506 radiocarbon dates from 526 archaeological sites and 1,769 different archaeological records (stratigraphic units, structures, negative features, hearths, etc.). To ensure and facilitate the reuse of the radiocarbon dates, NeoNet’s data structure is based on the Euroevol database layout. Among other fields, particular attention has been paid to homogenisation of the laboratory code, the archaeological context, and the references, in order to facilitate further data extractions. Indeed, the dataset is linked to an opensource R Shiny interactive web app (NeoNet app), and a getter function (R package c14bazAAr, R function get_neonet).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
