zoometh/neonet

R Shiny app for selection and display of the NeoNet radiocarbon dataset

neonet's Issues

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For some references, there is no proper DOI but a direct link to the full text is available in HAL open science. Tell me if this is OK or if in the absence of DOI I should rather keep the BibTeX.

Can NeoNet read?

• ark:/12148/bpt6k3335878d
• https://hal.univ-lyon2.fr/hal-02948330
• https://isidore.science/document/10670/1.pa892q

frm_duplicates()

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neo_kcc_sankey

Currently:

neo_isochr

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General

A general thread to discuss development of the app

Big Historical Data Conference

NeoNet, an app for radiocarbon modelling of the Late Mesolithic / Early Neolithic transition in South-Central and South-Western Europe

Big Historical Data Conference, 22-25 Nov 2023. Session: Archaeological time-series: the quest for robust 14C-dated proxies for the intensity of prehistoric activity, https://bhdc.earth/

The NeoNet app is an online open source interactive and user-friendly R Shiny application for mapping radiocarbon dates from the Late Mesolithic / Early Neolithic transition in the European river basins of the north-central Mediterranean (https://tinyurl.com/neonet-app). The application offers a mobile, multi-scalar geographic window for selecting dates using various filters in addition to location, such as chronology, cultural periods, and date quality. A calibration window allows aggregation (SPD) of selected dates by archaeological layers, sites and periods. The dataset – with over 2,500 curated radiocarbon dates and their archaeological contexts – is published as open data, will be extended to the Atlantic river basins of south-western Europe (more than 1,000 new dates), and will be made harvestable by radiocarbon gazetteers (https://github.com/ropensci/c14bazAAR). The app is developed and open to contributions on GitHub (https://github.com/zoometh/neonet), and will allow on-the-fly Bayesian and Harris matrix modelling. The transition from hunter-fisher-gatherers groups to early farmers communities has been one of the crucial research questions in Late Prehistory. In this sense, the NeoNet application, by offering an easy and almost reproducible way of working with radiocarbon dates, makes it possible to model, test and mitigate different research hypotheses.

Authors and affiliations

• Thomas Huet, University of Oxford, UK [email protected]
• Niccolò Mazzucco, Università di Pisa, Dipartimento di Civiltà e Forme del Sapere, Italy [email protected]
• Miriam Cubas Morera, Universidad de Alcalá. Spain [email protected]
• Juan F. Gibaja, Institució Milà i Fontanals (IMF-CSIC) [email protected]
• F. Xavier Oms, SERP, Seminari d’Estudis i Recerques Prehistòriques. IAUB, Universitat de Barcelona. Spain [email protected]
• António Faustino Carvalho, CEAACP, University of Algarve, Portugal [email protected]
• Ana Catarina Basílio, FCT, ICArEHB, University of Algarve, Portugal [email protected]
• Elías López-Romero, Instituto de Arqueologia de Merida (IAM), CSIC-Junta de Extremadura, Spain [email protected]