Research Compendium for 'The Open Aurignacian Project: 3D scanning and the digital preservation of the Italian Paleolithic record'

Compendium DOI:

https://doi.org/10.5281/zenodo.14843408

The content available at the provided DOI reproduces the results as documented in the publication. The files hosted at https://github.com/ArmandoFalcucci/The-Open-Aurignacian represent the developmental versions and might have undergone modifications since the paper's publication.

Maintainer of this Repository:

Armando Falcucci ([e-mail])

Abstract:

Here, we introduce an open-access database of 3D models of stone tools (n = 2,016) from four Early Upper Paleolithic sequences excavated south of the Alps and along Peninsular Italy, including Grotta della Cala, Grotta di Castelcivita, Grotta di Fumane, and Riparo Bombrini. Available through four self-standing Zenodo repositories, these models enable in-depth analysis of core reduction procedures, reduction intensity, and shape variability. Unlike other repositories, this database been actively used to address archaeological questions, providing a comprehensive demonstration of the utilization of 3D models in lithic analysis. The Open Aurignacian Project leverages various scanning devices, including the Artec Spider, Artec Micro, and micro-computed tomography, with a focus on enhancing the reproducibility and accessibility of archaeological data. This paper presents the scanning methodology, dataset organization, and technical validation of the project, while also discussing the scientific potential of these data to foster cross-continental research cooperation. This open-sharing initiative is designed to stimulate inter-regional studies of human behavioral variability, offering opportunities to answer questions in Paleolithic studies through the FAIR principles.

Overview of Contents and How to Reproduce:

This repository contains data, code, and output files associated with the paper. The files are organized into the following directories:

- data: Includes the datasets afor each site.- script: Contains the R script for data visualization.- output: Houses the generated outputs, including figures and tables.

To replicate the results from the paper, follow these steps:

1. Download the entire repository.2. Open the The-Open-Aurignacian.Rproj R project file.3. Navigate to the script folder, where you will find the R script for reproducing figures and tables.

For consistent results, the renv package (v. 1.0.3) was used, following the procedures outlined in its vignette. All analyses were performed using R 4.3.1 on Microsoft Windows 10 (64-bit). Necessary packages are provided within the renv folder.

Licenses:

Code: MIT License (https://opensource.org/licenses/MIT), copyright holders: Armando Falcucci (2025).

Data and Intellectual Work: Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), copyright holder: the authors (2025).