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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Research compendium for 'Bringing shape into focus: Assessing differences between blades and bladelets and their technological significance in 3D form'

Authors: Falcucci, Armando; Karakostis, Fotios Alexandros; Göldner, Dominik; Peresani, Marco;

Research compendium for 'Bringing shape into focus: Assessing differences between blades and bladelets and their technological significance in 3D form'

Abstract

Abstract: Laminar technologies were adopted by Paleolithic foragers to produce a variable range of stone implements. Archaeologists have reconstructed the different reduction procedures involved in the production of laminar stone tools, often underlying a separation between the bigger blanks (i.e., blades) and smaller bladelets. However, these two blank types are in most cases poorly defined, as their classification typically relies on arbitrary size thresholds that do not consider blank shape, which is a fundamental component of tool production and function. In this study, we investigate whether traditional classifications of blades and bladelets are morphologically and technologically meaningful. For this purpose, we employ a three-dimensional geometric morphometric approach on a large sample of complete blanks retrieved from one of the earliest laminar industries assigned to modern humans in southern Europe: the Protoaurignacian from Fumane Cave. We rely on a cutting-edge protocol for acquiring virtual 3D meshes of stone tools using micro-computed tomography. This novel approach allows us to scan large quantities of small lithics in a short period of time and without the typical technical problems associated with scanning small objects. After calculating the principal components of shape variation, we explore differences and similarities across the dataset using linear discriminant analysis and analysis of variance. Our multivariate study highlights distinct morphological tendencies across blades and bladelets that are however better framed when the technological organization of Protoaurignacian stone knapping is taken into consideration. Overall, our results demonstrate that virtual analysis of stone tool shape can help elucidate aspects of lithic technology and its implications for past human behavior. Overview of contents: 1. Raw landmark data. All landmark coordinates for each blank analyzed in this study and digitized in AGMT3-D; 2. R project with all steps performed to import the Cartesian coordinates of each artifact to R and run GPA, PCA, and Shape ANOVA in geomorph. Furthermore, we include the steps to visualize the shape changes in both geomorph and Morpho (after performing a GPA and PCA in that package too); 3. PC scores of the PCA performed in geomorph and .csv dataset with all attributes used in this study; 4. Datasets in .sav and .dat formats used to run statistical analyses in SPSS and Past; 5. Results of the LDA analyses conducted in the study; 6. R script used to design the bivariate plot of the PCA; Extra: All 3D meshes of blades and bladelets are available on Zenodo following this link: https://doi.org/10.5281/zenodo.6362150

This study was supported by the Deutsche Forschungsgemeinschaft (DFG) under grant agreement no. 431809858 – FA 1707/1-1 (project title: Investigating Early Upper Paleolithic Technological Variability and Cultural Dynamics South of the Alps; recipient: A. Falcucci). Research and fieldwork at Fumane are coordinated by the Ferrara University (MP) in the framework of a project supported by the Ministry of Culture–SAPAB Archaeological Superintendence, public institutions (Lessinia Mountain Community-Regional Natural Park, B.I.M. Adige, Fumane Municipality), Foundations, and private associations and companies.

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Keywords

micro-computed tomography (micro-CT), shape analysis, R, AGMT3-D, 3D methods, Protoaurignacian, geometric morphometrics, geomorph, Lithic technology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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