Published April 27, 2025 | Version v2
Dataset Open

Mesolithic artefact refitting data from La Grande Rivoire (Sassenage, Isère)

  • 1. ROR icon Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés
  • 2. ROR icon Archéorient

Description

La Grande Rivoire rock shelter is locataed in Isère, France. This dataset concerns the physical refits identified in the First and Second Mesolithic faunal and lithic material from three sectors of the site (NR16-22, SU12-15, SU16-22). This record includes: 

·         grande-rivoire-connection-1M.csv. data on refitted artefacts from the First Mesolithic layers. Each line documents a refitting relationship between two objects: 

o   id1: unique identifier of the first object

o   id2: unique identifier of the second object

·         grande-rivoire-fragments-1M.csv. data on refitted artefacts from the First Mesolithic layers. Each line documents an object with the following variables: 

o   id: unique identifier of each object

o   layer: archaeological layer

o   layer.su: combination of archaeological layer and sedimentary unit

o  sector: artifact's sector of origin (NR16-22, SU16-22 or NR12-15)

o   type: type of object (faunal or lithic)

·         grande-rivoire-connection-2M.csv. data on refitted faunal artefacts from the Second Mesolithic layers. Each line documents a refitting relationship between two objects: 

o   id1: unique identifier of the first object

o   id2: unique identifier of the second object

·         grande-rivoire-fragments-2M.csv. data on refitted faunal artefacts from the Second Mesolithic layers. Each line documents an object with the following variables: 

o   id: unique identifier of each object

o   layer: archaeological layer

o   layer.su: combination of archaeological layer and sedimentary unit

o  sector: artifact's sector of origin (NR16-22, SU16-22 or NR12-15)

Files

grande-rivoire-connection-1M.csv

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Additional details

Related works

Is new version of
Dataset: 10.5281/zenodo.15274312 (DOI)
Is supplement to
Dataset: 10.5281/zenodo.14609875 (DOI)