0000000000520000

AUTHOR

Lisa Schunk

0000-0002-2193-7340

showing 4 related works from this author

Evaluating the microscopic effect of brushing stone tools as a cleaning procedure

2020

Cleaning stone tool surfaces is a common procedure in lithic studies. The first step widely applied at any archeological site (and/or at field laboratories) is the gross removal of sediment from the surfaces of artifacts. Lithic surface alterations due to mechanical action applied in wet or dry cleaning regimes have never been examined at a microscopic scale. This could have important implications in traceology, as any modern surface modifications inflicted on archeological artifacts might compromise their functional interpretations. The current trend toward quantification of use-wear traces makes the testing even more important, as even slight, apparently invisible surface alterations migh…

Stone toolbepress|Social and Behavioral Sciences|AnthropologyBrushing010506 paleontologyCleaning protocolsSocArXiv|Social and Behavioral Sciences|AnthropologyDry cleaningengineering.material010502 geochemistry & geophysicsUse-wear analysis01 natural sciencesMicroscopic scaleSocArXiv|Social and Behavioral Sciences|Anthropology|Archaeological AnthropologyStone toolsConfocal microscopyMining engineeringengineeringSurface roughnessbepress|Social and Behavioral Sciences|Anthropology|Archaeological Anthropologybepress|Social and Behavioral SciencesSocArXiv|Social and Behavioral SciencesControlled experimentGeology0105 earth and related environmental sciencesEarth-Surface Processes
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Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [Python analysis]

2020

This upload includes the following files related to the Python analysis: Raw data as a XLSX table (brushing_v2.xlsx), i.e. results from R Script #1 (see https://doi.org/10.5281/zenodo.3632517) Python script of the whole analysis (RunEveryParameter.py) Convenience script for running RunEveryParameter.py in background and logging all output (RunSingleParametesBash.sh) Log file for output of sampling from the model for each parameter in a loop (logAll.txt) Jupyter notebooks of the analysis run on epLsar as an example (Notebook_SingleParameter.inpyb) and of a summary of the whole analysis (Notebook_Overview.ipynb), plus associated HTML output files (*.html) For each parameter: Full samples of p…

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Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [R analysis]

2020

This upload includes the following files related to the R analysis: - Raw data as a CSV table (brushing_v2.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3632490) - RStudio project (Brushing_project.Rproj) - R scripts as R Markdown files (*.Rmd) - Output from R scripts knitted to HTML files (*.html) - A text file containing the version of RStudio used (RStudioVersion.txt) Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952

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Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [ConfoMap analysis]

2020

ConfoMap templates for each surface in MNT format (including all original and processed surfaces, as well as results). Each template has also been exported to a PDF file. Additionally, results are collated into 'brushing_v2.csv' Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952

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