0000000001301815
AUTHOR
Eduardo Paixao
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [Python analysis]
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…
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [R analysis]
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
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [ConfoMap analysis]
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