pick type of repository (TOOL, ETL, ANALYSIS, ADMIN)

This repository contains scripts we use for preprocssing, cleaning, combaing and transforming different mound datasets, using both Python and R.

• Vojtěch Kaše , SDAM project, [email protected]
• Adela Sobotkova , SDAM project, [email protected]
• Petra Hermankova , SDAM project, [email protected]
• Antonio Rivero Ostoic [](ORCID: 0000-0001-8736-7152), [email protected]

CC-BY-SA 4.0, see attached License.md

[Here will be DOI or some other identifier once we have it]

[Here will go related articles or other sources we will publish/create]

[Describe the provenance of data used in the scripts contained and clarify how it is harvested and what other prerequisites are required to get the scripts working. In case of pure tool attribute any reused scripts to source, etc., license and specify any prerequisites or technical requirements.]

Anything else on data metadata and data used. Link to data repository or explanatory article.

1. Software X, minimum version 123
2. Software Y, version 456

1. CompanyA
2. CompanyB

1. Multiple-screen
2. Mouse
3. Coffee

[Describe the steps necessary to install the tool/package; example: https://gist.github.com/PurpleBooth/109311bb0361f32d87a2]

[Describe first steps, how to use the current repository by a typical user - the digital historian with limited technical skills]

1. First, do ...
2. Second, do ...
3. Third, go to ...