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Repository for aggregating comparative trait data for Ungulates and Poaceae and preparing for submission to the SESHAT database

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naturalis/seshat-trait-data-domesticates

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This repository aggregates comparative trait data for Ungulates and Poaceae that can be applied to the study of major trends in human history, shedding light on the social, health, political and environmental choices of past societies.

The goal

Our goal is to present these datasets to the SESHAT database and provide historical, environmental, biological and social data to the database. The ungulates and grasses datasets contribute to the study of ancient human diets, secondary (food)production and toolmaking and show the crucial role of domesticated and wild hooved animals and grasses and cereals. These datasets bring us one step closer to solve unanswered questions about human life.

Links to the data

Ungulates

Data and metadata files

Origin

Poaceae

Data and metadata files

Origin

Organization of data

The data is organized with aid of spreadsheets and separate column descriptions.

  • In the traits data set for poaceae and poales you can read about the total and unique occurences, the definition and the URI's.
  • In the traits data set for poales and seedmasses you can read about their ID, type of organism, traits, measurements and units.
  • In the data set for raw_means.csv you can read about the sources, definition and units.
  • In the traits data set for ungulates you can read about their names, the sources, URI's, definition, units, order, family, genus, species and domestication.

CC BY-NC 4.0 License

The data can be shared and redistributed in any medium or format. The data can be remixed, transformed and build upon but may not be used for commercial purposes. For more information, you can find a link to the CC BY-NC 4.0 License: https://github.com/naturalis/seshat-trait-data-domesticates/blob/main/CC%20By-NC%20License

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Repository for aggregating comparative trait data for Ungulates and Poaceae and preparing for submission to the SESHAT database

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