Physical inspection and sorting of foraminifera is a necessity in many research labs, as foraminifera serve as paleoenvironmental and chronostratigraphic indicators.

In order to gain counts of species from samples, analyze chemical compositions, or extract morphological properties of foraminifera, research labs require human effort and time handling and sorting these microscopic fossils.

The presented information supports Forabot, an open-source system that can physically manipulate individual foraminifera for imaging and isolation with minimal human interaction.

The associated data, codebase, and documentation support building a Forabot and confirming results related to processing raw image data, error detection results, and proof of concept deep classification network.

The dataset was collected using the Forabot system.

The data in the EDF folder is both unprocessed (raw folder) and the resulting processed data (example_edfs folder) to show how the EDF generation code works.

It is recommended to install software using Anaconda, but the software can be manually installed by referencing the Anaconda installation documents.

A markdown viewer such as Typora would benefit a reader.

A GPU would be helpful if training the deep classification network for validating results. It could be run on a CPU but would be quite slow.