# DONUT -- Creation, Development, and Opportunities of a Database

arXiv: https://arxiv.org/abs/2304.12417 · HTML: https://mlsanity.com/paper/2304.12417/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Apr 2023.

## Built on by (most cited first, 2 of 2)

- [Unreduced Persistence Diagrams for Topological Machine Learning](https://mlsanity.com/paper/2507.07156/) (2025)
- [The persistence of painting styles](https://mlsanity.com/paper/2511.16695/) (2025)

## Abstract (arXiv)

DONUT is a database of papers about practical, real-world uses of Topological Data Analysis (TDA). Its original seed was planted in a group chat formed during the HIM Spring School on Applied and Computational Algebraic Topology in April 2017. This document describes the creation, curation, and maintenance process of the database.