Resources

A collection of different resources of relevance:

• Open Data Sets
• Educational Resources

Open Data Sets

Nonlinear (structural) dynamics

Name	Description
DORA: Duffing Oscillator Response Analysis	Prediction of nonlinear dynamics (time series data) under varying external parameters (forcing amplitude) in the extreme small-data limit and for qualitatively rich dynamics
Nonlinear Benchmark Collections	A list of hosted nonlinear dynamical system datasets for e.g. unsteady fluid dynamics, an industrial robot, and more

Open rolling bearing data sets

Name	Description
Uni Paderborn Bearing Data Set	Description 1
Case Western Reserve Bearing Data Set	Description 2
University of Ottawa	Description 2
PRONOSTIA Bearing Data Set	Description 2
Politecnico di Torino Rolling Bearing Test Rig	Open access data for vibration monitoring and diagnostics
Center for Intelligent Maintenance Systems, University of Cincinnati	Details
IEEE PHM 2012 Data Challenge (Kaggle)	Details
Dataset of single and double bearing fault experiment	Details
Multi-domain vibration dataset with various bearing types under compound machine fault scenarios	Open access data for vibration monitoring and diagnostics

Structural Vibrations (general)

Name	Description
Learning to Predict Structural Vibrations	Benchmark deep learning model for predicting vibrations of harmonically excited plates.

Educational Resources

Name	Description
Data Science for Dynamical Systems (DS4DS)	Channel for Paderborn University’s initiative on ‘Data Science for Dynamical Systems’ that addresses open education and science contributions in control engineering and machine learning. By Sebastian Peitz and Oliver Wallscheid
Jason Bramburger’s Youtube Channel	Data-Driven Dynamics by Jason Bramburger
Complexity and Networks COmmunity and REsources (CORE) )	is An umbrella organization that aims to gather resources and events directed to the Complexity and Network Science community.