2026-10-06T09:49:00Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34013331 2026-09-28T12:05:51Z category_26026 category_26407 category_29764 category_29851 category_29761 item_type_3 month_year_09_2026

The 1000×1000 collection: 1000 synthetic time series from 133 dynamical processes Ben Fulcher (5268071) Time-series analysis Signal processing Dynamical systems in applications Ordinary differential equations, difference equations and dynamical systems Complex systems time series dynamical systems chaos stochastic processes <p dir="ltr">What types of dynamical structure in the world do we as scientists have models for? The 1000×1000 collection contains 1000 simulated time series, each 1000 samples long, generated from 133 mechanisms across 13 classes: noise and linear processes, long-memory and multifractal processes, nonlinear stochastic processes, deterministic maps, chaotic flows, oscillators, noise-driven continuous-time dynamics, point processes and discrete states, composite and coupled systems, observation effects, and models of hearts, brains, climate and ecosystems. All series are stationary, real-valued and finite-variance.</p><p dir="ltr">Each series comes with its generating process, drawn parameters, and property tags (e.g., chaotic, long memory, heavy-tailed, bursty). The collection is a rethinking of the existing Empirical1000 dataset, in the same <i>hctsa</i> file formats, and includes the full <i>hctsa</i> feature matrix (v3.0, 7077 features).</p><p dir="ltr">Files: INP_1000x1000.mat (<i>hctsa</i> input), HCTSA_1000x1000.mat (hctsa features), hctsa_*.csv (the same as CSV), metadata.csv (ground truth and tags), series.npz (NumPy). See README.md for details.</p><p dir="ltr">Explore the collection interactively, listen to it, and see its equations: https://dynamicsandneuralsystems.github.io/1000x1000/.</p><p dir="ltr">If you use the <i>hctsa</i> features, please cite B.D. Fulcher and N.S. Jones, *Cell Systems* 5, 527 (2017), doi:10.1016/j.cels.2017.10.001.</p> 2026-09-28T12:05:51Z Dataset Dataset 10.6084/m9.figshare.34013331.v1 https://figshare.com/articles/dataset/The_1000_1000_collection_1000_synthetic_time_series_from_133_dynamical_processes/34013331 CC BY 4.0