1 to 10 of 39 Results
Oct 13, 2026 - Analytic Computing
Frank, Daniel, 2026, "Scalar Lur'e system with dead-zone nonlinearity for nonlinear system identification - regionally stable, with converging and diverging trajectories - synthetically generated", https://doi.org/10.18419/DARUS-6521, DaRUS, V1
Overview Input-output data of a scalar discrete-time Lur'e system with a dead-zone nonlinearity. The system is regionally but not globally stable: inside the dead zone it is a stable linear system, outside it is unstable. The dataset has two parts: converging trajectories that stay bounded over the whole horizon, and diverging trajectories that sta... |
Oct 13, 2026 - Analytic Computing
Frank, Daniel, 2026, "Duffing oscillator for nonlinear system identification - regionally stable, with converging and diverging trajectories - synthetically generated", https://doi.org/10.18419/DARUS-6520, DaRUS, V1
Overview Input-output data of a damped, softening Duffing oscillator, it also includes the internal state. The system is regionally but not globally stable: the origin is asymptotically stable, but the saddle points (±1, 0) bound its basin of attraction, and inputs that push the state across that boundary make it diverge. The dataset therefore has... |
Jul 29, 2026 - Analytic Computing
Hernández, Daniel; Jung, Jong Hyun; Ikeda, Yuji; Ou, Yongliang; Kumar, Pranav; Schächtel, Tom; Liu, Wenchuan; Li, Xin; Zhang, Xi; Xu, Xiang; Zhu, Li-Fang; Körmann, Fritz; Staab, Steffen; Grabowski, Blazej, 2026, "MLIPs Ontology", https://doi.org/10.18419/DARUS-5948, DaRUS, V1
MLIPs Ontology: An Ontology for Machine Learning Interatomic Potentials More information can be found in the README.md. |
Jul 9, 2026 - Analytic Computing
Thapa, Ratan Bahadur; Hernández, Daniel, 2026, "Artifacts for: Identifiability of Relational Queries in Multi-View Pretraining", https://doi.org/10.18419/DARUS-6292, DaRUS, V1
This dataset contains the complete replication artifacts for the paper Identifiability of Relational Queries in Multi-View Pretraining (Ratan Bahadur Thapa and Daniel Hernández). The paper studies when a relational query is identifiable from a data-integration interface—that is, when every legal completion of the data consistent with the interface... |
Jun 9, 2026 - Analytic Computing
Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/DARUS-3977, DaRUS, V2
From Shapes to Shapes (s2s): a tool and library for inferring shape constraints that validate the result graphs of graph-transformation queries. Version 1.0 accompanies "From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries" (WWW 2024, doi:10.1145/3589334.3645550); it archives the v1.0.0 source tree. Version 2.0 acco... |
Jan 30, 2026 - IRIS 3D
Jalali Farahani, Farane; Hanke, Sara; Heiberger, Raphael; Staab, Steffen, 2026, "Reddit Social Group Mentions (Reddit-SGM)", https://doi.org/10.18419/DARUS-4557, DaRUS, V1, UNF:6:6H2MeoPFhr2nY8Rl0iKylA== [fileUNF]
Dataset Name: Reddit Social Group Mentions (Reddit-SGM) is a dataset based on Reddit comments and contains mentions of social groups annotated by three different human annotators. Corpus Size: 2,040 comments Source: Reddit Politosphere Dataset (DOI) Subreddits Included: r/politics r/worldpolitics r/ukpolitics r/Economics r/Libertarian Focus: Analys... |
Nov 3, 2025
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Sep 8, 2025 - IRIS 3D
Fathallah, Nadeen; Hernández, Daniel; Staab, Steffen, 2025, "AccessGuru", https://doi.org/10.18419/DARUS-5177, DaRUS, V1, UNF:6:5MctEb5nlHfFUXpoBqSNMg== [fileUNF]
AccessGuru dataset contains over 3,500 real-world Web accessibility violations collected from 448 diverse websites across domains such as health, education, government, news, technology, and e-commerce. Each instance is annotated with one of 112 distinct violation types, spanning syntactic, semantic, and layout categories as defined by WCAG 2.1 gui... |
Apr 28, 2025 - KR-Building (EXC IntCDC)
Pan, Xinyi; Hernández, Daniel; Seifer, Philipp; Lämmel, Ralf; Staab, Steffen, 2025, "eSPARQL Implementation", https://doi.org/10.18419/DARUS-4344, DaRUS, V1, UNF:6:t0V66ThHSAjSCe2jRbbJng== [fileUNF]
This project contains the code of an implementation of the eSPARQL language, which extends SPARQL-star with a `FROM BELIEF` that allows an easy formulation of epistemic queries. Further information can be found in the README.md file. |
