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These cover constant homogeneous, time-varying homogeneous and time-varying heterogeneous (Carreau) viscosity materials, cylindrical and cuboidal specimens, constant and time-varying loading, and a range of slip conditions. This includes:- Directly projected FE border sequences (simulated borders) used to isolate the estimation components from perception uncertainties- Photorealistic video renderings generated in Blender used to exercise the full perception-estimation pipeline under realistic visual conditions\u003cbr\u003eEstimation and prediction results - Estimated viscosity and slip parameter trajectories, together with short-horizon height predictions, for all physical and synthetic scenarios (Sections 5.1.1–5.1.5 and 5.2 of the paper).\u003cbr\u003eAppendix data - Camera and marker calibration (Appendix B), the convergence analysis of the finite element solver (Appendix E), the extended Carreau experiments (Appendix F) and the summary statistics across scenarios and trials (Appendix G).\u003cbr\u003eA full description of the file structure is provided in the file DATASET_STRUCTURE.md.\u003cbr\u003eThe code used to generate and analyse this data (the perception pipeline, the rendering pipeline and smearFEM.jl) is available at https://doi.org/10.4121/be5e2a8e-de9f-4d91-981e-59b252e863a8.\u003cbr\u003eVersion 2: the data was reorganised into five archives, with documentation and file-structure cleanup, and now includes the data for Sections 5.1.4–5.1.5 and the appendices.\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"DAMOCLES","funderName":"Eindhoven Artificial Intelligence Systems Institute (EAISI)"},{"awardTitle":"I.Touch2See","funderName":"Eindhoven Artificial Intelligence Systems Institute (EAISI)"},{"awardTitle":"Soft Material Exploring Autonomous Robot (SMEAR)","funderName":"Academic Committee for Design, Department of Mechanical Engineering, Eindhoven University of Technology"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <titles>
    <title>Data supporting the publication: Vision-Informed Short-Horizon Prediction for the Squeeze Flow of Soft Materials</title>
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  <publicationYear>2026</publicationYear>
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    <subject>Soft materials</subject>
    <subject>Parameter estimation</subject>
    <subject>Finite element method</subject>
    <subject>Squeeze flow</subject>
    <subject>Vision-informed modeling</subject>
    <subject>Rheology</subject>
    <subject>Physics simulation</subject>
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    <description descriptionType="Abstract">&lt;p&gt;This dataset supports the paper "Vision-Informed Short-Horizon Prediction for the Squeeze Flow of Soft Materials." It contains the experimental data, simulation data and results used to evaluate a vision-informed framework for parameter estimation and short-horizon prediction of the squeeze flow of soft specimens.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;The dataset includes:&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Physical experiment data - RGB video recordings from five repeated squeeze flow trials of a playdough specimen compressed under a constant load, along with the extracted 2D border observations and ArUco-marker-based height measurements used as ground truth.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Synthetic experiment data - Ground-truth simulation data for all 17 synthetic scenarios (A.I–A.VI, B.I–B.VI, C.I, D.I–D.III and E.I). These cover constant homogeneous, time-varying homogeneous and time-varying heterogeneous (Carreau) viscosity materials, cylindrical and cuboidal specimens, constant and time-varying loading, and a range of slip conditions. This includes:&lt;/p&gt;&lt;p&gt;- Directly projected FE border sequences (simulated borders) used to isolate the estimation components from perception uncertainties&lt;/p&gt;&lt;p&gt;- Photorealistic video renderings generated in Blender used to exercise the full perception-estimation pipeline under realistic visual conditions&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Estimation and prediction results - Estimated viscosity and slip parameter trajectories, together with short-horizon height predictions, for all physical and synthetic scenarios (Sections 5.1.1–5.1.5 and 5.2 of the paper).&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Appendix data - Camera and marker calibration (Appendix B), the convergence analysis of the finite element solver (Appendix E), the extended Carreau experiments (Appendix F) and the summary statistics across scenarios and trials (Appendix G).&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;A full description of the file structure is provided in the file DATASET_STRUCTURE.md.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;The code used to generate and analyse this data (the perception pipeline, the rendering pipeline and smearFEM.jl) is available at https://doi.org/10.4121/be5e2a8e-de9f-4d91-981e-59b252e863a8.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Version 2: the data was reorganised into five archives, with documentation and file-structure cleanup, and now includes the data for Sections 5.1.4–5.1.5 and the appendices.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</description>
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      <funderName>Academic Committee for Design, Department of Mechanical Engineering, Eindhoven University of Technology</funderName>
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