[DATA TITLE]: Meniscus sensitivity to knee contact mechanics - computational data [CREATORS]: Jiacheng Yao and Marlène Mengoni, 2023, University of Leeds [CITE AS]: Yao J. and Mengoni M., 2023, [dataset] Meniscus sensitivity to knee contact mechanics - computational data, University of Leeds data repository, doi: https://doi.org/10.5518/1426 [RIGHT HOLDER]: Copyright 2023 University of Leeds [LICENSE]: This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. [RELATED PUBLICATION]: Data associated with "Effect of meniscus modelling assumptions in a static tibiofemoral finite element model – importance of geometry over material" [DESCRIPTION]: The data comprises Finite Element model input files for Abaqus 2019 representative of 1 generic tibifemoral condyle and 3 image-specific tibiofemoral joints. Each of the baseline datasets was extracted from data shared under CC-BY license: - generic model from the open-knee project first generation (https://doi.org/10.18735/b0zv-n395) as used in Meng Q., Fisher J. & Wilcox R.K. (2017). The effects of geometric uncertainties on computational modelling of knee biomechanics. R. Soc. Open Sci. 4, 170670 - specimen-specific model from the IMBE knee dataset: Cooper R.J., Day G.A., Wijayathunga V.N., Yao J., Mengoni M., Wilcox R.K. & Jones A.C. (2023) Three subject-specific human tibiofemoral joint finite element models: complete three-dimensional imaging (CT & MR), experimental validation and modelling dataset. https://doi.org/10.5518/981 Derived models were generated from the input files to create a total of 40 model instances used in a sensitivity study. The datasets contains derived input files and python scripts to generate the derived models. The dataset also contains Finite Element outputs of interest for each of the 40 models. Project part of EPSRC grant "Optimising knee therapies through improved population stratification and precision of the intervention" (EP/P001076/1) [CONTENT INFORMATION]:(see associated publication for detailed description) Variations of the generic model - in generic_model_variations.zip file G1_GenericModel_baseline.inp: meniscus roots represented with springs G2_GenericModel_rigidConnector.inp: meniscus roots represented with rigid connectors G3_GenericModel_smallArea.inp: meniscus roots represented with 3D shapes attached to an area on the tibia of the size of the core meniscal fibres G4_GenericModel_largeArea.inp: meniscus roots represented with 3D shapes attached to an area on the tibia of the size of the total meniscal fibres Variations of the specimen-specific models (for knee1, knee2, knee3, here denoted kneeX) - in specimen_specfic_model_variations.zip file Model Name, Meniscus attachment, meniscus segmentation, joint orientation kneeX_baseline.inp, Attachment on a single point on the tibia so that average spring length is 10 mm, simplified from MRI, full extension kneeX_modelF.inp, Anatomical spring attachment position on the tibia, , kneeX_modelG.inp, Spring attachment position on the tibia translated by 1 mm from kneeX_modelF, , kneeX_modelH.inp, Spring attachment position distributed along circumference of core meniscal fibres, , kneeX_modelJ.inp, Spring attachment position distributed along circumference of total meniscal fibres, , kneeX_modelK.inp, , MRI accurate, kneeX_modelL.inp, , MRI accurate, 20 degrees flexion materials_sensitivity_analysis.py: Abaqus python script which allows replication of models A to E from the associated publication Generic_models_contactOutputs.xlsx and Specimen_Specific_models_contactOutputs.xlsx contain outputs of interest for the sensitivity study.