Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,607
datasets available to search
ShareScore release 0.9.0
Dataset results
5,607 results for “Knee”
On the Consequences of Intraoperative Release vs Over-tensioning of the Posterior Cruciate Ligament in Total Knee Arthroplasty
<p>This dataset contains data derived from musculoskeletal modeling to investigate the effects of posterior cruciate ligament (PCL) tensioning in total knee arthroplasty (TKA). The findings indicate minimal differences in knee kinematics and kinetics for PCL releases of up to 10%, regardless of implant conformity. However, over-tensioning the PCL significantly increases joint overload, potentially compromising implant longevity. These results suggest that, in cases where precise intraoperative PCL tensioning cannot be reliably achieved, a slightly looser PCL may be preferable to mitigate complications associated with excessive tension.</p> <p>The structure of the data is detailed in the accompanying <code>Data Description.txt</code> file, which is provided alongside the dataset (<code>JRSI_Data.mat</code>).</p>
Reduced isometric knee extensor force following anodal transcranial direct current stimulation of the ipsilateral motor cortex
<p>Background: The goal of this study was to determine if 10-min of anodal transcranial direct current stimulation (a-tDCS) to the motor cortex (M1) is capable of modulating quadriceps isometric maximal voluntary contraction (MVC) force or fatigue endurance contralateral or ipsilateral to the stimulation site.</p> <p>Results: The main finding of this study was a significant interaction effect for stimulation condition x leg tested x time [F(1,60) =7.156, p = 0.010, ηp2 = 0.11] which revealed significant absolute KE MVC force impairments in the contralateral leg following s-tDCS (p < 0.001, d =1.2) and in the ipsilateral leg following a-tDCS (p < 0.001, d = 1.09). A significant interaction effect for condition x leg tested [F(1,56) = 8.12, p = 0.006, ηp2 = 0.13], showed a significantly lower left quadriceps (ipsilateral to tDCS) relative MVC force with a-tDCS, versus s-tDCS [t(15) = -3.07, p = 0.016, d = -0.77]. There was no significant difference between the relative right quadriceps (contralateral to tDCS) MVC force for a-tDCS and s-tDCS. Although, there was an overall significant [F(1,56) = 8.36, p < 0.001] 12.1% force decrease between the first and twelfth MVC repetitions, there were no significant main or interaction effects for fatigue index force.</p> <p>Conclusion: Hence, a-tDCS may be ineffective at increasing maximal force or endurance and instead may be detrimental to quadriceps force production.</p>
Knee adduction moment decomposition
<p>What are the components of the knee adduction moment?</p> <p>We divided the knee adduction moment into four components that are related to the biomechanical parameters used for gait adaptation. The motion capture data from a subject walking with and without a brace at three different speeds is included in the data set. The code computes the four components of the knee adduction moment. </p>
Rotherhithe Picture Library Knee 4
A ship's knee timber reused to hold up ceiling joists in Rotherhithe Picture Library, Sands Films Studios, London. Scale: A 30cm ruler (red side strip) can be seen on the model. Photos taken in February 2020 (during recording by Eliott Wragg, TDP) with a Sony a6000 and processed in Reality Capture. Assistance kindly provided by Alan Murphy. Source: Objaverse 1.0 / Sketchfab
Rotherhithe Picture Library Knees 20 & 21
Two ship's knee timbers reused to hold up ceiling joists in Rotherhithe Picture Library, Sands Films Studios, London. Scale: A 30cm ruler (red side strip) can be seen on the model. Photos taken in February 2020 (during recording by Eliott Wragg, TDP) with a Sony a6000 and processed in Reality Capture. Assistance kindly provided by Alan Murphy. Source: Objaverse 1.0 / Sketchfab
Rotherhithe Picture Library Knee 28
A ship's knee timber reused to hold up ceiling joists in Rotherhithe Picture Library, Sands Films Studios, London. Scale: A 30cm ruler (red side strip) can be seen on the model. Photos taken in February 2020 (during recording by Eliott Wragg, TDP) with a Sony a6000 and processed in Reality Capture. Assistance kindly provided by Alan Murphy. Source: Objaverse 1.0 / Sketchfab
Rotherhithe Picture Library Knee 30
A ship's knee timber reused to hold up ceiling joists in Rotherhithe Picture Library, Sands Films Studios, London. Scale: A 30cm ruler (red side strip) can be seen on the model. Photos taken in February 2020 (during recording by Eliott Wragg, TDP) with a Sony a6000 and processed in Reality Capture. Assistance kindly provided by Alan Murphy. Source: Objaverse 1.0 / Sketchfab
Rotherhithe Picture Library Knee 1
A ship's knee timber reused to hold up ceiling joists in Rotherhithe Picture Library, Sands Films Studios, London. Scale: A 30cm ruler (red side strip) can be seen on the model. Photos taken in February 2020 (during recording by Eliott Wragg, TDP) with a Sony a6000 and processed in Reality Capture. Assistance kindly provided by Alan Murphy. Source: Objaverse 1.0 / Sketchfab
Rotherhithe Picture Library Knee 5
A ship's knee timber reused to hold up ceiling joists in Rotherhithe Picture Library, Sands Films Studios, London. Scale: A 30cm ruler (red side strip) can be seen on the model. Photos taken in February 2020 (during recording by Eliott Wragg, TDP) with a Sony a6000 and processed in Reality Capture. Assistance kindly provided by Alan Murphy. Source: Objaverse 1.0 / Sketchfab
Effect Of Pulsed Electromagnetic Field And Microwave Therapy On Pain And Physical Function In Older Adults With Knee Osteoarthritis: A Randomized Clinical Trial.
<p><strong><span>Background and purpose:</span></strong><span> </span><span>Pulsed electromagnetic field (PEMF) therapy and microwaves (MW) are two electrotherapy modalities that have shown to improve pain and function in patients with knee osteoarthritis (KOA). Nevertheless, the effectiveness of these therapies is controversial due to diversity in the application parameters and treatment protocols in these patients. The objective is to compare the effectiveness of active PEMF versus MW, as well as sham PEMF, in addressing pain and improving functionality for treating KOA.</span></p> <p><strong><span>Methods:</span></strong><span> </span><span>Double-blind, placebo-controlled, randomized clinical trial. Participants diagnosed with KOA were assigned to an intervention combining an exercise program with active PEMF, MW, or sham PEMF, delivered in three weekly sessions over four weeks. The main outcomes were pain, reported on a 0–10 cm visual analogue scale (VAS), and functionality, as evaluated with the Western Ontario and McMaster Universities Arthritis (WOMAC) questionnaire, and the Timed Up and Go test. The outcomes were measured at pre-intervention, immediately post-intervention, and one and four months after the intervention.</span></p>
Raw Data to manuscript on "Oxidation of a Zirconium Nitride Multilayer Covered Knee Implant after Two Years in Clinical Use"
<p>This dataset contains the raw data for the manuscript "Oxidation of a Zirconium Nitride Multilayer Covered Knee Implant after Two Years in Clinical Use", especially TEM, APT and SIMS data</p>
Cone beam computed tomography dataset of a knee phantom
<p>This is a cone beam computed tomography dataset of a custom-made knee phantom. The data was collected with Planmeca Viso G7 scanner. A total of 500 projections were collected. 100 kV with 80 mAs was used during the measurement. The data is stored in a mat-file that can be easily accessed in MATLAB, GNU Octave, Python, Julia, C/C++ and other languages. Only the flat field correction has been preapplied to the projection images, no other corrections have been done.</p> <p>Included are the FOV size, size of one detector pixel, the flat value, number of columns and rows in each projection image, the offset value for the object, the radians for the rotation of the panel (yaw/roll), the projection images themselves, the projection angles, the source to center of rotation and source to panel distances and the coordinates for the source and the center of the panel for each projection.</p> <p>The OMEGA software includes an example on how to use this dataset (all CBCT examples) in MATLAB/Octave and Python.</p>
Distal Femoral Landmarks from Skeletons with Total Knee Arthroplasty
<p>This dataset contains raw 3D landmark coordinates for the articular surface of the distal femur. The sample consists of 43 modern adult human skeletons from the University of Tennessee Donated Skeletal Collection. 12 of the skeletons received unilateral total knee arthroplasty (TKA) during life due to osteoarthritis; landmarks for these individuals were taken on the non-replaced (healthy) antimere. The remaining 31 individuals serve as controls, having received no knee replacement during life and showing no signs of joint degenerative disease. </p>
Radiologic zonal fixation assessment and risk of aspectic loosening in revision knee surgery with hybrid fixated tibial components
<p>Datafile with 99 patients of which 33 patient had a re-revision for aseptic loosening of the tibial component and 66 controls (without rerevision for aspectic loosening). All patients had been treated with the Legion revision knee system (Smith & Nephew) with a hybrid fixated tibial component.</p>
Deciphering the low abundance microbiota of presumed aseptic hip and knee implants
<p><strong>Deciphering the low abundance microbiota of presumed aseptic hip and knee implants</strong></p> <p>This data set includes input files and results associated with our work "Deciphering the low abundance microbiota of presumed aseptic hip and knee implants".</p> <p><strong>Contents</strong></p> <p><em>aitch_dist.txt</em>: Aitchison distance matrix</p> <p><em>clinical_envfit.RData</em>: envfit results for clinical information</p> <p><em>contam_by_freq_0.2.txt</em>: decontam results (identifying contaminants by frequency)</p> <p><em>contam_by_prev_0.2.txt</em>: decontam results (identifying contaminants by prevalence)</p> <p><em>counts.txt</em>: counts table resulting from reads processed with custom demultiplexing script</p> <p><em>cutadapt_counts.txt</em>: counts table resulting from reads processed with cutadapt</p> <p><em>cutadapt_meta.txt</em>: metadata table accompanying <em>cutadapt_counts.txt</em></p> <p><em>cutadapt_tax.txt</em>: taxonomy table resulting from reads processed with cutadapt</p> <p><em>cutadapt_track.txt</em>: table summarizing retention of reads processed with cutadapt throughout the DADA2 pipeline</p> <p><em>dna_concs.txt</em>: DNA concentrations per sample</p> <p><em>extraction_aldex2.txt</em>: ALDEx2 results for comparison of DNA extraction methodologies</p> <p><em>extraction_envfit_and_pca.RData</em>: envfit results and PCA biplot for DNA extraction methodologies</p> <p><em>extraction_shannon_diversity.txt</em>: Shannon diversity and extraction methodology per sample</p> <p><em>fwd_barcodes.fasta</em>: forward barcodes for use by cutadapt</p> <p><em>meta.txt</em>: metadata table accompanying <em>counts.txt</em></p> <p><em>meta_clinical.txt</em>: metadata table for clinical information</p> <p><em>meta_st.txt</em>: metadata for use by SourceTracker</p> <p><em>not_contam_0.05.txt</em>: decontam results (identifying non-contaminants)</p> <p><em>pt_oac_aldex2.txt</em>: ALDEx2 results for comparison of sample type, controlling for the effect of DNA extraction methodology</p> <p><em>pt_oac_envfit_and_pca.RData</em>: envfit results and PCA biplot for sample type </p> <p><em>pt_oac_shannon_diversity.txt</em>: Shannon diversity, sample type, and extraction methodology per sample</p> <p><em>rev_barcodes.fasta</em>: reverse barcodes for use by cutadapt</p> <p><em>spike_1_dists.txt</em>: Aitchison distances between spike 1 samples and other samples on the same plate</p> <p><em>spike_2_dists.txt</em>: Aitchison distances between spike 1 samples and other samples on the same plate</p> <p><em>tax.txt</em>: taxonomy table resulting from reads processed with custom demultiplexing script</p> <p><em>track.txt</em>: table summarizing retention of reads processed with custom demultiplexing script throughout the DADA2 pipeline</p> <p><strong>Code Availability</strong></p> <p>Scripts to process and produce these data are available at https://github.com/charlie-carr/implant_microbiota</p> <p><strong>Citation</strong></p> <p>Carr C, Wilcox H, Burton JP, Menon S, Al KF, O’Gorman D, et al. (2021) Deciphering the low abundance microbiota of presumed aseptic hip and knee implants. PLoS ONE 16(9): e0257471. https://doi.org/10.1371/journal.pone.0257471</p>
Sensor-based telerehabilitation system increases patient adherence after knee surgery
<p><strong>Objectives: </strong></p> <p>Implementing evidence-based recommendations with the option of patient-individualised and situation-specific adaptations in telerehabilitation may increase adherence with improved clinical outcome.</p> <p><strong>Methods:</strong></p> <p>As part of a registry-embedded hybrid design, digital medical device (DMD)-usage in a home-based setting was analysed in a multinational registry. The DMD combines an inertial motion-sensor system with instructions for exercises and functional tests on smartphones. A prospective, single-blinded, patient-controlled, multicentre intervention study (DRKS00023857) compared implementation capacity of the DMD to standard physiotherapy. Usage patterns by health care providers (HCP) were assessed.</p> <p><strong>Results and Conclusion:</strong></p> <p>Registry raw data (10,311 measurements) were analysed from 604 DMD-users, demonstrating clinically expected rehabilitation progression post knee injuries. DMD-users performed tests for range-of-motion, coordination and strength/speed enabling insight to stage-specific rehabilitation (χ<sup>2</sup>=44.9, p<0.001). Intention-to--treat-analysis revealed DMD-users to have significantly higher adherence to the rehabilitation intervention compared to the matched patient-control-group (86% vs. 74%, p<0.05). DMD-users performed recommended exercises at home with higher intensity (p<0.05). HCP used DMD for clinical decision making. No adverse events related to the DMD were reported. Adherence to standard therapy recommendations can be increased using novel high quality DMD with high potential to improve clinical rehabilitation outcome, enabling evidence-based telerehabilitation.</p>
Data From: B1 Field inhomogeneity correction for qDESS T2 mapping: application to rapid bilateral knee imaging
<p><strong>Purpose</strong>: T2 mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral imaging may be useful in investigating the role of between-knee asymmetry in OA onset and progression. The quantitative double-echo in steady-state (qDESS) can provide fast simultaneous bilateral knee T2 and high-resolution morphometry for cartilage and meniscus.<br> The qDESS uses an analytical signal model to compute T2 relaxometry maps, which require knowledge of the flip angle (FA). <br> In the presence of B1 inhomogeneities, inconsistencies between the nominal and actual FA can affect the accuracy of T2 measurements.<br> We propose a pixel-wise B1 correction method for qDESS T2 mapping exploiting an auxiliary B1 map to compute the actual FA used in the model.<br> <br> <strong>Methods</strong>: The technique was validated in a phantom and in vivo with simultaneous bilateral knee imaging. <br> T2 measurements of femoral cartilage (FC) of both knees of six healthy participants were repeated longitudinally to investigate the association between T2 variation and B1.</p> <p><strong>Results</strong>: The results showed that applying the B1 correction mitigated T2 variations that were driven by B1 inhomogeneities. <br> Specifically, T2 left-right symmetry increased following the B1 correction (rc = 0.74 > rc = 0.69). Without the B1 correction, T2 values showed a linear dependence with B1. The linear coefficient decreased using the B1 correction (from 24.3 <span class="math-tex">\(\pm\)</span> 1.6 ms to 4.1 <span class="math-tex">\(\pm\)</span> 1.8) and the correlation was not statistically significant after the application of the Bonferroni correction (p-value > 0.01).<br> <br> <strong>Conclusion</strong>: the study showed that B1 correction could mitigate variations driven by the sensitivity of the qDESS T2 mapping method to B1, therefore increasing the sensitivity to detect real biological changes. The proposed method may improve the robustness of bilateral qDESS T2 mapping, allowing for an accurate and more efficient evaluation of OA pathways and pathophysiology through longitudinal and cross-sectional studies.</p> <p><strong>This repository contains the raw data for reproducing the results reported in the paper. The data are provided in NIFTI format. The repository also contains the MALTAB scripts used to compute B<sub>1</sub> maps from the NIFTI data.</strong></p>
Assessment of Fast-Track pathway in hip and knee replacement surgery by propensity score matching on patient-reported outcomes
<p>This is the dataset accompanying the publication "Assessment of Fast-Track pathway in hip and knee replacement surgery by propensity score matching on patient-reported outcomes" published on the Diagnostics journal.</p>
Discrete ankle, knee and hip kinematic parameters for overground walking assessed using inertial sensors in patients with various orthopaedic conditions
<p>The goal of this study was to take the first step towards a diagnosis tool for multi-joint patients by investigating whether it is possible to distinguish subjects respective their disease group solely based on discrete parameters describing their gait pattern.</p> <p>A dataset including patients with unilateral knee or hip osteoarthritis, cervical or lumbar spinal stenosis, and healthy controls was compiled. All participants performed a gait analysis comprising approximately 30 steps at their self-selected preferred walking speed. Spatiotemporal parameters and ankle, knee and hip kinematic trajectories were captured using the inertial sensor system RehaGait® (RehaGait Hasomed GmbH, Magbedurg, Germany). </p> <p>Data of 254 participants were extracted from the laboratory database projects. After checking for duplicates and removing data that did not pass the quality check, 206 participants remained in the final dataset, including 30 patients with unilateral knee ostoarthritis, 20 with unilateral hip osteoarthritis, 43 with lumbar spinal stenosis, 17 with cervical spinal stenosis, and 96 healthy controls. Discrete parameters were extracted for each step using an inhouse algorithm written in Matlab. Mean values for all parameters were calculated for each participant and side and used for further analysis. Sociodemographic data, spatiotemporal parameters, and calculated angles were collected in one dataset, which was then checked for missing values. Missing values of the healthy participants were filled with the mean angle of this group. Missing values in the patient group were filled using the nearest-neighbors method.</p>
How do patients sleep after orthopedic surgery? Changes in objective sleep parameters and pain in hospitalized patients undergoing hip and knee arthroplasty
<p><strong>Aim.</strong> Sleep impairment after hip and knee arthroplasty is multifactorial and still poorly understood and post-operative pain is a potential cause of sleep deprivation or disturbances. The aim of this study was to assess actigraphy-based sleep characteristics and pain scores in patients undergoing knee or hip joint replacement and hospitalized for ten days after surgery. <strong>Methods.</strong> In this observational cohort study, n=20 subjects (11 males and 9 females; age: 64.0±10.39 years old) completed a daily sleep diary and wore the Actiwatch 2 actigraph (Philips Respironics, Portland, OR) to record sleep parameters for 11 consecutive days, starting the day before surgery and ending the 10<sup>th</sup> day after surgery. Subjective scores of pain, by a visual analog scale (VAS), were constantly monitored for the entire experimental protocol. The following evaluation time-points have been considered for the analysis: pre-surgery (PRE), the first (POST1), the fourth (POST4) and the tenth day (POST10) after surgery. A repeated-measures one-way analysis of variance followed by the Tukey-Kramer post hoc tests, or the equivalent nonparametric Friedman test followed by the Dunn’s multiple comparisons, was applied to test differences in sleep and pain among time-points. Test for correlation between mean VAS score and the sleep parameters at each post-operative time point were performed using Pearson’s method. <strong>Results.</strong> Sleep quantity and timing parameters did not differ from PRE to POST10, during the hospitalization. On the contrary, Sleep Efficiency (p=0.006; η<sup>2</sup><sub>p</sub>=0.45, large), Sleep Latency (p=0.039; η<sup>2</sup><sub>p</sub>=0.37, large), Wake After Sleep Onset (p=0.042; η<sup>2</sup><sub>p</sub>=0.34, large), Immobility Time (p=0.005; η<sup>2</sup><sub>p</sub>=0.47, large) and Fragmentation Index (p=0.016; η<sup>2</sup><sub>p</sub>=0.36, large) displayed significant differences. In detail, Sleep Efficiency and Immobility Time significantly decreased at POST1 compared to PRE by 10.8% (p=0.003; ES: 0.9, moderate) and 9.4% (p=0.005; ES: 0.86, moderate) respectively. Overall, all sleep quality parameters showed a trend of constant improvement from POST1 to POST10. VAS scores were higher in the 1<sup>st</sup> day post-surgery (4.58 ± 2.46; p=0.0011 and ES: 1.40, large) compared to POST10 (1.68 ± 1.58) and in POST4 (3.85 ± 2.31) compared to POST10 (-2.18; p=0.0087 and ES: 1.09, moderate). During time, mean VAS showed significant negative correlations with mean Sleep Efficiency (r = -0.71; p=0.021) and mean Immobility Time (r = - 0.83; p=0.003) and a significant positive correlation with Fragmentation Index (r = 0.70; p=0.023), highlighting that high scores of pain were associated with lower overall sleep quality. <strong>Conclusion.</strong> Sleep quantity and timing parameters were stable during the entire hospitalization whereas sleep quality parameters significantly worsened the 1<sup>st</sup> night after surgery compared to the pre-surgery night and, overall, these parameters showed a trend of constant improvement until discharge. Pain scores were at the highest level the 1<sup>st</sup> day after surgery and at the lowest level before discharge with a negative correlation between pain and sleep quality parameters during time. The present study confirms the important impact of surgery on sleep parameters, especially on the first few post-operative days.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.