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ShareScore release 0.9.0
Dataset results
193 results for “dislocation”
Compass Hinge Stabilization of Knee Dislocations: A Randomized Trial
ClinicalTrials.gov study NCT00582517. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Polymorphic structure of a-type screw dislocation cores in alpha-Ti
Open the record for dataset details and reuse information.
Dataset for the article entitled: "Revealing the strengthening contribution of stacking faults, dislocations and grain boundaries in severely deformed LPBF AlSi10Mg alloy"
<p>Dataset includes:</p> <p>EBSD data:</p> <p>AlSi10Mg_HT320.ang - Heat treated sample</p> <p>HT320E100.ang - Heat treated ECAP processed sample</p> <p>TKD data:</p> <p>HT320E100.ang - Heat treated ECAP processed sample</p> <p>XRD data:</p> <p>AlSi10Mg_HT320.ASC - Heat treated sample</p> <p>AlSi10Mg_HT320_ECAP100.ASC - Heat treated ECAP processed sample</p>
Data for: Left Dislocation in spoken Hebrew
<p>This is an MS Excel file with all the examples used for the study. The examples are presented in the original Hebrew transcript with the indication of the source file in CoSIH (column C) (examples with no source are from the Haifa corpus). The examples are annotated for their interactional properties (columns f-i), prosody (e), disfluency (j-p), pragmatic status of the referent (q-w), whether the IU communicates a question or an answer to a question (x,y), updating properties (z-ad), LD-like structure (ae-al), the form of the stand alone NP (am-ap), and some common interpretations associated with LD (aq-au).</p> <p>In the first tab (examples), the examples are situated in their context, one IU/row. The second tab extracts the examined IUs. The third tab clarifies the prosodic coding. The other tabs group the data by the examined factor for their joint examination (potentially beyond the annotated features), as common in interactional studies.</p>
Dataset from "Monte Carlo-Discrete Dislocation Dynamics: A technique for studying the formation and evolution of dislocation structures"
<p>Raw datasets used in the manuscript:</p> <p>N. Deka and R. B. Sills, Monte Carlo-Discrete Dislocation Dynamics: A technique for studying the formation and evolution of dislocation structures, Modelling and Simulation in Materials Science and Engineering, 2022</p> <p>doi: 10.1088/1361-651X/ac41a2</p> <p>See Readme.txt file for details.</p>
Density field data & VTK files for dislocation embedding analysis
<p>The dataset includes dislocation density field results and VTK files from the discrete dislocation dynamics (DDD) simulation of an FCC-based structure (Al).</p> <p>Various loading directions in compression ([100], [110], [111], [234]) and their misorientations (-10°, -5°, 0°, +5°, +10°) were analyzed using two different initial dislocation densities in the DDD simulation.</p> <p>Post-processing was done with two different discretizations, yielding a dataset with the following description:</p> <p><strong>ddd_8res_0deg </strong>— 8x16x8 discretization data with 0° misorientation.<br><strong>ddd_8res_p5deg</strong> — 8x16x8 discretization data with +5° misorientation.<br><strong>ddd_8ress_m5deg </strong>— 8x16x8 discretization data with -5° misorientation.<br><strong>ddd_8res_p10deg</strong> — 8x16x8 discretization data with +10° misorientation.<br><strong>ddd_8res_m10deg </strong>— 8x16x8 discretization data with -10° misorientation.</p> <p><strong>ddd_16res_0deg </strong>— 16x32x16 discretization data with 0° misorientation.<br><strong>ddd_16res_p5deg </strong>— 16x32x16 discretization data with +5° misorientation.<br><strong>ddd_16ress_m5deg</strong> — 16x32x16 discretization data with -5° misorientation.<br><strong>ddd_16res_p10deg </strong>— 16x32x16 discretization data with +10° misorientation.<br><strong>ddd_16res_m10deg </strong>— 16x32x16 discretization data with -10° misorientation.</p> <p><strong>config1</strong> — \(2.5 \times 10^{13} \text{ m}^{-2}\)<br><strong>config2 </strong>— \(1 \times 10^{14} \text{ m}^{-2}\)</p> <p>This dataset complements a related publication as additional information. The link to the publication will be made available after it is published.</p>
Density field data, VTK files and Jupyter notebook for dislocation embedding analysis (with periodic boundary condition)
<p><strong>pbc_dataset.zip</strong></p> <p>The density field data is only for 0 degrees of misorientation with loading directions along [100], [110], [111], [234]. </p> <p>Folder paths for low density and low resolution simulation are:</p> <ol> <li>0deg/dir100/2.5e+13/config3/10x10x10</li> <li>0deg/dir110/2.5e+13/config3/10x10x10</li> <li>0deg/dir111/2.5e+13/config3/10x10x10</li> <li>0deg/dir234/2.5e+13/config3/10x10x10</li> </ol> <p>Folder paths for high density and high resolutions are:</p> <ol> <li>0deg/dir100/1e+14/config1/20x20x20</li> <li>0deg/dir110/1e+14/config1/20x20x20</li> <li>0deg/dir111/1e+14/config1/20x20x20</li> <li>0deg/dir234/1e+14/config1/20x20x20</li> </ol> <p>Each set of simulation has 2000 density field data files. Total files : 16000</p> <p>Please ensure that above paths are entered in the Jupyter notebook script file.</p> <p> </p> <p><strong>vtk.zip</strong></p> <p>VTK files for each simulation. Each simulation has 2000 files. </p> <p><strong>Dislocation_embeddings_pbc.ipynb</strong></p> <p>Jupyter notebook to generate dislocation embeddings for uploaded dataset.</p> <p> </p>
STEM Data ANP-3 Unirradiated Dislocation Density
<p>STEM data on the unirradiated RPV steel ANP-3 for the ENTENTE Database</p>
STEM Data ANP-6 Unirradiated Dislocation Density
<p><span><span>STEM data on the unirradiated RPV weld ANP-6 for the ENTENTE Database</span></span></p>
STEM Data ANP-10 Unirradiated Dislocation Density
<p><span><span>STEM data on the unirradiated RPV steel ANP-10 for the ENTENTE Database</span></span></p>
STEM Data JRQ Unirradiated Dislocation Density
<p>STEM data on the unirradiated RPV steel JRQ for the ENTENTE Database</p>
STEM Data JFL Unirradiated Dislocation Density
<p><span><span>STEM data on the unirradiated RPV steel JFL for the ENTENTE Database</span></span></p>
GaN_Dislocations_1 EBSD Example data
<p>EBSD Example data from a GaN sample, measured by Naresh Gunasekar. Data conversion by Aimo Winkelmann.</p>
Long Head of Biceps as an Anterior Dynamic Sling for Recurrent Anterior Shoulder Dislocation
ClinicalTrials.gov study NCT06870721. IPD Sharing: NO. Countries: 1. Publications: 4.
DSAEK- Postoperative Positioning and Transplant Dislocation
ClinicalTrials.gov study NCT01206127. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Anterior Shoulder Dislocation
ClinicalTrials.gov study NCT01585467. IPD Sharing: Not stated. Countries: 2. Publications: 10.
Comparison of Dynamic and Static Medial Patellofemoral Ligament Operation Technique for Recurrent Patellar Dislocation
ClinicalTrials.gov study NCT04849130. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ultrasound Guided Autologous Blood Injection in Temporomandibular Joint Dislocation
ClinicalTrials.gov study NCT06244134. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Conservative or Surgical Management of Rockwood Type III to V Acromioclavicular Dislocations
ClinicalTrials.gov study NCT02677441. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Prospective Descriptive Study of Injuries Associated to Anterior Shoulder Dislocations in Patients Over 40 Years
ClinicalTrials.gov study NCT05898243. IPD Sharing: NO. Countries: 1. Publications: 9.
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.