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.
32
datasets available to search
ShareScore release 0.9.0
Dataset results
32 results for “Nanomechanics”
Data Analysis for "Laser Cooling of a Nanomechanical Oscillator to Its Zero-Point Energy"
<p>Data Analysis for the paper "Laser Cooling of a Nanomechanical Oscillator to Its Zero-Point Energy". All the original data and analysis codes in Matlab are provided. In addition, we provide a python notebook with detailed description of the data analysis.</p>
Nanomechanical probing and strain tuning of the Curie temperature in suspended Cr2Ge2Te6-based heterostructures
<p>Data files for Figs. 1-5 of the article "Nanomechanical probing and strain tuning of the Curie temperature in suspended Cr<sub>2</sub>Ge<sub>2</sub>Te<sub>6</sub>-based heterostructures" published in <em>npj 2D Materials and Applications</em>, DOI: , URL: </p>
leaf anatomy, vascular traits and nanomechanical cell-wall properties in European beech provenances
<p>The file contains leaf anatomical data (thickness of individual leaf parenchyma layers), vascular traits of leaf midrib (vessel area and density and derived parameters), and nanomechanical properties of xylem cell walls (modulus of elasticity, adhesion, energy dissipation and deformation), which were studied in 15 provenances of European beech, originating from sites distributed across the whole range of the species. The trial plot (locality Tale in central Slovakia) was established in 1998 with 2-years-old seedling within the international provenance experiment with beech coordinated by the Institute of Forest Genetics of Thuenen Institute Grosshansdorf. Leaf anatomy was studied using light microscopy, while fluorescent microscopy was used to acquire vascular traits and atomic-force microscopy for nanomechanical cell-wall traits. Sun leaves were collected from 4 trees per provenances, 1 leaf per tree was analyzed. AFM was done in a subset of 8 provenances. The aim of the study was assessing geographical trends of the studied traits and their association with climate at the sites of origin to reveal potential adaptive variation patterns.</p>
Data for Ultrahigh Quality Factor of a Levitated Nanomechanical Oscillator
<p>A levitated nanomechanical oscillator under ultra-high vacuum (UHV) is highly isolated from<br>its environment. It has been predicted that this isolation leads to very low mechanical dissipation<br>rates. However, a gap persists between predictions and experimental data. Here, we levitate a silica<br>nanoparticle in a linear Paul trap at room temperature, at pressures as low as 7 × 10−11 mbar. We<br>measure a dissipation rate of 2π ×69(22) nHz, corresponding to a quality factor exceeding 1010, more<br>than two orders of magnitude higher than previously shown. A study of the pressure dependence of<br>the particle’s damping and heating rates provides insight into the relevant dissipation mechanisms.</p>
Thickness dependence of the mechanical properties of piezoelectric high-Q_m nanomechanical resonators made from aluminium nitride
<p>Data used for figures in "Thickness dependence of the mechanical properties of piezoelectric high-Q_m nanomechanical resonators made from aluminium nitride" Anastasiia Ciers et.al <a href="https://doi.org/10.1088/2633-4356/ad9b64">Materials for Quantum Technology <strong>4</strong>, 046301 (2024)</a>; <a href="https://doi.org/10.48550/arXiv.2410.03944">arXiv:2410.03944 [cond-mat.mes-hall] (2024)</a></p>
Data for the article "Strained crystalline nanomechanical resonators with ultralow dissipation"
<p>GDS fabrication masks, ringdown traces and compilations of fit results, exemplary Raman scans, results of relevant FEM simulations and some of the scripts used for generating the plots in the manuscript.</p>
Data and codes for "Perimeter modes of nanomechanical resonators exhibit quality factors exceeding 10^9 at room temperature"
<p>Data and codes for "Perimeter modes of nanomechanical resonators exhibit quality factors exceeding 10<sup>9</sup> at room temperature"</p>
Nanomechanical crystalline AlN resonators with high quality factors for quantum optoelectromechanics
<p>Data used for figures in "Nanomechanical AlN resonators for room temperature quantum optoelectromechanics" Anastasiia Ciers et.al </p>
Nanomechanical topological insulators with an auxiliary orbital degree of freedom - source data
<p>This data set contains the source data and the matlab scripts applied to obtain the results published in "Nanomechanical topological insulators with an auxiliary orbital degree of freedom". For details of the experimental procedure please refer to the main text of the article, as well as the supplementary information. </p>
Data for publication: Nanomechanical and Structural Study of Au38 Nanocluster Langmuir-Blodgett Films Using Bimodal Atomic Force Microscopy and X-Ray Reflectivity
<p>Original data of Figures published in:</p> <p><strong>Nanomechanical and Structural Study of Au<sub>38</sub> Nanocluster Langmuir-Blodgett Films Using Bimodal Atomic Force Microscopy and X-Ray Reflectivity</strong></p> <p>Journal of Colloid and Interface Science, 2022, Michal Swierczewski<sup>,</sup> Alexis Chenneviere, Lay-Theng Lee, Plinio Maroni and Thomas Bürgi*<sup>[</sup></p> <p> </p>
Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"
<p>Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"</p>
Data from: Nanomechanics of wild-type and mutant dimers of the tip-link protein protocadherin 15
Open the record for dataset details and reuse information.
Fibronectin-Based Nanomechanical Biosensors to Map 3D Surface Strains in Live Cells and Tissue (Raw Data)
<p>This is the raw microscope imaging data for the manuscript titled "Fibronectin-Based Nanomechanical Biosensors to Map 3D Surface Strains in Live Cells and Tissue."</p>
Supporting Data for "Coupling trapped ions to a nanomechanical oscillator"
Open the record for dataset details and reuse information.
Influence of ion irradiation on the nanomechanical properties of thin alumina coatings deposited on 316L SS by PLD
<p>Set consists three folders named after the methods used to obtained the data i.e. Nanoindentation, XRD and SEM.</p> <p><strong>→ SEM </strong></p> <p>In SEM folder there are 4 original image files that make up Figure 2 in the paper. Below please find the description:</p> <p><em>Fig. 2. SEM images of: (a) etched 316L SS surface; as-deposited PLD-grown Al2O3 coating on 316L SS: (b) cross-section, (c) surface; (d) surface of PLD-grown Al2O3 coating after ion irradiation (50 dpa).</em></p> <p><strong>→ XRD</strong></p> <p>In XRD folder there are two .txt files that makes up the Fig. 3 in the paper. In each of them there are two columns, where 1<sup>st</sup> is 2θ (°) and 2<sup>nd</sup> is Intensity (counts per second). Based on the filenames, they are clearly identifiable.</p> <p><strong>→ Nanoindentation</strong></p> <p>In Nanoindentation folder there are two folders dedicated to two different materials (coating and substrate steel). In each of these folders there are subfolders indicating data for the particular material state (level of dpa). To each unique combination of the material, state and nanoindentation force there are two .txt files assigned. First is named ‘LD [material] [dpa][force].txt’ and contains Load-displacement data. In such a file there are two columns, where 1<sup>st</sup> is force (mN) and 2<sup>nd</sup> is displacement (nm). Single curves are arranged one under another (separated with two empty rows). Second file is named ‘AR [material] [dpa][force].txt’ and contains aggregate data. For reproducing the calculations given in the paper, first seven columns from the file are needed:</p> <p>1<sup>st</sup> – measurement No</p> <p>3<sup>rd</sup> - Maximum indentation depth h(max) (nm)</p> <p>4<sup>th</sup> - Indenter contact depth at F(max) h(c) (nm)</p> <p>5<sup>th</sup> – Maximum force (mN)</p> <p>6<sup>th</sup> - Indentation hardness H(IT) (GPa)</p> <p>7<sup>th</sup> – Reduced modulus E (GPa)</p>
AFM-Based High-Throughput Nanomechanical Screening of Single Extracellular Vesicles
<p>I the present study, a novel AFM-based high throughput mechanical characterization for extracellular vesicles is presented. The method relies on the analysis of vesicles morphometry following their adsorption on surfaces. The deformation extent of the vesicle, which is representative of the vesicle stiffness, is evaluated by the calculation of the so-called vesicle contact angle. The method was applied to different etracellular vesicles (EVs) samples from different natural sources and was employed for spotting the presence of non-vesicular contaminants.</p>
Observing polarization patterns in the collective motion of nanomechanical arrays
<p>This file contains the data and code for the paper "Observing polarization patterns in the collective motion of nanomechanical arrays".</p>
Interrelated chemical-microstructural-nanomechanical variations in the structural units of the cuttlebone of Sepia officinalis
<p>Raw data for our paper: "Interrelated chemical-microstructural-nanomechanical variations in the structural units of the cuttlebone of <em>Sepia officinalis</em>" <strong>DOI: </strong>10.1063/1.4993202</p>
The data and analysis code used to produce the nanomechanical plots in "Stress control of tensile-strained In_{1-x}Ga_{x}P nanomechanical string resonators"
<p>Data and code for figures in "Stress control of tensile-strained In_{1-x}Ga_{x}P nanomechanical string resonators"</p>
Data-driven fingerprint nanomechanical mass spectrometry
Open the record for dataset details and reuse information.
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.