Skip to main content
Powered by ShareScore

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.

18

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

18 results for “Nanoindentation”

Learn how ShareScore rates datasets ↗
zenodo48/100

nanoindentation data associated with the publication "On the elastic microstructure of bulk metallic glasses" in Materials&Design 2023

<p>This dataset consists of indentation data measured with a conospherical tip in a Hysitron-Bruker TI980 Nanoindenter on the surface of a &lt;100&gt; Silicon wafer and a polished cross-sectional cut of a Zr65Cu25Al10 bulk metallic glass.</p> <p>It is associated with&nbsp;the following publication:&nbsp;<br>Birte Riechers, Catherine Ott, Saurabh Mohan Das, Christian H. Liebscher, Konrad Samwer, Peter M. Derlet and Robert Maass "On the elastic microstructure of bulk metallic glasses" Materials and Design 229, (2023) 111929. https://doi.org/10.1016/j.matdes.2023.111929</p> <p>All experimental information can be found in this paper and in the accompanying supplementary information.</p> <p>This electronic version of the data was published on the "Zenodo Data repository" found at http://zenodo.org/deposit in the community "Bundesanstalt fuer Materialforschung und -pruefung (BAM)".</p> <p>The authors have copyright to these data. You are welcome to use the data for further analysis, but are requested to cite the original publication whenever use is made of the data in publications, presentations, etc.&nbsp;</p> <p>Any questions regarding the data can be addressed to birte.riechers@bam.de who would also appreciate a note if you find the data useful.</p> <p>____________________________________________________________________</p> <p>The data format is defined as described below:</p> <p>In total, Fifteen text files exist that result in five different data sets.</p> <p>Two data sets represent measurements on Silicon, these are specifically the topography (mapped height profile) and indentation modulus (Si-topography.txt and Si-modulus.txt). The connected lateral information of these mapped quantities (i.e. Si-X_topography.txt and Si-Y_topography.txt; Si-X_modulus.txt and Si-Y_modulus.txt). This amounts to six .txt files connected to measurements on Silicon.</p> <p>Three data sets represent measurements on the Zr65Cu25Al10 bulk metallic glass. These are specifically the topography (MG-topography.txt), the indentation modulus (MG-modulus.txt), and the curvature-corrected indentation modulus (MG-curvcorr_modulus.txt). The connected lateral information of these mapped quantities (i.e. MG-X_topography.txt and MG-Y_topography.txt; MG-X_modulus.txt and MG-Y_modulus.txt; MG-X_curvcorr-modulus.txt and MG-Y_curvcorr-modulus.txt). This amounts to nine .txt files connected to measurements on the metallic glass.</p> <p>The files are plain text files with the data points separated by commata. Topography data is stated in units of Nanometer, modulus data is stated relative to its mean as unit-less values.</p> <p>Beside the .txt files, one figure (.pdf) with a plot of each data set is provided for reference, and the python code (Riechers_OnTheElasticMicrostructureOfBulkMetallicGlasses_zenodo.ipynb) generating these figures from the data sets is uploaded to this repository as well.</p>

opencc-by-4.0Apr 2023View details →
zenodo48/100

Data publication supplementing "Novel nanoindentation strain rate sweep method for continuously investigating the strain rate sensitivity of materials at the nanoscale"

<p>This data publication contains the results of nanoindentation tests on Fused silica, nanocrystalline nickel, a nanocrystalline FeCr alloy, a bulk metallic glass, the superplastic alloy Zn-22%Al and single crystalline aluminum as well as the method files developed for the G200 nanoindenter. It supplements the publication "Novel nanoindentation strain rate sweep method for continuously investigating the strain rate sensitivity of materials at the nanoscale". The materials are described in more detail in the respective publication. The data publication takes over the sample naming convention from the related publication.&nbsp;</p><p>Nanoindentation measurement were performed by H. Holz at the Max-Planck Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 40237 Düsseldorf, Germany using a G200 nanoindenter (KLA, Milpitas, CA, USA), equipped with a modified Berkovich diamond indenter tip of the type 171-561-500 with a serial number of C-0040446 from Synton MDP (Nidau, Switzerland). Constant strain rate tests, strain rate jump tests, strain rate sweep tests and strain rate sweep reversal tests were performed on each material in Continuous Stiffness Measurement (CSM) mode. The maximum indentation depth was 2200 nm, the CSM amplitude 2 nm and the CSM frequency 45 Hz. Strain rates were varied within the range 0.001 – 0.1 s-1. Further information on the test protocol can be found in the corresponding publication.</p><p>The subfolder "Nanoindentation data" contains the raw data for all valid indents as output by the NanoSuite © software v 7.1.7 and converted to the semicolon-separated format. The naming convention for the folder in which the CSV files are located in gives first the used material, then the method used with additional information to the parameters inputted for the method such as strain rate and indentation depth all separated by an underscore. An example can be "FS_CSR_01s-1" for a constant strain rate tests performed on fused silica with a strain rate target of 0.1 s-1 or "Nc-Ni_SweepReversal_005s-1_0005s-1" for a sweep reversal test performed on the nanocrystalline nickel sample with a targeted initial and ending strain rate of 0.05 s-1 and a strain rate target at which the strain rate direction gets reversed of 0.005 s-1. The CSV files are named either "Results" giving the average results of each test, "Required Inputs" giving information about the parameters used for the experiments, "Inputs Editable Post Test" giving information about the analysis parameters to obtain the results from, and "Test XXX" which include the Raw data of the corresponding test number. In each file the first row gives the data description e.g., "Time", the second row the physical unit e.g., "s" for seconds and from the third row the measured values.</p><p>The Nano Suite method files to perform the experiments on KLA G200 instruments is provided in the folder "G200 methods". The method for the strain rate sweep experiments is called "Strain Rate Sweep.msm" and the method for the strain rate sweep reversal experiments "Strain Rate Sweep Reversal.msm". This method is provided as is and shall be used at your own risk. The authors explicitly decline responsibility for any physical or immaterial damage resulting from the use of this method. Should minor issues occur, some feedback to the authors would be greatly appreciated.</p>

opencc-by-4.0Oct 2023View details →
zenodo44/100

Nanoindentation Datasets of Copper-Chromium Composits

<p>This dataset contains supplementary material for the publication on&nbsp;Unsupervised Learning of Nanoindentation<br> Data - Inferring Microstructural Details of CuCr&nbsp;Alloys.</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

<p>Dataset corresponding to the following manuscript:&nbsp;</p> <p>Slagter, A., Setyadji, J.A., Vogt, E.L.&nbsp;<em>et al.</em> Nanoindentation Hardness and Modulus of Al<sub>2</sub>O<sub>3</sub>&ndash;SiO<sub>2</sub>&ndash;CaO and MnO&ndash;SiO<sub>2</sub>&ndash;FeO Inclusions in Iron. <em>Metall Mater Trans A</em> (2024). https://doi.org/10.1007/s11661-024-07330-x</p> <p>&nbsp;</p> <p>The dataset contains raw nanoindentation data both in .hys (Hysitron software) and .txt format, as well as the files used for post-processing of the data.</p> <p>It also contains thermodynamic simulation files produces with Thermo-Calc software and its correspondig results exported to .txt format</p>

opencc-zeroMar 2024View details →
zenodo36/100

Data for "Investigation of local strain rate sensitivity in dual-phase Ti alloys by nanoindentation"

<p>Data for &quot;Investigation of local strain rate sensitivity in dual-phaes Ti alloys by nanoindentation&quot;</p> <p>Tea-Sung Jun1, David E.J. Armstrong2 and T. Benjamin Britton1<br /> 1. Department of Materials, Imperial College London, Prince consort Road, London, SW7 2AZ, UK<br /> 2. Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK</p> <p>--</p> <p>This nanoindentation data folder contains 3 subfolders:<br /> (1) Raw indentation data obtained from TestWorks<br /> (2) Data for Figure 4<br /> (3) Data for Figure 5</p> <p>--</p> <p>In the subfolder (1), each file name indicates Material_Grain orientation_Indentation strain rate (e.g. 6242_H_0001).&nbsp;<br /> For the subfolders (2) and (3), readers can plot the graphs either using Excel, OriginPro or other software.&nbsp;<br /> Note that we used the OriginPro to generate all the graphs in this article.</p> <p>--</p> <p>If readers need further information, please feel free to contact: t.jun@imperial.ac.uk or terryjun83@gmail.com (Tea-Sung (Terry) Jun)</p>

opencc-zeroOct 2015View details →
zenodo36/100

Nanoindentation and AFM Dataset for the Microscale Mechanical Property of Granites

<p>This dataset contains the raw results of nanoindentation testing and Atomic Force Microscopy (AFM) testing, which were used to determine the elastic property of rock-forming minerals and interphases in granites. The dataset is presented and utilized in the paper &#39;Determining Young&#39;s Modulus of Arbitrarily-shaped Granite Samples using Accurate Grain-based Modelling with Micro-RME&#39;. Full details of the experimental setup, procedure, and imaging analysis can be found in the paper and supporting information.</p> <p>The results of nanoindentation testing for different rock-forming minerals in granites are contained within three files: nanoindentation_quartz, nanoindentation_feldspar and nanoindentation_biotite. In these files, the raw data&nbsp;during nanoindentation testing is shown with achieved parameters, including elastic modulus, hardness, maximum load fore, maximum contact area, and contact depth. These results are then used to determine the elastic modulus of rock-forming minerals. The achieved Young&#39;s modulus for quartz, feldspar and biotite are 96.81 GPa, 69.50 GPa and 46.41 GPa, respectively, for present granitic samples.</p> <p>The results of AFM testing for interphases between different rock-forming minerals in granites are contained within three files: AFM_quartz_feldspar_interphase, AFM_feldspar_biotite_interphase and AFM_quartz_biotite_interphase. In these files, the raw data of 196,608 indents during AFM testing is shown with obtained parameters, including elastic modulus and surface roughness. These results are then used to determine the geometry and elastic modulus of interphases. The achieved Young&rsquo;s modulus of interphase is 24.48 GPa for present granitic samples. Additionally, the geometry of striped interphases between different rock-forming minerals is shown, which is complex with varying widths.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Nanoindentation Dataset for the Microscale Mechanical Property of Granites

<p>This dataset contains the raw results of nanoindentation testing, which are used to determine the elastic and failure property of rock-forming minerals in granites, which then provides the input parameters for&nbsp;accurate grain-based modeling. The dataset is presented and utilized in the paper &#39;Thermally induced microcracks in granite and their effect on the macroscale mechanical behavior&#39;. Full details of the experimental setup, procedure, and imaging analysis are able to be found in this paper.</p> <p>The results of nanoindentation testing of different rock-forming minerals&nbsp;by different indents are contained within six files: Berkovich_quartz, Berkovich_feldspar, Berkovich_biotite, Cube corner_quartz, Cube corner_feldspar and&nbsp;Cube corner_biotite. In these files, the raw data of nanoindentation testing includes elastic modulus, hardness, maximum load fore, maximum contact area, and contact depth. These results are then applied&nbsp;to calculate the &nbsp;elastic and failure properties of rock-forming minerals.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Data for "A nanoindentation study of attenuation in geological materials" - quartz, halite, olivine and PMMA

<p>Dataset for forced oscillations experiments with the nanoindenter for halite, pmma, olivine and quartz. The files are *.pkl format (pickle) and can be accessed with the "pickle" library in python. The name of each file contains: the name of the tested material, the oscillation period in seconds, the test number (multiple tests for each period). The oscillation amplitude is 10% of the test's load "P", unless stated otherwise - for example: A20 means that the amplitude is 20% of the load in that test.&nbsp;</p> <p>Each file contains the following columns: experiment time (in seconds), load (in mN), displacement of the indenter tip (in nm) and may or may not contain the indentation hardness H (in GPa) from the continuous stiffness measurement method - wich is not required for the calculation of attenuation.</p> <p>For any questions please contact Nir Badt.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Nanoindentation of embedded particles - dataset

<p>Dataset corresponding to</p> <p>Slagter, A., Everaerts, J. &amp; Mortensen, A. Nanoindentation of embedded particles. <em>Journal of Materials Research</em> (2023). https://doi.org/10.1557/s43578-023-00920-2</p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

Quartz and calcite slide-hold-slide data from dual-axis nanoindenter

<p>Data from slide-hold-slide experiments performed by a dual-axis nanoindenter (with a diamond Berkovich-type tip) on single crystals of quartz and calcite. The data is in Python&#39;s pickle format (&quot;*.pkl&quot;) and can be accessed with the pickle library.&nbsp;</p>

opencc-by-4.0Jul 2023View details →
dryad36/100

Data from: Nanoindentation methods for viscoelastic characterization of stiff porous materials

Open the record for dataset details and reuse information.

publicJul 2024View details →
zenodo32/100

Self-ion irradiation effects on nanoindentation-induced plasticity of crystalline iron: A joint experimental and computational study

<p>Set consists two folders named after the methods used to obtained the data i.e. Nanoindentation, EBSD.</p> <p><strong>&rarr; EBSD</strong></p> <p>In EBSD folder there are 3 original image files that make up Figure 1 and Figure 3a and 3b in the paper. Below please find the description:</p> <p><em>Fig. 1</em><em>.&nbsp;EBSD IPF Z image of the pristine Fe sample.</em></p> <p><em>Fig. 3</em><em>.&nbsp;(a) EBSD map of the indentation array made within one grain with [101] orientation, (b) GND density of map of the indentation array</em></p> <p><strong>&rarr; Nanoindentation</strong></p> <p>In Nanoindentation folder there are two folders dedicated to two different materials (pristine and ion irradiated). The name of .txt files is as follows:</p> <p>Pure_Fe_300C_5MeV_1,5mN_100x1-107131929</p> <p>where:</p> <p>Pure_Fe_300C_5MeV&nbsp; -&gt; Name of the sample,</p> <p>1,5mN -&gt; Load</p> <p>100 -&gt; Number of repetitions</p> <p>x1 -&gt; Number of LD curves</p> <p>&nbsp;</p>

openodc-odblMay 2023View details →
zenodo32/100

Nanoindentation

<p>SmartFan Project public data</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Nanoindentation data set: Calibration and data analysis routines for nanoindentation with spherical tips

<p>These data comprise of nanoindentation experiements, which are described and analysed in the manuscript: <em>Calibration and data analysis routines for nanoidentation with spherical&nbsp;tips.</em></p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
dryad28/100

Data from: Nanoindentation analysis of the micromechanical anisotropy in mouse cortical bone

Studies investigating micromechanical properties in mouse cortical bone often solely focus on the mechanical behaviour along the long axis of the bone. Therefore, data on the anisotropy of mouse cortical bone is scarce. The aim of this study is the first-time evaluation of the anisotropy ratio between the longitudinal and transverse directions of reduced modulus and hardness in mouse femurs by using the nanoindentation technique. For this purpose, nine 22-week-old mice (C57BL/6) were sacrificed and all femurs extracted. A total of 648 indentations were performed with a Berkovich tip in the proximal (P), central (C) and distal (D) regions of the femoral shaft in the longitudinal and transverse directions. Higher values for reduced modulus are obtained for indentations in the longitudinal direction, with anisotropy ratios of 1.72 ± 0.40 (P), 1.75 ± 0.69 (C) and 1.34 ± 0.30 (D). Hardness is also higher in the longitudinal direction, with anisotropic ratios of 1.35 ± 0.27 (P), 1.35 ± 0.47 (C) and 1.17 ± 0.19 (D). We observed a significant anisotropy in the micromechanical properties of the mouse femur, but the correlation for reduced modulus and hardness between the two directions is low (r2 &lt; 0.3) and not significant. Therefore, we highly recommend performing independent indentation testing in both the longitudinal and transverse directions when knowledge of the tissue mechanical behaviour along multiple directions is required.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Nanoindentation creep of synthesized calcium-(alumino)-silicate-hydrate

Open the record for dataset details and reuse information.

publicDec 2025View details →
dryad28/100

Data from: Nanoindentation analysis of the micromechanical anisotropy in mouse cortical bone

Open the record for dataset details and reuse information.

publicJan 2017View details →
zenodo24/100

Data for "A nanoindentation study of attenuation in geological materials" - Indium

<p>Files of the forced oscillation experiments with the nanoindenter on indium. These are similar to the files in the dataset in the repository:</p> <p>Badt, N. (2024). Data for "A nanoindentation study of attenuation in geological materials" - quartz, halite, olivine and PMMA (Version v1) [Data set]. Zenodo.&nbsp;<a href="https://doi.org/10.5281/zenodo.11642818" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.11642818</a></p> <p>&nbsp;</p> <p>The indium data include low load experiment, who have a P2 (indicating load = 2 mN) in the file name, and high load experiments, who don't have any indication of the load in the file name.</p>

opencc-by-4.0Jun 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record