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1,179 results for “Probe”

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zenodo36/100

Use of A Molecular Switch Probe to Activate or Inhibit GIRK1 Heteromers In Silico Reveals a Novel Gating Mechanism

<p>GIRK channel structure models (PDB structure files) used for Molecular Dynamics simulations.</p>

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

Granular piston-probing in microgravity: powder compression, from densification to jamming

<p>The datasets represents all data used in the article &quot;Granular piston-probing in microgravity: powder compression, from densification to jamming&quot;, by Olfa D&#39;Angelo, Anabelle Horb, Aidan Cowley, Matthias Sperl, and W. Till Kranz, published in npj Microgravity (2022).</p>

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

Molecular dynamics simulations with grand-canonical reweighting suggest cooperativity effects in RNA structure probing experiments

<p>Molecular dynamics simulations of an RNA GAAA tetraloop interacting with SHAPE reagent 1-Methyl-7-nitroisatoic anhydride (1m7) in different numer of copies (1 to 19). See also https://arxiv.org/abs/2209.12640 and https://github.com/bussilab/paper-shapemd.</p>

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

Dataset related to the publication "New Technique for Probing the Protecting Character of the Solid Electrolyte Interphase as a Critical but Elusive Property for Pursuing Long Cycle Life Lithium-Ion Batteries"

<p>The formation of a protecting nano-layer, so-called Solid Electrolyte Interphase (SEI), on the negative electrode of Li-ion batteries (LIBs) from product precipitation of the cathodic decomposition of the electrolyte is a blessing since the electrically-insulating nature of this nano-layer protect the electrode surface preventing continuous electrolyte decomposition and enabling the large nominal cell voltage of LIBs, e.g. 3.3 &ndash; 3.8 V. Thus, the protecting performance of the nano-layer SEI is essential for LIBs to achieve long cycle life. Unfortunately, evaluation of this critical property of the SEI is not trivial. Herein, a new, cheap and easily-implementable methodology is presented to estimate the protecting quality of the SEI; the redox-mediated enhanced coulometry. The key element of the methodology is the addition of a redox-mediator in the electrolyte during degassing step (after the SEI formation cycle). The redox-mediator leads to an internal self-discharge process that is inversely proportional to the protecting character of the SEI. And the self-discharge process results in an easily-measurable decrease in coulombic efficiency. The influence of vinylene carbonate as electrolyte additive in the resulting SEI is used as case study to showcase the potential of the proposed methodology</p>

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

Glass electrode and silicon probe recordings from THY-Tau22 mice

<p>This repository contains code used to analyse electrophysiological data obtained from THY-Tau22 mice. Example datasets are included.</p>

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

Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy

<p>The files contain all the data that are shown in the figures of the main text and of the supporting information of the article:</p> <p>Beckwith, J.; Lang, B.; Grilj, J.; Vauthey, E. Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy. J. Phys. Chem. Lett. 10 (2019), 10.1021/acs.jpclett.9b01431</p>

opencc-by-4.0Apr 2019View details →
zenodo36/100

MASE cabin and cloud probe data

<p>All data necessary to reproduce observed cloud top flight mean effective radius from the PDI, CAS, CIP and PVM cloud probes aboard the CIRPAS Twin Otter during the MASE campaign are contained herein. The script compile_all_reff.m (for Matlab/Octave) can be used to reproduce the data and understand the format of each probe data file; make sure to change file paths accordingly. PDI and PVM effective radius are available from the "&lt;date&gt;_Ps.mat" files as the variables "s_reff" and "s_reff_xg," respectively. CAS+CIP effective radius is reconstructed from time series of binned drop concentration from each instrument (corresponding to file names "Cas_TO_&lt;date&gt;02.dat" and "cip_conc_&lt;date&gt;.csv") and is output as "reff_caps" from compile_all_reff.m. </p> <p>Geometric mean diameter grids for each probe are contained in the files "dp_&lt;inst&gt;.mat" and cloud top leg times are in the file "reff_datestimes.mat" (time in UTC; columns 2 and 3 are leg start and end time, respectively; note: leg times are included for MASE, POST and VOCALS, not just MASE) and the file "reff_proj.mat" identifies the field campaign associated with each entry in "reff_datestimes." </p> <p>POST and VOCALS datasets may be obtained freely from data.eol.ucar.edu to reconstruct all observed effective radii used in Witte et al. "MODIS retrievals of cloud effective radius in marine stratocumulus exhibit no significant bias," submitted to GRL October 2017.</p>

opencc-by-4.0Dec 2016View details →
zenodo36/100

Time-resolved pump-probe ellipsometry of the photoinduced insulator-metal transition in 25 nm VO2 thin films

<h3>Data available</h3> <p>Transient pseudo dielectric function and ellipsometric parameters (\Psi and \Delta) measured with a time-resolved pump-probe ellipsometry on a 25 nm VO2 film deposited on SiO2.</p> <p>The data of the transient pseudo dielectric function and ellipsometric parameters (\Psi and \Delta) are provided for different pump wavelengths and pump fluences.</p> <ul> <li>\lambda_{pump} = 400 nm - F_{pump} = 3.058 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 3.823 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 5.352 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 6.117 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 7.646 mJ/cm2</li> </ul> <ul> <li>\lambda_{pump} = 800 nm - F_{pump} = 1.536 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 1.919 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 2.109 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 2.654 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 2.793 mJ/cm2</li> </ul> <h3>Naming of the files</h3> <p>In the .zip file that can be downloaded here, there are several folders.</p> <p>Each are named as lambda_pump_XXX_nm_fluence_YYY_mJcm-2 where XXX is either 400 or 800 and YYY is the fluence value.</p> <p>In each folder are four files.</p> <ul> <li>diffdelta.txt - values of the transient ellipsometric parameter \Delta.</li> <li>diffpsi.txt- values of the transient ellipsometric parameter \Delta.</li> <li>diffpseudoepsilon1.txt- values of the real part of the transient pseudo dielectric function.</li> <li>diffpseudoepsilon2.txt- values of the real part of the transient pseudo dielectric function.</li> </ul> <h3>Structure of the files</h3> <p>Each file has the same structure:</p> <p>The first row an array time delays in picosecond for which measurements have been performed.</p> <p>In the rest of rows, the first element of the array are the photon energy, while the rest of the elements are the values of the transient dielectric function or ellipsometric parameters (\Psi and \Delta) at&nbsp;each of the elements in the time delay array.</p> <p>Example:</p> <p>time delay&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; t1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; t2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; t3</p> <p>E1(eV)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Delta(E1, t1) &nbsp; &nbsp; &nbsp;&nbsp; Delta(E1, t2) &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; Delta(E1, t3)</p> <p>E2(eV)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Delta(E2, t1) &nbsp; &nbsp; &nbsp; Delta(E2, t2) &nbsp; &nbsp; &nbsp; &nbsp; Delta(E2, t3)</p> <p>E3(eV)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Delta(E3, t1) &nbsp; &nbsp; &nbsp; Delta(E3, t2) &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; Delta(E3, t3)</p>

opencc-by-4.0May 2024View details →
dryad36/100

Data from: Three-dimensional infrared scanning: An enhanced approach for spatial registration of probes for neuroimaging

<p>Significance: Accurate spatial registration of probes (e.g., optodes and electrodes) for measurement of brain activity is a crucial aspect in many neuroimaging modalities. It may increase measurement precision and enable the transition from channel-based calculations to volumetric representations.</p> <p>Aim: This technical note evaluates the efficacy of a commercially available infrared three-dimensional (3D) scanner under actual experimental (or clinical) conditions and provides guidelines for its use.</p> <p>Method: We registered probe positions using an infrared 3D scanner and validated them against magnetic resonance imaging (MRI) scans on five volunteer participants.</p> <p>Results: Our analysis showed that with standard cap fixation, the average Euclidean distance of probe position among subjects could reach up to 43 mm, with an average distance of 15.25 mm [standard deviation (SD) = 8.0]. By contrast, the average distance between the infrared 3D scanner and the MRI-acquired positions was 5.69 mm (SD = 1.73), while the average difference between consecutive infrared 3D scans was 3.43 mm (SD = 1.62). The inter-optode distance, which was fixed at 30 mm, was measured as 29.28 mm (SD = 1.12) on the MRI and 29.43 mm (SD = 1.96) on infrared 3D scans. Our results demonstrate the high accuracy and reproducibility of the proposed spatial registration method, making it suitable for both functional near-infrared spectroscopy and electroencephalogram studies.</p> <p>Conclusions: The 3D infrared scanning technique for spatial registration of probes provides economic efficiency, simplicity, practicality, repeatability, and high accuracy, with potential benefits for a range of neuroimaging applications. We provide practical guidance on anonymization, labeling, and post-processing of acquired scans.</p>

opencc-zeroMay 2024View details →
zenodo36/100

Data for "Probe molecular diffusivity in single ternary inorganic-organic microdroplets via interfacial ozonolysis of thiosulfate"

<p>ExpXX_YTZS/G.xlsx: Integrated Raman intensity time profiles of thiosulfate for Expt. XX</p> <p>Raman_spectra_ExpXX.xlsx: Raman spectra before and after thiosulfate depletion via O3 for Expt. XX</p>

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

Probing conversion-driven freeze-out at the LHC - Code and Data

<p>The file LLP-CDFO-main.zip contains all the code and processed data for reproducing the results in the &nbsp;<a href="https://arxiv.org/abs/2404.16086">Probing conversion-driven freeze-out at the LHC</a>&nbsp;paper.</p> <p>The raw data is provided as a separate tarball.</p> <p>Additional instructions can be found in the README file contained in LLP-CDFO.zip or in the <a href="https://github.com/andlessa/LLP-CDFO">GitHub repository</a>.</p> <p>&nbsp;</p>

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

Effective temperatures of cataclysmic-variable white dwarfs as a probe of their evolution

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.466.2855P">Effective temperatures of cataclysmic-variable white dwarfs as a probe of their evolution</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Pharmacokinetic data for CYP3A4 probe substrates in healthy Humans.

<p>This dataset contains all extracted informations used in the article &quot;Inter-ethnic differences in CYP3A4 metabolism: A Bayesian meta-analysis for the refinement of uncertainty factors in chemical risk assessment&quot; (<a href="https://doi.org/10.1016/j.comtox.2019.100092">https://doi.org/10.1016/j.comtox.2019.100092</a>).</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

99 Probes

<p>This dataset contains surface currents on cylindrical Langmuir probes from PIC simulations as described in the paper &quot;Finite-Length Effects on Cylindrical Langmuir Probes&quot; by Marholm and Marchand.</p> <p>Each folder contains the surface currents for one simulation in a standard VTK file, and the folder name encodes the simulation parameters, for instance,</p> <p>&nbsp;&nbsp;&nbsp; 35n_0.08eV_50eta_80mm</p> <p>corresponds to a density of 35e10 m^(-3), a temperature of 0.08 eV, a normalized voltage eta of 50 (which is 4 V), and a probe length of 80 mm.</p> <p>In a addition, the file coefficients.csv contains fitting coefficients to the expression in the above-mentioned paper for all simulations, in a standard comma-separated plain text format.</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques

<p>This repository contains supplementary data to the simulations in our paper</p> <p>&quot;3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques&quot;</p> <p><strong>APTTipCarvingExecutable.tar.gz</strong><br> Contains the production state of the tip synthesis tool source code and compilation</p> <p><strong>TAPSimExecutable.tar.gz</strong><br> Contains the production state of the TAPSim simulation tool source code and compilation</p> <p><strong>scripts.zip</strong><br> Contains tiny shell scripts we used to execute the simulations</p> <p><strong>Two production simulations were performed.</strong><br> Both use the same tip bicrystal geometry but different orientations:<br> <strong>SimID.31054 is the one we discuss in the paper, it has the experimentally measured orientations</strong><br> SimID.31053 is an exemplary simulation with two different crystal orientations</p> <p><strong>For both SimID results five TAR archives exist:</strong><br> TAPSimDetectorHits* contains the main result, the simulated detector hit positionsBiCarving*<br> TAPSimTrajectories* contains all ion trajectories<br> TAPSimInput* contains supplementary results of the TAPSim field evaporation simulation<br> BiCarving* contains the settings and results of the synthesis, the XML file inside the archive details the orientations<br> Meshgen* contains the results of the meshing process prior to the TAPSim simulation</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

Probing result for robotic assisted machining form error paper

<p>This is the probing result during our maching trials for form error prediction for robotic assisted machining.</p>

opencc-by-4.0Aug 2019View details →
zenodo36/100

Li1.8Na0.2TiO3:Mn4+: the highly sensitive probe for the low-temperature lifetime-based luminescence thermometry

<p>Dataset accompanying figures published in the publication&nbsp;<a href="https://zenodo.org/record/3552659">https://zenodo.org/record/3552659</a>.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

Probing Dataset

<p>Dataset of Probing Attacks (Port Scan) performed with nmap, unicornscan, hping3, zmap and masscan</p>

openother-openNov 2019View details →
zenodo36/100

Lipid-polymer nanoparticles to probe the native-like environment of intra-membrane rhomboid protease GlpG and its activity

<p><span>Polymers can facilitate detergent-free extraction of membrane proteins into nanodiscs (e.g., SMALPs, DIBMALPs), incorporating both integral membrane proteins as well as co-extracted native membrane lipids. Lipid-only SMALPs and DIBMALPs have been shown to possess a unique property; the ability to exchange lipids through &lsquo;collisional lipid mixing&rsquo;<em>.</em> Here we expand upon this mixing to include protein-containing DIBMALPs, using the rhomboid protease GlpG. Through lipidomic analysis before and after incubation with DMPC or POPC DIBMALPs, we show that lipids are rapidly exchanged between protein and lipid-only DIBMALPs, and can be used to identify bound or associated lipids through &lsquo;washing-in&rsquo; exogenous lipids. Additionally, through the requirement of rhomboid proteases to cleave intra-membrane substrates, we show that this mixing can be performed for two protein-containing DIBMALP populations, assessing the native function of intramembrane proteolysis and demonstrating that this mixing has no deleterious effects on protein stability or structure</span></p>

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

Dataset supplementing journal article "Design of an FPGA-Based Controller for Fast Scanning Probe Microscopy" in Sensors 2024

<p>Dataset supplementing journal article "Design of an FPGA-Based Controller for Fast Scanning Probe Microscopy" in Sensors 2024.</p> <p>Fast imaging measurements showed in Figure 9 of the article:&nbsp;</p> <p>9a: Fast STM of a static Pt5 cluster on a Fe3O4(001) magnetite surface, taken at room temperature in a UHV chamber with an Omicron VT-AFM microscope at 4 frames/s; pixel resolution 100x100 pixels; image size 8x8 nm2.</p> <p>9b: Fast STM of a Pd-octaethylporphyrin monolayer on a Au(111) surface under electrolyte (phosphate buffer, pH= 7, Ar-saturated), taken with a Beetle-type EC-STM at 12 frames/s (EWE = +0.65 vs RHE, Ub = +0.4 V vs WE); pixel resolution 120x120 pixels; image size 8x8 nm2.</p> <p>9c: Fast AFM images of a Mikromasch TGX1 test grating with a 3 &mu;m pitch and a 130 nm height, taken in contact mode with an Asylum Research/Oxford Instruments MFP-3D microscope&nbsp;(Mikromasch NSC36 probe - 0.6 N/m cantilever) at 4 frames/s; pixel resolution 100x100 pixels.</p>

opencc-by-4.0Sep 2024View details →

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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