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Dataset results
14 results for “scanning probe”
Replication Data for: "Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging
<p>Data repository for: <strong>Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging</strong></p> <ul> <li><em>DataDescription.pdf</em><strong><em>: </em></strong>describes the uploaded data</li> <li><em>Data (folder): </em>folder containing <em>data.xlsx</em>, which summarizes all the data plotted in the paper as well as additional imaging and simulation data sets</li> <li><em>Code (folder): </em> contains Matlab code for converting and plotting certain data sets</li> </ul>
Data and code for figures: Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications
<p>This directory contains the datasets, code (if applicable) for measurement libraries, data processing and figure generation for the research article "Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications", Beilstein J. Nanotechnol. 2024, 15, 242-255.</p>
Dataset for Fast Li-ion Storage and Dynamics in TiO2 Nanoparticle Clusters Probed by Smart Scanning Electrochemical Cell Microscopy
<p>This dataset provides the raw data to the manuscript </p> <p><strong>"Fast Li-ion Storage and Dynamics in TiO<sub>2</sub> Nanoparticle Clusters Probed by Smart Scanning Electrochemical Cell Microscopy"</strong> published in Angewandte Chemie International Edition.</p> <p>Specifically, the following measurements are provided:</p> <ul> <li>Powder XRD data for the commercial anatase TiO<sub>2</sub>.</li> <li>Cyclic voltammetry data from SECCM measurements.</li> <li>SEM images of the TiO<sub>2</sub> nanoparticles after SECCM tip landing and electrochemical measurement.</li> </ul>
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>
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: </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 μm pitch and a 130 nm height, taken in contact mode with an Asylum Research/Oxford Instruments MFP-3D microscope (Mikromasch NSC36 probe - 0.6 N/m cantilever) at 4 frames/s; pixel resolution 100x100 pixels.</p>
Data from: A look inside a flexible open-source scanning electrochemical probe microscope
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Data from: Three-dimensional infrared scanning: An enhanced approach for spatial registration of probes for neuroimaging
Open the record for dataset details and reuse information.
Datasets for the paper "Advancing Scanning Probe Microscopy Simulations: A Decade of Development in Probe-Particle Models"
<p>Input data for probe-particle (PP) atomic force microscopy (AFM), scanning tunnelling microscopy (STM), and Kelvin probe microscopy (KPFM) simulations in the paper "Advancing Scanning Probe Microscopy Simulations: A Decade of Development in Probe-Particle Models".</p> <p>Included files:</p> <ul> <li>CO_tip_densities.tar.gz: the total and delta electron densities for a CO tip.</li> <li>hartree-density.tar.gz: the hartree potential (LOCPOT.xsf), electron density (CHGCAR.xsf), and xyz geometry with point charges (mol.xyz) for 6 example molecules: C60 fullerene, formic acid dimer (FAD), 4-(4-(2,3,4,5,6- pentafluorophenylethynyl)-2,3,5,6- tetrafluorophenylethynyl) phenylethynylbenzene (FFPB), pentacene, phtalocyanine, perylene carboxylic anhydride (PTCDA).</li> <li>dft-afm.tar.gz: DFT-calculated forces for the CO-tip for all of the example molecules. Saved as numpy npz files that containt the force arrays under the key 'force' and the physical extent of the region in Ångströms under the key 'scan_window'.</li> <li>Fig_4_STM_data.tar.gz: Hartree potential (cube_001_hartree_potential.cube) and eigenvectors (KS_eigenvectors.band_1.kpt_1.out) of PTCDA for PPSTM simulations.</li> <li>KPFM_Hartree.tar.gz: Hartree potentials of FFPB with a bias voltage for KPFM simulations.</li> </ul> <p>Reproducing the figures in the manuscript:</p> <ul> <li>Fig. 2 (comparison of force-field models): Install ppafm with the [opencl] option, and run the example script in the ppafm repository at examples/paper_figure/run_simulation.py. The image is saved into the same folder with the script.</li> <li>Fig. 3 (KPFM LCPD map): Install ppafm, navigate to examples/FFPB_KPFM, and run the script ./run.sh. After running the script, the LCPD map of Fig. 3(a) can be found in LCPD_atoms_cbar_018.png and the AFM map of Fig. 3(b) in Q-0.10K0.25V0.00/Amp0.50/df_atoms_cbar_018.png.</li> <li>Fig. 4 (STM dI/dV map): Download and compile the PPSTM code (<a href="https://github.com/Probe-Particle/PPSTM">https://github.com/Probe-Particle/PPSTM</a>). After that navigate to tests/PTCDA_mol and use the run_all.sh script.</li> <li>Fig. 5 (IETS): Install ppafm, navigate to examples/FePc_Au-IETS, and run the script run_ppafm-iets.sh. The IETS image can be found in the Q0.00K0.24 folder.</li> </ul> <p>The ppafm version 0.3.1, and PPSTM version 1.0.2 (<a href="https://doi.org/10.5281/zenodo.10669867" rel="nofollow">https://doi.org/10.5281/zenodo.10669867</a>) was used when producing the images for the manuscript.</p>
Replication Data for: (111)-oriented, single crystal diamond tips for nanoscale scanning probe imaging of out-of-plane magnetic fields
<p>Data repository for: <strong>(111)-oriented, single crystal diamond tips for nanoscale scanning probe imaging of out-of-plane magnetic fields</strong></p> <p><em>Data description.pdf </em>describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.</p>
Original data for "A robust, fiber-coupled scanning probe magnetometer using electron spins at the tip of a diamond nanobeam"
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Autonomous Scanning Probe Microscopy Investigations over WS2 and Au{111}
<p>Dataset for associated publication.</p> <p>Abstract:</p> <p>Point defect identification in two-dimensional materials enables an understanding of the local environment within a given system, where scanning probe microscopy that takes advantage of hyperspectral tunneling bias spectroscopy acquisition can both map and identify the atomic and electronic landscape. Here, dense spectroscopic volume is collected autonomously via Gaussian process regression, where convolutional neural networks are used in tandem for defect identification. Acquired data enable image segmentation across defect modes, and a workflow is provided for both machine-driven decision making during experimentation and the capability for user customization. Where scanning tunneling microscopy and spectroscopy can be nontrivial and time intensive, we provide a means towards autonomous experimentation for the benefit of both enhanced reproducibility and user-accessibility. Monolayer semiconductor is explored on tungsten disulfide sulfur vacancies to provide two-dimensional hyperspectral insight into available sulfur-substitution sites within a transition metal dichalcogenide (TMD), which is combined with spectral confirmation on the Au{111} herringbone reconstruction for both tip state verification and local fingerprinting. Overall, chalcogen vacancies, pristine TMD, Au face-centered cubic, and Au hexagonal close packed regions are examined and detected by machine learning methods.</p>
Evaluating Acupuncture Points With Scanning Kelvin Probe
ClinicalTrials.gov study NCT01545960. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Understanding the Physiological Implications of Scanning Kelvin Probe Measurements
ClinicalTrials.gov study NCT01545973. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Automated Dating Scan Probe Pressure Data Collection Plan
ClinicalTrials.gov study NCT05963243. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.