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Dataset results
218 results for “electron imaging”
Correlative Raman Imaging and Scanning Electron Microscopy: The Role of Single Ga Islands in Surface-Enhanced Raman Spectroscopy of Graphene_experimental dataset
<p>This dataset contains the raw unprocessed data for Piastek et al., Correlative Raman Imaging and Scanning Electron Microscopy: The Role of Single Ga Islands in Surface-Enhanced Raman Spectroscopy of Graphene, <em>J. Phys. Chem. C</em> 2022, 126, 9, 4508–4514. </p>
Data from: Non-Adiabatic Acceleration of Injected Electrons in the Inner Magnetosphere: Joint Observations by the Van Allen Probe and the BeiDa Imaging Electron Spectrometer
<p>The dataset is associated with the study entitled "Non-adiabatic acceleration of injected electrons in the inner magnetosphere: Joint observations by the Van Allen Probe and the BeiDa Imaging Electron Spectrometer"</p> <p>The file includes directional electron flux data obtained by the BeiDa Imaging Electron Spectrometer and follows NASA's Common Data Format (CDF).</p>
Soot particle images obtained by Environmental Transmission Electron Microscopy
<p>Transmission electron microscopy images used to generate frame sequences and calculate particle convexities, along with the associated script. The fractal soot particles were produced by combustion, lightly coated by sulfuric acid, deposited on SiN substrate, and then their response to humidification and drying was studied in a controlled microenvironment of a closed cell, using environmental transmission electron microscopy. </p>
Scanning electron microscopy (SEM) images of single bacterial-Pb tolerant isolates
<p><strong>In-Vitro Trace Element Uptake by Bacteria in Liquid Cultures-Scanning Electron Microscopy </strong><strong>(SEM-EDX) Analysis</strong><br>Batch studies were conducted using 50 mL Falcon tubes that contained 25 mL GY rich medium supplemented with 100 mg L-1 of Pb (Pb(NO3)2). All tubes were inoculated with 1 mL of a bacterial cell suspension (optical density at 600 nm = 1), which was previously grown in GY medium at 28 °C for 24 h. Samples were incubated at 28 °C and 100 rpm on an orbital shaker.<br>In order to estimate Pb sequestration by bacterial cells, cultures were first centrifuged 15 min at 4800 rpm, bacterial pellets were washed 3 times with 0.01 M phosphate-buffer (PBS, pH 7.0) to remove unbound metals, sugars and proteins. The samples were dehydrated with ethanol/water mixtures, until absolute ethanol. Then 100% acetone was used. Pellets were resuspended in 2% glutaraldehyde for 1h at room temperature. Afterwards, bacterial samples were centrifuged for 3 min at 3000 rpm and pellets were washed 3 times with milli-Q water. One uL of sample was placed on a sample holder, in carbon conductive tape. Then, samples were coated 30 s with a 15 nm gold layer and analysed using a Scanning Electron Microscope (<span>Phenom™ ProX Desktop, Thermofisher</span>). Images were taken using an accelerating voltage of 15 kV.</p> <p><em>Bacillus paramycoides</em> ST4, <em>Bacillus wiedmannii</em> ST29 and <em>Bacillus proteolyticus </em>ST9 <span>images obtained by SEM-EDX are presented in this dataset. Pb was found present in/on the bacterial cell wall of these bacteria cultures and detected by EDX spectra. </span></p>
Scanning electron microscopy (SEM) images of particulate matter collected on air filters
<p>Airborne PM sampling was conducted within a larger study on the PM composition of different areas in Santa Rosa, La Pampa, Argentina by Prof. Dr. Mendez Mariano. Airborne PM10 samples were collected on commercial 47mm diameter PTFE membrane filters (Image 1-blank) and Nylon filters (Image 2-blank). The PM10 was collected using an electrostatic precipitator coupled with the Easy Dust Generator (EDG). Filters were analysed using a Scanning Electron Microscope (Phenom™ ProX Desktop, Thermofisher). Images were taken using an accelerating voltage of 15 kV. SEM-EDX results are presented in this dataset.</p>
Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites
<p>Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites to determine the MWCNT length distribution. Two sample series of TEM images are included. One based on PC type Makrolon® 2600 and one based on PC type Lexan 141R. The TEM images were taken by Mrs Manuela Heber and the measurement of the MWCNT lengths was carried out by Mrs Manuela Heber and <a href="https://www.ipfdd.de/en/organization/organization-chart/personal-homepages/dr-beate-krause/">Mrs. Dr. Beate Krause</a> (both members of Leibniz-Institut für Polymerforschung Dresden e.V. (<a href="https://www.ipfdd.de/en/home/">IPF</a>)).</p> <p><br>The results of these measurements are presented in the following publication: </p> <p>Petra Pötschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar,<sup> </sup>Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites, <strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p>
Dataset for "Effective super-resolution method for paired electron microscopic images"
<p>This is the image set used in the paper, Qian, Xu, Drummy, and Ding, 2020, “Effective super-resolution method for paired electron microscopic images,” <em>IEEE Transactions on Image Processing</em>, Vol. 29, pp. 7317–7330.</p>
Raw, unprocessed SEM data images for: Figure 1: Scanning electron microscope images of "type-1 bone collagen" demineralized bone matrix fibrils
<p>Raw, unprocessed SEM data images for Figure 1 of the manuscript: Scanning electron microscope images of "type-1 bone collagen" demineralized bone matrix fibrils. (A) Fibrils from the <em>B</em>. <em>taurus</em> extant long bone control. Prominent banding (~67nm) is present that is characteristic of type-1 collagen protein fibrils (Boatman et al., 2019; Gottardi et al., 2016; Lin et al., 1993; Rabotyagova et al., 2008; Tzaphlidou, 2005). (B) Permafrost YG 610.2397 <em>M</em>. <em>primigenius</em> demineralized bone matrix fibrils. An ~67nm banding pattern on the fibrils is also observed but is somewhat less distinct in comparison to that of the extant <em>B</em>. <em>taurus</em> specimen. (C) Observed fibril structures in the temperate MOR 91.72 <em>M</em>. <em>columbi</em> specimen. Fibril banding is generally absent, suggesting the original chemical state of the type-1 collagen fibrils/sequences is substantially altered.</p>
Hyperspectral imaging of exciton confinement within a moiré unit cell with a subnanometer electron probe
<p>Data and processing notebooks for article titled "Hyperspectral imaging of exciton confinement within a moiré unit cell with a subnanometer electron probe" published in Science in Decembner 2022.</p> <p>The `ADF Image.dm4` is the simultaneously acquired annular dark field (ADF-) scanning transmission electron microscopy (STEM) image. This was used to determine the structural reconstruction of the WSe2 / WS2 heterostructure.</p> <p>The `EELS Spectrum Image.dm4` is a spectrum image (one spectra per probe position). This was used to determine the extent of the localization of the exciton peak I.</p> <p>The two `ipynb` jupyter notebooks were used to do the analysis shown in the paper. The output is embedded in the notebooks. Also, each notebook was run and then exported as a static HTML file to retain the code and output together in a generally readable format.</p> <p>Contact Peter Ercius (percius@lbl.gov) regarding the code or data.</p>
Electron backscatter diffraction data and backscatter electron images from four conditions from a cold-rolled and annealed Al-Mn alloy
<p>Raw electron backscatter diffraction (EBSD) datasets and backscatter electron (BSE) images acquired from four conditions from a cold-rolled and non-isothermally annealed Al-Mn alloy: as deformed, 175 C, 300 C and 325 C. The heating rate is 50 C/h. The material is recovered after 300 C and partly recrystallized after 325 C.</p> <p>The data forms part of the supplementary material to the paper "Orientation dependent pinning of (sub)grains by dispersoids during recovery and recrystallization in an Al-Mn alloy" (2023) published in Acta Materialia (https://doi.org/10.1016/j.actamat.2023.118761).</p> <p>The data was acquired in order to study the effect of particles on recovery and recrystallization in the Al-Mn alloy. The particles detected in the BSE images were inserted in the EBSD map after the EBSD map had been corrected for distortions by image registration using the BSE images.</p> <p>See the <em>GitHub</em> repository https://github.com/hakonanes/p-texture-al-mn-alloys for <em>Jupyter</em> notebooks and <em>MTEX</em> (<em>MATLAB</em>) and <em>ImageJ</em> scripts used to process and analyze the data.</p> <p>See the <em>README.txt </em>file for a description of the file contents.</p>
SEM imaging data used in "Investigation of the porosity of L/LL4 ordinary chondrite Bjurböle using synchrotron radiation microtomography and scanning electron microscopy: Implications for parent body evolution"
<p>SEM imaging data used in ”Investigation of the porosity of L/LL4 ordinary chondrite Bjurböle using synchrotron radiation microtomography and scanning electron microscopy: Implications for parent body evolution” contains images of a polished section of a 0.35 cm<sup>3</sup> sample of Bjurböle obtained using scanning electron microscopy (SEM) in backscattered electron mode (pixel size 0.55 µm), as well as elemental maps of some details of the sample obtained by an energy dispersive spectrometer, as zip archives. Folder SEM contains the images covering the entire polished section. Bulk porosity of the sample was determined to be 21.9 vol% using a gas pycnometer. </p>
Datesets and images of the publication "Probing crystallinity and grain structure of 2D materials and 2D-like van der Waals heterostructures by low-voltage electron diffraction" - DOI: 10.1002/pssa.202300148
<p>Datasets and images of the publication "Probing crystallinity and grain structure of 2D materials and 2D-like van der Waals heterostructures by low-voltage electron diffraction" - DOI: <a href="https://www.doi.org/10.1002/pssa.202300148">10.1002/pssa.202300148</a></p> <p>The Jupyter Notebooks for analyzing the datasets and generating all the figures are available at <a href="https://gitlab.com/JohMu/tds_hios_manuscript">https://gitlab.com/JohMu/tds_hios_manuscript</a>.</p> <p><strong>MoS<sub>2</sub> 4D-STEM dataset:</strong></p> <ul> <li>192x192 scan pixels</li> <li>200x200 camera pixels</li> <li>Acceleration voltage: 20kV</li> <li>Camera length: 10.56 mm</li> <li>Camera pixel size: 4x5.86 µm = 23.44 µm (original dataset with 4x4 binning)</li> <li>File location: Figure 2_3_S1.zip -> 230101205338_20kV_hexz0_camz-10_posi_003_good\scan_data_bin2_centered_crop-imgNx200.h5</li> <li>The original raw dataset (23 GB, 192x192 scan pixels, 800x800 camera pixels, camera pixel size: 5.86 µm), the scan reference dataset and the Jupyter Notebook for the shift-compensation is available from the author. The dataset uploaded here is binned by a factor of 4 and shift-compensated.</li> </ul> <p><strong>C60/MoS<sub>2</sub> 4D-STEM dataset:</strong></p> <ul> <li>113x113 scan pixels</li> <li>512x512 camera pixels</li> <li>Acceleration voltage: 20kV</li> <li>Camera length: 20.56 mm</li> <li>Camera pixel size: 5.86 µm</li> <li>File location: Figure 4.zip -> scan_data_scan113x113_gzip.h5</li> </ul> <p> </p>
Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography
<p>Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment completes. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one nanometer resolution in a Au-Fe<sub>3</sub>O<sub>4</sub> metamaterial, Co<sub>3</sub>O<sub>4</sub> - Mn<sub>3</sub>O<sub>4</sub> core-shell nanocrystals, and ZnS-Cu<sub>0.64</sub>S<sub>0.36</sub> nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX / EELS) signals. Now sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials.</p>
Safety of Magnetic Resonance Imaging With Patients Who Have Mixed Lead Cardiac Implantable Electronic Devices
ClinicalTrials.gov study NCT07155135. IPD Sharing: NO. Countries: 1. Publications: 12.
Data from: Combined fluorescent and electron microscopic imaging unveils the specific properties of two classes of meiotic crossovers
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Raw, unprocessed SEM data images for: Figure 1: Scanning electron microscope images of “type-1 bone collagen” demineralized bone matrix fibrils
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Transmission electron microscope images dataset for AutoDetect-mNP (triangular prisms)
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Transmission electron microscope images dataset for AutoDetect-mNP (nanorods)
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CLIC Calorimeter 3D images: Electron showers at Random Angle
<p>Energy deposits from single-particle showers in the ECAL+HCAL calorimeters of the CLIC detector</p> <p>Simulation performed with GEANT4 (https://geant4.web.cern.ch) and DD4HEP software (https://dd4hep.web.cern.ch/dd4hep/)</p> <p>Electrons entering the detector at variable energy and direction</p> <p>See https://arxiv.org/abs/1912.06794 for details</p>
Automated analysis of scanning electron microscopic images for assessment of hair surface damage
<p>Mechanical damage of hair can serve as an indicator of health status and its assessment relies on the measurement of morphological features via microscopic analysis, yet few studies have categorized the extent of damage sustained, and instead, have depended on qualitative profiling based on the presence or absence of specific features. We describe the development and application of a novel quantitative measure for scoring hair surface damage in scanning electron microscopic (SEM) images without predefined features, and automation of image analysis for characterization of morphological hair damage after exposure to an explosive blast. Application of an automated normalization procedure for SEM images revealed features indicative of contact with materials in an explosive device and characteristic of heat damage, though many were similar to features from physical and chemical weathering. Assessment of hair damage with tailing factor, a measure of asymmetry in pixel brightness histograms and proxy for surface roughness, yielded 81% classification accuracy to an existing damage classification system, indicating good agreement between the two metrics. Further ability of tailing factor to score features of hair damage reflecting explosion conditions demonstrates the broad applicability of the metric to assess damage to hairs containing a diverse set of morphological features. </p>
ScienceDex guides
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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.