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162 results for “tem”
Al-Co-Cu alloy - melt-spun ribbons and powder - SEM and TEM microstructure
<p>This set contains SEM and TEM images with EDS chemical composition data for Al-Co-Cu alloy in a melt-spun ribbon form, which was applied as a catalyst for the phenylacetylene hydrogenation reaction. </p> <p>The material preparation and microstructural analyses were performed at the Institute of Metallurgy and Materials Science of the Polish Academy of Sciences.</p> <p>The experimental procedure for material preparation, instrumentation, data collection and results analysis were described in the work: https://doi.org/10.1007/s43452-024-00904-x</p> <p> </p> <p>Preparation of materials: Amelia Zięba</p> <p>TEM images collection (FEI Tecnai G2, ThermoFisher Titan Themis G2 200 Probe Cs-Corrected): Amelia Zięba, Lidia Lityńska-Dobrzyńska</p> <p>SEM images acquisition (FEI E-SEM XL-30): Amelia Zięba</p> <p> </p> <p>Files description code:</p> <p>sem_rib_2000_1 - SEM BSE image of a melt-spun ribbon_magnification_image no</p> <p>sem_pwdr_1000_1 - SEM BSE image of pulverised melt-spun ribbons_magnification_image no</p> <p>sem_pwdr_ar_1000_1 - SEM BSE image of pulverised melt-spun ribbons recovered after use as a catalyst in the phenylacetylene hydrogenation reaction_magnification_image no</p> <p>tem_bf_1 - TEM bright field image of a melt-spun ribbon sample (FIB lamella)_image no</p> <p>tem_dyf_5 - selected area electron diffraction of a melt-spun ribbon sample - the number indicates a corresponding image number</p> <p>EDS-HAADF_img_1 - STEM image of a melt-spun ribbon sample (FIB lamella) with EDS corresponding maps and line analyses</p> <p>TEM_eds_point_analysis.txt - results of point analyses for EDS-HAADF_img_x series</p> <p>stem_pwdr_ar_1 - STEM images of powder recovered after reaction with EDS analysis results: eds_spec_stem_pwdr_ar_1</p> <p> </p> <p><em><strong>Acknowledgements</strong></em></p> <p><strong><em>The work was financially supported by the National Science Centre (NCN), Poland, project No. 2021/41/N/ST8/02533.</em></strong></p> <p> </p>
Linked collectors and determiners for: Asperula fidanii sp. nov. (Rubiaceae, Asperula L. sect. Oppositifoliae Schischk. ex Schönb. - Tem.): a new species from South Eastern Anatolia, Turkey.
Natural history specimen data linked to collectors and determiners held within, "Asperula fidanii sp. nov. (Rubiaceae, Asperula L. sect. Oppositifoliae Schischk. ex Schönb. - Tem.): a new species from South Eastern Anatolia, Turkey". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/cf19ca3d-f6e9-45ee-a74c-0e7bf8ec33e8">https://bionomia.net/dataset/cf19ca3d-f6e9-45ee-a74c-0e7bf8ec33e8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cf19ca3d-f6e9-45ee-a74c-0e7bf8ec33e8">https://gbif.org/dataset/cf19ca3d-f6e9-45ee-a74c-0e7bf8ec33e8</a>. Formatted as a Frictionless Data package.
Electron Diffraction (MicroED) Datasets for Aspirin (Glacios TEM with a CETA-D)
<p>Electron diffraction datasets collected from aspirin.</p> <p>Microscope: Thermo Fisher Scientific Glacios Transmission Electron Microscope (SDC1G at NanoImaging Services)</p> <p>Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode)</p> <p>Collection Software: Leginon (Cheng, et. al. 2021)*</p> <p>Collection Parameters: 200keV, -193C, 20um C2, gun lens 7.1, spot size 10, parallel beam, calibrated camera length 1065.7mm (1100 in UI), oscillation per frame 0.89deg, 222ms exposure time, tilt speed 4 deg/s, rotation -60 to +60 (first ~8 degrees not recorded)</p> <p>Grid: Ted Pella 01840</p> <p>Sample: C<sub>9</sub>H<sub>8</sub>O<sub>4</sub>, 2-acetoxybenzoic acid, 180.16 g/mol</p> <p>Structure: CCDC 2260060</p> <p> </p> <p>* Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers, along with a suggested pedestal value.</p> <p> </p> <p>A data processing tutorial is available for processing data collected with this setup using DIALS: </p> <p><a href="https://dials.github.io/documentation/tutorials/3DED/Biotin.html">https://dials.github.io/documentation/tutorials/3DED/Biotin.html</a></p>
Electron Diffraction (MicroED) Datasets for C20H13O4P (Glacios TEM with a CETA-D)
<p>Electron diffraction datasets collected from a chiral pharmaceutical compound.</p> <p> </p> <p>Microscope: Thermo Fisher Scientific Glacios Transmission Electron Microscope (SDC1G at NanoImaging Services)</p> <p>Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode)</p> <p>Collection Software: Leginon (Cheng, et. al. 2021)*</p> <p>Collection Parameters: 200keV, -193C, 20um C2, gun lens 7.1, spot size 10, parallel beam, calibrated camera length 1065.7mm (1100 in UI), oscillation per frame 0.89deg, 222ms exposure time, tilt speed 4 deg/s, rotation -60 to +60 (first ~8 degrees not recorded)</p> <p>Grid: Ted Pella 01840</p> <p>Sample: C<sub>20</sub>H<sub>13</sub>O<sub>4</sub>P, (R)-(-)-1,1-Binaphthyl-2,2’-diyl hydrogenphosphate, 348.29 g/mol</p> <p>Structure: CCDC 2260063</p> <p> </p> <p>* Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers, along with a suggested pedestal value.</p> <p> </p> <p>A data processing tutorial is available for processing data collected with this setup using DIALS: </p> <p><a href="https://dials.github.io/documentation/tutorials/3DED/Biotin.html">https://dials.github.io/documentation/tutorials/3DED/Biotin.html</a></p>
Electron Diffraction (MicroED) Datasets for Ipragliflozin (Glacios TEM with a CETA-D)
<p>Electron diffraction datasets collected from a chiral pharmaceutical compound.</p> <p> </p> <p>Microscope: Thermo Fisher Scientific Glacios Transmission Electron Microscope (SDC1G at NanoImaging Services)</p> <p>Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode)</p> <p>Collection Software: Leginon (Cheng, et. al. 2021)*</p> <p>Collection Parameters: 200keV, -193C, 20um C2, gun lens 7.1, spot size 10, parallel beam, calibrated camera length 1065.7mm (1100 in UI), oscillation per frame 0.89deg, 222ms exposure time, tilt speed 4 deg/s, rotation -60 to +60 (first ~8 degrees not recorded)</p> <p>Grid: Ted Pella 01840</p> <p>Sample: C<sub>21</sub>H<sub>21</sub>FO<sub>5</sub>S, (1<em>S</em>)-1,5-anhydro-1-<em>C</em>-{3-[(1-benzothiophen-2-yl)methyl]-4-fluorophenyl}-D-glucitol, 404.45 g/mol</p> <p>Structure: CCDC 2260059</p> <p> </p> <p>* Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers, along with a suggested pedestal value.</p> <p> </p> <p>A data processing tutorial is available for processing data collected with this setup using DIALS: </p> <p><a href="https://dials.github.io/documentation/tutorials/3DED/Biotin.html">https://dials.github.io/documentation/tutorials/3DED/Biotin.html</a></p>
Instance Segmentation of Dislocations in TEM Images
<p>This is the dataset and software for the IEEE publication <em>Instance Segmentation of Dislocations in TEM Images </em>to be published in 2023.</p>
Machine learning refinement of in situ images acquired by low electron dose LC-TEM
<p>This is a dataset of images acquired in vacuum condition and corresponding images in a solution listed in the text file list_dataset.txt. </p><p> </p><p>The code is available at <a href="https://github.com/hiroyasukatsuno/Machine-learning-refinement-of-images-acquired-by-LC-TEM">this website</a>:</p><p>https://github.com/hiroyasukatsuno/Machine-learning-refinement-of-images-acquired-by-LC-TEM/</p><p><br>Equipment of TEM:</p><ul><li>field-emission gun (JEM-2100F, JEOL, Tokyo)</li><li>OneView IS (Gatan, Inc., Pleasanton, CA, USA)</li></ul><p> </p>
TEM_3
Starożytna Grecja i Egipt. Kilka drobnych symboli, rzeczy charakterystycznych. Source: Objaverse 1.0 / Sketchfab
Supplementary material for the publication: Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Open the record for dataset details and reuse information.
Şekil 9. Gümüş nanoparÇacıklı kitinin TEM görüntüleri. in Eustigmaeus absens (Acari: Stigmaeidae) türünden elde edilen kitin ve Ag-dekore edilmiş kitin nanokompozit: İzolasyonu, karakterizasyonu ve antibakteriyel aktivitesi
Şekil 9. Gümüş nanoparÇacıklı kitinin TEM görüntüleri.
Design and assembly of core/shell nanostructures as investigated by microfluidics and molecular dynamics simulation_dataset_DLS_TEM_MD
<p><span>He we like to publish data related to modified and non-modified MSN cores analysed using microfluidics platform against acetalated dextran (AcDEX)/spermine modified acetalated dextran (SpAcDEX) polymers. </span></p> <p><span>The data contains Dynamic light scattering (DLS) and TEM images which help us to to the demarcation of combinations which formed successful core/shell particles along with, <em>in-silico</em> modelling and molecular dynamics (MD) simulations data showing molecular interactions between the core particles and <a>the encapsulant </a></span><span><span></span></span><span>polymer. </span></p>
Transmission electron microscopy (TEM) images of Silisyum dioxide nanoparticles.
<p>Transmission electron microscopy (TEM) images of Silisyum dioxide nanoparticles.</p>
Electron Diffraction (MicroED) Datasets for C16H20FN5OS (Glacios TEM with a CETA-D)
<p>Electron diffraction datasets collected from a chiral pharmaceutical compound.</p> <p> </p> <p>Microscope: Thermo Fisher Scientific Glacios Transmission Electron Microscope (SDC1G at NanoImaging Services)</p> <p>Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode)</p> <p>Collection Software: Leginon (Cheng, et. al. 2021)*</p> <p>Collection Parameters: 200keV, -193C, 20um C2, gun lens 7.1, spot size 10, parallel beam, calibrated camera length 1065.7mm (1100 in UI), oscillation per frame 0.89deg, 222ms exposure time, tilt speed 4 deg/s, rotation -60 to +60 (first ~8 degrees not recorded)</p> <p>Grid: Ted Pella 01840</p> <p>Sample: C<sub>16</sub>H<sub>20</sub>FN<sub>5</sub>OS, (N‐(5‐{[(3R)‐3‐[(5‐fluoropyrimidin‐2‐yl)methyl]piperidin‐1‐yl]methyl}‐1,3‐thiazol‐2‐yl)acetamide, 349.43 g/mol</p> <p>Structure: CCDC 2130868</p> <p> </p> <p>* Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers, along with a suggested pedestal value.</p> <p> </p> <p>A data processing tutorial is available for processing data collected with this setup using DIALS: </p> <p><a href="https://dials.github.io/documentation/tutorials/3DED/Biotin.html">https://dials.github.io/documentation/tutorials/3DED/Biotin.html</a></p>
Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis
<p>TEM images of Au nanoparticles of various sizes on ultra-thin carbon substrates and their corresponding labels for semantic segmentation. The images have a dataset label of "images" and the labels have a dataset label of "labels". </p>
Early Detection of Nucleation Events from Solution in LC-TEM by Machine Learning
<p>These data are images taken with a liquid cell transmission electron microscope and annotation data of particles.</p> <p>See <a href="https://github.com/hiroyasukatsuno/Early-Detection-of-Nucleation-Events-LC-TEM">this page (GitHub)</a>.</p> <p> </p>
Pesquisa sobre educação soviética tem como resultado lançamento de livro na UFSCar
<p>Amarilio Ferreira Junior, docente do Departamento de Educação da Universidade Federal de São Carlos (DEd - UFSCar), fala de sua pesquisa sobre o sistema soviético de educação construído a partir da Revolução de 1917 e persistiu até o fim da União Soviética. Esta pesquisa trouxe como resultado o lançamento de um livro em parceria com Marisa Bittar, também docente do DEd - UFSCar. O livro percorre os anos de existência desse sistema e destaca seus pontos específicos, como o fato de que foi edificado em curto espaço de tempo, alfabetizou toda a população adulta; universalizou a escola primária e secundária para todas as crianças e jovens, formou a força de trabalho soviética e sustentou ideologicamente a Revolução.</p> <p>Lattes: http://lattes.cnpq.br/0748545841167046</p> <p>CLICK CIÊNCIA Projeto de divulgação e popularização da Ciência produzido pelo Laboratório Aberto de Interatividade para Disseminação do Conhecimento Científico e Tecnológico da Universidade Federal de São Carlos (LAbI - UFSCar).</p> <p>Pesquisa sobre educação soviética tem como resultado lançamento de livro na UFSCar de <a href="https://youtu.be/a048Yaq_1aI">https://youtu.be/a048Yaq_1aI</a> está licenciado com uma Licença <a href="http://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons - Atribuição-NãoComercial-SemDerivações 4.0 Internacional</a>. Podem estar disponíveis autorizações adicionais às concedidas no âmbito desta licença em <a href="https://www.labi.ufscar.br/">https://www.labi.ufscar.br/</a>.</p>
Data related to: Simulated TEM imaging of a heavily irradiated metal
<p>Data set related to article "Simulated TEM imaging of a heavily irradiated metal"</p> <p>The data is the output of a simulation of single-crystal tungsten with periodic boundary conditions evolving under irradiation up to high dose (1 dpa). The simulation was done in LAMMPS, only every 100th snapshot in LAMMPS Dump format is uploaded here. A frame corresponds to a dose increment of 0.000167 dpa, i.e. frame 1000 corresponds to a dose of 0.167 dpa. The files are zipped. A finer resolution can be supplied upon request.</p> <p>The simulations were performed for the article: <a href="https://doi.org/10.1103/PhysRevMaterials.6.063601" target="_blank" rel="noopener">10.1103/PhysRevMaterials.6.063601</a>, where more details on the simulations are found. The data is here made available for the article: <a href="https://doi.org/10.48550/arXiv.2401.14781" target="_blank" rel="noopener">10.48550/arXiv.2401.14781</a>.</p> <p>The TEM simulation software is available at: <a href="https://github.com/mason-daniel/simulated_tem">https://github.com/mason-daniel/simulated_tem</a>.</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>
BIR-MicroED: TEM image series revealing bend contour motion in static microcrystals (biotin, Zn(II)-methionine, Co(II)-porphyrin, AVAAGA) and diffraction patterns acquired from the same crystals at 200 kV
<p>This deposition contains a series zip files each containing TEM image series and electron diffraction images in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). Zip files are named according to the format: <em>"CompoundName</em>_bendcontour_imageseries_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Data is further divided into sub-directories according to the particular crystal studied (crystal1, crystal2, crystal3), each containing a TEM image series (name format: "<em>CompoundName</em>_static_imageseries_<em>AcceleratingVoltage</em>_<em>Temperature</em>_crystal#.mrc") and 10 diffraction snapshots (2 frames each, each convering 1 second of electron beam exposure) acquired at equally spaced time intervals throughout the image series. These are named according to the format:</p> <p>"CompoundName_bendcontour_crystal#_diffraction_snap#.mrc"</p>
Comparison of mass specra obtained with and Atom Probe installed in a TEM (JEOL F 200, designated as SATMET) at Groupe de Physique des Matériaux UMR 6634 (Saint Etienne du Rouvray, France) and in a LEAP 5000 XS
<p>Comparison of mass specra obtained with an Atom Probe installed in a TEM (JEOL F 200, designated as SATMET) at Groupe de Physique des Matériaux UMR 6634 (Saint Etienne du Rouvray, France) and in a LEAP 5000 XS </p> <p>Conditions of analyses</p> <p>Material: Fe-51.4Cr (at%) alloy</p> <p>Temperature of APT analyses: 78K<br>Pulse repetition rate in LEAP 5000 XS: 25 kHz<br>Pulse repetition rate in SATMET: 20 kHz<br>Number of events collected in LEAP 5000 XS: 807 784<br>Number of events collected in SATMET: 472 423</p>
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