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3,474 results for “electronics”
Continuous rotation electron diffraction data for Zeolite Mordenite
<p><strong>Raw continuous rotation electron diffraction data for mordenite:</strong><br> <br> - mordenite_cRED_1.zip<br> - mordenite_cRED_2.zip</p> <p>The zip file contains 3 directories<br> <br> - SMV: Diffraction data (stretch correction applied) in SMV format<br> - Tiff: Raw diffraction data in 16-bit unsigned integer TIFF format<br> - Defocused images in 16-bit unsigned integer TIFF format</p> <p>Experimental parameters are stored in the header files of the SMV images, and in the file cRED_log.txt<br> The SMV data can be processed using XDS.</p> <p><br> <strong>Raw serial electron diffraction data sets for mordenite:</strong></p> <p> - mordenite_SerialED.zip</p> <p>The zip file contains at least 3 directories:</p> <p> - calib: contains the calibration files for the experiment<br> - data: contains the raw diffraction data for all the identified crystals in hdf5 format<br> - images: contains the image data used to locate crystals in hdf5 format</p> <p>Experimental parameters (such as the crystal coordinates) are stored in the attributes on the data files. The Python code to process the data can be found in the problematic-0.1.0.zip folder or on http://github.com/stefsmeets/problematic<br> Prediction scores for all diffraction patterns are given in `learning.csv`<br> </p>
Negative Staining Electron Microscopy Procedure - Video
<p>The Video shows the procedure of negative staining which is used to prepare particles of suspensions for transmission electron microscopy. The procedure is described in a document available at https://zenodo.org/record/1468676.</p>
Electron Bessel beam diffraction patterns, line scan of Si/SiGe multilayer
<p>Electron diffraction patterns taken with a conical illumination (electron Bessel beams) and can be used to measure strain.</p> <p>The experimental diffraction patterns, in DM3 format, are included in the file experimental_data.7z while FEM strain simulations for the same sample are in the file reference_strain_experimental.csv</p> <p>Simulated diffraction patterns are included in the file simulated_patterns.7z while the strain in the model used is in the file reference_strain_simulated_patterns.csv</p> <p> </p> <p>The two python scripts attached allow the extraction of the strain, and rely on the code published at:</p> <p>https://bitbucket.org/lutosensis/tem-thesis/</p> <p> </p>
Real-time optical and electronic sensing with a β-amino enone linked, triazine-containing 2D covalent organic framework
<p>[This repository contains the source data for the manuscript "<strong>Real-time optical and electronic sensing with a β-amino enone linked, triazine-containing 2D covalent organic framework</strong>" https://nature-research-under-consideration.nature.com/users/37265-nature-communications/posts/47951-a-real-time-optical-and-electronic-chemical-sensor-based-on-a-amino-enone-linked-triazine-containing-2d-covalent-organic-framework]</p> <p>Fully-aromatic, two-dimensional covalent organic frameworks (2D COFs) are hailed as candidates for electronic and optical devices, yet to-date few applications emerged that make genuine use of their rational, predictive design principles and permanent pore structure. Here, we present a 2D COF made up of chemoresistant β-amino enone bridges and Lewis-basic triazine moieties that exhibits a dramatic real-time response in the visible spectrum and an increase in bulk conductivity by two orders of magnitude to a chemical trigger - corrosive HCl vapours. The optical and electronic response is fully reversible using a chemical switch (NH<sub>3</sub> vapours) or physical triggers (temperature or vacuum). These findings demonstrate a useful application of fully-aromatic 2D COFs as real-time responsive chemosensors and switches.</p>
Electronic Identification survey on small ruminants
<p>The results from the survey made in the 7 countries on farmers about the current use of Electronic Identification and main barriers and motivations in October 2018.</p>
Electronic representation of Russian journals on Earth Sciences
<p>The dataset describes the deprth of digital archives of the most authoritative Russian journal on Earth Sciences. The five figures demostrate the results of graphical processing while preparing digital archives of Geologiya i Geofizika and Zapiski Gornogo Instituta journals, as well as the forms of metadata presentation in electronic archives.</p>
Dataset of electronic Raman scattering in rhombohedral graphite
<p>The dataset contains the raw data, used to generate the figures of our paper (Carbon 2024 and arxiv: 2401.17779).</p> <p>Each folder contains the raw data in text files as well as the python Jupyter notebooks used to analyse the data and generate the figures.</p> <p>To work with the data, open the Jupyter notebooks (*.ipynb files). The notebooks can be previewed by opening the html exported format of each notebook.</p>
Profiling results for electron-positron plus jets production with Pepper
<h2>Profiling results for electron positron plus jets production with Pepper v1.1.1</h2> <h3>Contents</h3> <p>This includes data/output for the following GPU accelerated unweighted event generation runs:</p> <ul> <li>A run over a few seconds to produce pepper-internal timing results (`*timers.csv` files)</li> <li>The same run, but with `nvprof` (`*.nvprof` files)</li> <li>A run with a single event batch, with `ncu --import-source on --set full` (`*.ncu-rep` files)</li> </ul> <p>The simulated process is electron-positron pair production with n jets, with n = 0...4, at 13 TeV. The configuration files (`pepper.ini`) are included. Also the `pepper_cache` directories are included.</p> <p>All results are for the "main" pepper variant (which uses Kokkos to utilise the GPU) and for the "native" pepper variant (which uses CUDA directly).</p> <h3>Software stack and CPU/GPU hardware details</h3> <p>The software/hardware used for the profiling are as follows:</p> <ul> <li>GPU Driver: NVIDIA-SMI: 550.100, Driver Version: 550.100, CUDA Version: 12.4</li> <li>GPU: Tesla V100S-PCIE-32GB</li> <li>Cuda compilation tools: release 11.6, V11.6.124</li> <li>Kokkos 4.3.01</li> <li>gcc (GCC) 11.4.1 20231218 (Red Hat 11.4.1-3)</li> <li>Intel(R) Xeon(R) Silver 4214R CPU @ 2.40GHz</li> </ul> <p>Note that the event generation includes write-out of event files. The LHEH5 files are written to local SSD storage. The event files are not included in this dataset.</p> <h3>Additional run parameters</h3> <table> <tbody> <tr> <td>e^+ e^-</td> <td>number of batches</td> <td>batch size</td> <td>rate (main variant)</td> <td>rate (native variant)</td> </tr> <tr> <td>+0j</td> <td>20</td> <td>1,179,648</td> <td>5.7e9</td> <td>7.4e9</td> </tr> <tr> <td>+1j</td> <td>20</td> <td>1,179,648 * 2</td> <td>1.4e10</td> <td>3.3e10</td> </tr> <tr> <td>+2j</td> <td>80</td> <td>1,179,648 / 2</td> <td>1.3e10</td> <td>5.4e10</td> </tr> <tr> <td>+3j</td> <td>20</td> <td>1,179,648</td> <td>7.7e9</td> <td>1.6e10</td> </tr> <tr> <td>+4j</td> <td>20</td> <td>1,179,648</td> <td>2.2e9</td> <td>3.1e9</td> </tr> <tr> <td>+5j</td> <td>20</td> <td>1,179,648</td> <td>3.4e8</td> <td>4.2e8</td> </tr> </tbody> </table> <p>The number of batches has been chosen such that the most important sub processes are likely to be sampled and such that the overall runtime is at least a few seconds. The batch size has been chosen by scanning over factors of two and picking the best-performing batch size with the native variant. The event rate is the number given in the Pepper output. It does not include the closing time of the generated HDF5 file, which can be significant for the two lowest multiplicities. This can be checked by inspecting the corresponding relative and absolute timing results in the `*timing.csv` files included in the dataset.</p>
IODP Expedition 398 Scanning electron microscope images
Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
Electron-spin decoherence in trityl radicals in the absence and presence of microwave irradiation
<p>Experimental data sets on bare-spin and dressed-spin decoherence of some trityl radicals, DFT-predicted hyperfine couplings and atom coordinates, simulation scripts, and simulated data. </p>
The conception of a solvated electron: X-ray-induced attosecond electron dynamics of aqueous ions - data
<p>Data set pertaining to the article "Attosecond formation of charge-transfer-to-solvent states of aqueous ions probed using the core-hole-clock technique", published in <a href="https://doi.org/10.1038/s41467-024-52740-5" target="_blank" rel="noopener">Nature Communications</a>.</p> <p>Here we describe the time-evolution of core level excited electronic states of metal ions in aqueous solution on an ultrashort time scale. Extensive simulations towards this project were carried out. Simulated data include geometries for solvated metal ion complexes and their X-Ray absorption spectra. Experimental data were recorded by photoemission spectroscopy from a liquid jet source using synchrotron radiation. </p> <p>Files with extension .h5 are hdf5-files structured according to the NeXus standard v2022.07, see<br>https://www.nexusformat.org/<br>https://fairmat-experimental.github.io/nexus-fairmat-proposal/50433d9039b3f33299bab338998acb5335cd8951/mpes-structure.html<br>NeXus data files can be opened with any software capable of opening hdf5-structured files. The following viewers are adapted to the specifics of the NeXus data format:<br>* nexpy (distributed with python)<br>* https://h5web.panosc.eu/h5wasm (web-based NeXus viewer maintained by the European Photon and Neutron Open Science Cloud-consortium)</p> <p>In each NeXus file-entry, two types of spectra are shown:<br>1. Sweep-averaged spectra, integrated over the non-dispersive coordinate of our detector ('data') if applicable.<br>2. As-measured data ('raw').</p> <p>Files with extension .csv or .txt are comma-separated ascii-files, designed to be opened with a spreadsheet programme.</p> <p><br>The following files are provided:</p> <table> <tbody> <tr> <td>Filename</td> <td>Content</td> </tr> <tr> <td> </td> <td>Experimental Data:</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/na_mg_al_1s-resonance_cfs.h5/content" target="_blank" rel="noopener noreferrer">na_mg_al_1s-resonance_cfs.h5</a></td> <td>Series of experimental photoemission spectra recorded over the 1s - val resonances, for NaCl, MgCl2 andAlCl3 metallic salt solutions</td> </tr> <tr> <td><span><a href="https://zenodo.org/api/records/13862194/draft/files/SI-Fig6.zip/content" target="_blank" rel="noopener noreferrer">SI-Fig6.zip</a></span></td> <td>Ascii representation of the data and fit curves used to determine in 1s lifetime broadening, shown in Fig. 6 of the Supplementary Information.</td> </tr> <tr> <td> </td> <td>Theoretical Data:</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.geometries.zip/content" target="_blank" rel="noopener noreferrer">th.geometries.zip</a></td> <td>Cartesian coordinates of the constituents of metal-water clusters containing 6 water molecules and containing 18 water molecules. Unit of length is Ångström.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.excitation_energy.zip/content" target="_blank" rel="noopener noreferrer">th.excitation_energy.zip</a></td> <td>Excitation energies for metal-water clusters containing 6 water molecules and containing 18 water molecule, at various levels of approximation. tddft-src2: at the SRC2-R2 level with a cc-pCVTZ basis set on the cations and a cc-pVTZ basis set on the water molecules in a polarizable continuum; eomccsd: at the EOM-EE-CCSD level with a cc-pCVTZ basis set on the cations and a cc-pVTZ basis set on the water molecules. For the purpose of spectra construction in Figure 1, each calculated spectral point was broadened by a phenomenological value of 0.2 eV. Energies are in eV, transition dipole moment components in e*bohr.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.spektrum.pade.zip/content" target="_blank" rel="noopener noreferrer">th.spektrum.pade.zip</a></td> <td>Excitation energies for metal-water clusters containing 6 water molecules calculated at the RT-TDDFT level with a cc-pVTZ basis set. For each cation, 3 trajectories were run. Energies are in eV.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.excitation_energy.zip/content" target="_blank" rel="noopener noreferrer">th.excitation_energy.zip</a></td> <td>Exciton analysis of the wave function (RMS electron size) for a set of 50 geometries of clusters containing 6 water molecules (small) or 18 water molecules (large) calculated at the SRC2-R2/cc-pVTZ level. The oscillator strengths are in a.u., the size of the electron is in Ångström.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/description_zenodo.pdf/content" target="_blank" rel="noopener noreferrer">description_zenodo.pdf</a></td> <td>More detailed description of the theoretical data sets.</td> </tr> </tbody> </table> <p> </p> <p>Version history<br>v2: fixed incorrect choice of data file for Na scan. Data for lifetime-figure in SI added.<br>v1: initial upload</p> <p>If you use part or all of these data in your scientific work we kindly ask you to provide us a copy. Contact: Uwe Hergenhahn, uhe@fhi.mpg.de .</p>
Saturn's magnetospheric proton and electron intensities from Cassini
<p>Differential intensities of 3keV – 40MeV protons and 10eV – 10MeV electrons in Saturn’s magnetosphere and radiation belts at L-shell distances between 1 and 20 Saturn radii from mission-averages of the MIMI/LEMMS, MIMI/CHEMS, and CAPS/ELS instruments on the Cassini spacecraft that was in orbit between 2004 and 2017.</p>
Raw Data for "Vanadium incorporation in ferrite nanoparticles serves as electron buffer and anisotropy tuner in catalytic and hyperthermia applications"
<p>Raw data for VxFe2-XO4 magnetic nanoparticles: characterization,magnetic hyperthermia experiments in polyacrylamide gels and EPR reactive oxygen species quantification after exposure to H2O2.</p>
Simulation data for "Characteristics of Wave-Particle Power Transfer as a Function of Electron Pitch Angle in Nonlinear Frequency Chirping" which will be submitted to Journal of Geophysical Research: Space Physics
<p>Simulation data for "Characteristics of Wave-Particle Power Transfer as a Function of Electron Pitch Angle in Nonlinear Frequency Chirping" which will be submitted to Journal of Geophysical Research: Space Physics.</p> <p>Including the simulation input parameter file and the necessary output data to plot each figure in the article. </p>
IODP Expedition 356 Scanning electron microscope images
Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
Supplementary data to Challenges and Opportunities for the Recovery of Critical Raw Materials from Electronic Waste
<p>Content of the excell file:</p> <p>Table S1: Relationship between UNU-keys and MINCOTUR codes</p> <p>Table S2: UNU-Key composition and alpha and beta values for Weibull distributions</p> <p>Table S3: Metal prices used in this study.</p>
IODP Expedition 359 Scanning electron microscope images
Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
Femtosecond electron diffuse scattering data of black phosphorus
<p>Femtosecond electron diffuse scattering data of black phosphorus measured at the Fritz Haber Institute in Berlin. The dataset contains an experiment at 100 K (measurement _1.h5) .</p>
Dataset: Electronic Spectra of Ytterbium Fluoride from Relativistic Electronic Structure Calculations
<p>This is the dataset for the manuscript entitled: "Electronic Spectra of Ytterbium Fluoride from Relativistic Electronic Structure Calculations" by J. V. Pototschnig, K. G. Dyall, L. Visscher and A. S. P. Gomes. It contains output files of various calculations and scripts to process them.</p>
Survey of Electrical & Electronic Equipment (EEE) Sector Stakeholders & End Users of EEE regarding Circular Economy in the EEE Sector
<p>The data is the full results of surveys of stakeholders in the electrical and electronic equipment (EEE) value chain conducted as part of the Horizon 2020 funded <a href="https://c-serveesproject.eu/index.php">C-SERVEES project</a>. </p> <p>The purpose of the survey was to provide guidance for the successful implementation of circularity in the EEE sector, specifically to develop circular economy business plans for four items of equipment: printers (inc. toner cartridges); washing machines; televisions; and network monitoring equipment. The survey aimed to capture data on:</p> <ul> <li>Circular economy awareness;</li> <li>Current practices relating to circular economy; and</li> <li>Circular economy opportunities, barriers and enablers.</li> </ul> <p>Investigation of opportunities, barriers and enablers focused on technical, economic, socio-cultural, regulatory and environmental themes. In addition, background information was also collected to enable some of the attributes of the respondent to be recorded. This included: country; city, years of experience in the industry as well as, in the household users’ survey, age and education level. </p> <p>The stakeholder groups surveyed are noted below, these being the key EEE supply chain actors. A separate dataset is available for each.</p> <ol> <li>Designers of EEE</li> <li>Suppliers to manufacturers of EEE</li> <li>Manufacturers of EEE</li> <li>EEE Retailers</li> <li>Business users of EEE</li> <li>Household users of EEE</li> <li>Waste EEE handlers</li> </ol> <p>A project report analysing the results of the survey is available: <em><a href="https://c-serveesproject.eu/project_activities.php?op=5">Guidelines for circular economic models in the E&E sector</a> . </em>A journal article outlining the subsequent development of the circular economy business models is also available: <a href="https://www.sciencedirect.com/science/article/abs/pii/S095965262101430X"><em>A circular economy business model innovation process for the electrical and electronic equipment sector</em></a>. </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.