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3,474 results for “Electron”
Figs 11–12 in Electron Microscopical Investigations of a New Species of the Genus Sappinia (Thecamoebidae, Amoebozoa), Sappinia platani sp. nov., Reveal a Dictyosome in this Genus
Figs 11–12. Sappinia platani sp. nov. Transmission electron micrographs, continued. 11 – bundles of microfilaments in the cytoplasm (arrowheads); 12 – agglomeration of membranous tubules (presumably endoplasmic reticulum) in the cytoplasm. Scale bar: 0.25 μm in Fig. 11 and 0.5 μm in Fig. 12.
Figs 5–10 in Electron Microscopical Investigations of a New Species of the Genus Sappinia (Thecamoebidae, Amoebozoa), Sappinia platani sp. nov., Reveal a Dictyosome in this Genus
Figs 5–10. Sappinia platani sp. nov. strain PL-247, CCAP 1575/4. Electron micrographs. 5 – detail of the plasma membrane and cell coat; 6 – nuclei and part of the cytoplasm surrounding them; 7 – area of contact between two nuclei. Note microtubules (arrowheads) beneath the nuclear envelopes; 8 – microtubules (arrowheads) inside the nucleus associated with nuclear envelope; 9 – dictyosomes; 10 – mitochondria and bacteria in the cytoplasm. Scale bar: 1 µm in Figs 6, 10; 0.25 µm in other figures.
Figs 2–4 in Electron Microscopical Investigations of a New Species of the Genus Sappinia (Thecamoebidae, Amoebozoa), Sappinia platani sp. nov., Reveal a Dictyosome in this Genus
Figs 2–4. Sappinia platani sp. nov. strain PL-247, CCAP 1575/4. Light micrographs. 2 – trophozoite with clearly visibly hyaloplasm at the anterior part of the cell and one pair of nuclei (marked by arrows); 3 – initiating development of cyst. Four nuclei (arrows) and the cyst wall are visible; 4 – young cyst with two amoeba cells separated by a border. The differentiation in endocyst and ectocyst is clearly visible (arrows). Scale bars: 20 µm.
BIR-MicroED: selected area electron diffraction datasets from tilting microcrystals, with multiple sweeps of data collected on each crystal (biotin, Zn(II)-methionine) at 200 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). For each crystal, multiple subsequent sweeps (passes) at the same incident flux covering the same angular range are given. Zip files are named according to the format: <em>"CompoundName</em>_multipass_<em>RotationSpeed</em>_<em>FrameRate</em>_<em>SpotSize</em>_tiltseries_<em>Temperature</em>.zip"</p> <p>Where spot size 11 = 0.01 electrons per square Angstrom per second incident flux, and spot size 10 = 0.03 electrons per square Angstrom per second incident flux</p> <p>Diffraction datasets within each folder are named according to the format: <em>"CompoundName</em>_tiltseries_<em>AcceleratingVoltage</em>_<em>Temperature_IncidentFlux</em>_crystal#sweep#.mrc"</p> <p>Where crystal1sweep1 and crystal1sweep2 indicate the first and second sweep of data acquired on the same crystal, respectively.</p>
BIR-MicroED: selected area electron diffraction datasets from slowly rotating (0.09 degrees/second) microcrystals (biotin, Zn(II)-methionine, and Co(II)-porphyrin) at 200 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets 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>_slowrotation_0pp09dps_tiltseries_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>"CompoundName</em>_slowrotation_0p09dps_tiltseries_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.mrc"</p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals on extra thick carbon support films (biotin, Zn(II)-methionine, Zn(II)-histidine) at 300 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .tvips 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>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.tvips</p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals (Zn(II)-histidine, Co(II) meso-tetraphenyl porphyrin, AVAAGA) at 300 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .tvips 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>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.tvips</p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals (AVAAGA, thiostrepton, proteinase K) at 200 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets 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>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.mrc</p> <p>AVAAGA datasets are additionally designated "AVAAGA-dry" or "AVAAGA-vitrified", identifying diffraction from crystals dry-mounted on grids and diffraction from crystals embedded in vitreous ice, respectively.</p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals (thiostrepton) at 300 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .tvips 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>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.tvips</p>
РИС. 4. Прикрепительный аппарат глохидиев Beringiana beringiana: A–C – внешний вид крючков; D – макрошипы. Масштабные линейки 10 мкм (A–C) и 5 мкм (D). СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 4. Hooks (A–C) and macrospines (D) of Beringiana beringiana glochidia. Scale bars 10 µm (A–C) и 5 µm (D). Scanning electron microscopy. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 4. Прикрепительный аппарат глохидиев Beringiana beringiana: A–C – внешний вид крючков; D – макрошипы. Масштабные линейки 10 мкм (A–C) и 5 мкм (D). СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 4. Hooks (A–C) and macrospines (D) of Beringiana beringiana glochidia. Scale bars 10 µm (A–C) и 5 µm (D). Scanning electron microscopy.
РИС. 5. Поверхности створки глохидиЯ со скульптурой и порами: А – наруЖнаЯ; В –внутреннЯЯ. Масштабные линейки 10 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 5. Valve surfaces with the sculpture and pores: A – exterior; B – interior. Scale bars 10 µm. Scanning electron microscopy. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 5. Поверхности створки глохидиЯ со скульптурой и порами: А – наруЖнаЯ; В –внутреннЯЯ. Масштабные линейки 10 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 5. Valve surfaces with the sculpture and pores: A – exterior; B – interior. Scale bars 10 µm. Scanning electron microscopy.
РИС. 3. Раковины Зрелых глохидиев Beringiana beringiana в раЗных ракурсах: А–С – Закрытые раковины, вид со стороны створки (А), вентрального угла (В) и лигамента (С); D–F – полностью открытые раковины, вид иЗнутри (D), снаруЖи (E) и боковых краев створок (F); G, H – приоткрытые раковины, стрелка укаЗывает на остатки волокон мускулаЗамыкателЯ. МасштабнаЯ линейка 100 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 3. Mature glochidial shells of Beringiana beringiana from different angles of view: A–C – closed shells, view from the valve side (A), ventral angle (B), and ligament (C); D–F – open shells, interior view (D), exterior view (E), and from lateral margins of valves (F); G, H – ajar shells, the arrows indicate the remains of the adductor muscle fibers. Scale bar 100 µm. Scanning electron microscopy. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 3. Раковины Зрелых глохидиев Beringiana beringiana в раЗных ракурсах: А–С – Закрытые раковины, вид со стороны створки (А), вентрального угла (В) и лигамента (С); D–F – полностью открытые раковины, вид иЗнутри (D), снаруЖи (E) и боковых краев створок (F); G, H – приоткрытые раковины, стрелка укаЗывает на остатки волокон мускулаЗамыкателЯ. МасштабнаЯ линейка 100 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 3. Mature glochidial shells of Beringiana beringiana from different angles of view: A–C – closed shells, view from the valve side (A), ventral angle (B), and ligament (C); D–F – open shells, interior view (D), exterior view (E), and from lateral margins of valves (F); G, H – ajar shells, the arrows indicate the remains of the adductor muscle fibers. Scale bar 100 µm. Scanning electron microscopy.
Pure Electronic Noise of an Orbitrap Mass Spectrometer (36 replicates)
<p>The provided data was produced by performing measurements in an HPLC-ESI-Orbitrap instrument setup without the ESI being connected to an eluent flow, and consequently not producing a spray cone. We provide this data to allow researchers developing algorithms for data analysis in mass spectrometry to estimate the behaviour of their tools when confronted with real, non-chemical noise. </p> <p>As a consequence of the experimental setup, chromatographic information is included in the provided files. This does not reflect any condition of the system, as the HPLC was not connected to the MS. When using a (chromatographc) peak finding algorithm, consequently no peaks should be found. This property of the data was confirmed using the qAlgorithms program, with no peaks and at most single-digit numbers of EICs being detected.</p> <p>All data is provided in profile mode, both as the .raw file and converted to .mzML using msconvert. </p>
Quasilinear Analysis in the Source Region of Jovian Hectometric Emissions Associated with Upward Electron Beams
<p>This is the supporting data set for the paper by the same title published in AGU JGR Space Physics.</p> <p><strong>Key Points:</strong></p> <ol> <li>Upward electron beams detected in HOM source region excite low-frequency waves.</li> <li>One-sided loss-cone electron distribution excites extraordinary mode via cyclotron maser instability, which leads to HOM emission.</li> <li>The Observed wave spectra and particle characteristics can be modeled by employing quasilinear wave-particle analysis.</li> </ol> <p><strong>Plain Language Summary:</strong></p> <p>NASA’s Juno space probe orbiting the planet Jupiter measured energetic electrons streaming out from the northern polar region of the planet. These electrons were seen to travel in an environment permeated by high-frequency radio emission called the Jovian hectometric emission. By employing a mathematical model known as the quasilinear plasma kinetic theory the essential characteristics of the electrons and the electromagnetic wave spectra measured by the Juno space probe are theoretically replicated. This exercise helps scientists understand the nature of physical processes taking place in the space environment surrounding the planet Jupiter.</p> <p><strong>Abstract:</strong></p> <p>Intense upward electron beams were measured by the Juno JADE instrument in the northern hemisphere, low-latitude auroral zone source region. In this study we report on how these electron beams interact with plasma near and within the Jovian hectometric (HOM) emission (1 MHz < f < 5 MHz) source region. Within the source region large upward loss cones are observed in the northern polar region at radial distances of ∼ 2Rj, magnetic latitude of ∼ 70◦ . Intense, narrow electron beams (E < 3 keV) are then observed, but within one second wave-particle scattering is observed, filling the loss cone to energies > 50 keV. These energies persist for several seconds before fading, leaving an empty loss cone again. The loss cone provides a free-energy source for HOM emission resulting from the cyclotron maser instability. We use quasilinear analysis to examine the generation of HOM and the dynamics of wave-particle interaction of the electron beams with HOM, and the generation via Landau interaction of whistler mode emission. The dynamic spectrum of the HOM emission generated by the loss-cone electrons as well as that of the low-frequency whistler-mode waves generated by the up-going electron beam can be constructed by quasilinear theory, which compare well with observation. The saturated state of the energetic electron velocity distribution function constructed via quasilinear theory also compare reasonably with observation.</p>
Chemical Effects Induced by Relativistic Precipitating Electrons
<p>Figures, data, and code used in my paper describing "Chemical Effects Induced by Relativistic Precipitating Electrons"</p>
Experimental data for: "Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of field limits"
<p>This is the raw experimental data for the paper: "Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of field limits"</p> <p>Now also including code to recreate figures, and data from alignment and multi-slice ptychography reconstructions.</p> <p>The data is in zarr format and can be read with the zarr python library. It also contains metadata in a dictionary. </p>
Electronic Supplementary Material
<p>This electric supplementary material provides the files which were used for the virtual hydraulic tests with FLAC3D software (see the text file "readme").</p>
Datasets for 'Electron ptychography reveals a ferroelectricity dominated by anion displacements'
<p>4D-STEM datasets for the multislice electron ptychographic reconstructions reported in the paper 'Electron ptychography reveals a ferroelectricity dominated by anion displacements' <a href="https://doi.org/10.48550/arXiv.2408.14795" target="_blank" rel="noopener">arXiv.2408.14795</a>. The reconstruction code based on the <a href="https://github.com/yijiang1/fold_slice" target="_blank" rel="noopener">fold_slice</a> package is also provided along with the data.</p>
Electronic Supplement / Data Archive for "Comparison of a Neutral Density Model With the SET HASDM Density Database"
<p>These files provide supplemental data to accompany the paper "Comparison of a Neutral Density Model With the SET HASDM Density Database,” submitted to <em>Space Weather, </em>with manuscript number 2021SW002888. Details are provided in the file DataArchiveDocumentation.pdf.</p>
Utilizing cosmic-ray positron and electron observations to probe the averaged properties of Milky Way pulsars
<p>We include here the Milky Way pulsars simulations that were created and used in "Utilizing cosmic-ray positron and electron observations to probe the averaged properties of Milky Way pulsars" of Cholis & Krommydas 2021. We include both the simulations before fitting to the cosmic-ray observations and the simulations whose electron and positron fluxes have been fitted to the AMS, CALET and DAMPE observations. See paper for further details.</p>
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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)
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.