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638 results for “thinning”
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 10
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 10 comprises an image series of 255 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 05
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 05 comprises an image series of 500 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 6 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 03
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 03 comprises an image 3D model of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. The model was generated by segmentation of the entire cell, the cell nuclei (red) and the ventral disc cytoskeleton (yellow) in an image series of 276 images which was recorded by SBF SEM (see dataset 01). Section interval was 50 nm and pixel size 10 nm. The data folder contains the model-file (Imaris-format) and a 360° rotation of the model as video file (mp4-format).</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 02
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 02 comprises an image series of 1462 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 5 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 09
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 09 comprises an image series of 400 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 08
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 08 comprises an image series of 299 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 3 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 04
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 comprises an image series of 120 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 07
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 07 comprises an image series of 318 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 8 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 06
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 06 comprises an image series of 215 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 01
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 comprises an image series of 276 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 4 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Time-resolved pump-probe ellipsometry of the photoinduced insulator-metal transition in 25 nm VO2 thin films
<h3>Data available</h3> <p>Transient pseudo dielectric function and ellipsometric parameters (\Psi and \Delta) measured with a time-resolved pump-probe ellipsometry on a 25 nm VO2 film deposited on SiO2.</p> <p>The data of the transient pseudo dielectric function and ellipsometric parameters (\Psi and \Delta) are provided for different pump wavelengths and pump fluences.</p> <ul> <li>\lambda_{pump} = 400 nm - F_{pump} = 3.058 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 3.823 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 5.352 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 6.117 mJ/cm2</li> <li>\lambda_{pump} = 400 nm - F_{pump} = 7.646 mJ/cm2</li> </ul> <ul> <li>\lambda_{pump} = 800 nm - F_{pump} = 1.536 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 1.919 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 2.109 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 2.654 mJ/cm2</li> <li>\lambda_{pump} = 800 nm - F_{pump} = 2.793 mJ/cm2</li> </ul> <h3>Naming of the files</h3> <p>In the .zip file that can be downloaded here, there are several folders.</p> <p>Each are named as lambda_pump_XXX_nm_fluence_YYY_mJcm-2 where XXX is either 400 or 800 and YYY is the fluence value.</p> <p>In each folder are four files.</p> <ul> <li>diffdelta.txt - values of the transient ellipsometric parameter \Delta.</li> <li>diffpsi.txt- values of the transient ellipsometric parameter \Delta.</li> <li>diffpseudoepsilon1.txt- values of the real part of the transient pseudo dielectric function.</li> <li>diffpseudoepsilon2.txt- values of the real part of the transient pseudo dielectric function.</li> </ul> <h3>Structure of the files</h3> <p>Each file has the same structure:</p> <p>The first row an array time delays in picosecond for which measurements have been performed.</p> <p>In the rest of rows, the first element of the array are the photon energy, while the rest of the elements are the values of the transient dielectric function or ellipsometric parameters (\Psi and \Delta) at each of the elements in the time delay array.</p> <p>Example:</p> <p>time delay t1 t2 t3</p> <p>E1(eV) Delta(E1, t1) Delta(E1, t2) Delta(E1, t3)</p> <p>E2(eV) Delta(E2, t1) Delta(E2, t2) Delta(E2, t3)</p> <p>E3(eV) Delta(E3, t1) Delta(E3, t2) Delta(E3, t3)</p>
Data for publication titled "Effect of ion irradiation on superconducting thin films"
<p>Here is the data to support the findings in the article titled "Effect of ion irradiation on superconducting thin films".</p> <p>There is a .txt file showing the room temperature sheet resistance measurement results for different wafers (measured by a four point probe in multiple positions of the wafer and the value in the table is the average of those measurements).</p> <p>The .csv files show resistance of the films scaled by the room temperature resistance value (R_RT) as a function of temperature. The first column is temperature (K) and the second column is R(T)/R_RT. For some wafers, there are multiple measurement results, labeled _a/_b/_c.</p> <p>The TEM images are the .tif files and FFT graphs derived from some of the TEM images are shared as .png files (titles show which TEM image has been used).</p> <p>EDS data is also shared for some wafers. The corresponding wafer is in the file names, and the data contains a .rpl, a .raw and a .png file with same main names.</p> <p> </p>
Dataset for "Role of electron-phonon coupling and thermal expansion on band gaps, carrier mobility, and interfacial offsets in kesterite thin-film solar cells"
<p>Dataset for "Role of electron-phonon coupling and thermal expansion on band gaps, carrier mobility, and interfacial offsets in kesterite thin-film solar cells"</p>
Data for "Identification of Killer Defects in Kesterite Thin-Film Solar Cells"
<p>**README**</p> <p>Data for "Identification of Killer Defects in Kesterite Thin-Film Solar Cells"</p> <p>DOI: 10.1021/acsenergylett.7b01313</p> <p><br> * File Tree <br> ---<br> * DFT_CALC // Row input file for DFT calculation (VASP)<br> * XX_DEFECT_CZTS(e) // Data for CZTS (or CZTSe)<br> * XX_PRIM(ORTHO/221) // Data for bulk (primitive, orthogonal or 2X2X1 supercell)<br> * XX_Defect // Data for defect (V_S, Sn_Cu, Sn_Zn, Cu_Sn)<br> * XX_q // SCF calculation with charge state q <br> * fig // data used to draw figures<br> * 00_atomic_structure <br> * 01_charge_transition_level<br> * 02_charge_density<br> * 03_configuration_coordinate<br> * 20_SI_PHASE_DIAGRAM</p>
Dataset used in manuscript: "Monolayer and thin h–BN as substrates for electron spectro-microscopy analysis of plasmonic nanoparticles "
<p>This file contains raw data for the manuscript:<br> "Monolayer and thin h–BN as substrates for electron spectro-microscopy analysis of plasmonic nanoparticles"<br> Tizei LHG et al, Applied Physics Letters 113, 231108 (2018).</p> <p>The data is electron energy loss spectroscopy (EELS) hyperspectral images of gold nanotriangles on different substrates.</p> <p>Data can be opened and manipulated using Hyperspy (www.hyperspy.org), Numpy and Matploplib libraries available in Python 3. The file formats used were HSPY (based HDF5 open standard) and MSA.</p> <p>Each folder contains the following data for all the triangles used in the manuscript:</p> <p>1) One annular dark field image of the triangle in HSPY format;<br> 2) One spectrum image aligned (the zero-loss speak is set to 0 eV) in HSPY format;<br> 3) Three spectra, one for each tip, already after deconvolution (20 steps using a home-made script in Digital Micrograph) in MSA format;<br> 4) The zero-loss spectrum used for the deconvolution of the data in MSA format;</p> <p>The file names have a specific format to facilite scripting:</p> <p>1) finishes with "Calibrated.hspy";<br> 2) finishes with "aligned.hspy";<br> 3) finishes with "TipX.msa" where X is 1, 2 or 3;<br> 4) finishes with "Summed.msa";</p> <p>Data acquisition parameters are described in the manuscript: Tizei LHG et al APL 113, 231108 (2018).</p>
Dataset for "Drift instabilities in thin current sheets using a two fluid model with pressure tensor effects"
<p>Data for publication of the same title submitted to JGR space physics. Quantities and plotting scripts for the eigenmode figures are in the zip file. Simulation data for the time slice used in the figure are in the lhdi.tar and lhdi-fluid-2x2v.h5 files. "lhdi-fluid-2x2v.h5" contains electric field data for the five- and local ten-moment fluid simulations in 2x2v. The tar file contains kinetic simulation data, nonlocal ten-moment data, and the five- and ten-moment simulations using 2x3v. </p> <p>This is an update to the old dataset with the additional 2x2v simulation data.</p>
Text-fig. 4. Thin section of premolar from a cave lion (Panthera spelaea), Ossuary II, 2a, 3b. in Seasonality Of Use Of Za Hájovnou Cave By Bears And Lions
Text-fig. 4. Thin section of premolar from a cave lion (Panthera spelaea), Ossuary II, 2a, 3b.
Text-fig. 5. Thin section of molar from a cave lion (Panthera spelaea), Chodba naděje, layer 3. in Seasonality Of Use Of Za Hájovnou Cave By Bears And Lions
Text-fig. 5. Thin section of molar from a cave lion (Panthera spelaea), Chodba naděje, layer 3.
Text-fig. 1. Thin section of canine from a bear (Ursus deningeri), Narozeninová chodba, layer 2b. in Seasonality Of Use Of Za Hájovnou Cave By Bears And Lions
Text-fig. 1. Thin section of canine from a bear (Ursus deningeri), Narozeninová chodba, layer 2b.
Text-fig. 16. Upper part of the Botchi thin-bedded plant-bearing tuffaceous beds. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 16. Upper part of the Botchi thin-bedded plant-bearing tuffaceous beds.
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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.