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802 results for “films”
Figure 5 in Earthworm diversity and abundance in different habitats at Satyajit Ray Film and Television Institute, Kolkata
Figure 5. Shannon-Wiener Diversity Index (Shannon H' Log Base 10) and Evenness Index (Shannon J') in different habitats.
Strategies to control humidity sensitivity of azobenzene isomerisation kinetics in polymer thin films
<p>This is the full dataset for the manuscript "Strategies to control humidity sensitivity of azobenzene isomerisation kinetics in polymer thin films", submitted to the journal "Communications Materials".</p> <p>All the results presented in the manuscript is based on the data included in this dataset. All the raw data and analysed data is included, excluding final figures in the manuscript, which were composed from the data within.</p> <p>The data includes multiple experiments with different methods and materials. The data is sorted from the top down all the way down to single experiments. The dataset includes "README.txt" files that provide additional information relevant at each level, for example for raw data they provide information on the experimental settings and for analysed data the provide analysis methods used.</p>
Dataset for the publication "Reversing the magnetization of 50-nm-wide ferromagnets by ultrashort magnons in thin-film Yttrium Iron Garnet"
<p>Dataset belonging to the manuscript "Reversing the magnetization of 50-nm-wide ferromagnets by ultrashort magnons in thin-film Yttrium Iron Garnet" published in Nanoscale Horizons, doi: <a href="https://doi.org/10.1039/D4NH00095A">https://doi.org/10.1039/D4NH00095A</a></p> <p>Every specific folder contains a text file that explains the measurement parameters and file formats.</p> <p>Abstract:</p> <p>Spin waves (magnons) can enable neuromorphic computing by which one aims at overcoming limitations inherent to conventional electronics and the von Neumann architecture. Encoding magnon signal by reversing magnetization of a nanomagnetic memory bit is pivotal to realize such novel computing schemes efficiently. A magnonic neural network was recently proposed consisting of differently configured nanomagnets that control nonlinear magnon interference in an underlying yttrium iron garnet (YIG) film [Papp et al., Nature communications, 2021, 12, 6422]. In this study, we explore the nonvolatile encoding of magnon signals by switching the magnetization of periodic and aperiodic arrays (gratings) of Ni81Fe19 (Py) nanostripes with widths w between 50 nm and 200 nm. Integrating 50-nm-wide nanostripes with a coplanar waveguide, we excited magnons having a wavelength λ of ≈100 nm. At a small spin-precessional power of 11 nW, these ultrashort magnons switch the magnetization of 50-nm-wide Py nanostripes after they have propagated over 25 μm in YIG. We also demonstrate the magnetization reversal of nanostripes patterned in an aperiodic sequence. We thereby show that the magnon-induced reversal happens regardless of the width and periodicity of the nanostripe gratings. Our study enlarges substantially the parameter regime for magnon-induced nanomagnet reversal on YIG and is important for realizing in-memory computing paradigms making use of magnons with ultrashort wavelengths at low power consumption."</p>
RAW DATA - Control of Intermolecular Interactions toward the Production of Free-Standing Interfacial Polydopamine Films - ACS Applied Materials & Interfaces 2023 15 (30), 36922-36935 DOI: 10.1021/acsami.3c05236
<div>This repository contains RAW data for the experiment described in the publication:</div> <div> </div> <div>Jakub Szewczyk, Visnja Babacic, Adam Krysztofik, Olena Ivashchenko, Mikołaj Pochylski, Robert Pietrzak, Jacek Gapiński, Bartłomiej Graczykowski, Mikhael Bechelany, and Emerson Coy, Control of Intermolecular Interactions toward the Production of Free-Standing Interfacial Polydopamine Films, ACS Applied Materials & Interfaces 2023 <em>15</em> (30), 36922-36935, DOI: 10.1021/acsami.3c05236.</div> <div> </div> <div>For more information please contact the corresponding authors.</div>
Ultrafast photoresponse of vertically oriented TMD films probed in a vertical electrode configuration on Si chips
<p>This dataset contains the measurement data for figures published in the journal article: </p> <p> Ultrafast photoresponse of vertically oriented TMD films probed in a vertical electrode configuration on Si chips (https://doi.org/10.1039/D2NA00313A)</p> <p>by Topias Järvinen, Seyed-Hossein Hosseini Shokouh, Sami Sainio, Olli Pitkänen and Krisztian Kordas</p>
A dataset on "Coating of self-sensing AFM cantilevers with boron-doped nanocrystalline diamond films at low temperatures"
<p>The data set to paper: </p> <p>Coating of self-sensing AFM cantilevers with boron-doped nanocrystalline diamond at low temperatures</p> <p>Štěpán Potocký1*, Jaroslav Kuliče1k, Egor Ukraintsev1, Ondřej Novotný2, Alexander Kromka3, and Bohuslav Rezek1</p> <p>1 Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 16627 Prague, Czech Republic<br>2 NenoVision s.r.o., Purkyňova 649, 61200 Brno, Czech Republic <br>3 Institute of Physics, Czech Academy of Sciences, Prague 6, Czech Republic<br>*corresponding author: potocky@fel.cvut.cz</p> <p>Data manager: Kristýna Dostálová: dostalovak@fzu.cz</p> <p>Date of data collection: 1. 10. 2023 - 31. 3. 2024</p> <p>All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective figure to which the data belong is provided in high resolution. <br>The data are in the following formats: <br>Figure 1: pdf<br>Figure 2: pdf<br>Figure 3: pdf, csv<br>Figure 4: pdf, csv, gwy<br>Figure 5: pdf, gwy<br>Figure S1: pdf<br>Figure S2: pdf</p> <p>The comma separated values file (csv) always contain the description of the columns in the first row. Gwy correspond to free Gwyddion SPM data analysis software (gwyddion.net). In case of composed image the name of the file corresponds to the corresponding figure.</p> <p>Data acquistion and processing is provided in the Experimental part in the publication: DOI:10.1002/pssa.202400553.</p>
Sound recordings with a graphene squeeze-film microphone
<p>This dataset contains two recordings of the Super Mario Theme song. </p> <ol> <li>"<span><a href="../api/records/13832687/draft/files/SuperMario_Mic_EntireSong_Paper.wav/content" target="_blank" rel="noopener noreferrer">SuperMario_Mic_EntireSong_Paper.wav</a></span>" was recorded with a reference microphone closely placed to a graphene squeeze-film microphone.</li> <li>"<span><a href="../api/records/13832687/draft/files/SuperMario_DUT_EntireSong_Paper_DownSampledTo48kHzSampFreqSameasMic.wav/content" target="_blank" rel="noopener noreferrer">SuperMario_DUT_EntireSong_Paper_DownSampledTo48kHzSampFreqSameasMic.wav</a></span>" was recorded with a graphene squeeze-film microphone.</li> </ol> <p>More details on the experimental conditions can be found in this preprint: <a href="https://arxiv.org/abs/2406.09566">https://arxiv.org/abs/2406.09566</a></p> <p> </p>
Data for "Characterizing the chemical potential disorder in the topological insulator (Bi1−xSbx)2Te3 thin films"
<p>Here, the data underlying all figures of the paper "Characterizing the chemical potential disorder in the topological insulator (Bi$_{1−x}$Sb$_x$)$_2$Te$_3$ thin films" is given in .csv or .txt file format.<br>Furthermore, raw data files are provided.<br>The STM/STS data was recorded and stored with the Nanonis SPM Control Software Version Generic 5 in the Nanonis file format (.sxm) for scan images, binary file format (.3ds) for STSgrids and ASCII file format for simple point STS.</p>
Modellus. Filmes Movimentos e Gráficos
<p>Modellus. Filmes Movimentos e Gráficos</p> <p>01 Movimento Rectilíneo, Carro a Acelerar com Aceleração Constante.mp4<br>02 Movimento Rectilíneo, Carro com Velocidade Constante.mp4<br>03 Movimento Rectilíneo, Carro Acelera 4 S...3 Segundos com Velocidade Constante.mp4<br>04 Movimento Rectilíneo, Carro Acelera, Velocidade Constante, Carro Trava e Para.mp4<br>05 Movimento Rectilíneo, Carro com Velocidade Constante, Trava e Fica Parado.mp4<br>06 Movimento Rectilíneo, Carro Trava e Fica Parado.mp4<br>07 Movimento Rectilíneo, Carro Parado e Arranca Com Aceleração Constante.mp4<br>08 Movimento Rectilíneo, Carro Parado e Arranca, Aceleração Não Constante.mp4</p> <p>B01 Carro em Circuito com Grafico Distância em Função do Tempo Decorrido.mp4<br>B02 Carro Parado, Acelera, Depois Velocidade Constante.mp4<br>B03 Carro Parado, Acelera (Muito...), Depois Velocidade Constante.mp4</p> <p><br>C01 Barco na Corrente do Rio.mp4<br>C02 Barco na Corrente do Rio.mp4</p>
Dataset for article: Nanostructure Formation in Glycerolipid Films during Enzymatic Hydrolysis: A GISAXS Study
<p><strong>Dataset for publication:</strong></p> <p>Nanostructure Formation in Glycerolipid Films during Enzymatic Hydrolysis: A GISAXS Study<br>Rafael V. M. Freire, Bettina Tran, Meron Debas, Mahsa Zabara, Heinz Amenitsch, and Stefan Salentinig<br>ACS Appl. Mater. Interfaces 2024, 16, 44, 61262–61271 (DOI 10.1021/acsami.4c12125)</p> <p>Setup and conditions for the experiments are described in the experimental section of the published manuscript.</p> <p>Data description in README.txt file.</p>
Structure-Dependent Influence of Moisture on Resistive Switching Behavior of ZnO Thin Films - Dataset
<p>This is the dataset of "Structure-Dependent Influence of Moisture on Resistive Switching Behavior of ZnO Thin Films"</p>
BeMAGIC_Nanoporous films and ultra-thin films for magnetoionics and surface charging experiments
<p>BeMAGIC ITN (GA861145)_Nanoporous films and ultra-thin films for magnetoionics and surface charging experiments. Results from UAB, IFW, TUC, KIT, SPIN-ION, TTS</p>
FDTD simulation of various thickness PAAO with 20 nm Au film in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 250/280/310/340/370/400 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 20 nm thickness (<em>hA</em>) gold (Johnson and Christy) layer. The pores extend through both PAAO and Au layers as it was observed in SEM images.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3; 1.32; 1.33; 1.34.</p> <p>Simulation region: from 100 nm below the substrate/PAAO interface to 700 nm above gold film surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 30 nm below the PAAO to 30 nm above Au; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 250 nm above Au film; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 500 nm above Au; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>pol</em> - polarization; <em>hA</em> - thickness of Au film; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.jpg</em>" - a schematic of modeled structure. (6) "<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files.</p>
Data set. Optical properties. J-aggregate:PVA polaritonic films.
<p>Optical properties (real and imaginary part of permittivity) of J-aggregate:PVA materials analysed in manuscript entitled "Bio-inspired building blocks for all-organic metamaterials from visible to near-infrared". </p> <p>arXiv preprint arXiv:2210.02315</p> <p> </p> <p> </p> <p> </p>
Surface acoustic wave resonators on thin film piezoelectric substrates in the quantum regime - data archive
<p>The Archive contains all raw and processed (fitted) data that is used in the manuscript "surface acoustic wave resonators on thin film piezoelectric substrates in the quantum regime" submitted to IOP Materials for quantum technology.</p>
Spinodal dewetting of liquid-liquid thin-films
<p>The spinodal dewetting of a thin liquid polystyrene (PS) film from a liquid polymethylmethacrylate (PMMA) substrate is investigated experimentally and theoretically. Comparing experimental results of the evolving PS-air and PS-PMMA interfaces with the predictions from linear stability analysis shows that both spinodal wavelength and rupture times deviate unexpectedly. The key factor for this discrepancy is the altered mode selection process due to the initial surface roughness of the liquid-air and liquid-liquid interfaces perturbed by partially correlated colored noise in the linearly unstable region. The strong impact of noise on the mode selection and on the rupture time is clearly demonstrated through long-time numerical solutions of the full nonlinear model when compared to experimental results. This strong impact of noise is relevant only for liquid bilayers, and not for spinodal dewetting on solids, due to the presence of two moving interfaces and calls for new strategies to incorporate also thermal fluctuations into the modelling of those systems. </p>
Protected ultrathin cuprous oxide film for photocatalysis: Excitation and relaxation dynamics
<p>The main data analysis was done with Wavemetrics Igor Pro 7.08 using user-defined macros. Data files given in *.itx<br> format are human-readable text files that can be opened in Igor Pro. User-defined macros are available from the<br> authors upon reasonable request. Static spectra are measured with the proprietary "Croissant" software for the<br> channeltron analyzer and saved in human-readable *.plsp format, or SpecsLab Prodigy 4.60.1 for the 2D analyzer and<br> saved in the proprietary SPECS *.sle format or exported into *.itx format. Time-resolved spectra are measured with a<br> proprietary LabView program and exported in the binary HDF5 *.h5 file format.</p> <p><br> ******************************************** Fig. 1 LEED and He Ia ARPES ********************************************<br> LEED images taken with SBIG STF-8300 CCD Camera, the SBIG format is a 16-bit grayscale bitmap with metadata.<br> Fig. 1a: LEED image at 120 eV<br> LEED220210_120eV_Cu111_hBN_Cu2O.SBIG<br> Fig. 1b: LEED image at 48 eV<br> LEED220210_048eV_Cu111_hBN_Cu2O.SBIG</p> <p>other energies (not shown in the figure): see Fig. S2/S3</p> <p>Fig. 1c: He Ia spectrum second derivative as function of parallel momentum and binding energy<br> Spectra measured with VG ESCALAB 220 channeltron hemispherical analyzer by tilting the sample at two fixed azimuthal<br> angles and using a Gammadata VUV 5050 monochromated helium lamp. The azimuthal angles correspond to the M and K<br> directions, respectively, as determined by x-ray photoelectron diffraction of the Cu(111) surface. Measurement<br> parameters are given in the files.<br> Positive parallel momentum: M direction, VG2Z220628N015.plsp<br> Negative parallel momentum: K direction, VG2Z220628N016.plsp<br> Combined ARPES spectrum as a function of parallel momentum and binding energy: VG2Z220628N015_N016.itx<br> Second derivative along energy direction: VG2Z220628N015_N016d.itx; smoothed: VG2Z220628N015_N016d_smth.itx</p> <p><br> ************************************************ Fig. 2 He IIa ARPES ************************************************<br> All ARPES spectra measured with SPECS Phoibos 150 WAL hemispherical analyzer (2D detector) using SpecsLab Prodigy<br> software and non-monochromated helium lamp.</p> <p>Fig. 2a: Detail of He IIa spectrum measured on h-BN/Cu(111)<br> Full angle-resolved spectrum (intensity as function of angular coordinate and kinetic energy), summed over all energy<br> channels and scans, exported from SpecsLab Prodigy as Igor Text. All measurement parameters are given in the file.<br> Spectrum HeIIa h-BN Cu111 20201023.itx<br> Spectrum scale converted into parallel momentum and binding energy: Spectrum HeIIa h-BN Cu111 20201023 k2.itx</p> <p>Fig. 2b: Detail of He IIa spectrum measured on h-BN/Cu2O/Cu(111)<br> Full angle-resolved spectrum (intensity as function of angular coordinate and kinetic energy), summed over all energy<br> channels and scans, exported from SpecsLab Prodigy as Igor Text. All measurement parameters are given in the file.<br> Spectrum HeIIa h-BN Cu2O Cu111 20220211.itx<br> Spectrum scale converted into parallel momentum and binding energy: Spectrum HeIIa h-BN Cu2O Cu111 20220211 k2.itx</p> <p>Fig. 2c: Spectra integrated over given parallel momentum range<br> Intensity as a function of binding energy<br> Spectrum HeIIa h-BN Cu111 20201023 k2 042_092.txt<br> Spectrum HeIIa h-BN Cu2O Cu111 20220211 k2 041_091.txt</p> <p><br> ************************* Fig. 3 2PPE spectra of Cu(111), h-BN/Cu(111) and h-BN/Cu2O/Cu(111) *************************<br> Spectra measured with SPECS Phoibos 150 WAL hemispherical analyzer (2D detector) using SpecsLab Prodigy software and<br> exported as Igor Text. All measurement parameters are given in the files. 3eV wavelength was 412nm, p-polarized.<br> A -10V bias voltage was applied to the sample.<br> Cu(111) 2PPE: P=1mW, Cu111 2022-04-14_20h47m45s.itx<br> Cu(111) 3PPE: P=3mW, Cu111 2022-04-14_21h09m29s.itx<br> h-BN/Cu(111) 2PPE: P=1.0mW, 0.5mm entrance slit, Cu111 hBN Spectrum3eV_2B_ppol.itx<br> h-BN/Cu(111) 3PPE: P=0.4mW, 3.0mm entrance slit, Cu111 hBN Spectrum3eV_4B_ppol.itx<br> h-BN/Cu2O/Cu(111) 2PPE: P~0.1mW, Cu111 hBN Cu2O 2022-02-11_17h07m34s.itx<br> h-BN/Cu2O/Cu(111) 3PPE: P~0.1mW, Cu111 hBN Cu2O 2022-02-11_16h58m49s.itx</p> <p>************************************************* Fig. 4 Delay Scan *************************************************<br> Delay scans are recorded with proprietary LabView software and saved in binary HDF5 format as a 3D stack of<br> detector images (intensity as function of angular coordinate and kinetic energy) as a function of pump-probe delay.<br> Bias -5V, 3eV=413nm 0.3mW p-pol, 6eV=208nm 1nA p-pol, Ekin=11.9eV, Epass=20eV,<br> 1mm slit, exposure 10x500ms, 20 scans, 10fs steps<br> Raw data, 256 angular pixels x 348 energy pixels x 201 delays x 20 scans:<br> WAL_20220215_UZH_JB_dscan_040_0to9.h5<br> WAL_20220215_UZH_JB_dscan_040_10to19.h5<br> Sum of all scans (transposed):<br> WAL_20220215_UZH_JB_dscan_040_sum.h5<br> Cropped to active detector window and applied distortion correction and correct scaling:<br> dscan_20220215_040_data3Dcorrected.h5<br> Integrated over +-10° angular window: dscan040.itx<br> Background averaged over delay positions 0-19 subtracted and energy and delay scales corrected:<br> Fig. 4a: dscan040bgi0.itx<br> Delay scan with 50ps range and 0.2ps steps, not shown in figure but analyzed the same way: dscan041bgi.itx</p> <p>Fig. 4b: Intensity as a function of intermediate state energy<br> 50 fs, delay positions 40-50: dscan040t0mbg.txt<br> 1 ps, delay positions 140-150: dscan040t2mbg.txt<br> 10 ps, delay positions 55-65 in dscan041bgi: dscan041t3mbg.txt</p> <p>Fig. 4c: detector image obtained by averaging images at delay positions 40-50 and subtracting the background image,<br> then correcting the angular distortion by normalizing the intensity at the Fermi energy<br> dscan040image_diff0.itx</p> <p><br> ************************************************* Fig. 5 Fit Curves *************************************************<br> The Igor Pro batch fitting procedure was used with a custom fitting function to fit the delay scan dscan040bgi<br> binned in 0.1 eV intervals with index 0 at -0.3 eV.<br> The displayed curves have index 13 (1.0 eV), 6 (0.3 eV) and 4 (0.1 eV).</p> <p>Binned delay scan: dscan040bgi_pix.itx<br> Fit parameters: dscan040bgi_fitparams.txt<br> Fit result: dscan040bgi_pixRateFits.itx<br> Fast component: dscan040bgi_FastComponent.itx<br> Slow component: dscan040bgi_SlowComponent.itx</p> <p><br> ******************************************* Fig. 6 Fit Results Comparison *******************************************<br> Relaxation times are extracted from the batch fit results of different delay scans.<br> 3 nJ pump: dscan040bgi_fitparams.txt dscan_220215_040<br> 20 nJ pump: dscan010_BG4_fitparams.txt dscan220703_010<br> (data: dscan010_BG4.itx, binned: dscan010_BG4_pix.itx, fits: dscan010_BG4_pixFit.itx)<br> h-BN/Cu(111): dscan033_fitparams.txt<br> (binned data: dscan044_hBN_side_pix1.itx, fits: dscan033_hBN_side_pixFits.itx)<br> Lisowski et al.: LifetimesLisowski.txt<br> (data from M. Lisowski, P. A. Loukakos, U. Bovensiepen, and M. Wolf, Femtosecond Dynamics and Transport of Optically<br> Excited Electrons in Epitaxial Cu Films on Si(111)-7 x 7, Appl. Phys. A 79, 739 (2004))<br> Extrapolation: fit_LifetimesLisowski.txt, using power law tau=0.054797*E^(-1.1419)</p> <p><br> **************************************************** Fig. S1 XPS ****************************************************<br> Preparation 1 before oxidation: Preparation 1 after oxidation: Preparation 2 after oxidation:<br> B 1s: VG2Z220209N005.pesp B 1s: VG2Z220210N023.pesp B 1s: VG2Z220628N002.pesp<br> N 1s: VG2Z220209N006.pesp N 1s: VG2Z220210N024.pesp N 1s: VG2Z220628N003.pesp<br> C 1s: VG2Z220209N007.pesp C 1s: VG2Z220210N025.pesp C 1s: VG2Z220628N004.pesp<br> O 1s: VG2Z220209N008.pesp O 1s: VG2Z220210N026.pesp O 1s: VG2Z220628N005.pesp<br> Cu 2p:VG2Z220209N009.pesp Cu 2p:VG2Z220210N027.pesp Cu 2p:VG2Z220628N006.pesp</p> <p><br> **************************************************** Fig. S2 LEED ****************************************************<br> 48 eV: LEED220209_048eV_Cu111_hBN.SBIG<br> 70 eV: LEED220209_070eV_Cu111_hBN.SBIG<br> 100 eV: LEED220209_100eV_Cu111_hBN.SBIG<br> not shown in figure:<br> 40 eV: LEED220209_040eV_Cu111_hBN.SBIG<br> 120 eV: LEED220209_120eV_Cu111_hBN.SBIG</p> <p><br> **************************************************** Fig. S3 LEED ****************************************************<br> 40 eV: LEED220210_040eV_Cu111_hBN_Cu2O.SBIG<br> 48 eV: LEED220210_048eV_Cu111_hBN_Cu2O.SBIG<br> 70 eV: LEED220210_070eV_Cu111_hBN_Cu2O.SBIG<br> 100 eV: LEED220210_100eV_Cu111_hBN_Cu2O.SBIG<br> 120 eV: LEED220210_120eV_Cu111_hBN_Cu2O.SBIG<br> 150 eV: LEED220210_150eV_Cu111_hBN_Cu2O.SBIG</p> <p><br> **************************************************** Fig. S4 LEED ****************************************************<br> 40 eV: LEED220628_040eV_Cu111_hBN_Cu2O.SBIG<br> 48 eV: LEED220628_048eV_Cu111_hBN_Cu2O.SBIG<br> 70 eV: LEED220628_070eV_Cu111_hBN_Cu2O.SBIG<br> 100 eV: LEED220628_100eV_Cu111_hBN_Cu2O.SBIG<br> 110 eV: LEED220628_110eV_Cu111_hBN_Cu2O.SBIG<br> 140 eV: LEED220628_140eV_Cu111_hBN_Cu2O.SBIG<br> 180 eV: LEED220628_180eV_Cu111_hBN_Cu2O.SBIG<br> not shown in figure:<br> 120 eV: LEED220628_120eV_Cu111_hBN_Cu2O.SBIG<br> 150 eV: LEED220628_150eV_Cu111_hBN_Cu2O.SBIG</p> <p><br> ********************************************* Fig. S5 Work function maps *********************************************<br> Ekin=10.4eV, Epass=20eV, 6eV=208.5nm 0.2nA p-pol, 1mm slit, -5V bias, exposure 1x500ms, 0.1mm steps, 81x81 pixels<br> Preparation 1:<br> Data cube after lens correction and correct scaling: dscan_220221_003_data3Dcorrected.h5<br> Integrated over all angles and brought into raster format: dscan_220221_003_raster.h5<br> Work function map: dscan_220221_003_rasterWF.itx<br> Inset: Photograph of the sample after preparation 1, "Photograph hBN Cu2O Cu.png"<br> Preparation 2:<br> Data cube after lens correction and correct scaling: dscan_220704_011_data3Dcorrected.h5<br> Integrated over all angles: dscan_220704_011_raster.h5<br> Work function map: dscan_220704_011_rasterWF.itx</p> <p><br> ************************************************ Fig. S6 Delay Scans ************************************************<br> See description of Fig. 4 for processing details. Pump power was measured with a thermal powermeter and probe power<br> was measured with a Thorlabs SM05PD7A GaP-photodiode with 14.4 mA/W sensitivity at 208nm.<br> The thermal powermeter has an accuracy of +-0.1mW.<br> 1.0mW pump power at 100kHz repetition rate equals 10nJ pulse energy.<br> 1.0nA photodiode current equals approximately 70nW probe power or 0.7 pJ probe energy.</p> <p>Common settings: Bias voltage -5V, exposure time 20x500ms, 20 scans, 20fs steps, entrance slit size 1mm,<br> Pass energy 20eV, Kinetic energy 11.9 eV, pump wavelength 413nm, pump and probe beam are p-polarized.<br> Differing settings are written for each dataset.</p> <p>Fig. S6a: dscan_220215_040/dscan040bgi0.itx, processed raw data: dscan_220215_040_data3Dcorrected.h5<br> 0.3mW pump, 208nm 1.0nA probe, 10fs steps, exposure 10x500ms<br> Fig. S6b: dscan_220217_045/dscan045bgi.itx, processed raw data: dscan_220217_045_data3Dcorrected.h5<br> 0.3mW pump, 208nm 1.0nA probe, 10fs steps, Ekin=13.3eV, Epass=30eV, 7mm slit, 50 scans<br> Fig. S6c: dscan_220216_041/dscan041bgi.itx, processed raw data: dscan_220216_041_data3Dcorrected.h5<br> 0.3mW pump, 208nm 1.0nA probe, 200fs steps, exposure 10x500ms, 10 scans</p> <p><br> ************************************************ Fig. S7 Delay Scans ************************************************<br> Common settings: same as in Fig. S6</p> <p>Fig. S7a: dscan_220701_020/dscan020bgi0.itx, processed raw data: dscan_220701_020_data3Dcorrected.h5<br> 0.5mW pump, 209nm 0.9nA probe, 3mm slit<br> Fig. S7b: dscan_220712_029/dscan029_BG.itx, processed raw data: dscan_220712_029_data3Dcorrected.h5<br> 1.5mW pump, 209nm 1.0nA probe<br> Fig. S7c: dscan_220703_010/dscan010_BG4.itx, processed raw data: dscan_220703_010_data3Dcorrected.h5<br> 2.0mW pump, 209nm 0.9nA probe<br> Fig. S7d: dscan_220417_033/dscan033_hBN_side0.itx, processed raw data: dscan_220417_033_data3Dcorrected.h5<br> 1.0mW pump, 208nm 0.1nA probe, Ekin=11.8eV, 40 scans</p> <p><br> *********************************************** Fig. S8 Beam profiles ***********************************************<br> 8-bit CCD images were acquired with a Basler puA1280-54um CCD camera and Basler pylonViewer 5.0 acquisition software.<br> Sensor resolution: 1280x960, pixel size: 3.75x3.75 micrometers<br> 3 eV image: 10 microseconds exposure time, Spot3eV 10us 20mm.bmp<br> 6 eV image: 100 milliseconds exposure time, Spot6eV 100ms 20mm.bmp</p>
Magnetic soap films
<p>This repository contains the 4k videos recorded in experiments studying soap films and magnetic soap films relevant to the paper <a href="http://doi.org/10.1063/5.0146164">The stability of magnetic soap films</a>.</p> <p>The filename and title slide of each video describes the film composition and the experimental configuration. Some examples are given to clarify what the filenames mean:</p> <ul> <li>solA_soap_2.mp4 - a soap film created from solution A. The '2' is an arbitrary counter for films of the same type in the same configuration.</li> <li>solA_ferro_Y066_3.mp4 - a magnetic soap film created from solution A with a mass fraction of ferrofluid Y = 0.066 without a magnetic field applied.</li> <li>solA_magnet_Y020_5.mp4 - a magnetic soap film created from solution A with a mass fraction of ferrofluid Y = 0.020 with a magnetic field applied.</li> </ul> <p>In the title slides of each video, <span>\(H_{\mathrm{a}} \neq 0\)</span> indicates that a magnetic field is applied and <span>\(H_{\mathrm{a}} = 0\)</span> indicates that a magnetic field is not applied. Please refer to the <a href="http://doi.org/10.1063/5.0146164">The stability of magnetic soap films</a> for additional details.</p>
5D-NP-FABTECH_FSG - Open Dataset for "Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films"
<p>This is the open dataset for the paper: "Ottomaniello Andrea, Paolo Vezio, Omar Tricinci, Frank Marco den Hoed, Paul Dean, Alessandro Tredicucci and Virgilio Mattoli, Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films, On line (2023) [DOI:10.5281/zenodo.7838033]".</p> <p>This include the Supplementary Information file ("suppl_j_nanoph-2022-0667_suppl.pdf"), all the source material used for the paper preparation and more. </p> <p>For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata</p>
Full western blot films related to Figure S3B
<p>This dataset contains the full Western blot films obtained to detect the presence of human dystrophin in Healthy control human induced pluripotent stem cells (hiPSCs), as they were differentiated into skeletal muscle cells, and to validate the gene editing strategy in a line of hiPSCs where the DMD gene (encoding dystrophin) was mutated by CRISPR Cas 9. Briefly, this data helped demonstrate that dystrophin is expressed only at Day 25 (D25) in Healthy hiPSCs, but not from Day 0 to Day 10. In contrast, the protein is not detected at any time point in edited cells, which validates the presence of the mutation.</p> <p>Each film includes manually written numbers "1." and "2.". For each protein target, panel 1. was obtained from teh Healthy control hiPSC line and panel 2. was obtained from the CRISPR line. The sample positionon the gels is as follows:<br> --- Positive control (3 bands) --- Negative control --- Ladder --- hiPSC D0 --- hiPSC D3 --- hiPSC D7 --- hiPSC D10 --- hiPSC D25 ---<br> The ubiquitous proteins GAPDH and alpha-tubulin are used as loading controls. Each protein was revealed on several films with various exposure times, indicated on the topright corner of the film. Each film were obtained from the same gels, after cutting the membrane in fragments according to protein target size.</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.