Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
21
datasets available to search
ShareScore release 0.9.0
Dataset results
21 results for “oxide films”
Datasets supporting the publication "Technical Note: in-situ measurements and modelling of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Milsom et al.
<p>Supporting experimental and modelling data for the manuscript entitled "Technical Note: Modelling and in-situ measurements of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Adam Milsom et al. 2023. </p> <p>Includes raw QCM-D data with the numbers at the beginning of the files corresponding to the experiment numbers in the manuscript. </p> <p>Normalised Raman peak area data for modelling and model ensemble outputs, including uptake coefficients. </p>
Reversible H2 oxidation and evolution by hydrogenase embedded in a redox polymer film
<p>This data set contains the source data of the nature catalysis manuscript NATCATAL-20033655A.</p> <p>All files are named according to the respective figure numbers of the manuscript. </p>
Reversible H2 oxidation and evolution by hydrogenase embedded in a redox polymer film
<p>This Upload contains the source data sets of all measurements shown in the Nature Catalysis manuscript NATCATAL-20033655A.</p> <p>All folder and file names correspond to the respective figure numbers of the manuscript.</p>
Data of "H2S dosimeter with controllable percolation threshold based on semi-conducting copper oxide thin films" published in JSSS 2017
<p>Raw data to the Paper "H2S dosimeter with controllable percolation threshold<br> based on semi-conducting copper oxide thin films" published in "Journal of Sensors and Sensor Systems".</p> <p>Acknowledgement and Funding in the txt.file</p>
Data of paper Controlling the interfacial reactions and environment of rare-earth ions in thin oxide films towards wafer-scalable quantum technologies
<p>Data of the figures in the paper :</p> <p>N. Harada, A. Tallaire, D. Serrano, A. Seyeux, P. Marcus, X. Portier, C. Labbé, P. Goldner, and A. Ferrier, <em>Controlling the Interfacial Reactions and Environment of Rare-Earth Ions in Thin Oxide Films towards Wafer-Scalable Quantum Technologies</em>, Mater. Adv. <strong>3</strong>, 300 (2022). doi: 10.1039/D1MA00753J</p>
Dataset for publication "Effects of Y and Ho doping on microstructure evolution during oxidation of extraordinary stable Hf-B-Si-Y/Ho-C-N films up to 1500 °C" in Materials & Design 237, (2024), 112589.
<p>Dataset for publication "Effects of Y and Ho doping on microstructure evolution during oxidation of extraordinary stable Hf-B-Si-Y/Ho-C-N films up to 1500 °C" in Materials & Design Volume 237, January 2024, 112589, DOI 10.1016/j.matdes.2023.112589.</p> <p>XRD patterns, SAED patterns, EDS spectra, TEM images, HRTEM images.</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>
Reversible H2 Oxidation and Evolution by Hydrogenase Embedded in a Redox Polymer Film - Original Data
<p>Original data files of the Nature catalysis manuscript submission NATCATAL-20033655A. The data is named according to the corresponding figure captions of teh manuscript main text and the supporting information. A text document lists the figure titles that corresponds to the figure numbers. Fig1, Scheme S1, Scheme S2, FigS 51 are general schemes without any underlying data and are, therefore, not listed here.</p>
Oxidation of thin films at the air-water interface of atmospheric aerosol
<p>X-ray reflectivity data (reflectivity vs Q) for the oxidation of insoluble organic material at the air-water interface. The organic material was extracted from atmospheric aerosol and sea water samples. The organic material was reacted with gas-phase ozone and aqueous phase hydroxyl radicals. The reflectivity data was collected at the Diamond Light source on I07 in May 2013 (SI8744) and April 2014 (SI9632) funded by STFC and NERC. The data supports a publication in Atmospheric Environment entitled “Are organic films from atmospheric aerosol and sea water inert to oxidation by ozone at the air-water interface?"</p>
Solution-Based Synthesis of Oxide-Free MoS2 Film: Exploring Interface Mechanisms
<p>We present a novel method for synthesizing oxidation-free MoS2 films, focusing on interface mechanisms. By utilizing a sulfurization-free solution process and single-step annealing, we fabricate films on Si3N4 surfaces with improved uniformity, exhibiting surface roughness below 0.5 nm and a 4 nm thickness at a precursor concentration of 30 mM, annealed between 700 and 800ºC. Characterization reveals a hexagonal lattice structure with crystallographic orientations of (1 1 0 0) and (1 2 1 0), featuring lattice spacings of 0.27 nm and 0.16 nm, respectively. XPS analysis on SiO2 substrates shows migration of oxygen species, evidenced by a Si 2p spectrum shift to binding energies between 102.6 eV and 102.8 eV. MoS2 films on Si3N4 exhibit a complex Si 2p peak evolution between 100.9 eV and 101.8 eV, providing insights into oxide-free MoS2 film synthesis for advanced electronic devices. This dataset includes all the raw data associated with this study.</p>
9-10-1288 Does the viscosity of the sub-phase effect the oxidation kinetics of surface active films on "glassy" cloud droplets
<p>Binned Neutron reflectivity data for the titled experiment.</p>
Reproduction, growth and oxidative stress in the earthworm Eisenia andrei exposed to conventional and biodegradable mulching film microplastics
<p>Dataset on Earthworm (<em>Eisenia andrei</em>) exposed to <span>of low-density polyethylene microplastics (PE-MP) and polybutylene adipate terephthalate biodegradable microplastics (PBAT-BD-MP) originating from mulching films. The study utilized seven concentrations (0, 0.005, 0.05, 0.1, 0.5, 1, and 5% w/w) in five replicates. Survival, growth, and oxidative stress responses of the earthworms were analysed after four weeks of exposure. Measured biomarker responses were superoxide dismutase, catalase, glutathione reductase, glutathione S-transferase, glutathione, and lipid peroxidation. Additionally, the Integrated Biomarker Response Index (IBR) was conducted to assess the overall oxidative stress status of the earthworms. The number of biomass of the juveniles were recorded after four additional weeks. The total length of the experiment was eight weeks. Soil water holding capacity (WHC) was analysed in the beginning of the experiment and soil pH in the beginning and end of the experiment. The study was conducted at the Finnish Environment Institute (Syke) Under project PAPILLONS (EU Horizon). </span></p>
A statistical method to optimize the chemical etching process of Zinc Oxide thin films
<p>Zinc Oxide (ZnO) is an attractive material for micro and nanoscale devices. Its desirable semiconductor, piezoelectric, and optical properties <span>make</span> it useful in applications ranging from microphones to missile warning systems to biometric sensors. This work introduces a demonstration of blending statistics and chemical etching of thin films to identify the dominant factors, and interaction between factors, and <span>develop</span> statistically enhanced models on etch rate and selectivity of ZnO thin films. Over other mineral acids, ammonium chloride (NH<sub>4</sub>Cl) solutions <span>have</span> commonly been used to <span>wet</span> etch microscale ZnO devices because of their controllable etch rate and near-linear behavior. <span>Etchant</span> concentration and temperature were found to <span>have</span> a significant effect on etch rate. Moreover, this is the first demonstration that has identified multifactor interactions between temperature and concentration and between temperature and agitation. A linear model <span>was</span> developed relating etch rate and its variance against these significant factors and multifactor interactions. An average selectivity of 73:1 <span>was </span>measured with none of the experimental factors having a significant effect on the <span>selectivity. </span>This statistical study captures the significant variance observed <span>by</span> other researchers. <span>Furthermore,</span> it enables statistically enhanced microfabrication processes for other materials.</p>
Direct electrochemical reduction of graphene oxide thin film for aptamer-based selective and highly sensitive detection of matrix metalloproteinase 2
<p>Simple and low-cost biosensing solutions are suitable for point-of-care applications aiming to overcome the gap between scientific concepts and technological production. To compete with sensitivity and <a title="Learn more about selectivity from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/selectivity">selectivity</a> of golden standards, such as <a title="Learn more about liquid chromatography from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/materials-science/liquid-chromatography">liquid chromatography</a>, the functionalization of biosensors is continuously optimized to enhance the signal and improve their performance, often leading to complex chemical assay development. In this research, the efforts are made on optimizing the methodology for <a title="Learn more about electrochemical reduction from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/materials-science/electrochemical-reaction">electrochemical reduction</a> of <a title="Learn more about graphene oxide from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/chemistry/graphene-oxide">graphene oxide</a> to produce thin film-modified gold electrodes. Under the employed specific conditions, 20 cycles of <a title="Learn more about cyclic voltammetry from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/cyclic-voltammetry">cyclic voltammetry</a> (CV) are shown to be optimal for superior electrical activation of <a title="Learn more about graphene oxide from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/materials-science/graphene-oxide">graphene oxide</a> into electrochemically <a title="Learn more about reduced graphene oxide from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/materials-science/reduced-graphene-oxide">reduced graphene oxide</a> (ERGO). This platform is further used to develop a <a title="Learn more about matrix metalloproteinase 2 from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/mmp2">matrix metalloproteinase 2</a> (MMP-2) biosensor, where specific anti-MMP2 <a title="Learn more about aptamers from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/aptamer">aptamers</a> are utilized as a biorecognition element. MMP-2 is a protein which is typically overexpressed in tumor tissues, with important roles in tumor invasion, metastasis as well as in tumor <a title="Learn more about angiogenesis from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/angiogenesis">angiogenesis</a>. Based on impedimetric measurements, we were able to detect as low as 3.32 pg mL<sup>−1</sup> of MMP-2 in PBS with a dynamic range of 10 pg mL<sup>−1</sup> – 10 ng mL<sup>−1</sup>. Further experiments with real blood samples revealed a promising potential of the developed sensor for direct measurement of MMP-2 in complex media. High specificity of detection is demonstrated – even to the closely related <a title="Learn more about enzyme from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/enzyme">enzyme</a> MMP-9. Finally, the potential of reuse was demonstrated by signal restoration after experimental detection of MMP-2.</p>
A statistical method to optimize the chemical etching process of Zinc Oxide thin films
Open the record for dataset details and reuse information.
Data from: Influence of the slight adjustment of oxides on the structural and physico-chemical properties of thin film transistor-liquid crystal display substrate glass
Open the record for dataset details and reuse information.
Data from: Photocatalytic activity of graphene oxide–TiO2 thin films sensitized by natural dyes extracted from Bactris guineensis
This study synthesized and characterized composites of graphene oxide and TiO2 (GO-TiO2). GO-TiO2 thin films were deposited using the Doctor Blade technique. Subsequently, the thin films were sensitized with a natural dye extracted from a Colombian source (Bactris guineensis). Thermogravimetric analysis, X-ray diffraction, Raman spectroscopy, scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and diffuse reflectance measurements were used for physicochemical characterization. All the samples were polycrystalline in nature, and the diffraction signals corresponded to the TiO2 anatase crystalline phase. Raman spectroscopy and FT-IR verified the synthesis of composite thin films, and the SEM analysis confirmed the TiO2 films morphological modification after the process of GO incorporation and sensitization. XPS results suggested a possibility of appearance of Titanium (III) through the formation of oxygen vacancies (Ov). Furthermore, the optical results indicated that the presence of the natural sensitizer and GO improved the optical properties of TiO2 in the visible range. Finally, the photocatalytic degradation of Methylene Blue (MB) was studied under visible irradiation in aqueous solution, and pseudo-first order model was used to obtain kinetic information about photocatalytic degradation. These results indicated that the presence of GO has an important synergistic effect in conjunction with the natural sensitizer, reaching a photocatalytic yield of 33%.
Data from: Photocatalytic activity of graphene oxide–TiO2 thin films sensitized by natural dyes extracted from Bactris guineensis
Open the record for dataset details and reuse information.
RB920160The gas-phase oxidation of mixed organic films at the air-water interface testing for cloud climate effects in more representative proxies
<p>Binned neutron reflectivity data for titled experiment.</p>
RB1310383 Does the viscosity of the sub-phase effect the oxidation kinetics of surface active films on "glassy" cloud droplets? Concept Proof
<p>Binned neutron reflectivity data for the above experiment.</p>
ScienceDex guides
Understand access before you commit
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.