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647 results for “Silicon”
Bottom-illuminated photothermal nanoscale chemical imaging with a flat silicon ATR in air and liquid (data evaluation)
<p>This record contains a docker image for data evaluation of AFM-IR data for our publication 'Bottom-illuminated photothermal nanoscale chemical imaging with a flat silicon ATR in air and liquid'. The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Bottom_illuminated_PTIR.ipynb'.</p> <p>To run the container (requires docker):</p> <p>1.download 'container.tar.gz'</p> <p>2. in the command line, execute 'docker load -i container.tar.gz'. This will return something like 'Loaded image: <image_name>'</p> <p>3. then 'docker run -p 8888:8888 <image_name>' replacing the brackets with the actual name of the image, such as paper_bottom_illuminated:submission</p> <p>4.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation.</p>
Measurement and simulation of optical properties of nanostructured silicon heavily implanted with selenium
<p><strong>Summary:</strong></p> <p>This is the collection of datasets used to plot the line art figures for the journal paper “Extended Infrared Absorption in Nanostructured Si Through Se Implantation and Flash Lamp Annealing”.</p> <p><strong>Methods:</strong></p> <p>The experimental and calculation methods for generating the datasets are described in the original paper and in the supplementary materials.</p> <p><strong>File Description:</strong></p> <ul> <li>The filenames for all files match the figure captions from the original paper and supplementary materials.</li> <li>Each file represents a specific plot, with all files provided in CSV format.</li> <li>Each column in the file represents a set of variable data.</li> <li>The datasets corresponding to each curve can be identified by comparing the first-row header information with the figure legend.</li> </ul> <p><strong>Credit:</strong></p> <p>When using the dataset/figures, please cite the original paper as: Radfar, B., Liu, X., Berencén, Y., Shaikh, M.S., Prucnal, S., Kentsch, U., Vähänissi, V., Zhou, S. and Savin, H. (2024), Extended Infrared Absorption in Nanostructured Si Through Se Implantation and Flash Lamp Annealing. Phys. Status Solidi A 2400133. <a title="https://doi.org/10.1002/pssa.202400133" href="https://doi.org/10.1002/pssa.202400133" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/pssa.202400133</a></p>
Decoupling silicon metabolism from carbon and nitrogen assimilation poises diatoms to exploit episodic nutrient pulses in a coastal upwelling system
<p>Diatoms serve as the major link between the marine carbon (C) and silicon (Si) biogeochemical cycles through their contributions to primary productivity and requirement for Si during cell wall formation. Although several culture-based studies have investigated the molecular response of diatoms to Si and nitrogen (N) starvation and replenishment, diatom silicon metabolism has been understudied in natural populations. A series of deckboard Si-amendment incubations were conducted using surface water collected in the California Upwelling Zone near Monterey Bay. Steep concentration gradients in macronutrients in the surface ocean coupled with substantial N and Si utilization led to communities with distinctly different macronutrient states: replete ('healthy'), low N ('N-stressed'), and low N and Si ('N- and Si-stressed'). Biogeochemical measurements of Si uptake combined with metatranscriptomic analysis of communities incubated with and without added Si were used to explore the underlying molecular response of diatom communities to different macronutrient availability. Metatranscriptomic analysis revealed that N-stressed communities exhibited dynamic shifts in N and C transcriptional patterns suggestive of compromised metabolism. Expression patterns in communities experiencing both N and Si stress imply that the presence of Si stress may partially ameliorate N stress and dampen the impact on organic matter metabolism. This response builds upon previous observations that the regulation of C and N metabolism is decoupled from Si limitation status, where Si stress allows the cell to optimize the metabolic machinery necessary to respond to episodic pulses of nutrients. Several well-characterized Si-metabolism associated genes were found to be poor molecular markers of Si physiological status; however, several uncharacterized Si-responsive genes were revealed to be potential indicators of Si stress or silica production.</p>
Plant silicon content as a proxy for understanding plant community properties and ecosystem structure
<p>Main dataset from the paper entitled "Plant silicon content as a proxy for understanding plant community properties and ecosystem structure".</p>
Data_paper_Influence of buffer/protective layers on the structural and magnetic properties of SmCo films on Silicon
<p>Integration of Samarium Cobalt hard magnets on silicon requires buffer/protective layers that can enhance the magnetic properties of the magnet while preserving its structure and chemical composition after post-annealing treatments needed for the formation of the magnetically hard phase. In this work, a comparison of Samarium-Cobalt films for five different buffer/protective layers, namely Ti, W, TiW, Ta, Cr and two different annealing temperatures, 650°C and 750°C, is presented. Depending on materials and annealing temperatures, magnetic properties such as saturation and coercivity of the SmCo film can be finely tuned. We show that coercivity up to 3.65 T or saturation magnetization up to 0.95 T can be reached by proper choice of the relevant process parameters: deposition temperature, material for the buffer/protective layer and annealing temperature. Such value of coercivity is among the highest found in literature for thin films of SmCo.</p>
Global Silicon Wafer Market 2024 to 2033
<p><a href="https://www.custommarketinsights.com/report/silicon-wafer-market/" target="_blank" rel="noopener">Silicon Wafer Market Size</a>, Trends and Insights By Wafer Size (Less than 150 mm, 200 mm, 300 mm, 450 mm), By Application (Consumer Electronics, Automotive, Industrial, Telecommunications, Solar Cells), By Node Type (180 nm, 130 nm, 90 nm, 65 nm, 45 nm, 22 nm, 14 nm, 7 nm, 5 nm and below), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</p> <p><strong>Reports Description</strong></p> <p>The CMI Team’s most recent market research predicts that from 2024 to 2033, the global <a href="https://www.custommarketinsights.com/report/silicon-wafer-market/" target="_blank" rel="noopener"><strong>silicon wafer market</strong></a> will grow at a CAGR of 6.3%. In 2024, the market size is projected to reach a valuation of USD <strong>20 Billion</strong>. By 2033, the valuation is anticipated to reach USD <strong>34 Billion</strong><strong>.</strong></p> <p>Excellent optimism surrounds the growth of this silicon wafer market, as one can witness an ever-increasing pattern in coming years. This is simply because demand for semiconductors will see an uprising in areas related to consumer electronics, automobiles, renewable energy, and many other advanced technologies, such as 5G and electric vehicles with an extremely high-performance requirement of silicon wafers.</p> <p>Manufacturers are now shifting to larger wafer sizes like 300 mm and 450 mm for better efficiency and cost-effectiveness in production. Furthermore, investments in research and development are continually being made, which results in better manufacturing processes and higher-quality wafers.</p> <p>As industries continue to innovate and integrate more electronic components into their products, the silicon wafer market is expected to grow rapidly. Overall, growth in the market is expected to be strong enough to provide opportunities for enhancements in production capacity for firms that can meet the evolving needs of consumers and commercial users.</p> <p>DOWNLOAD FREE SAMPLE Now at <a href="https://www.custommarketinsights.com/request-for-free-sample/?reportid=59008" target="_blank" rel="noopener">https://www.custommarketinsights.com/request-for-free-sample/?reportid=59008</a></p>
Time-Resolved Photoionization Detection of a Single Er3+ Ion in Silicon
<p>The data used for generating the plots in the manuscript and supporting information.</p>
Synthetic recovery of impulse propagation in myocardial infarction via silicon carbide semiconductive nanowires
<p><strong> DataSet for the publication "Synthetic recovery of impulse propagation in myocardial infarction via silicon carbide semiconductive nanowires"</strong></p> <p>Pre-processed Confocal data for Figure 3 and Supplementary Figure 3. Acquired with Leica SP8 Laser-Scanning Confocal Microscope</p> <p>Pre-processed HPICM raw data for Figure 2, Supplementary Figure 2 Acquired with Ionscope Hopping Software</p> <p>Pre-processed double-patch clamp data for Figure 2b-c. Acquired with Clampfit 10.6</p> <p>Pre-processed EP raw data for Figure 6-7-8, supplementary Figure 4. Acquired with Clampfit 10.6</p> <p>Post-processed Kinematic trajectories for Supplementary Figure 5, Supplementary Figure 6 acquired with Video Spot Tracker V 8.00</p> <p> </p> <p> </p> <p> </p>
A Comparison of Different Textured and Non-Textured Anti-Reflective-Coatings for Planar Monolithic Silicon-Perovskite Tandem Solar Cells
<p>Figure data for the paper: A Comparison of Different Textured and Non-Textured Anti-Reflective-Coatings for Planar Monolithic Silicon-Perovskite Tandem Solar Cells. Submitted to ACS Applied Energy Materials.</p>
NFFA-Europe|Pilot proporsal "NANO meets ASTRO: simulating the formation of silicon oxide nanoparticles in the atmosphere of dying stars" (PID: 140).
<p>XPS, IRRAS, QMS and OES data of the nanoparticles synthesized within the NFFA-Europe|Pilot proporsal "NANO meets ASTRO: simulating the formation of silicon oxide nanoparticles in the atmosphere of dying stars" (PID: 140).</p>
Figure 4: Nyquist diagrams ² 00 (!¿¾) = f(² 0 (!¿¾))T 166-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE
<p>Fig.4. This behaviour denotes that the EDL is not an ideally<br> capacitor, but also is not a disipative region, depending both on the EDL<br> thickness and the frequency range of the applied ¯eld [7]. The composition<br> (by thickness) of the EDL determines essentially the dielectric response of the<br> interface system. Compared with experimental results, the dielectric pro¯le<br> of this higher length scales model, can provides a more complet description of<br> the solvent properties for a given electrode.</p>
Figure 1: EDL structure for p-Si-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE
<p>Figure 1: EDL structure for p-Si (SCL negative charged,²F < ²FR )/aqueous<br> solvent interface. The electrostatic potential and charged atoms in solvent<br> distributions vs the distance z from the wall.</p>
Figure 3: The dependencies ² 00 (log !¿¾). The values are normalized at ² 00 max-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE
<p>Fig.3. The conductivity relaxation occurs at<br> lowing frequencies. The form of the ²<br> 00<br> (!) = f(²<br> 0<br> (!)) diagrams changes from<br> a vertical line (a), to any deformate semicircles (b, c, d) having the angle to<br> real axe below ¼<br> 2 , Fig.4. This behaviour denotes that the EDL is not an ideally<br> capacitor, but also is not a disipative region, depending both on the EDL<br> thickness and the frequency range of the applied ¯eld [7]. The composition<br> (by thickness) of the EDL determines essentially the dielectric response of the<br> interface system. Compared with experimental results, the dielectric pro¯le<br> of this higher length scales model, can provides a more complet description of<br> the solvent properties for a given electrode.</p>
Figure 2: The dependencies ² 0 (log !¿¾). The values are normalized at ² 0 max-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE
<p>The results of the model are shown that the frequency-dependences ²<br> 0<br> (log(!¿¾))<br> in Fig.2, ²<br> 00(log(!¿¾)) in Fig.3 and ²<br> 00<br> (²<br> 0<br> )T in Fig.4, where ²<br> 0<br> , ²<br> 00<br> are the real and<br> imaginary part, respectively, from (7), having the ¸D<br> ¸ ratio as parameter.</p>
Tensile tests results on artificially aged aluminum-magnesium-silicon alloy blanks subjected to different localized heat treatment strategies
<p>Tensile tests results on artificially aged aluminum-magnesium-silicon alloy blanks subjected to different localized heat treatment strategies </p>
Dataset: Silicon Laboratories Inc. (SLAB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Silicon Motion Technology Corporation (SIMO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 3 in Does silicon help to alleviate water deficit stress and in the recovery of Dipteryx alata seedlings?
Figure 3. Potential quantum efficiency of photosystem II - F V/FM (a and d), absorbed energy conversion efficiency - F V/F (b and e), basal 0 quantum production of non-photochemical processes - F 0 /FM (c), maximum chlorophyll-a fluorescence - FM (f) and initial fluorescence - F 0 (g) in D. alata seedlings produced under different water regimes (I: Irrigated; II: combined intermittent irrigation without and with 0.75 and 1.50 Si) in different evaluation periods (T0: time zero; P0: photosynthesis close to zero; REC: recovery: END: end of evaluations). Capital letters compare water regimes within each assessment period (Tukey; p <0.05); Lowercase letters compare the evaluation periods within each water regime. (Tukey; p <0.05).
Figure 2. Photosynthetic rate – A in Does silicon help to alleviate water deficit stress and in the recovery of Dipteryx alata seedlings?
Figure 2. Photosynthetic rate – A (a), intracellular CO concentration – C (b), transpiration – E (c), stomatal conductance – gs (d), intrinsic 2 i Rubisco A/C i carboxylation efficiency (e) and efficiency of water use – WUE (f) in D. alata seedlings produced under different water regimes (I: Irrigated; II: combined intermittent irrigation without and with 0.75 and 1. Si) in different evaluation periods (T0: zero time; P0: photosynthesis close to zero; REC: recovery: END: end of evaluations). Capital letters compare water regimes within each assessment period (Tukey; p <0.05); Lowercase letters compare the evaluation periods within each water regime. (Tukey; p <0.05).
Рис. 2. СреΑнее процентное соΑержание в гастроΛитах гусей основных грануΛометрических фракций зерен (сΛева) и их минераΛьных разновиΑностей (справа) Fig. 2. Average percentage of the main granulometric fractions of grains (left) and their mineral varieties (right) in goose gastroliths in The mineral composition of gastroliths in the stomachs of Anatidae in Primorsky Region and the importance of silicon minerals in the physiology of birds
Рис. 2. СреΑнее процентное соΑержание в гастроΛитах гусей основных грануΛометрических фракций зерен (сΛева) и их минераΛьных разновиΑностей (справа) Fig. 2. Average percentage of the main granulometric fractions of grains (left) and their mineral varieties (right) in goose gastroliths
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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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.