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638 results for “thinning”
Figure 3 from: Nalbantova V, Todorova V, Benbassat N, Delattre C (2024) Fenugreek galactomannan: High-Performance Thin-Layer Chromatography (HPTLC) method for identification and quantification of galactose and mannose. Pharmacia 71: 1-8. https://doi.org/10.3897/pharmacia.71.e118029
Figure 3 HPTLC profiles observed after derivatization of galactose and mannose, where tracks. 1. Galactose 200 ng/band; 2. Galactose 300 ng/band; 3. Galactose 500 ng/band; 4. Galactose 650 ng/band; 5. Galactose 800 ng/band; 6. Galactose 1000 ng/band; 7. Mannose 200 ng/band; 8. Mannose 300 ng/band; 9. Mannose 500 ng/band; 10. Mannose 600 ng/band; 11. Mannose 800 ng/band; 12. Mannose 1000 ng/band.
Figure 2 from: Nalbantova V, Todorova V, Benbassat N, Delattre C (2024) Fenugreek galactomannan: High-Performance Thin-Layer Chromatography (HPTLC) method for identification and quantification of galactose and mannose. Pharmacia 71: 1-8. https://doi.org/10.3897/pharmacia.71.e118029
Figure 2 HPTLC image taken after derivatization of galactose, mannose and fenugreek galactomannan, where tracks. 1. Galactose 200 ng/band; 2. Galactose 300 ng/band; 3. Galactose 500 ng/band; 4. Galactose 650 ng/band; 5. Galactose 800 ng/band; 6. Galactose 1000 ng/band; 7. Mannose 200 ng/band; 8. Mannose 300 ng/band; 9. Mannose 500 ng/band; 10. Mannose 600 ng/band; 11. Mannose 800 ng/band; 12. Mannose 1000 ng/band; 13. Hydrolyzed Fenugreek PS (diluted ×32); 14. Hydrolyzed Fenugreek PS (diluted ×16).
Chalcohalide Antiperovskite Thin Films with Visible Light Absorption and High Charge-Carrier Mobility Processed by Solvent-Free and Low-Temperature Methods
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Simulation of perovskite thin layer crystallization with varying evaporation rates
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Thin cloud removal dataset for Sentinel-2 images
<p>This is a thin cloud removal dataset for Sentinel-2A images in CR-GAN-PM[1] article. This dataset contains 20 paired thin cloud and clear Sentinel-2 images.</p> <p>If you use this dataset for your research, please cite us accordingly:</p> <p>#Reference: </p> <p>[1] J. Li, Z. W, Z. Hu, J. Z, M. Li, L. Mo and M. Molinier, “Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion,” ISPRS J. Photogramm. Remote Sens., vol. 166, pp. 373–389, Aug. 2020. <a href="http://doi.org/10.1016/j.isprsjprs.2020.06.021">http://doi.org/10.1016/j.isprsjprs.2020.06.021</a>.</p> <p><br> [2] J. Li, Z. Wu, Z. Hu, Z. Li, Y. Wang, and M. Molinier, “Deep learning based thin cloud removal fusing vegetation red edge and short wave infrared spectral information for Sentinel-2A imagery,” Remote Sens., vol. 13, no. 1, p. 157, Jan. 2021. <a href="http://doi.org/10.3390/rs13010157">http://doi.org/10.3390/rs13010157</a>.</p>
Coherent, atomically thin transition-metal dichalcogenide superlattices with engineered strain
<p>The sample is coherent WS<sub>2</sub>-WSe<sub>2</sub> superlattice (Xie, et al. Science 359, 1131-1136 (2018)). The datasets were collected by electron microscope pixel array detector (EMPAD) under the condition described in this paper (Han, et al. Nano Letters, 18, 3746-3751 (2018)). The rotation angle between the real space and diffraction space in these datasets is 37 degrees. The data have also been analyzed in our recent paper (arXiv:2111.06496) and a conference proceeding (Shi, et al. Microsc. Microanal. 27 Suppl 1, 2021). </p>
Bone thin sections of six Alvarezsaurian dinosaurs
<p>This dataset includes histological thin sections from long bones of six different Alvarezsaurian dinosaurs and labelled primary and secondary osteons.</p>
Nanoscale structural and mechanical characterization of thin bicontinuous cubic phase lipid films
<p>In the manuscript, Atomic Force Microscopy (AFM) and AFM-Force Spectroscopy (AFM-FS) are employed for obtaining the first nanomechanical characterization of bicontinuous cubic phase lipid film, presenting a thickness of 150 nm. </p>
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 05
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 05 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was negative by quantitative PCR. The recorded area shows the profiles of a few ciliated cells which are structurally impaired by vesiculation, probably due to the sampling and storage before fixation. Only few organelles are detectable, including nucleus and some of the mitochondria. The cells are surrounded by cellular debris and heterogenous material (e.g. membrane lamella, needle-like crystals, round profiles with a fine-fibrous matrix). Virus particles are not visible.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Development of a Method for Thermogalvanic Characterization of Li-Ion Electrodes: A Case Study in Thin-Film Anatase TiO2
<p>This dataset contains the raw data for the publication "Development of a Method for Thermogalvanic Characterization of Li-Ion Electrodes: A Case Study in Thin-Film Anatase TiO2" by Hubrechtsen et al, published in Chemistry of Materials. The upload includes all data for the original figures presented in the main paper and the supporting information, organized in labelled folders containing raw data and the corresponding figure. </p>
Adaptive Empirical Modeling Data for "Thin Current Sheet Formation and Reconnection at $X\sim$-10\,R$_E$ during the Main Phase of a Magnetic Storm"
<p>The ZIP file contains results of AM03 model run for the magnetic storm event on 17 June 2012. </p>
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate
<p>This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device. The dataset was collected from an experimental procedure of low-velocity, low-energy impact events that includes at least 3 repetitions for each unique experiment, while the input measurements come from 4 PZT sensors placed at the corners of the plate. For each repetition and sensor, 5000 values are stored with 100 KHz sampling rate. The system is excited with a steel ball, and the height from which it is released varies from 10 cm to 20 cm.</p> <p>To the best of our knowledge, we are the first, to publish a public dataset that contains PZT sensors measurements concerning low-velocity, low-energy impact events in a thin plastic plate. In addition, we also contribute with our methodology on data collection using an SHM IoT system with resource constraints (based on Arduino NANO 33 MCU), as opposed to the majority of the literature that uses Oscilloscopes for data acquisition. This concept of an MCU-based system for data collection in SHM is especially important nowadays, due to the fast rise of extreme-edge and embedded machine learning practices solutions that enable a variety of real-time data-driven SHM applications. Finally, we wish to highlight that by using this specific Microcontroller Unit (MCU) and sensors, the proposed implementation aims for an overall low-cost data collection solution.</p> <p>The dataset has been published as a dataset paper in 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022), in the following workshop: The Fifth International Workshop on Data: Acquisition To Analysis (DATA '22).</p> <p>The dataset is also available at https://github.com/Smart-Objects/Impact-Events-Dataset.</p>
Thin section, XRCT, permeability and MPF data
<p>Thin section, XRCT, permeability and MPF data</p>
Thin section, XRCT, permeability and MPF data for HIP
<h1>Thin section, XRCT, permeability and MPF data for HIP</h1> <div> <div> <div> </div> </div> </div>
Dataset for "Spatially resolved photoluminescence analysis of the role of Se in CdSexTe1−x thin films"
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Titanium dioxide (TiO2) thin films study, deposited by laser ablation on glass substrates in the form of prismatic figures type pyramidal
<p>Thin films are something that is very close to the atomic dimensions in thickness, therefore if it is possible to further reduce the width of these, in a controlled way and monitor the behavior of some physical law associated with the variation in thickness, the results can be as expected or maybe adjustments must be applied. For this reason in this work, thin films of titanium dioxide (TiO2) are studied, deposited by laser ablation, on glass substrates in the form of prismatic figures. The main objective was to confine the plasma plume to produce a continuous trail with varying thicknesses that could be analyzed. Growth times of the films were 5, 10, 15, 20 and 30 minutes at room temperature in a low vacuum. The deposited films presented a color pattern related to the expected thickness variation, thus the theory of optical interference was applied to the continuous trace to calculate thicknesses. Characterization process was carried out by: X-ray diffraction to know the crystalline structure of the films, ultraviolet-visible spectroscopy to verify the variation of thicknesses, X-ray photoelectron spectroscopy to know the composition and scanning electron microscopy, to measure the thicknesses of the films transversely.</p>
Data from: Metabolic theory predicts animal self-thinning
1. The Metabolic Theory of Ecology (MTE) predicts observed patterns in ecology based on metabolic rates of individuals. The theory is influential but also criticized for a lack of firm empirical evidence confirming MTE's quantitative predictions of processes, e.g. outcome of competition, at population or community level. 2. Self-thinning is a well-known population level phenomenon among plants, but a much less studied phenomenon in animal populations and no consensus exists on what a universal thinning slope for animal populations might be, or if it exists. 3. The goal of this study was to use animal self-thinning as a tool to test population-level predictions from MTE, by analyzing (i) if self-thinning can be induced in populations of house crickets (Acheta domesticus) and (ii) if the resulting thinning trajectories can be predicted from metabolic theory, using estimates of the species-specific metabolic rate of A. domesticus 4. I performed a laboratory study where the growth of A. domesticus was followed, from hatching until emergence as adults, in 71 cohorts of five different starting densities. 5. 96% of all cohorts in the three highest starting densities showed evidence of self-thinning, with estimated thinning slopes in general being remarkably close to that expected under metabolic constraints: A cross-sectional analysis of all data showing evidence of self-thinning produced an OLS slope of -1.11, exactly that predicted from specific metabolic allometry of Acheta domesticus. This result is furthermore supported by longitudinal analyses, allowing for independent responses within cohorts, producing a mean OLS slope across cohorts of -1.13 and a fixed effect LMEM slope of -1.09. Sensitivity analysis showed that these results are robust to how the criterion for on-going self-thinning was defined. Finally, also as predicted by metabolic theory, temperature had a negative effect on the thinning intercept, producing an estimate of the activation energy identical to that suggested by MTE. 6. This study demonstrates a direct link between the metabolic rate of individuals and a population-level ecological process and as such provides strong support for research that aims to integrate body mass, via its effect on metabolism, consumption and competition, into models of populations and communities.
Data from: Thin Al1-xGaxAs0.56Sb0.44 diodes with extremely weak temperature dependence of avalanche breakdown
When using avalanche photodiodes (APDs) in applications, temperature dependence of avalanche breakdown voltage is one of the performance parameters to be considered. Hence, novel materials developed for APDs require dedicated experimental studies. We have carried out such a study on thin Al1–xGaxAs0.56Sb0.44 p–i–n diode wafers (Ga composition from 0 to 0.15), plus measurements of avalanche gain and dark current. Based on data obtained from 77 to 297 K, the alloys Al1−xGaxAs0.56Sb0.44 exhibited weak temperature dependence of avalanche gain and breakdown voltage, with temperature coefficient approximately 0.86–1.08 mV K−1, among the lowest values reported for a number of semiconductor materials. Considering no significant tunnelling current was observed at room temperature at typical operating conditions, the alloys Al1−xGaxAs0.56Sb0.44 (Ga from 0 to 0.15) are suitable for InP substrates-based APDs that require excellent temperature stability without high tunnelling current.
Plot Data: Analysis of thin liquid films driven by SAW
<p>Data of the relevant plots of the thesis</p>
Figure 10. Landmarks and the thin plate spline resulting from a in Morphometrics: History, development methods and prospects
Figure 10. Landmarks and the thin plate spline resulting from a comparison of D'Arcy Thompson's (1917) drawings of Argyroplecus (left) and Sternoptyx (right) after GLS Procrustes alignment of their landmark configurations. In this calculation Argyroplecus was designated as the reference configuration and Sternoptyx the target configuration. It is instructive to compare the calculated thin plate spline representation of this deformation with Thompson's conceptual transformation grid for these same images (see Fig. 4). The total bending energy (= anisotropic deformation) is calculated as the sum of bending energies specified by the reference-to-target deformation at each landmark location and represents a useful means of quantifying shape variation within the sample. For this comparison the total bending energy is 1.25.
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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.